PT AU BA BE GP AF BF CA TI SO SE BS LA DT CT CY CL SP HO DE ID AB C1 RP EM RI OI FU FX CR NR TC Z9 U1 U2 PU PI PA SN EI BN J9 JI PD PY VL IS PN SU SI MA BP EP AR DI D2 EA PG WC SC GA UT PM OA HC HP DA J Ficcadenti, V; Cerqueti, R; Ausloos, M; Dhesi, G Ficcadenti, Valerio; Cerqueti, Roy; Ausloos, Marcel; Dhesi, Gurjeet Words ranking and Hirsch index for identifying the core of the hapaxes in political texts JOURNAL OF INFORMETRICS English Article Text analysis; H-index; Rank-size law; Hapaxes; US Presidents speeches LAW; DISTRIBUTIONS; AUTHORS; IMPACT; DATE This paper deals with a quantitative analysis of the content of official political speeches. We study a set of about one thousand talks pronounced by the US Presidents, ranging from Washington to Trump. In particular, we search for the relevance of the rare words, i.e. those said only once in each speech - the so-called hapaxes. We implement a rank-size procedure of Zipf-Mandelbrot type for discussing the hapaxes' frequencies regularity over the overall set of speeches. Starting from the obtained rank-size law, we define and detect the core of the hapaxes set by means of a procedure based on an Hirsch index variant. We discuss the resulting list of words in the light of the overall US Presidents' speeches. We further show that this core of hapaxes itself can be well fitted through a Zipf-Mandelbrot law and that contains elements producing deviations at the low ranks between scatter plots and fitted curve - the so-called king and vice-roy effect. Some socio-political insights are derived from the obtained findings about the US Presidents messages. (C) 2020 Elsevier Ltd. All rights reserved. [Ficcadenti, Valerio; Cerqueti, Roy; Dhesi, Gurjeet] London South Bank Univ, Sch Business, London SE1 0AA, England; [Cerqueti, Roy] Sapienza Univ Rome, Dept Social & Econ Sci, I-00185 Rome, Italy; [Ausloos, Marcel] Univ Leicester, Sch Business, Leicester LE2 1RQ, Leics, England; [Ausloos, Marcel] Bucharest Univ Econ Studies, Dept Stat & Econometr, Bucharest, Romania Ficcadenti, V (corresponding author), London South Bank Univ, Sch Business, London SE1 0AA, England. ficcadv2@lsbu.ac.uk; roy.cerqueti@uniroma1.it; ma683@le.ac.uk; dhesig@lsbu.ac.uk Ficcadenti, Valerio/0000-0001-8786-8213 Ausloos M, 2013, SCIENTOMETRICS, V95, P895, DOI 10.1007/s11192-012-0936-x; Ausloos M, 2012, CHAOS SOLITON FRACT, V45, P1349, DOI 10.1016/j.chaos.2012.06.016; Ausloos M, 2012, PHYS REV E, V86, DOI 10.1103/PhysRevE.86.031108; Ausloos M, 2010, PHYSICA A, V389, P2835, DOI 10.1016/j.physa.2010.02.038; Ausloos M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0166011; Ausloos M, 2016, SCIENTOMETRICS, V106, P347, DOI 10.1007/s11192-015-1704-5; Ausloos M, 2015, PHYSICA A, V438, P568, DOI 10.1016/j.physa.2015.06.010; Bauer L., 2001, MORPHOLOGICAL PRODUC, V95; Bauer Laurie, 1983, ENGLISH WORD FORMATI; Cerqueti R, 2015, PHYSICA A, V421, P187, DOI 10.1016/j.physa.2014.11.027; Chan SWK, 2017, DECIS SUPPORT SYST, V94, P53, DOI 10.1016/j.dss.2016.10.006; Cinelli M, 2021, ANN OPER RES, V299, P593, DOI 10.1007/s10479-019-03372-2; Cochran JJ, 2014, ANN OPER RES, V215, P63, DOI 10.1007/s10479-012-1189-z; Deng WB, 2017, PHYSICA A, V481, P167, DOI 10.1016/j.physa.2017.04.045; Drozdz S, 2016, INFORM SCIENCES, V331, P32, DOI 10.1016/j.ins.2015.10.023; Feldman R., 2007, TEXT MINING HDB ADV; Ficcadenti V, 2019, EXPERT SYST APPL, V123, P127, DOI 10.1016/j.eswa.2018.12.049; Frimpon MF, 2013, J POLIT LAW, V6, P111, DOI 10.5539/jpl.v6n1p111; Greenspahn F. 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AUG 2020 14 3 101054 10.1016/j.joi.2020.101054 19 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science NN5JF WOS:000568824100012 Green Submitted 2021-10-14 J Xu, S; Hao, LY; An, X; Yang, GC; Wang, FF Xu, Shuo; Hao, Liyuan; An, Xin; Yang, Guancan; Wang, Feifei Emerging research topics detection with multiple machine learning models JOURNAL OF INFORMETRICS English Article Emerging research topics; Topic modeling; Dynamic Influence Model; Citation Influence Model; Machine learning CO-WORD ANALYSIS; INFORMATION-SCIENCE; RESEARCH FIELDS; RESEARCH FRONTS; IDENTIFY; EVOLUTION; TRENDS; PUBLICATIONS; TECHNOLOGIES; REFERENCES Emerging research topic detection can benefit the research foundations and policy-makers. With the long-term and recent interest in detecting emerging research topics, various approaches are proposed in the literature. Though, there is still a lack of well-established linkages between the clear conceptual definition of emerging research topics and the proposed indicators for operationalization. This work follows the definition by Wang (2018), and several machine learning models are together used to detect and foresight the emerging research topics. Finally, experimental results on gene editing dataset discover three emerging research topics, which make clear that it is feasible to identify emerging research topics with our framework. (C) 2019 Elsevier Ltd. All rights reserved. [Xu, Shuo; Hao, Liyuan; Wang, Feifei] Beijing Univ Technol, Coll Econ & Management, Res Base Beijing Modern Mfg Dev, 100 PingLeYuan, Beijing 100124, Peoples R China; [An, Xin] Beijing Forestry Univ, Sch Econ & Management, 35 Qinghua East Rd, Beijing 100083, Peoples R China; [Yang, Guancan] Renmin Univ China, Sch Informat Resource Management, 59 Zhongguancun St, Beijing 100872, Peoples R China An, X (corresponding author), Beijing Forestry Univ, Sch Econ & Management, 35 Qinghua East Rd, Beijing 100083, Peoples R China. xushuo@bjut.edu.cn; Leanne.H@qq.com; anxin@bjfu.edu.cn; yanggc@ruc.edu.cn; feifeiwang@bjut.edu.cn Guan-Can, Yang/I-5791-2013 Guan-Can, Yang/0000-0002-1706-1884 Social Science Foundation of Beijing Municipality [17GLB074]; Natural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of Guangdong Province [2018A030313695] This research received the financial support from Social Science Foundation of Beijing Municipality under grant number 17GLB074, and Natural Science Foundation of Guangdong Province under grant number 2018A030313695. Our gratitude also goes to the anonymous reviewers for their valuable comments. 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Informetr. NOV 2019 13 4 100983 10.1016/j.joi.2019.100983 19 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science JU7SB WOS:000501871000011 2021-10-14 J Yu, HQ; Xiao, TT; Xu, SM; Wang, YF Yu, Houqiang; Xiao, Tingting; Xu, Shenmeng; Wang, Yuefen Who posts scientific tweets? An investigation into the productivity, locations, and identities of scientific tweeters JOURNAL OF INFORMETRICS English Article Altmetrics; Twitter; Scholarly communication; Scientific tweeters; Geographic distribution SCIENCE; BOT; ACCOUNTS; IMPACT Twitter altmetrics has been proposed to measure the popularity and the potential societal impact of scientific products, but scientific tweeters who produce the Twitter altmetrics data have not been well explored. The study, by analyzing 2.63 million scientific tweeters' data that are extracted from the Altmetric.com company dataset, is aimed to reveal their productivity and geographic distribution in a comprehensive way. To gain a more in-depth understanding of their account types and identities, 1468 scientific tweeters of different levels of activeness are sampled for further analysis. Our results show that: (1) The extent to which a small proportion of tweeters have posted most of scientific tweets increases over time. In 2016, 10% of scientific tweeters have posted 80% of scientific tweets; (2) Scientific tweeters are widely distributed around the world but in a different pattern with the distribution of general Twitter users. In addition, scientific tweeters are found to be more active in tweeting scientific products than retweeting them in certain areas. (3) Manual coding of the sampled tweeters shows that the percentage of bot accounts among scientific tweeters is 1.8%, which is much lower than that among general Twitter users. Moreover, 73% of scientific tweeters use Twitter for professional purpose, 76% use real names for their accounts, and 16% are institutional accounts. (4) Identities of scientific tweeters are diversified. 49% of them are researchers among which university faculty is the major type, and 38% of them are the general public. With these results we suggest number of scientific tweets is not a good indicator of measuring either popularity or impact, tweeter's productivity, location and identities must be taken into consideration in interpreting the meaning of Twitter altmetrics. (C) 2019 Elsevier Ltd. All rights reserved. [Yu, Houqiang; Wang, Yuefen] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China; [Yu, Houqiang] Jiangsu Collaborat Innovat Ctr Social Safety Sci, Nanjing, Jiangsu, Peoples R China; [Xiao, Tingting] Nanjing Lib, Jiangsu Inst Qual & Standardizat, Nanjing, Jiangsu, Peoples R China; [Xu, Shenmeng] Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC USA Yu, HQ (corresponding author), Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China.; Yu, HQ (corresponding author), Jiangsu Collaborat Innovat Ctr Social Safety Sci, Nanjing, Jiangsu, Peoples R China. yuhouq@yeah.net Yu, Houqiang/AAJ-4602-2020; Xu, Shenmeng/C-4193-2013 Yu, Houqiang/0000-0002-9241-6630; Xu, Shenmeng/0000-0001-8475-0746 National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71804067]; Youth Funding of Social Science of Ministry of Education [18YJC870023]; Fundamental Research Funds for the Central Universities of ChinaFundamental Research Funds for the Central Universities [30918013107]; Youth Funding of School of Economics and Management [JGQN1803]; Priority Academic Program Development of Jiangsu Higher Education Institutions The research is supported by the National Natural Science Foundation of China (NO. 71804067), the Youth Funding of Social Science of Ministry of Education (18YJC870023), the Fundamental Research Funds for the Central Universities of China (No. 30918013107) and Youth Funding of School of Economics and Management (JGQN1803) and A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions. 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Informetr. AUG 2019 13 3 841 855 10.1016/j.joi.2019.08.001 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science IV1PU WOS:000484051000008 2021-10-14 J Shi, GY; Kong, YX; Yuan, GH; Wu, RJ; Zeng, A; Medo, M Shi, Gui-Yuan; Kong, Yi-Xiu; Yuan, Guang-Hui; Wu, Rui-Jie; Zeng, An; Medo, Matus Discoverers in scientific citation data JOURNAL OF INFORMETRICS English Article Citation networks; Preferential attachment; Microscopic mechanisms; Prediction PREFERENTIAL ATTACHMENT; IDENTIFICATION; ADVANTAGE; NETWORKS Identifying the future influential papers among the newly published ones is an important yet challenging issue in bibliometrics. As newly published papers have no or limited citation history, linear extrapolation of their citation counts-which is motivated by the well-known preferential attachment mechanism-is not applicable. We translate the recently introduced notion of discoverers to the citation network setting, and show that there are authors who frequently cite recent papers that become highly-cited in the future; these authors are referred to as discoverers. We develop a method for early identification of highly-cited papers based on the early citations from discoverers. The results show that the identified discoverers have a consistent citing pattern over time, and the early citations from them can be used as a valuable indicator to predict the future citation counts of a paper. The discoverers themselves are potential future outstanding researchers as they receive more citations than average. (C) 2019 Elsevier Ltd. All rights reserved. [Shi, Gui-Yuan; Kong, Yi-Xiu; Wu, Rui-Jie; Medo, Matus] Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland; [Yuan, Guang-Hui] Shanghai Univ Finance & Econ, Fintech Res Inst, Shanghai 200433, Peoples R China; [Zeng, An] Beijing Normal Univ, Sch Syst Sci, Beijing 100875, Peoples R China; [Medo, Matus] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu 610054, Sichuan, Peoples R China; [Medo, Matus] Univ Hosp Bern, Inselspital, Dept Radiat Oncol, CH-3010 Bern, Switzerland; [Medo, Matus] Univ Bern, CH-3010 Bern, Switzerland Medo, M (corresponding author), Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland.; Zeng, A (corresponding author), Beijing Normal Univ, Sch Syst Sci, Beijing 100875, Peoples R China.; Medo, M (corresponding author), Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu 610054, Sichuan, Peoples R China.; Medo, M (corresponding author), Univ Hosp Bern, Inselspital, Dept Radiat Oncol, CH-3010 Bern, Switzerland.; Medo, M (corresponding author), Univ Bern, CH-3010 Bern, Switzerland. anzeng@bnu.edu.cn; matus.medo@unifr.ch Kong, Yixiu/0000-0003-1877-5202; Shi, Gui-Yuan/0000-0003-4599-7388; Yuan, Guanghui/0000-0002-0897-1448; Medo, Matus/0000-0001-8865-9085 National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61603046]; Natural Science Foundation of BeijingBeijing Natural Science Foundation [L160008]; China Scholarship CouncilChina Scholarship Council The authors would like to thank Prof. Yi-Cheng Zhang for helpful discussion. This work was supported by the National Natural Science Foundation of China (Grant No. 61603046), the Natural Science Foundation of Beijing (Grant No. L160008), and the China Scholarship Council. 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Informetr. MAY 2019 13 2 717 725 10.1016/j.joi.2019.03.017 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science IB0FF WOS:000469932800019 Green Submitted 2021-10-14 J Sivertsen, G; Rousseau, R; Zhang, L Sivertsen, Gunnar; Rousseau, Ronald; Zhang, Lin Measuring scientific contributions with modified fractional counting JOURNAL OF INFORMETRICS English Article Scientific contributions; Research output; Bibliometrics; Full counting; Fractional counting; Harmonic counting; Modified fractional counting; Sensitivity parameter; Performance indicators; Rankings; Leiden Ranking; Web of Science; Norwegian Science Index PUBLICATION; SYSTEMS We develop and propose a new counting method at the aggregate level for contributions to scientific publications called modified fractional counting (MFC). We show that, compared to traditional complete-normalized fractional counting, it eliminates the extreme differences in contributions over time that otherwise occur between scientists that mainly publish alone or in small groups and those that publish with large groups of co-authors. As an extra benefit we find that scientists in different areas of research turn out to have comparable average contributions to scientific articles. We test the method on scientists at Norway's largest universities and find that, at an aggregate level, it indeed supports comparability across different co-authorship practices as well as between areas of research. MFC is thereby useful whenever the research output from institutions with different research profiles are compared, as e.g., in the Leiden Ranking. Finally, as MFC is actually a family of indicators, depending on a sensitivity parameter, it can be adapted to the circumstances. (C) 2019 The Authors. Published by Elsevier Ltd. [Sivertsen, Gunnar] Nord Inst Studies Innovat Res & Educ, Oslo, Norway; [Rousseau, Ronald] Univ Antwerp, Fac Social Sci, B-2020 Antwerp, Belgium; [Rousseau, Ronald; Zhang, Lin] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Leuven, Belgium; [Rousseau, Ronald; Zhang, Lin] Katholieke Univ Leuven, Dept MSI, Leuven, Belgium; [Zhang, Lin] Wuhan Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China Zhang, L (corresponding author), Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Leuven, Belgium.; Zhang, L (corresponding author), Katholieke Univ Leuven, Dept MSI, Leuven, Belgium. zhanglin_1117@126.com Sivertsen, Gunnar/E-1159-2012; Zhang, Lin/M-3007-2017 Sivertsen, Gunnar/0000-0003-1020-3189; Zhang, Lin/0000-0003-0526-9677 National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71573085]; Social Science Scholarship in HeNan Province [2018-YXXZ-10]; FORINNPOL programme at the Research Council of Norway [256223] Lin Zhang acknowledges support from the National Natural Science Foundation of China (Grant No. 71573085) and the Social Science Scholarship in HeNan Province (Grant 2018-YXXZ-10). Gunnar Sivertsen acknowledges the support from the FORINNPOL programme, project number 256223, at the Research Council of Norway. The authors thank Tim Engels (University of Antwerp) and anonymous reviewers for helpful remarks. 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Informetr. MAY 2019 13 2 679 694 10.1016/j.joi.2019.03.010 16 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science IB0FF WOS:000469932800016 Green Published, hybrid 2021-10-14 J Zhang, Y; Wang, M; Gottwalt, F; Saberi, M; Chang, E Zhang, Yu; Wang, Min; Gottwalt, Florian; Saberi, Morteza; Chang, Elizabeth Ranking scientific articles based on bibliometric networks with a weighting scheme JOURNAL OF INFORMETRICS English Article Scientific article ranking; Ranking algorithm; Citation analysis; Heterogeneous network AUTHORSHIP; CITATION; CREDIT; BYLINE; PUBLICATION; ALLOCATION; PAGERANK; PRESTIGE As the volume of scientific articles has grown rapidly over the last decades, evaluating their impact becomes critical for tracing valuable and significant research output. Many studies have proposed various ranking methods to estimate the prestige of academic papers using bibliometric methods. However, the weight of the links in bibliometric networks has been rarely considered for article ranking in existing literature. Such incomplete investigation in bibliometric methods could lead to biased ranking results. Therefore, a novel scientific article ranking algorithm, W-Rank, is introduced in this study proposing a weighting scheme. The scheme assigns weight to the links of citation network and authorship network by measuring citation relevance and author contribution. Combining the weighted bibliometric networks and a propagation algorithm, W-Rank is able to obtain article ranking results that are more reasonable than existing PageRank-based methods. Experiments are conducted on both arXiv hep-th and Microsoft Academic Graph datasets to verify the W-Rank and compare it with three renowned article ranking algorithms. 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Informetr. MAY 2019 13 2 616 634 10.1016/j.joi.2019.03.013 19 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science IB0FF WOS:000469932800012 2021-10-14 J Rossi, L; Damaceno, RJP; Freire, IL; Bechara, EJH; Mena-Chalco, JP Rossi, Luciano; Damaceno, Rafael J. P.; Freire, Igor L.; Bechara, Etelvino J. H.; Mena-Chalco, Jesus P. Topological metrics in academic genealogy graphs JOURNAL OF INFORMETRICS English Article Topological metrics; Academic genealogy; Advisor-advisee relationship; Genealogical graph IMPACT Academic genealogy aims to structure and analyze the mentoring relationships between advisor and advisee. The representation of this structure results in academic genealogy graphs. For the analysis and characterization of these graphs, we present a set of metrics and their corresponding mirror metrics that capture the characteristics of its topological structure and represent them as quantitative attributes. The metrics of fecundity, fertility, descendants, cousins, generations, and relationships consider the descendants of the academics represented in the graph. The mirror metric of these topological metrics considers the ascendancy of academics. Individually, the metrics have strong semantic intuition and define characteristics regarding the performance in the mentoring of an academic. Together, the metrics are useful for the identification, characterization, and classification of communities and their members. The genealogical data available through the platforms of the Mathematics Genealogy Project and the Academic Family Tree were used as case studies. Two hundred thirteen thousand and 675,000 academic records were obtained for each project. We analyze the capacity of characterization of the metrics using the structuring of a similarity graph and through the distribution of the nodes in principal components. We observed that the set of metrics is capable of capturing the configuration pattern existing in genealogy graphs independently of its scale. (C) 2018 Elsevier Ltd. All rights reserved. [Rossi, Luciano; Damaceno, Rafael J. P.; Freire, Igor L.; Mena-Chalco, Jesus P.] Fed Univ ABC, Ctr Math Computat & Cognit, Santo Andre, Brazil; [Bechara, Etelvino J. H.] Univ Sao Paulo, Chem Inst, Dept Fundamental Chem, Sao Paulo, Brazil Mena-Chalco, JP (corresponding author), Fed Univ ABC, Ctr Math Computat & Cognit, Santo Andre, Brazil. luciano.rossi@ufabc.edu.br; rafael.damaceno@ufabc.edu.br; igor.freire@ufabc.edu.br; ebechara@iq.usp.br; jesus.mena@ufabc.edu.br Freire, Igor Leite/I-6957-2012; Rossi, Luciano LR/A-4313-2019; Bechara, Etelvino JH/AAN-1136-2021; Damaceno, Rafael Jeferson Pezzuto/AAG-7417-2019; Rossi, Luciano/P-4756-2019; Bechara, Etelvino JH/M-6251-2013; Mena-Chalco, Jesus P./C-7550-2014 Freire, Igor Leite/0000-0003-0539-9674; Rossi, Luciano LR/0000-0002-3841-2321; Bechara, Etelvino JH/0000-0001-9526-2529; Damaceno, Rafael Jeferson Pezzuto/0000-0003-4910-1534; Rossi, Luciano/0000-0002-3841-2321; Bechara, Etelvino JH/0000-0001-9526-2529; Mena-Chalco, Jesus P./0000-0001-7509-5532 CNPqConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ); CAPESCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) The authors would like to express their thanks to CNPq and CAPES for financial support for this work. We are thankful to the anonymous reviewers for their valuable comments and suggestions which improved considerably our paper. We are also indebted with Professor Ronaldo Cristiano Prati for his useful suggestions. Agarwal A, 2016, ASIAN J ANDROL, V18, P296, DOI 10.4103/1008-682X.171582; Blondel VD, 2008, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2008/10/P10008; Chang S., 2011, ACAD GENEALOGY MATH; Damaceno R. 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Informetr. NOV 2018 12 4 1042 1058 10.1016/j.joi.2018.08.004 17 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HB5CH WOS:000451074800003 2021-10-14 J Fiala, D; Tutoky, G Fiala, Dalibor; Tutoky, Gabriel PageRank-based prediction of award-winning researchers and the impact of citations JOURNAL OF INFORMETRICS English Article PageRank; Scholars; Citations; Rankings; Web of science; Awards AUTHOR; NETWORKS In this article some recent disputes about the usefulness of PageRank-based methods for the task of identifying influential researchers in citation networks are discussed. In particular, it focuses on the performance of these methods in relation to simple citation counts. With the aim of comparing these two classes of ranking methods, we analyze a large citation network of authors based on almost two million computer science papers and apply four PageRank-based and citations-based techniques to rank authors by importance throughout the period 1990-2014 on a yearly basis. We use ACM SIGMOD E. F. Codd Innovations Award and ACM A. M. Turing Award winners in our baseline lists of outstanding scientists and define four relevance weighting schemes with some predictive power for the ranking methods to increase the relevance of researchers winning in the future. We conclude that citations-based rankings perform better for Codd Award winners, but PageRank-based methods do so for Turing Award recipients when using absolute ranks and PageRank-based rankings outperform the citations-based techniques for both Codd and Turing Award laureates when relative ranks are considered. However, the two ranking groups show smaller differences if more weight is assigned to the relevance of future awardees. (c) 2017 Elsevier Ltd. All rights reserved. [Fiala, Dalibor; Tutoky, Gabriel] Univ West Bohemia, Dept Comp Sci & Engn, Univ 8, Plzen 30614, Czech Republic; [Tutoky, Gabriel] Tech Univ Kosice, Dept Cybernet & Artificial Intelligence, Letna 9, Kosice 04001, Slovakia Fiala, D (corresponding author), Univ West Bohemia, Dept Comp Sci & Engn, Univ 8, Plzen 30614, Czech Republic. dalfia@kiv.zcu.cz; gabriel.tutoky@tuke.sk Fiala, Dalibor/C-8690-2012; Rosenstein, Maarika/AAE-5585-2019 Fiala, Dalibor/0000-0002-2528-771X; Ministry of Education, Youth and Sports of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic [LO1506] This work was supported in part by the Ministry of Education, Youth and Sports of the Czech Republic under grant no. LO1506. Thanks are due to Thomson Reuters for providing us with access to the data. We also thank the anonymous reviewers for their useful comments. And, finally, we would like to thank Jan Paralic for the many useful discussions. 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NOV 2017 11 4 1044 1068 10.1016/j.joi.2017.09.008 25 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FQ0DK WOS:000418020600010 2021-10-14 J Franceschini, F; Maisano, D Franceschini, Fiorenzo; Maisano, Domenico A rejoinder to the comments of Benedetto et al. on the paper "Critical remarks on the Italian research assessment exercise VQR 2011-2014" (Journal of Informetrics, 11(2): 337-357) JOURNAL OF INFORMETRICS English Letter [Franceschini, Fiorenzo; Maisano, Domenico] Politecn Torino, DIGEP Dept Management & Prod Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy Franceschini, F (corresponding author), Politecn Torino, DIGEP Dept Management & Prod Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy. fiorenzo.franccschini@polito.it; domenico.maisano@polito.it Franceschini, Fiorenzo/C-2583-2013; MAISANO, Domenico A/B-4301-2010 Franceschini, Fiorenzo/0000-0001-7131-4419; MAISANO, Domenico/0000-0002-8154-4469 Abramo G, 2016, SCIENTOMETRICS, V109, P2053, DOI 10.1007/s11192-016-2153-5; Benedetto S., 2017, J INFORMETR IN PRESS, V11, P337; Benedetto S., 2016, ANALISI EMPIRICA ALG; Franceschini F, 2017, J INFORMETR, V11, P337, DOI 10.1016/j.joi.2017.02.005; Stockburger DW, 1996, INTRO STAT CONCEPTS; Waltman L., 2017, ARXIV170302334 6 2 2 0 8 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. AUG 2017 11 3 645 646 10.1016/j.joi.2017.05.013 2 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FG6UG WOS:000410528900004 Green Submitted 2021-10-14 J Glaser, J Glaeser, Jochen A fight on epistemological quicksand: Comment on the dispute between van den Besselaar et al. and Butler JOURNAL OF INFORMETRICS English Letter SYSTEM; COUNTS [Glaeser, Jochen] TU Berlin, Ctr Technol & Soc, Berlin, Germany Glaser, J (corresponding author), TU Berlin, Ctr Technol & Soc, Berlin, Germany. 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AUG 2017 11 3 927 932 10.1016/j.joi.2017.05.019 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FG6UG WOS:000410528900034 2021-10-14 J Lando, T; Bertoli-Barsotti, L Lando, Tommaso; Bertoli-Barsotti, Lucio Measuring the citation impact of journals with generalized Lorenz curves JOURNAL OF INFORMETRICS English Article Journal impact factor; Stochastic dominance; Quantile function; Lorenz curve STOCHASTIC-DOMINANCE; INEQUALITY MEASURES; RANKINGS; ARTICLE; INDEXES To improve comparisons of journals, which are typically based on single-value indicators, such as the journal impact factor (JIF), this paper proposes a functional approach. We discuss interpretatively three progressively finer dominance relations. The first one corresponds to a comparison between the quantile functions of the citation distributions. The second one consists in comparing the integrals of the quantile functions namely, the generalized Lorenz curves (GLCs). The third one consists in comparing the integrals of the GLCs, where the integration is designed to emphasize the role of the "central body" of the articles of the journal. Although dominance relations are generally not complete orders, we demonstrate with an empirical analysis that it is possible to increase significantly the proportion of pairs of journals that are comparable by moving from the first to the second criterion, and then from the second to the third. Because, in practical applications, it may be convenient to reduce such a functional comparison to a scalar comparison between indicators, we follow an axiomatic approach to identify classes of indicators that are isotonic with the criteria introduced. We demonstrate that the established JIF may be usefully improved if it is corrected simply by multiplying it by one minus the Gini coefficient. The resulting index, defined as stabilized-JIF, has many attractive features and it is isotonic with all the dominance relations introduced. (C) 2017 Elsevier Ltd. All rights reserved. [Lando, Tommaso; Bertoli-Barsotti, Lucio] Univ Bergamo, Dept Management Econ & Quantitat Methods, Via Caniana 2, I-24127 Bergamo, Italy; [Lando, Tommaso] VSB TU Ostrava, Dept Finance, Sokolska Trida 33, Ostrava, Czech Republic Bertoli-Barsotti, L (corresponding author), Univ Bergamo, Dept Management Econ & Quantitat Methods, Via Caniana 2, I-24127 Bergamo, Italy. lucio.bertoli-barsotti@unibg.it BERTOLI-BARSOTTI, LUCIO/Q-1118-2016 BERTOLI-BARSOTTI, LUCIO/0000-0003-4508-3172; LANDO, Tommaso/0000-0003-4288-0264 Italian funds ex MURST; Italian Talented Young researchers project Italy(R); through the Czech Science Foundation (GACR) [17-23411Y] This paper has been supported by the Italian funds ex MURST 60% 2015 and the Italian Talented Young researchers project Italy (R) 2015/16. The research was also supported through the Czech Science Foundation (GACR) under project 17-23411Y (to T.L.). 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Informetr. AUG 2017 11 3 689 703 10.1016/j.joi.2017.05.005 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FG6UG WOS:000410528900010 2021-10-14 J Zhu, YJ; Yan, EJ Zhu, Yongjun; Yan, Erjia Examining academic ranking and inequality in library and information science through faculty hiring networks JOURNAL OF INFORMETRICS English Article Library and information science; Faculty hiring networks; Placement; LIS ranking; Academic inequality DOCTORAL PROGRAMS; POLITICAL-SCIENCE; PLACEMENT; COMMUNICATION; PH.D.S In this study, we examine academic ranking and inequality in library and information science (LIS) using a faculty hiring network of 643 faculty members from 44 LIS schools in the United States. We employ four groups of measures to study academic ranking, including adjacency, placement and hiring, distance-based measures, and hubs and authorities. Among these measures, closeness and hub measures have the highest correlation with the U.S. News ranking (r = 0.78). We study academic inequality using four distinct methods that include downward/upward placement, Lorenz curve, cliques, and egocentric networks of LIS schools and find that academic inequality exists in the LIS community. We show that the percentage of downward placement (68%) is much higher than that of upward placement (22%); meanwhile, 20% of the 30 LIS schools that have doctoral programs produced nearly 60% of all LIS faculty, with a Gini coefficient of 0.53. We also find cliques of highly ranked schools and a core/periphery structure that distinguishes LIS schools of different ranks. Overall, LIS faculty hiring networks have considerable value in deriving credible academic ranking and revealing faculty exchange within the field. (C) 2017 Elsevier Ltd. All rights reserved. [Zhu, Yongjun; Yan, Erjia] Drexel Univ, Coll Comp & Informat, 3141 Chestnut St, Philadelphia, PA 19104 USA Zhu, YJ (corresponding author), Drexel Univ, Coll Comp & Informat, 3141 Chestnut St, Philadelphia, PA 19104 USA. zhu@drexel.edu; ey86@drexel.edu Zhu, Yongjun/K-2486-2015 Zhu, Yongjun/0000-0003-4787-5122 Institute of Museum and Library Services [RE-07-15-0060-15] We thank Dr. Cassidy R. Sugimoto of Indiana University for her valuable feedback on an earlier version of this paper. This project was made possible in part by the Institute of Museum and Library Services (Grant Award Number: RE-07-15-0060-15), for the project titled "Building an entity-based research framework to enhance digital services on knowledge discovery and delivery". 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MAY 2017 11 2 641 654 10.1016/j.joi.2017.04.007 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EY3FO WOS:000403857200023 2021-10-14 J Sanchez-Jimenez, R; Guerrero-Bote, VP; Moya-Anegon, F Sanchez-Jimenez, Rodrigo; Guerrero-Bote, Vicente P.; Moya-Anegon, Felix The role of guarantor in scientific collaboration: The neighbourhood matters JOURNAL OF INFORMETRICS English Article Research guarantors; Scientific collaboration; Acknowledgement as guarantor LEADERSHIP; OUTPUT; INSTITUTIONS; INDICATOR; CITATION Output resulting from institutional collaboration has been widely used to create performance indicators, but focusing on research guarantors has recently provided a way to recognize the salient role of certain scientific actors. This paper elaborates on this approach to characterize the performance of an institution as guarantor based not only on its guarantor output but also on the importance of the institutions with which it collaborates. Accepting that guarantorship implies in some way acknowledgement of a prominent role on the part of the collaborating institutions, and that this recognition will be more important the more important the collaborating institutions, the paper describes two approaches to measuring this acknowledgement and discusses their effectiveness in helping to recognize prominent scientific actors by using a case study in the Library and Information Science field. The results show a high assortativity in scientific collaboration relationships, confirming the original hypothesis that important institutions tend to grant prestigious institutions the recognition of their relevance. (C) 2016 Elsevier Ltd. All rights reserved. [Sanchez-Jimenez, Rodrigo] Univ Complutense Madrid, Dept Informat & Lib Sci, SCImago Grp, Madrid, Spain; [Guerrero-Bote, Vicente P.] Univ Extremadura, Dept Informat & Commun, SCImago Grp, Badajoz, Spain; [Moya-Anegon, Felix] CSIC, CCHS, IPP, SCImago Grp, Madrid, Spain Sanchez-Jimenez, R (corresponding author), Univ Complutense Madrid, Dept Informat & Lib Sci, SCImago Grp, Madrid, Spain. rodsanch@ucm.es Sanchez-Jimenez, Rodrigo/C-2446-2013; Guerrero-Bote, Vicente P./E-7546-2016; de Moya Anegon, Felix/C-4004-2009 Sanchez-Jimenez, Rodrigo/0000-0002-3685-7060; Guerrero-Bote, Vicente P./0000-0003-4821-9768; de Moya Anegon, Felix/0000-0002-0255-8628 Junta de Extremadura - Consejeria de Educacion Ciencia Tecnologia; European Social FundEuropean Social Fund (ESF) [GR10019] This work was financed by the Junta de Extremadura - Consejeria de Educacion Ciencia & Tecnologia and the European Social Fund as part of the research group grant GR10019. 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Informetr. FEB 2017 11 1 103 116 10.1016/j.joi.2016.11.004 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EO3SM WOS:000396614600008 2021-10-14 J Singh, M; Chakraborty, T; Mukherjee, A; Goyal, P Singh, Mayank; Chakraborty, Tanmoy; Mukherjee, Animesh; Goyal, Pawan Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization JOURNAL OF INFORMETRICS English Article Venue classification; Feature analysis; Conflict resolution; Entropy QUALITY; IMPACT Classifying publication venues into top-tier or non-top-tier is quite subjective and can be debatable at times. In this paper, we propose ConfAssist, a novel assisting framework for conference categorization that aims to address the limitations in the existing systems and portals for venue classification. We start with the hypothesis that top-tier conferences are much more stable than other conferences and the inherent dynamics of these groups differs to a very large extent. We identify various features related to the stability of conferences that might help us separate a top-tier conference from the rest of the lot. While there are many clear cases where expert agreement can be almost immediately achieved as to whether a conference is a top-tier or not, there are equally many cases that can result in a conflict even among the experts. ConfAssist tries to serve as an aid in such cases by increasing the confidence of the experts in their decision. An analysis of 110 conferences from 22 sub fields of computer science clearly favors our hypothesis as the top-tier conferences are found to exhibit much less fluctuations in the stability related features than the non-top tier ones. We evaluate our hypothesis using systems based on conference categorization. For the evaluation, we conducted human judgment survey with 28 domain experts. The results are impressive with 85.18% classification accuracy. We also compare the dynamics of the newly started conferences with the older conferences to identify the initial signals of popularity. The system is applicable to any conference with atleast 5 years of publication history. (C) 2016 Elsevier Ltd. All rights reserved. [Singh, Mayank; Chakraborty, Tanmoy; Mukherjee, Animesh; Goyal, Pawan] Indian Inst Technol, Dept Comp Sci & Engn, Kharagpur, WB, India Singh, M (corresponding author), Indian Inst Technol, Dept Comp Sci & Engn, Kharagpur, WB, India. mayank.singh@cse.iitkgp.ernet.in; its_tanmoy@cse.iitkgp.ernet.in; animeshm@cse.iitkgp.ernet.in; pawang@cse.iitkgp.ernet.in Bornmann L, 2008, J DOC, V64, P45, DOI 10.1108/00220410810844150; Chakraborty T, 2014, ACM-IEEE J CONF DIG, P351, DOI 10.1109/JCDL.2014.6970190; Chakraborty T, 2014, 2014 PROCEEDINGS OF THE IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2014), P130, DOI 10.1109/ASONAM.2014.6921572; Dunaiski M, 2016, J INFORMETR, V10, P392, DOI 10.1016/j.joi.2016.01.010; Egghe L., 2006, ISSI NEWSLETTER, P8; FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543; Garfield E., 1972, CITATIONS TO DIVIDED; Gipp B, 2009, GOOGLE SCHOLARS RANK, V1, P230; Luong H, 2012, LECT NOTES ARTIF INT, V7198, P426, DOI 10.1007/978-3-642-28493-9_45; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Huang DW, 2016, J INFORMETR, V10, P329, DOI 10.1016/j.joi.2016.02.002; Hussain S, 2008, IADIS INT C INF; Kucuktunc O, 2012, INT SOC SCIENTOMETRI, V6; Larsen B, 2006, Opening Information Horizons, P370; Leydesdorff L, 2011, J INFORMETR, V5, P87, DOI 10.1016/j.joi.2010.09.002; Martins WS, 2009, ACM-IEEE J CONF DIG, P193; Meyer B, 2009, COMMUN ACM, V52, P31, DOI 10.1145/1498765.1498780; Pochhacker F, 2001, META, V46, P410, DOI 10.7202/003847ar; Porter AL, 2007, SCIENTOMETRICS, V72, P117, DOI 10.1007/s11192-007-1700-5; Rafols I, 2010, SCIENTOMETRICS, V82, P263, DOI 10.1007/s11192-009-0041-y; Rahm E, 2005, SIGMOD RECORD, V34, P48, DOI 10.1145/1107499.1107505; Sekercioglu CH, 2008, SCIENCE, V322, P371, DOI 10.1126/science.322.5900.371a; Singh M, 2015, PROCEEDINGS OF THE 15TH ACM/IEEE-CS JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL'15), P257, DOI 10.1145/2756406.2756963; Souto MAM, 2007, LECT NOTES COMPUT SC, V4802, P202; Vasilescu B, 2014, SCI COMPUT PROGRAM, V89, P251, DOI 10.1016/j.scico.2014.01.016; Wang DS, 2013, SCIENCE, V342, P127, DOI 10.1126/science.1237825; Warlick Stefanie E, 2007, Biomed Digit Libr, V4, P1, DOI 10.1186/1742-5581-4-1; West RE, 2012, INNOV HIGH EDUC, V37, P359, DOI 10.1007/s10755-012-9214-3; Xia F., 2015, 2013 IEEE 10 INT C U; Yan S, 2007, ACM-IEEE J CONF DIG, P235, DOI 10.1145/1255175.1255221; Yang ZH, 2012, 2012 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2012), VOL 1, P681, DOI 10.1109/ICMLA.2012.127; Zhang CT, 2009, EMBO REP, V10, P416, DOI 10.1038/embor.2009.74; Zhuang ZM, 2007, ACM-IEEE J CONF DIG, P225, DOI 10.1145/1255175.1255220 33 2 2 1 14 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. NOV 2016 10 4 1005 1022 10.1016/j.joi.2016.08.001 18 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EE4CH WOS:000389548900008 Green Submitted 2021-10-14 J Uddin, S; Khan, A Uddin, Shahadat; Khan, Arif The impact of author-selected keywords on citation counts JOURNAL OF INFORMETRICS English Article Citation counts; Keyword growth; Keyword diversity; Network centrality SOCIAL NETWORK ANALYSIS; ARTICLES; OBESITY; COLLABORATION; DETERMINANTS; PUBLICATIONS; PERFORMANCE; PSYCHOLOGY; INDEX A number of bibliometric studies have shown that many factors impact citation counts besides the scientific quality. This paper used a large bibliometric dataset to investigate the impact of the different statistical properties of author-selected keywords and the network attributes of their co-occurrence networks on citation counts. Four statistical properties of author-selected keywords were considered: (i) Keyword growth (i.e., the relative increase or decrease in the presence statistics of an underlying keyword over a given period of time); (ii) Keyword diversity (i.e., the level of variety in a set of author-selected keywords); (iii) Number of keywords; and (iv) Percentage of new keywords. This study also considered network centrality which is a network attribute from the keyword co-occurrence network. Network centrality was calculated using the average of three basic network centrality measures: degree, closeness and betweenness centrality. A correlation and regression analysis showed that all of these factors had a significant positive relation with citation counts except the percentage of new keywords that had a significant negative relation. However, when the effect of four potential control variables (i.e., the number of article authors, the length of an article, the quality of the journal in which the article was published and the length of the title of an article) were controlled, only four variables related to author-selected keywords showed a significant relation with citation counts. Keyword growth, number of keywords and network centrality showed a positive relation with citation counts; whereas, the percentage of new keywords showed a negative relation with citation counts. The implications of these findings are discussed in this article. (C) 2016 Elsevier Ltd. All rights reserved. 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Informetr. NOV 2016 10 4 1166 1177 10.1016/j.joi.2016.10.004 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EE4CH WOS:000389548900021 2021-10-14 J Thelwall, M; Sud, P Thelwall, Mike; Sud, Pardeep National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator JOURNAL OF INFORMETRICS English Article Scientific co-authorship; gMNCS, MNCS; Geometric Mean Normalized Citation Score; Geometric new crown indicator; Research collaboration COLLABORATION; PATTERNS; COVERAGE; JOURNALS; COMMUNICATION; DISTRIBUTIONS; UNIVERSALITY; PERFORMANCE; MONOGRAPH; SCIENCE The importance of collaboration in research is widely accepted, as is the fact that articles with more authors tend to be more cited. Nevertheless, although previous studies have investigated whether the apparent advantage of collaboration varies by country, discipline, and number of co-authors, this study introduces a more fine-grained method to identify differences: the geometric Mean Normalized Citation Score (gMNCS). Based on comparisons between disciplines, years and countries for two million journal articles, the average citation impact of articles increases with the number of authors, even when international collaboration is excluded. This apparent advantage of collaboration varies substantially by discipline and country and changes a little over time. Against the trend, however, in Russia solo articles have more impact. Across the four broad disciplines examined, collaboration had by far the strongest association with impact in the arts and humanities. Although international comparisons are limited by the availability of systematic data for author country affiliations, the new indicator is the most precise yet and can give statistical evidence rather than estimates. (C) 2015 Elsevier Ltd. All rights reserved. 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Informetr. FEB 2016 10 1 48 61 10.1016/j.joi.2015.11.007 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DG2ZF WOS:000371938600006 Green Published 2021-10-14 J Diaz-Faes, AA; Costas, R; Galindo, MP; Bordons, M Diaz-Faes, Adrian A.; Costas, Rodrigo; Purificacion Galindo, M.; Bordons, Maria Unravelling the performance of individual scholars: Use of Canonical Biplot analysis to explore the performance of scientists by academic rank and scientific field JOURNAL OF INFORMETRICS English Article Canonical Biplot; Multivariate analysis; Bibliometrics; Individual-level; Academic rank AUTHORSHIP; PUBLICATIONS; RESEARCHERS; INDICATORS Individual research performance needs to be addressed by means of a diverse set of indicators capturing the multidimensional framework of science. In this context, Biplot methods emerge as powerful and reliable visualisation tools similar to a scatterplot but capturing the multivariate covariance structures among bibliometric indicators. In this paper, we introduce the Canonical Biplot technique to explore differences in the scientific performance of Spanish CSIC researchers, organised by field (Chemistry and Materials Science) and grouped by academic rank (research fellows and three types of full-time permanent scientists). This method enables us to build a Biplot where the groups of individuals are sorted out by the maximum discriminating power between the different indicators considered. Besides, as confidence intervals are displayed in the plot, statistical differences between groups are liable to be studied simultaneously. Since test hypotheses are sensitive to different sample size effects, sizes for some pairwise comparisons are computed. We have found two gradients: a primary gradient where scientists mainly differ in terms of age, production, number of collaborators, number of highly-cited papers and their position in the byline of the publications; and a second gradient, in which scientists with the same academic rank differ by sort of field. (C) 2015 Elsevier Ltd. All rights reserved. [Diaz-Faes, Adrian A.; Bordons, Maria] CSIC, IFS, Madrid 28037, Spain; [Costas, Rodrigo] Leiden Univ, Ctr Sci & Technol Studies CWTS, NL-2300 AX Leiden, Netherlands; [Purificacion Galindo, M.] Univ Salamanca, Dept Stat, Salamanca 37007, Spain Diaz-Faes, AA (corresponding author), CSIC, IFS, Albasanz 26-28, Madrid 28037, Spain. adrian.arias@cchs.csic.es Galindo-Villardon, Purificacion/E-3594-2013; Diaz-Faes, Adrian A./H-9085-2019 Galindo-Villardon, Purificacion/0000-0001-6977-7545; Diaz-Faes, Adrian A./0000-0003-1928-4608; Costas, Rodrigo/0000-0002-7465-6462 Spanish National Research Council (JAE pre-doctoral grant) This research was supported by the Spanish National Research Council (JAE pre-doctoral grant). This paper was conceived while Adrian A. Diaz-Faes carried out a research stay at the Centre for Science and Technology Studies (CWTS), Leiden University (The Netherlands). 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OCT 2015 9 4 722 733 10.1016/j.joi.2015.04.006 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DA2GF WOS:000367612600004 Green Submitted 2021-10-14 J Song, M; Kim, EHJ; Kim, HJ Song, Min; Kim, Erin Hea-Jin; Kim, Ha Jin Exploring author name disambiguation on PubMed-scale JOURNAL OF INFORMETRICS English Article Author name disambiguation; Named entity recognition; Keyphrase extraction; Machine learning; PubMed MODEL Author name disambiguation (AND) creates a daunting challenge in that disambiguation techniques often draw false conclusions when applied to incomplete or incorrect publication data. It becomes a more critical issue in the biomedical domain where PubMed articles are written by a wide range of researchers internationally. To tackle this issue, we create a carefully hand-crafted training set drawn from the entire PubMed collection by going through multiple iterations. We assess the quality of our training set by comparing it with SCOPUS-based training set. In addition, for the performance enhancement of the AND techniques, we propose a new set of publication features extracted by text mining techniques. The results of the experiments show that all four supervised learning techniques (Random Forest, C4.5, KNN, and SVM) with the new publication features (called NER model) achieve improved performance over the baseline and hybrid edit distance model. (C) 2015 Elsevier Ltd. All rights reserved. [Song, Min; Kim, Erin Hea-Jin; Kim, Ha Jin] Yonsei Univ, Dept Lib & Informat Sci, Seoul 120749, South Korea Song, M (corresponding author), Yonsei Univ, Dept Lib & Informat Sci, 50 Yonsei Ro, Seoul 120749, South Korea. min.song@yonsei.ac.kr; erin.hj.kim@yonsei.ac.kr; hajin_228@yonsei.ac.kr Song, Min/0000-0003-3255-1600; Kim, Hea-Jin/0000-0002-9498-7912 Korea Institute of Science and Technology Information (KISTI) in Republic of Korea [K-14-SG-23-02N-1]; Yonsei University Future-leading Research Initiative [2014-22-0116] This work was supported by Korea Institute of Science and Technology Information (KISTI) in Republic of Korea (file no. K-14-SG-23-02N-1) and (in part) by the Yonsei University Future-leading Research Initiative of 2014(2014-22-0116). Cohen W. 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OCT 2015 9 4 924 941 10.1016/j.joi.2015.08.004 18 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DA2GF WOS:000367612600019 2021-10-14 J Daraio, C; Bonaccorsi, A; Simar, L Daraio, Cinzia; Bonaccorsi, Andrea; Simar, Leopold Efficiency and economies of scale and specialization in European universities: A directional distance approach JOURNAL OF INFORMETRICS English Article Efficiency; National academic systems; Disciplinary specialization; Research performance; Teaching and research; Nonparametric and robust frontier estimation HIGHER-EDUCATION; SCIENTIFIC PRODUCTIVITY; ROBUST VERSIONS; SCOPE; SIZE; IMPACT In this paper we investigate economies of scale and specialization of European universities. The proposed approach builds on the notion that university production is a multi-input multi-output process different than standard production activity. The analyses are based on an interesting database which integrates the main European universities data on inputs and outputs with bibliometric data on publications, impact and collaborations. We pursue a cross-country perspective; we include subject mix and introduce a robust modeling of production trade-offs. Finally we test the statistical significance of scale and specialization and find that they both have a significant impact on the efficiency of the Humboldt model. Nevertheless, confirming previous findings, specialization has not a significant impact on the efficiency of the research model. (C) 2015 Elsevier Ltd. All rights reserved. [Daraio, Cinzia; Simar, Leopold] Univ Roma La Sapienza, Dept Comp Control & Management Antonio Ruberti DI, Via Ariosto 25, I-00185 Rome, Italy; [Bonaccorsi, Andrea] Univ Pisa, Dept Energy & Syst Engn, I-56100 Pisa, Italy; [Simar, Leopold] Catholic Univ Louvain, ISBA, Louvain La Neuve, Belgium Daraio, C (corresponding author), Univ Roma La Sapienza, Dept Comp Control & Management Antonio Ruberti DI, Via Ariosto 25, I-00185 Rome, Italy. daraio@dis.uniroma1.it; a.bonaccorsi@gmail.com; leopold.simar@uclouvain.be "Progetto di Ricerca di Ateneo" of the University of Rome "La Sapienza"; "Inter-university Attraction Pole", Phase VII of the Belgian Government (Belgian Science Policy) [P7/06] Financial support from the "Progetto di Ricerca di Ateneo 2013" of the University of Rome "La Sapienza" is gratefully acknowledged.r Financial support from the "Inter-university Attraction Pole", Phase VII (No. P7/06) of the Belgian Government (Belgian Science Policy) is gratefully acknowledged. 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JUL 2015 9 3 430 448 10.1016/j.joi.2015.03.002 19 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CQ9CB WOS:000360907400002 Green Submitted 2021-10-14 J Liu, WS; Hu, GY; Tang, L; Wang, YD Liu, Weishu; Hu, Guangyuan; Tang, Li; Wang, Yuandi China's global growth in social science research: Uncovering evidence from bibliometric analyses of SSCI publications (1978-2013) JOURNAL OF INFORMETRICS English Article Large-scale bibliometric analysis; Research evaluation; Social sciences development; China; Science and technology policy NANOTECHNOLOGY RESEARCH; COLLABORATION; HUMANITIES; IMPACT; COMMUNICATION; 20TH-CENTURY; PATTERNS; SCHOLARS; JOURNALS; OUTPUT The phenomenon of China's rise as an emerging scientific power has been well documented, yet the development of its social science is less explored. Utilizing up-to-date Social Science Citation Index (SSCI) publication data (1978-2013), this paper probes the patterns and dynamics of China's social science research via bibliometric analyses. Our research indicates that despite the national orientation of social science research and the linguistic obstacle of publishing for an international audience, China's publications in the SSCI dataset have been rising in terms of volume, world share, and global ranking. But China is still not yet a major player in the arena of social sciences, as is evidenced by the number of Chinese journals indexed in SSCI and the lack of Olympic players. Team research features China's international publishing in social science, but the research outputs are highly unbalanced at regional and institutional levels. (C) 2015 Elsevier Ltd. All rights reserved. [Liu, Weishu] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200052, Peoples R China; [Hu, Guangyuan; Tang, Li] Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai 200433, Peoples R China; [Wang, Yuandi] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China Tang, L (corresponding author), Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai 200433, Peoples R China. tang.li@shufe.edu.cn Qutab, Saima/S-4333-2019; , li/AAG-8045-2021; Li, Tang/B-6182-2011 , li/0000-0003-4971-6192; Li, Tang/0000-0003-4971-6192; Liu, Weishu/0000-0001-8780-6709 National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71303147, 71132006, 71302133]; Shanghai Pujiang Talent's ProgramShanghai Pujiang Program [13PJC052]; Shanghai Soft Science Key Project [14692102900] This research is supported by National Natural Science Foundation of China (#71303147, #71132006 and #71302133), Shanghai Pujiang Talent's Program (#13PJC052) and Shanghai Soft Science Key Project (#14692102900). 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JUL 2015 9 3 555 569 10.1016/j.joi.2015.05.007 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CQ9CB WOS:000360907400013 2021-10-14 J Cena, A; Gagolewski, M; Mesiar, R Cena, Anna; Gagolewski, Marek; Mesiar, Radko Problems and challenges of information resources producers' clustering JOURNAL OF INFORMETRICS English Article Aggregation; Hierarchical clustering; Distance; Metric IMPACT ASSESSMENT; H-INDEX Classically, unsupervised machine learning techniques are applied on data sets with fixed number of attributes ( variables). However, many problems encountered in the field of informetrics face us with the need to extend these kinds of methods in a way such that they may be computed over a set of nonincreasingly ordered vectors of unequal lengths. Thus, in this paper, some new dissimilarity measures (metrics) are introduced and studied. Owing to that we may use, e.g. hierarchical clustering algorithms in order to determine an input data set's partition consisting of sets of producers that are homogeneous not only with respect to the quality of information resources, but also their quantity. (c) 2015 Elsevier Ltd. All rights reserved. [Cena, Anna; Gagolewski, Marek] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland; [Gagolewski, Marek] Warsaw Univ Technol, Fac Math & Informat Sci, PL-00662 Warsaw, Poland; [Mesiar, Radko] Slovak Univ Technol Bratislava, Dept Math, Fac Civil Engn, Bratislava 81368, Slovakia; [Mesiar, Radko] Div Univ Ostrava IRAFM, Natl Supercomp Ctr IT4Innovat, Ostrava 70103 1, Czech Republic Cena, A (corresponding author), Polish Acad Sci, Syst Res Inst, Ul Newelska 6, PL-01447 Warsaw, Poland. cena@ibspan.waw.pl Gagolewski, Marek/C-3575-2012 Gagolewski, Marek/0000-0003-0637-6028 National Science Center, PolandNational Science Centre, Poland [2014/13/D/HS4/01700]; European UnionEuropean Commission [UDA-POKL.04.01.01-00-051/10-00]; Research and Development for Innovations Operational Program - Structural Funds of Europe Union [CZ.1.05/1.1.00/02.0070]; [APVV-0073-10] The contribution of A, Cena and M. Gagolewski was partially supported by the National Science Center, Poland, research project 2014/13/D/HS4/01700.; Anna Cena would like to acknowledge the support by the European Union from resources of the European Social Fund, Project PO IQ "Information technologies: Research and their interdisciplinary applications", agreement UDA-POKL.04.01.01-00-051/10-00 via the Interdisciplinary PhD Studies Program.; The contribution of R. Mesiar has been done in connection with project APVV-0073-10 and also with IT4Innovations Center of Excellence, reg. no. CZ.1.05/1.1.00/02.0070 supported by Research and Development for Innovations Operational Program financed by Structural Funds of Europe Union and from the means of state budget of the Czech Republic. 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Informetr. APR 2015 9 2 273 284 10.1016/j.joi.2015.02.005 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CE2JA WOS:000351640700004 2021-10-14 J Fiala, D; Subelj, L; Zitnik, S; Bajec, M Fiala, Dalibor; Subelj, Lovro; Zitnik, Slavko; Bajec, Marko Do PageRank-based author rankings outperform simple citation counts? JOURNAL OF INFORMETRICS English Article PageRank; Scholars; Citations; Rankings; Importance INSTITUTIONS; LIBRARY The basic indicators of a researcher's productivity and impact are still the number of publications and their citation counts. These metrics are clear, straightforward, and easy to obtain. When a ranking of scholars is needed, for instance in grant, award, or promotion procedures, their use is the fastest and cheapest way of prioritizing some scientists over others. However, due to their nature, there is a danger of oversimplifying scientific achievements. Therefore, many other indicators have been proposed including the usage of the PageRank algorithm known for the ranking of webpages and its modifications suited to citation networks. Nevertheless, this recursive method is computationally expensive and even if it has the advantage of favouring prestige over popularity, its application should be well justified, particularly when compared to the standard citation counts. In this study, we analyze three large datasets of computer science papers in the categories of artificial intelligence, software engineering, and theory and methods and apply 12 different ranking methods to the citation networks of authors. We compare the resulting rankings with selfcompiled lists of outstanding researchers selected as frequent editorial board members of prestigious journals in the field and conclude that there is no evidence of PageRank-based methods outperforming simple citation counts. (c) 2015 Elsevier Ltd. All rights reserved. [Fiala, Dalibor] Univ W Bohemia, Dept Comp Sci & Engn, Plzen 30614, Czech Republic; [Subelj, Lovro; Zitnik, Slavko; Bajec, Marko] Univ Ljubljana, Fac Comp & Informat Sci, Ljubljana 1000, Slovenia Fiala, D (corresponding author), Univ W Bohemia, Dept Comp Sci & Engn, Univ 8, Plzen 30614, Czech Republic. dalfia@kiv.zcu.cz; lovro.subelj@fri.uni-lj.si; slavko.zitnik@fri.uni-lj.si; marko.bajec@fri.uni-lj.si Subelj, Lovro/V-9106-2018; Fiala, Dalibor/C-8690-2012 Subelj, Lovro/0000-0002-4161-2260; Fiala, Dalibor/0000-0002-2528-771X European Regional Development Fund (ERDF), project "NTIS - New Technologies for Information Society", European Centre of Excellence [CZ.1.05/1.1.00/02.0090]; Ministry of Education of the Czech RepublicMinistry of Education, Youth & Sports - Czech Republic [MSMT MOBILITY 7AMB14SK090]; Slovenian Research Agency ProgramSlovenian Research Agency - Slovenia [P2-0359]; Slovenian Ministry of Education, Science and Sport Grant [430-168/2013/91]; European Union, European Social FundEuropean Social Fund (ESF) Thanks are due to Thomson Reuters for providing us with the data. For D. Fiala, this work was supported by the European Regional Development Fund (ERDF), project "NTIS - New Technologies for Information Society", European Centre of Excellence, CZ.1.05/1.1.00/02.0090 and in part by the Ministry of Education of the Czech Republic under grant MSMT MOBILITY 7AMB14SK090. For L. Subelj, S. Zitnik, and M. Bajec, this work was supported in part by the Slovenian Research Agency Program No. P2-0359, by the Slovenian Ministry of Education, Science and Sport Grant No. 430-168/2013/91, and by the European Union, European Social Fund. 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APR 2015 9 2 334 348 10.1016/j.joi.2015.02.008 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CE2JA WOS:000351640700007 Green Submitted 2021-10-14 J van den Besselaar, P; Bornmann, L; Leydesdorff, L van den Besselaar, Peter; Bornmann, Lutz; Leydesdorff, Loet Untitled JOURNAL OF INFORMETRICS English Letter SELECTION Leydesdorff, Loet/E-2903-2010; van den Besselaar, Peter A A/E-5938-2013; Bornmann, Lutz/A-3926-2008 Leydesdorff, Loet/0000-0002-7835-3098; van den Besselaar, Peter A A/0000-0002-8304-8565; Bornmann, Lutz/0000-0003-0810-7091 Bornmann L, 2010, J INFORMETR, V4, P211, DOI 10.1016/j.joi.2009.10.004; Bornmann L, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003480; van den Besselaar P., INVESTIGATING THE QU; van den Besselaar P., 2013, P 18 STI BERL, P385; van den Besselaar P., 2007, PAST PERFORMANCE AS; van den Besselaar P, 2009, RES EVALUAT, V18, P273, DOI 10.3152/095820209X475360 6 2 2 0 11 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. OCT 2014 8 4 801 801 10.1016/j.joi.2014.07.008 1 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AU3QB WOS:000345527400001 2021-10-14 J Bongioanni, I; Daraio, C; Ruocco, G Bongioanni, Irene; Daraio, Cinzia; Ruocco, Giancarlo A quantitative measure to compare the disciplinary profiles of research systems and their evolution over time JOURNAL OF INFORMETRICS English Article Diversity/similarity; Disciplinary profiles; Spin glasses; Overlap; Overlap distribution; European science SCIENCE By modeling research systems as complex systems we generalize similarity measures used in the literature during the last two decades. We propose to use the mathematical tools developed within the spin-glasses literature to evaluate similarity within systems and between systems in a unified manner. Our measure is based on the 'overlap' of disciplinary profiles of a set of research systems and can readily be integrated in the framework of traditional bibliometric profile analysis. The investigation of the distribution of the overlaps provides useful insights on the dynamics of the general system, that is whether it converges toward a unique disciplinary structure or to a differentiated pattern. We illustrate the usefulness of the approach by investigating the dynamics of disciplinary profiles of European countries from 1996 to 2011. We analyze several bibliometric indicators (including publications and citations) of European countries in the 27 Scopus subject categories. We compare the disciplinary profiles of European countries (i) among them; (ii) with respect to the European standard; and (iii) to the World reference. We find that there is a convergence toward a unique European disciplinary profile of the scientific production even if large differences in the scientific profiles still remain. The investigation of the dynamics by year shows that developing countries are converging toward the European model while some developed countries are departing from it. (C) 2014 Elsevier Ltd. All rights reserved. [Bongioanni, Irene; Ruocco, Giancarlo] Univ Roma La Sapienza, Dept Phys, I-00185 Rome, Italy; [Daraio, Cinzia] Univ Roma La Sapienza, Dept Comp Control & Management Engn Antonio Ruber, I-00185 Rome, Italy; [Ruocco, Giancarlo] Univ Roma La Sapienza, Ctr Life NanoSci LaSapienza, IIT, I-00185 Rome, Italy Daraio, C (corresponding author), Univ Roma La Sapienza, Dept Comp Control & Management Engn Antonio Ruber, Via Ariosto 25, I-00185 Rome, Italy. daraio@dis.uniroma1.it Ruocco, Giancarlo/A-6245-2010 Ruocco, Giancarlo/0000-0002-2762-9533; Bongioanni, Irene/0000-0002-2971-8580 Almeida JAS, 2009, J INFORMETR, V3, P134, DOI 10.1016/j.joi.2009.01.001; Bongioanni I, 2013, PRO INT CONF SCI INF, P1900; Castellani T, 2005, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2005/05/P05012; Contucci P., 2012, PERSPECTIVES ON SPIN; Egghe L., 1990, INTRODUCTION TO INFO; Glanzel W, 2000, SCIENTOMETRICS, V48, P121, DOI 10.1023/A:1005640604267; Glanzel W, 2008, SCIENTOMETRICS, V74, P71, DOI 10.1007/s11192-008-0104-5; HOLLAND JH, 1992, DAEDALUS, V121, P17; King DA, 2004, NATURE, V430, P311, DOI 10.1038/430311a; Liu YX, 2014, J ASSOC INF SCI TECH, V65, P281, DOI 10.1002/asi.22978; MEZARD M, 1984, J PHYS-PARIS, V45, P843, DOI 10.1051/jphys:01984004505084300; MEZARD M, 1984, PHYS REV LETT, V52, P1156, DOI 10.1103/PhysRevLett.52.1156; Mezard M, 1987, SPIN GLASS THEORY AN; PARISI G, 1983, PHYS REV LETT, V50, P1946, DOI 10.1103/PhysRevLett.50.1946; Potocnik J., 2011, THE SCIENCE OF SCIEN, P349; Scharnhorst A., 2012, MODELS OF SCIENCE DY; Stein D. 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Y.; Liu, John S.; Zhou, Zhili Knowledge diffusion path analysis of data quality literature: A main path analysis JOURNAL OF INFORMETRICS English Article Data quality; Main path analysis; Knowledge diffusion; Citation analysis; Social network analysis; Big data INFORMATION; FRAMEWORK; INDEX; TRAJECTORIES; METHODOLOGY; ATTRIBUTES; MANAGEMENT; NETWORKS; CONTEXT; SYSTEMS This study presents a unique approach in investigating the knowledge diffusion structure for the field of data quality through an analysis of the main paths. We study a dataset of 1880 papers to explore the knowledge diffusion path, using citation data to build the citation network. The main paths are then investigated and visualized via social network analysis. This paper takes three different main path analyses, namely local, global, and key-route, to depict the knowledge diffusion path and additionally implements the g-index and h-index to evaluate the most important journals and researchers in the data quality domain. 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JUL 2014 8 3 594 605 10.1016/j.joi.2014.05.001 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AO5IE WOS:000341376700013 2021-10-14 J Egghe, L Egghe, L. Impact coverage of the success-index JOURNAL OF INFORMETRICS English Article Success-index; Hirsch-index; h-Index; g-Index; Wu-index; Kosmulski-index HIRSCH-INDEX; INFORMETRIC MODEL We show mathematically that the success-index can be any of the following impact indices, dependent on the value of the threshold used in the definition of the success-index: Hirsch-index (h-index), g-index, generalized Wu- and Kosmulski-indices, the average. (C) 2014 Elsevier Ltd. All rights reserved. [Egghe, L.] Univ Hasselt UHasselt, B-3590 Diepenbeek, Belgium; [Egghe, L.] UA, IBW, B-2000 Antwerp, Belgium Egghe, L (corresponding author), Univ Hasselt UHasselt, Campus Diepenbeek, B-3590 Diepenbeek, Belgium. leo.egghe@uhasselt.be Egghe L, 2013, J INFORMETR, V7, P388, DOI 10.1016/j.joi.2013.01.005; Egghe L, 2011, J INFORMETR, V5, P439, DOI 10.1016/j.joi.2011.03.006; Egghe L, 2006, SCIENTOMETRICS, V69, P121, DOI 10.1007/s11192-006-0143-8; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Egghe L, 2013, PRO INT CONF SCI INF, P1159; Egghe L, 2012, J AM SOC INF SCI TEC, V63, P1048, DOI 10.1002/asi.22617; Egghe L, 2012, SCIENTOMETRICS, V91, P295, DOI 10.1007/s11192-011-0539-y; Franceschini F, 2013, J INFORMETR, V7, P109, DOI 10.1016/j.joi.2012.09.008; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Jin BH, 2007, CHINESE SCI BULL, V52, P855, DOI 10.1007/s11434-007-0145-9; Kosmulski M., 2006, ISSI NEWSLETTER, V2, P4; Waltman L, 2012, J AM SOC INF SCI TEC, V63, P406, DOI 10.1002/asi.21678; Wu Q, 2010, J AM SOC INF SCI TEC, V61, P609, DOI 10.1002/asi.21276 13 6 6 1 28 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. APR 2014 8 2 384 389 10.1016/j.joi.2014.01.005 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AG7PK WOS:000335609900009 2021-10-14 J Karpov, A Karpov, Alexander Equal weights coauthorship sharing and the Shapley value are equivalent JOURNAL OF INFORMETRICS English Article Coauthorship; Collaboration; Shapley value MULTIPLE AUTHORSHIP; CREDIT; QUALITY The publication credit allocation problem is one of the fundamental problems in bibliometrics. There are two solutions which do not use any additional information: equal weights measure and the Shapley value. The paper justifies the equal weights measure by showing equivalence with the Shapley value approach for sharing co-authors performance in specific games. (C) 2013 Elsevier Ltd. All rights reserved. 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Informetr. JAN 2014 8 1 71 76 10.1016/j.joi.2013.10.008 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AB4PH WOS:000331771900007 2021-10-14 J Yu, T; Yu, G; Wang, MY Yu, Tian; Yu, Guang; Wang, Ming-Yang Classification method for detecting coercive self-citation in journals JOURNAL OF INFORMETRICS English Article Scientific journal; Coercive self-citation; Classification IMPACT FACTOR Journal self-citations strongly affect journal evaluation indicators (such as impact factors) at the mesa- and micro-levels, and therefore they are often increased artificially to inflate the evaluation indicators in journal evaluation systems. This coercive self-citation is a form of scientific misconduct that severely undermines the objective authenticity of these indicators. In this study, we developed the feature space for describing journal citation behavior and conducted feature selection by combining GA-Wrapper with RelifF. We also constructed a journal classification model using the logistic regression method to identify normal and abnormal journals. We evaluated the performance of the classification model using journals in three subject areas (BIOLOGY, MATHEMATICS and CHEMISTRY, APPLIED) during 2002-2011 as the test samples and good results were achieved in our experiments. Thus, we developed an effective method for the accurate identification of coercive self-citations. (C) 2013 Elsevier Ltd. All rights reserved. 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JAN 2014 8 1 123 135 10.1016/j.joi.2013.11.001 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AB4PH WOS:000331771900012 2021-10-14 J Park, HW; Leydesdorff, L Park, Han Woo; Leydesdorff, Loet Decomposing social and semantic networks in emerging "big data" research JOURNAL OF INFORMETRICS English Article Data science; Big data; International co-authorship; Social network analysis; SCI; Semantic network CENTRALITY; SCIENCE This paper examines the structural patterns of networks of internationally co-authored SCI papers in the domain of research driven by big data and provides an empirical analysis of semantic patterns of paper titles. The results based on data collected from the DVD version of the 2011 SCI database identify the U.S. as the most central country, followed by the U.K., Germany, France, Italy, Australia, the Netherlands, Canada, and Spain, in that order. However, some countries (e.g., Portugal) with low degree centrality occupied relatively central positions in terms of betweenness centrality. The results of the semantic network analysis suggest that internationally co-authored papers tend to focus on primary technologies, particularly in terms of programming and related database issues. The results show that a combination of words and locations can provide a richer representation of an emerging field of science than the sum of the two separate representations. (C) 2013 Elsevier Ltd. All rights reserved. [Park, Han Woo] YeungNam Univ, Dept Media & Commun, Gyongsan 712749, Gyeongsangbuk D, South Korea; [Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands Park, HW (corresponding author), YeungNam Univ, Dept Media & Commun, 214-1 Dae Dong, Gyongsan 712749, Gyeongsangbuk D, South Korea. hanpark@ynu.ac.kr; loet@leydesdorff.net Leydesdorff, Loet/E-2903-2010; Park, Han Woo/F-4051-2011 Leydesdorff, Loet/0000-0002-7835-3098; Park, Han Woo/0000-0002-1378-2473 Abbasi A, 2012, INFORM PROCESS MANAG, V48, P671, DOI 10.1016/j.ipm.2011.09.001; Anderson C., 2008, WIRED; [Anonymous], 2012, VERY SHORT HIST DATA; Arzberger P, 2004, SCIENCE, V303, P1777, DOI 10.1126/science.1095958; Arzberger P., 2006, DATA SCI J, V3, P135, DOI DOI 10.2481/DSJ.3.135; Bonacich P, 2004, SOC NETWORKS, V26, P285, DOI 10.1016/j.socnet.2004.06.002; Borgatti S., 2012, NETDRAW NETWORK VISU; Borgatti S.P., 2002, UCINET WINDOWS SOFTW; BRAAM RR, 1991, J AM SOC INFORM SCI, V42, P233, DOI 10.1002/(SICI)1097-4571(199105)42:4<233::AID-ASI1>3.0.CO;2-I; Burt R.S., 1992, STRUCTURAL HOLES SOC, DOI 10.4159/9780674029095; Cho S.E., 2012, J CONT E ASIA, V11, P1, DOI [10.17477/jcea.2012.11.1.001, DOI 10.17477/JCEA.2012.11.1.001]; FREEMAN LC, 1979, SOC NETWORKS, V1, P215, DOI 10.1016/0378-8733(78)90021-7; FREEMAN LC, 1991, SOC NETWORKS, V13, P141, DOI 10.1016/0378-8733(91)90017-N; Graham M, 2012, GUARDIAN; Halevi G, 2012, RES TRENDS; Hanneman R.A., 2005, INTRO SOCIAL NETWORK; Harris R., 2012, RES TRENDS, V30, P11; Hey T, 2009, 4 PARADIGM DATA INTE; Jankowski NW, 2009, ROUTL ADV RES METHOD, V1, P3; KAMADA T, 1989, INFORM PROCESS LETT, V31, P7, DOI 10.1016/0020-0190(89)90102-6; King G, 2011, SCIENCE, V331, P719, DOI 10.1126/science.1197872; Kwon KS, 2012, SCIENTOMETRICS, V90, P163, DOI 10.1007/s11192-011-0512-9; Leydesdorff L., 2010, ANN LIB INFORM STUDI, V57, P248; Leydesdorff L., 2010, DEBORDEMENTS MELANGE, P283; Leydesdorff L, 2007, J AM SOC INF SCI TEC, V58, P1303, DOI 10.1002/asi.20614; Leydesdorff L, 2013, PROF INFORM, V22, P87, DOI 10.3145/epi.2013.ene.12; Leydesdorff L, 2012, SCIENTOMETRICS, V92, P781, DOI 10.1007/s11192-012-0636-6; Loukides M., 2012, WHAT IS DATA SCI FUT; Lucio-Arias D, 2009, J INFORMETR, V3, P261, DOI 10.1016/j.joi.2009.03.003; McKinesy Global Institute, 2011, BIG DAT NEXT FRONT I; Miller HE, 2013, INFORM RES, V18; Naur P., 1974, CONCISE SURVEY COMPU; O'Reilly Radar Team, 2012, PLANN BIG DAT CIOS H; OECD, 2012, OECD TECHN FOR FOR 2; Otte E, 2002, J INF SCI, V28, P441, DOI 10.1177/016555150202800601; Park HW, 2008, SCIENTOMETRICS, V75, P439, DOI 10.1007/s11192-007-1862-1; Park HW, 2012, QUAL QUANT, V46, P679, DOI 10.1007/s11135-010-9421-x; Park HW, 2010, RES POLICY, V39, P640, DOI 10.1016/j.respol.2010.02.009; Rogers Simon, 2011, DATA JOURNALISM GUAR; Rousseau R., 2013, COMMUNICATION; Rousseau R., 2012, CHINESE J LIB INFORM, V5, P12, DOI DOI 10.1007/S13398-014-0173-7.2; Savage M, 2007, SOCIOLOGY, V41, P885, DOI 10.1177/0038038507080443; Science Staff, 2011, SCIENCE, V331, P692, DOI DOI 10.1126/SCIENCE.331.6018.692; Shapiro MA, 2012, SCIENTOMETRICS, V90, P271, DOI 10.1007/s11192-011-0498-3; Snijders C, 2012, INT J INTERNET SCI, V7, P1; Wagner C. S., 2013, POLICY IMPLICA UNPUB; Wagner CS, 2008, NEW INVISIBLE COLLEGE: SCIENCE FOR DEVELOPMENT, P1; Wasserman S., 1994, SOCIAL NETWORK ANAL 48 55 55 1 94 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. 2013 7 3 756 765 10.1016/j.joi.2013.05.004 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 210UH WOS:000323859700021 2021-10-14 J Petersen, AM; Succi, S Petersen, Alexander M.; Succi, Sauro The Z-index: A geometric representation of productivity and impact which accounts for information in the entire rank-citation profile JOURNAL OF INFORMETRICS English Article Science of science; Citation impact; Rank stability; h-Index H-INDEX; DISTRIBUTIONS; UNIVERSALITY; INDICATORS We present a simple generalization of Hirsch's h-index, Z = root h(2) + C/root 5, where C is the total number of citations. Z is aimed at correcting the potentially excessive penalty made by h on a scientist's highly cited papers, because for the majority of scientists analyzed, we find the excess citation fraction (C - h(2))/C to be distributed closely around the value 0.75, meaning that 75% of the author's impact is neglected. Additionally, Z is less sensitive to local changes in a scientist's citation profile, namely perturbations which increase h while only marginally affecting C. Using real career data for 476 physicists careers and 488 biologist careers, we analyze both the distribution of Z and the rank stability of Z with respect to the Hirsch index h and the Egghe index g. We analyze careers distributed across a wide range of total impact, including top-cited physicists and biologists for benchmark comparison. In practice, the Z-index requires the same information needed to calculate h and could be effortlessly incorporated within career profile databases, such as Google Scholar and ResearcherID. Because Z incorporates information from the entire publication profile while being more robust than h and g to local perturbations, we argue that Z is better suited for ranking comparisons in academic decision-making scenarios comprising a large number of scientists. (C) 2013 Elsevier Ltd. All rights reserved. [Petersen, Alexander M.] IMT Lucca Inst Adv Studies, I-55100 Lucca, Italy; [Succi, Sauro] Ist Applicaz Calcolo CNR, Rome, Italy; [Succi, Sauro] Freiburg Inst Adv Studies, D-79104 Freiburg, Germany Petersen, AM (corresponding author), IMT Lucca Inst Adv Studies, I-55100 Lucca, Italy. petersen.xander@gmail.com Succi, Sauro/E-4606-2015; Yamamoto, Hisashi/G-6344-2011; Petersen, Alexander/D-9243-2012 Succi, Sauro/0000-0002-3070-3079; Petersen, Alexander/0000-0002-0955-3483 ANVUR, 2012, NORM IND ET ACC; Batista PD, 2006, SCIENTOMETRICS, V68, P179, DOI 10.1007/s11192-006-0090-4; Blumm N, 2012, PHYS REV LETT, V109, DOI 10.1103/PhysRevLett.109.128701; Bornmann L., 2008, J AM SOC INF SCI TEC, V59, P001; Bornmann L, 2007, J AM SOC INF SCI TEC, V58, P1381, DOI 10.1002/asi.20609; Bornmann L, 2011, J INFORMETR, V5, P346, DOI 10.1016/j.joi.2011.01.006; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Franzoni C, 2011, SCIENCE, V333, P702, DOI 10.1126/science.1197286; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Iglesias JE, 2007, SCIENTOMETRICS, V73, P303, DOI 10.1007/s11192-007-1805-x; KULLBACK S, 1951, ANN MATH STAT, V22, P79, DOI 10.1214/aoms/1177729694; Lazer D, 2009, SCIENCE, V323, P721, DOI 10.1126/science.1167742; Martinez-Mekler G, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004791; Naumis GG, 2008, PHYSICA A, V387, P84, DOI 10.1016/j.physa.2007.08.002; Penner O., 2013, 13060114 ARXIV, P1; Penner O, 2013, PHYS TODAY, V66, P8, DOI 10.1063/PT.3.1928; Petersen AM, 2011, EUR PHYS J B, V79, P67, DOI 10.1140/epjb/e2010-10647-1; Petersen A. 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Informetr. 2013 7 4 823 832 10.1016/j.joi.2013.07.003 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 264ZV WOS:000327920400007 Green Submitted, Green Accepted 2021-10-14 J Schall, D Schall, Daniel Measuring contextual partner importance in scientific collaboration networks JOURNAL OF INFORMETRICS English Article Scientific collaboration; Hubs and authorities; Contextual importance; Personalized PageRank; Sociability Scientific collaboration commonly takes place in a global and competitive environment. Coalitions and consortia are formed among universities, companies and research institutes to apply for research grants and to perform joint projects. In such a competitive environment, individual institutes may be strategic partners or competitors. Measures to determine partner importance have practical applications such as comparison and rating of competitors, reputation evaluation or performance evaluation of companies and institutes. Many network-centric metrics exist to measure the important of individuals or companies in social and collaborative networks. Here we present a novel context-based metric to measure the importance of partners in scientific collaboration networks. Well-established graph models such as the notion of hubs and authorities provide the basis for this work and are systematically extended to a flexible, context-aware network importance measure. (C) 2013 Elsevier Ltd. All rights reserved. Siemens Corp Technol, A-1211 Vienna, Austria Schall, D (corresponding author), Siemens Corp Technol, Siemensstr 90, A-1211 Vienna, Austria. daniel.schall@siemens.com Anagnostopoulos A., 2012, P 21 INT C WORLD WID, P839, DOI DOI 10.1145/2187836.2187950; Chakrabarti S, 2007, P 16 INT C WORLD WID, P571, DOI DOI 10.1145/1242572.1242650; Deng HB, 2009, KDD-09: 15TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, P239; Ding Y, 2011, J INFORMETR, V5, P187, DOI 10.1016/j.joi.2010.10.008; Fogaras D, 2005, INTERNET MATH, V2, P333, DOI 10.1080/15427951.2005.10129104; Fu F, 2008, PHYS REV E, V78, DOI 10.1103/PhysRevE.78.016104; Guns R, 2011, SCIENTOMETRICS, V87, P133, DOI 10.1007/s11192-010-0332-3; Haveliwala T., 2003, 2 EIGENVALUE GOOGLE; Haveliwala T.H., 2002, P 11 INT C WORLD WID, DOI DOI 10.1145/511446.511513; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Jeh Glen, 2003, P 12 INT C WORLD WID, P271, DOI DOI 10.1145/775152.775191; Kleinberg JM, 1999, J ACM, V46, P604, DOI 10.1145/324133.324140; Lavrac N, 2007, IEEE T SYST MAN CY C, V37, P429, DOI 10.1109/TSMCC.2006.889531; Milojevic S, 2010, J AM SOC INF SCI TEC, V61, P1410, DOI 10.1002/asi.21331; Munisteri F., 2012, ICT STAT REPORT ANN; Newman MEJ, 2004, P NATL ACAD SCI USA, V101, P5200, DOI 10.1073/pnas.0307545100; Ng A. 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This approach identifies typical characteristics of extreme ('archetypal') values in a multivariate data set. These positive or negative contextual attributes can be allocated to each scientist under investigation. In our application, we use a sample of seven bibliometric indicators for 29,083 economists obtained from the RePEc database and identify six archetypes. These are mainly characterized by ratios of published work and citations. We discuss applications and limitations of this approach. Finally, we assign relative shares of the identified archetypes to each economist in our sample. (c) 2012 Elsevier Ltd. All rights reserved. [Seiler, Christian; Wohlrabe, Klaus] Univ Munich, Ifo Inst Econ Res, D-81679 Munich, Germany Wohlrabe, K (corresponding author), Univ Munich, Ifo Inst Econ Res, Poschingerstr 5, D-81679 Munich, Germany. seiler@ifo.de; wohlrabe@ifo.de Wohlrabe, Klaus/R-9102-2016; Seiler, Christian/B-2622-2010 Wohlrabe, Klaus/0000-0002-5651-2641; Seiler, Christian/0000-0002-0566-9702 Babu AR, 1998, SCIENTOMETRICS, V43, P309; Chan BHP, 2003, MON NOT R ASTRON SOC, V338, P790, DOI 10.1046/j.1365-8711.2003.06099.x; Costas R, 2007, J INFORMETR, V1, P193, DOI 10.1016/j.joi.2007.02.001; CUTLER A, 1994, TECHNOMETRICS, V36, P338, DOI 10.2307/1269949; Docampo D, 2011, SCIENTOMETRICS, V86, P77, DOI 10.1007/s11192-010-0280-y; Eugster M. 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Informetr. 2013 7 2 345 356 10.1016/j.joi.2012.11.013 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 136PY WOS:000318377100012 2021-10-14 J Herranz, N; Ruiz-Castillo, J Herranz, Neus; Ruiz-Castillo, Javier Sub-field normalization in the multiplicative case: Average-based citation indicators JOURNAL OF INFORMETRICS English Article Citation analysis; Web of Science categories; Journal classification; Research performance; Normalization; European paradox IMPACT; SCORES; SCALES This paper investigates the citation impact of three large geographical areas - the U.S., the European Union (EU), and the rest of the world (RW) - at different aggregation levels. The difficulty is that 42% of the 3.6 million articles in our Thomson Scientific dataset are assigned to several sub-fields among a set of 219 Web of Science categories. We follow a multiplicative approach in which every article is wholly counted as many times as it appears at each aggregation level. We compute the crown indicator and the Mean Normalized Citation Score (MNCS) using for the first time sub-field normalization procedures for the multiplicative case. We also compute a third indicator that does not correct for differences in citation practices across sub-fields. It is found that: (1) No geographical area is systematically favored (or penalized) by any of the two normalized indicators. (2) According to the MNCS, only in six out of 80 disciplines - but in none of 20 fields - is the EU ahead of the U.S. In contrast, the normalized U.S./EU gap is greater than 20% in 44 disciplines, 13 fields, and for all sciences as a whole. The dominance of the EU over the RW is even greater. (3) The U. S. appears to devote relatively more - and the RW less - publication effort to sub-fields with a high mean citation rate, which explains why the U.S./EU and EU/RW gaps for all sciences as a whole increase by 4.5 and 5.6 percentage points in the un-normalized case. The results with a fractional approach are very similar indeed. (C) 2012 Elsevier Ltd. All rights reserved. [Ruiz-Castillo, Javier] Univ Carlos III Madrid, Dept Econ, E-28903 Getafe, Spain; [Herranz, Neus] Univ Illinois, Dept Econ, Urbana, IL 61801 USA Ruiz-Castillo, J (corresponding author), Univ Carlos III Madrid, Dept Econ, E-28903 Getafe, Spain. jrc@eco.uc3m.es Ruiz-Castillo, Javier/O-8180-2019 Aksnes DW, 2012, J INFORMETR, V6, P36, DOI 10.1016/j.joi.2011.08.002; Albarran P, 2011, RES EVALUAT, V20, P325, DOI 10.3152/095820211X13164389670310; Albarran P, 2011, SCIENTOMETRICS, V88, P385, DOI 10.1007/s11192-011-0407-9; Albarran P, 2011, J INFORMETR, V5, P48, DOI 10.1016/j.joi.2010.08.002; Albarran P, 2011, J AM SOC INF SCI TEC, V62, P40, DOI 10.1002/asi.21448; Albarran P, 2011, J INFORMETR, V5, P122, DOI 10.1016/j.joi.2010.10.001; Albarran P, 2010, SCIENTOMETRICS, V85, P329, DOI 10.1007/s11192-010-0223-7; Anderson J., 1988, SCI PUBL POLICY, V15, P153; De Bruin R. 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OCT 2012 6 4 543 556 10.1016/j.joi.2012.02.006 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 003AY WOS:000308581700012 Green Submitted 2021-10-14 J Leydesdorff, L Leydesdorff, Loet McCall's area transformation versus the integrated impact indicator (I3) JOURNAL OF INFORMETRICS English Letter Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands Leydesdorff, L (corresponding author), Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, Kloveniersburgwal 48, NL-1012 CX Amsterdam, Netherlands. loet@leydesdorff.net Leydesdorff, Loet/E-2903-2010 Leydesdorff, Loet/0000-0002-7835-3098 Bornmann L, 2011, J INFORMETR, V5, P228, DOI 10.1016/j.joi.2010.10.009; KRUS DJ, 1977, EDUC PSYCHOL MEAS, V37, P257, DOI 10.1177/001316447703700134; Leydesdorff L., J AM SOC INFORM SCI; Leydesdorff L, 2011, ATL C SCI INN POL SE; Leydesdorff L, 2011, J AM SOC INF SCI TEC, V62, P2133, DOI 10.1002/asi.21609; McCall WA, 1922, MEASURE ED; Moed HF, 2010, J INFORMETR, V4, P265, DOI 10.1016/j.joi.2010.01.002; Mutz R, 2012, J INFORMETR, V6, P169, DOI 10.1016/j.joi.2011.12.006; Rubin D. B., 1977, J EDUC STATIST, V2, P1, DOI [DOI 10.2307/1164933, DOI 10.3102/10769986002001001] 9 0 0 0 22 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 J INFORMETR J. Informetr. OCT 2012 6 4 513 514 10.1016/j.joi.2012.03.002 2 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 003AY WOS:000308581700008 Green Submitted 2021-10-14 J Abramo, G; Cicero, T; D'Angelo, CA Abramo, Giovanni; Cicero, Tindaro; D'Angelo, Ciriaco Andrea A sensitivity analysis of researchers' productivity rankings to the time of citation observation JOURNAL OF INFORMETRICS English Article Research evaluation; Bibliometrics; Citation window; Individual productivity; Sensitivity analysis BIBLIOMETRIC INDICATORS In this work we investigate the sensitivity of individual researchers' productivity rankings to the time of citation observation. The analysis is based on observation of research products for the 2001-2003 triennium for all research staff of Italian universities in the hard sciences, with the year of citation observation varying from 2004 to 2008. The 2008 rankings list is assumed the most accurate, as citations have had the longest time to accumulate and thus represent the best possible proxy of impact. By comparing the rankings lists from each year against the 2008 benchmark we provide policy-makers and research organization managers a measure of trade-off between timeliness of evaluation execution and accuracy of performance rankings. The results show that with variation in the evaluation citation window there are variable rates of inaccuracy across the disciplines of researchers. The inaccuracy results negligible for Physics, Biology and Medicine. (C) 2011 Elsevier Ltd. All rights reserved. [Abramo, Giovanni; Cicero, Tindaro; D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Dept Management, Sch Engn, Lab Studies Res & Technol Transfer, Rome, Italy; [Abramo, Giovanni] CNR, IASI, Inst Syst Anal & Comp Sci, I-00185 Rome, Italy Abramo, G (corresponding author), Univ Roma Tor Vergata, Dipartimento Ingn Impresa, Via Politecn 1, I-00133 Rome, Italy. giovanni.abramo@uniroma2.it Cicero, Tindaro/I-8129-2019; D'Angelo, Ciriaco Andrea/J-8162-2012; Abramo, Giovanni/AAC-9098-2020; cicero, tindaro/F-6404-2019 Cicero, Tindaro/0000-0003-1926-8317; D'Angelo, Ciriaco Andrea/0000-0002-6977-6611; cicero, tindaro/0000-0003-1926-8317; abramo, giovanni/0000-0003-0731-3635 Abramo G., 2011, SENSITIVITY ANAL RES; Abramo G, 2011, J INFORMETR, V5, P659, DOI 10.1016/j.joi.2011.06.004; Abramo G, 2011, J INFORMETR, V5, P618, DOI 10.1016/j.joi.2011.06.001; Abramo G, 2011, SCIENTOMETRICS, V87, P499, DOI 10.1007/s11192-011-0352-7; Abramo G, 2011, SCIENTOMETRICS, V86, P347, DOI 10.1007/s11192-010-0297-2; Abramo G, 2009, RES POLICY, V38, P206, DOI 10.1016/j.respol.2008.11.001; Aksnes DW, 2004, RES EVALUAT, V13, P33, DOI 10.3152/147154404781776563; Burrell QL, 2002, SCIENTOMETRICS, V55, P273, DOI 10.1023/A:1019671808921; Burrell QL, 2001, SCIENTOMETRICS, V52, P3, DOI 10.1023/A:1012751509975; D'Angelo CA, 2011, J AM SOC INF SCI TEC, V62, P257, DOI 10.1002/asi.21460; Franceschet M, 2011, J INFORMETR, V5, P275, DOI 10.1016/j.joi.2010.12.002; Glanzel W, 2004, SCIENTOMETRICS, V60, P511, DOI 10.1023/B:SCIE.0000034391.06240.2a; HORROBIN DF, 1990, JAMA-J AM MED ASSOC, V263, P1438, DOI 10.1001/jama.263.10.1438; Lundberg J, 2007, J INFORMETR, V1, P145, DOI 10.1016/j.joi.2006.09.007; MacRoberts MH, 1996, SCIENTOMETRICS, V36, P435, DOI 10.1007/BF02129604; Moed HF, 2002, NATURE, V415, P731, DOI 10.1038/415731a; MOED HF, 1985, RES POLICY, V14, P131, DOI 10.1016/0048-7333(85)90012-5; Moxham H., 1992, SCI TECHNOLOGY POLIC, V5, P7; Norris M, 2003, J DOC, V59, P709, DOI 10.1108/00220410310698734; Oppenheim C, 1997, J DOC, V53, P477, DOI 10.1108/EUM0000000007207; Pendlebury DA, 2009, ARCH IMMUNOL THER EX, V57, P1, DOI 10.1007/s00005-009-0008-y; Rehn C, 2007, BIBLIOMETRIC INDICAT; Rinia EJ, 1998, RES POLICY, V27, P95, DOI 10.1016/S0048-7333(98)00026-2; Van Raan AFJ, 2005, SCIENTOMETRICS, V62, P133, DOI 10.1007/s11192-005-0008-6 24 17 17 1 32 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. APR 2012 6 2 192 201 10.1016/j.joi.2011.12.003 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 906RF WOS:000301364100004 Green Submitted 2021-10-14 J Kim, H; Yoon, JW; Crowcroft, J Kim, Hyoungshick; Yoon, Ji Won; Crowcroft, Jon Network analysis of temporal trends in scholarly research productivity JOURNAL OF INFORMETRICS English Article Publication analysis; Research trend; Comparative analysis; Network analysis; Security research; Korean research SCIENCE; MODELS We propose a method to identify the journals or proceedings that are most highly esteemed by a research group over some time frame. Using open publication databases, we identify the experts in the community, and analyse their publication pattern, and then use this as a guideline for evaluating scientific outputs of other groups of researchers publishing in the same domain. To illustrate the practicality of our method, we analyse the scientific output of Korean researchers in the security subject domain from 2004 to 2009, and comparing this groups' output with that of well-known researchers. Our empirical analysis demonstrates that there is a persistent gap between these two research groups' publications impact over this period, although the absolute number of journal publications greatly increased over recent years. (C) 2011 Elsevier Ltd. All rights reserved. [Kim, Hyoungshick; Crowcroft, Jon] Univ Cambridge, Comp Lab, Cambridge CB2 3QG, England; [Yoon, Ji Won] Trinity Coll Dublin, Dept Stat, Dublin 2, Ireland Yoon, JW (corresponding author), Univ Cambridge, Comp Lab, Pembroke St, Cambridge CB2 3QG, England. hk331@cl.cam.ac.uk; yoonj@tcd.ie; Jon.Crowcroft@cl.cam.ac.uk Crowcroft, Jon/0000-0002-7013-0121 Almeida JAS, 2009, J INFORMETR, V3, P134, DOI 10.1016/j.joi.2009.01.001; [Anonymous], 2010, EXCELLENCE RES AUSTR; [Anonymous], 2007, SECURITY C RANKING; Biryukov M, 2010, LECT NOTES COMPUT SC, V6273, P228, DOI 10.1007/978-3-642-15464-5_24; Brandes U, 2001, J MATH SOCIOL, V25, P163, DOI 10.1080/0022250X.2001.9990249; Brin S, 1998, COMPUT NETWORKS ISDN, V30, P107, DOI 10.1016/S0169-7552(98)00110-X; Fortnow L, 2009, COMMUN ACM, V52, P33, DOI 10.1145/1536616.1536631; Guillaume JL, 2005, LECT NOTES COMPUT SC, V3405, P127; HAGE P, 1995, SOC NETWORKS, V17, P57, DOI 10.1016/0378-8733(94)00248-9; Kandylas V, 2008, KNOWL INF SYST, V17, P335, DOI 10.1007/s10115-008-0135-5; Lee WH, 2008, SCIENTOMETRICS, V76, P503, DOI 10.1007/s11192-007-1898-2; Ley M., 2002, String Processing and Information Retrieval. 9th International Symposium, SPIRE 2002. 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Informetr. JAN 2012 6 1 97 110 10.1016/j.joi.2011.05.006 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 865QL WOS:000298325300013 2021-10-14 J Bornmann, L; Waltman, L Bornmann, Lutz; Waltman, Ludo The detection of "hot regions" in the geography of science-A visualization approach by using density maps JOURNAL OF INFORMETRICS English Article Density map; Geographic information system; Geographical mapping; Highly cited paper; Spatial scientometrics BIBLIOMETRIC INDICATORS; NETWORKS; CITIES Spatial scientometrics has attracted a lot of attention in the very recent past. The visualization methods (density maps) presented in this paper allow for an analysis revealing regions of excellence around the world using computer programs that are freely available. Based on Scopus and Web of Science data, field-specific and field-overlapping scientific excellence can be identified in broader regions (worldwide or for a specific continent) where high quality papers (highly cited papers or papers published in Nature or Science) were published. We used a geographic information system to produce our density maps. We also briefly discuss the use of Google Earth. (C) 2011 Elsevier Ltd. All rights reserved. [Bornmann, Lutz] Max Planck Gesell, D-80539 Munich, Germany; [Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands Bornmann, L (corresponding author), Max Planck Gesell, Hofgartenstr 8, D-80539 Munich, Germany. bornmann@gv.mpg.de Waltman, Ludo/B-5561-2008; Bornmann, Lutz/A-3926-2008 Waltman, Ludo/0000-0001-8249-1752; Bornmann, Lutz/0000-0003-0810-7091 Bornmann L., 2008, ETHICS SCI ENV POLIT, V8, P93, DOI DOI 10.3354/ESEP00084; Bornmann L., MAP EXCELLENCE UNPUB; Bornmann L, 2008, J DOC, V64, P45, DOI 10.1108/00220410810844150; Bornmann L, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011344; Boyack K. W., 2007, ACM SIGGRAPH 2007 SK; Frenken K, 2009, J INFORMETR, V3, P222, DOI 10.1016/j.joi.2009.03.005; Leydesdorff L, 2010, J AM SOC INF SCI TEC, V61, P1622, DOI 10.1002/asi.21347; Matthiessen CW, 2010, URBAN STUD, V47, P1879, DOI 10.1177/0042098010372683; Matthiessen CW, 2002, URBAN STUD, V39, P903, DOI 10.1080/00420980220128372; National Science Board, 2010, 1001 NSB NAT SCI FDN; Schneider, 2009, CELEBRATING SCHOLARL, P25; Scott DW, 1992, MULTIVARIATE DENSITY; Shi X, 2010, INT J GEOGR INF SCI, V24, P643, DOI 10.1080/13658810902950625; Van Eck NJ, 2007, INT J UNCERTAIN FUZZ, V15, P625, DOI 10.1142/S0218488507004911; van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3; Van Noorden R, 2010, NATURE, V466, P672, DOI [10.1038/466672a, 10.1038/467906a]; Waaijer CJF, 2011, SCIENTOMETRICS, V86, P99, DOI 10.1007/s11192-010-0205-9; Waltman L., 2011, GLOBALISATION SCI KI 18 43 45 1 54 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. OCT 2011 5 4 547 553 10.1016/j.joi.2011.04.006 7 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 841PI WOS:000296524200006 Green Submitted 2021-10-14 J Waltman, L; Tijssen, RJW; van Eck, NJ Waltman, Ludo; Tijssen, Robert J. W.; van Eck, Nees Jan Globalisation of science in kilometres JOURNAL OF INFORMETRICS English Article Collaboration; Geocoding; Geographical distance; Globalisation RESEARCH COLLABORATION; GEOGRAPHY; PATTERNS The ongoing globalisation of science has undisputedly a major impact on how and where scientific research is being conducted nowadays. Yet, the big picture remains blurred. It is largely unknown where this process is heading, and at which rate. Which countries are leading or lagging? Many of its key features are difficult if not impossible to capture in measurements and comparative statistics. Our empirical study measures the extent and growth of scientific globalisation in terms of physical distances between co-authoring researchers. Our analysis, drawing on 21 million research publications across all countries and fields of science, reveals that contemporary science has globalised at a fairly steady rate during recent decades. The average collaboration distance per publication has increased from 334 km in 1980 to 1553 km in 2009. Despite significant differences in globalisation rates across countries and fields of science, we observe a pervasive process in motion, moving towards a truly interconnected global science system. (C) 2011 Elsevier Ltd. All rights reserved. [Waltman, Ludo; Tijssen, Robert J. W.; van Eck, Nees Jan] Leiden Univ, Ctr Sci & Technol Studies CWTS, NL-2300 AX Leiden, Netherlands; [Tijssen, Robert J. W.] Univ Stellenbosch, Ctr Res Evaluat Sci & Technol CREST, ZA-7600 Stellenbosch, South Africa Waltman, L (corresponding author), Leiden Univ, Ctr Sci & Technol Studies CWTS, POB 905, NL-2300 AX Leiden, Netherlands. waltmanlr@cwts.leidenuniv.nl; tijssen@cwts.leidenuniv.nl; ecknjpvan@cwts.leidenuniv.nl van Eck, Nees Jan/B-6042-2008; Tijssen, Robert/B-2397-2009; Waltman, Ludo/B-5561-2008 van Eck, Nees Jan/0000-0001-8448-4521; Waltman, Ludo/0000-0001-8249-1752; Tijssen, Robert/0000-0001-5237-9583 Florida R., 2005, ATLANTIC MONTHLY, V296, P48; Frenken K, 2009, J INFORMETR, V3, P222, DOI 10.1016/j.joi.2009.03.005; Glanzel W, 2001, SCIENTOMETRICS, V51, P69, DOI 10.1023/A:1010512628145; Hoekman J, 2010, RES POLICY, V39, P662, DOI 10.1016/j.respol.2010.01.012; Hoekman J, 2009, ANN REGIONAL SCI, V43, P721, DOI 10.1007/s00168-008-0252-9; KATZ JS, 1994, SCIENTOMETRICS, V31, P31, DOI 10.1007/BF02018100; Katz JS, 1997, RES POLICY, V26, P1, DOI 10.1016/S0048-7333(96)00917-1; Leydesdorff L, 2010, J AM SOC INF SCI TEC, V61, P1622, DOI 10.1002/asi.21347; Liang LM, 2002, SCIENTOMETRICS, V55, P287, DOI 10.1023/A:1019623925759; LUUKKONEN T, 1993, SCIENTOMETRICS, V28, P15, DOI 10.1007/BF02016282; Ma Wanhua, 2008, HIGH EDUC POLICY, V21, P5, DOI DOI 10.1057/PALGRAVE.HEP.8300175; NARIN F, 1991, SCIENTOMETRICS, V21, P313, DOI 10.1007/BF02093973; Peters M., 2009, 7 U ILL URB CHAMP CT; Royal Society, 2011, 0311 RS; Samarasekera IV, 2009, NATURE, V462, P160, DOI 10.1038/462160a; Veugelers R, 2010, SCIENTOMETRICS, V82, P439, DOI 10.1007/s11192-009-0045-7; Wildavsky Ben, 2010, GREAT BRAIN RACE GLO; Wuchty S, 2007, SCIENCE, V316, P1036, DOI 10.1126/science.1136099; Yan EJ, 2011, J AM SOC INF SCI TEC, V62, P1498, DOI 10.1002/asi.21556; Zhou P, 2010, SCIENTOMETRICS, V82, P597, DOI 10.1007/s11192-010-0174-z 20 50 51 0 43 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. OCT 2011 5 4 574 582 10.1016/j.joi.2011.05.003 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 841PI WOS:000296524200009 Green Submitted 2021-10-14 J Egghe, L; Bornmann, L; Guns, R Egghe, L.; Bornmann, L.; Guns, R. A proposal for a First-Citation-Speed-Index JOURNAL OF INFORMETRICS English Article First-Citation-Speed-Index; FCSI; h-Index; Increasing sequence In this paper, we define a First-Citation-Speed-Index (FCSI) for a set of papers, based on their times of publication and of first citation. The index is based on the definition of a h-index for increasing sequences. We show that the index has several good properties in the sense that the shorter the times are between publication and first citation (in a global manner) the higher the FCSI is. We present two case studies: a first-citation speed comparison of three journals in the field of psychology and a first-citation speed comparison of accepted and rejected, but published elsewhere manuscripts by the journal Angewandte Chemie International Edition. Both case studies indicate that our FCSI satisfies the intuitive feeling of what values a FCSI should have in these cases. (C) 2010 Elsevier Ltd. All rights reserved. [Egghe, L.] Univ Hasselt, B-3590 Diepenbeek, Belgium; [Egghe, L.; Guns, R.] Univ Antwerp, B-2000 Antwerp, Belgium; [Bornmann, L.] Max Planck Gesell, D-80539 Munich, Germany Egghe, L (corresponding author), Univ Hasselt, Campus Diepenbeek,Agoralaan, B-3590 Diepenbeek, Belgium. leo.egghe@uhasselt.be; bornmann@gv.mpg.de; raf.guns@ua.ac.be Bornmann, Lutz/A-3926-2008; Guns, Raf/D-6762-2012 Bornmann, Lutz/0000-0003-0810-7091; Guns, Raf/0000-0003-3129-0330 Bornmann L, 2010, J INFORMETR, V4, P83, DOI 10.1016/j.joi.2009.09.001; Egghe L, 2005, LIBR INFORM SCI SER, P1; EGGHE L, SCIENTOMETR IN PRESS; Egghe L, 2010, ANNU REV INFORM SCI, V44, P65, DOI 10.1002/aris.2010.1440440109; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; SCHUBERT A, 1986, CZECH J PHYS, V36, P121, DOI 10.1007/BF01599743 6 12 15 1 33 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JAN 2011 5 1 181 186 10.1016/j.joi.2010.10.006 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 698WS WOS:000285626000014 Green Submitted 2021-10-14 J Serenko, A; Bontis, N Serenko, Alexander; Bontis, Nick What's familiar is excellent: The impact of exposure effect on perceived journal quality JOURNAL OF INFORMETRICS English Article Journal ranking; Stated preference; Exposure effect; Familiarity effect KNOWLEDGE MANAGEMENT; RANKING The purpose of this study is to test the existence of the exposure effect in journal ranking decisions. The exposure effect emerges when participants of journal ranking surveys assign higher scores to some journals merely because they are more familiar with them rather than on their objective assessment of the overall journal's contribution to the field. Analysis of the journal ranking data from a survey of 233 active researchers in the field of knowledge management and intellectual capital confirmed the existence of the exposure effect. Specifically, it was found that: (1) those who previously published in a particular journal rated it higher than those who did not; (2) those who previously served as a reviewer or editor for a particular journal also rated it higher than those who did not; and (3) a very strong correlation was found between the respondents' perceptions of overall contribution of a journal and the degree of their familiarity with this outlet. This investigation confirmed a major limitation of the stated preference journal ranking approach that should be taken into consideration in future research and results interpretation. (C) 2010 Elsevier Ltd. All rights reserved. [Serenko, Alexander] Lakehead Univ, Fac Business Adm, Thunder Bay, ON P7B 5E1, Canada; [Bontis, Nick] McMaster Univ, DeGroote Sch Business, Hamilton, ON L8S 4M4, Canada Serenko, A (corresponding author), Lakehead Univ, Fac Business Adm, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada. aserenko@lakeheadu.ca; nbontis@mcmaster.ca Serenko, Alexander/AAT-2082-2020 Serenko, Alexander/0000-0003-4881-2932 ADLER M, 1985, AM ECON REV, V75, P208; Adler NJ, 2009, ACAD MANAG LEARN EDU, V8, P72, DOI 10.5465/AMLE.2009.37012181; Bonev I., 2009, SHOULD WE TAKE J IMP; Bontis N, 2009, J KNOWL MANAG, V13, P16, DOI 10.1108/13673270910931134; BORNSTEIN RF, 1989, PSYCHOL BULL, V106, P265, DOI 10.1037/0033-2909.106.2.265; Brooks ME, 2006, CORP REPUT REV, V9, P105, DOI 10.1057/palgrave.crr.1550016; Dechene A, 2009, J EXP SOC PSYCHOL, V45, P1117, DOI 10.1016/j.jesp.2009.06.019; Griffith D. 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Informetr. JAN 2011 5 1 219 223 10.1016/j.joi.2010.07.005 5 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 698WS WOS:000285626000018 2021-10-14 J Balakrishnan, N; Sarabia, JM; Kolev, N Balakrishnan, N.; Maria Sarabia, Jose; Kolev, Nikolai A simple relation between the Leimkuhler curve and the mean residual life JOURNAL OF INFORMETRICS English Article Lifetime; Pareto and lognormal distributions; Cumulative distribution function; Mean residual life function GENERAL DEFINITION; FAILURE RATE; H-INDEX; DISTRIBUTIONS; OBSOLESCENCE; MODEL In this paper, a simple relation between the Leimkuhler curve and the mean residual life is established. The result is illustrated with several models commonly used in informetrics, such as exponential, Pareto and lognormal. Finally, relationships with some other reliability concepts are also presented. (C) 2010 Elsevier Ltd. All rights reserved. [Maria Sarabia, Jose] Univ Cantabria, Dept Econ, E-39005 Santander, Spain; [Balakrishnan, N.] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, Canada; [Kolev, Nikolai] Univ Sao Paulo, Dept Stat, BR-05508 Sao Paulo, Brazil Sarabia, JM (corresponding author), Univ Cantabria, Dept Econ, E-39005 Santander, Spain. sarabiaj@unican.es Sarabia, Jose Maria/F-5672-2016 Sarabia, Jose Maria/0000-0002-9619-4721; Kolev, Nikolai/0000-0002-1399-0862 ARNOLD BC, 1983, THESIS INT COOPERATI; Balakrishnan N., 2003, PRIMER STAT DISTRIBU; Burrell QL, 2001, SCIENTOMETRICS, V52, P3, DOI 10.1023/A:1012751509975; BURRELL QL, 1991, SCIENTOMETRICS, V21, P181, DOI 10.1007/BF02017568; Burrell QL, 2008, INFORM PROCESS MANAG, V44, P1794, DOI 10.1016/j.ipm.2008.03.002; Burrell QL, 2007, J INFORMETR, V1, P16, DOI 10.1016/j.joi.2006.07.001; Burrell QL, 2006, J AM SOC INF SCI TEC, V57, P1406, DOI 10.1002/asi.20402; Burrell QL, 2006, SCIENTOMETRICS, V68, P441, DOI 10.1007/s11192-006-0122-0; Egghe L, 2005, J AM SOC INF SCI TEC, V56, P935, DOI 10.1002/asi.20186; EGGHE L, 1992, INFORM PROCESS MANAG, V28, P201, DOI 10.1016/0306-4573(92)90046-3; Egghe L, 2005, LIBR INFORM SCI SER, P1; Egghe L, 2009, J INFORMETR, V3, P290, DOI 10.1016/j.joi.2009.01.004; Egghe L, 2002, MATH COMPUT MODEL, V35, P1149, DOI 10.1016/S0895-7177(02)00077-8; Egghe L., 1990, INTRO INFORMETRICS Q; Egghe L, 2006, SCIENTOMETRICS, V69, P121, DOI 10.1007/s11192-006-0143-8; GASTWIRTH JL, 1971, ECONOMETRICA, V39, P1037, DOI 10.2307/1909675; Glanzel W, 2006, SCIENTOMETRICS, V67, P315, DOI 10.1556/Scient.67.2006.2.12; Gupta BM, 1998, SCIENTOMETRICS, V42, P335, DOI 10.1007/BF02458376; Gupta RC, 2003, MATH COMPUT MODEL, V37, P1271, DOI 10.1016/S0895-7177(03)90038-0; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; HOLLANDER M, 1975, BIOMETRIKA, V62, P585, DOI 10.1093/biomet/62.3.585; Sarabia JM, 2008, INFORM PROCESS MANAG, V44, P1808, DOI 10.1016/j.ipm.2008.04.001; Muth E. 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OCT 2010 4 4 602 607 10.1016/j.joi.2010.06.009 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 647KA WOS:000281616200014 2021-10-14 J Bar-Ilan, J Bar-Ilan, Judit Rankings of information and library science journals by JIF and by h-type indices JOURNAL OF INFORMETRICS English Article h-Index; Journal impact factor; Ranking; h-Type indices IMPACT; ECONOMICS In this paper we compute journal rankings in the Information and Library Science JCR category according to the JIF and according to several h-type indices. Even though the correlations between all the ranked lists are very high, there are considerable individual differences between the rankings as can be seen by visual inspection, showing that the correlation measure is not sensitive enough. Thus we also compute other measures, Spearman's footrule and the M-measure that are more sensitive to the differences between the rankings in the sense that the range of values is larger than the range of correlation values when comparing the JIF ranking to the rankings induced by the h-type indices. (C) 2009 Elsevier Ltd. All rights reserved. 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Informetr. APR 2010 4 2 141 147 10.1016/j.joi.2009.11.006 7 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 568II WOS:000275515500002 2021-10-14 J Moussa, S; Touzani, M Moussa, Salim; Touzani, Mourad Ranking marketing journals using the Google Scholar-based hg-index JOURNAL OF INFORMETRICS English Article Marketing journals; Ranking; Google Scholar; h-index; g-index; hg-index WEB-OF-SCIENCE; BIBLIOMETRIC DATA; CITATION; SCOPUS; IMPACT This paper provides a ranking of 69 marketing journals using a new Hirsch-type index, the hg-index which is the geometric mean of hg. The applicability of this index is tested on data retrieved from Google Scholar on marketing journal articles published between 2003 and 2007. The authors investigate the relationship between the hg-ranking, ranking implied by Thomson Reuters' Journal Impact Factor for 2008, and rankings in previous citation-based studies of marketing journals. They also test two models of consumption of marketing journals that take into account measures of citing (based on the hg-index), prestige, and reading preference. (C) 2009 Elsevier Ltd. All rights reserved. [Moussa, Salim] Univ Gafsa, Inst Super Etud Appl Humanites Gafsa, Gafsa, Tunisia; [Moussa, Salim; Touzani, Mourad] Univ Tunis, Inst Super Gest, Tunis, Tunisia Moussa, S (corresponding author), Univ Gafsa, Inst Super Etud Appl Humanites Gafsa, Cite Jeunes 2133, Gafsa, Tunisia. salimmoussa@yahoo.fr Alonso S, 2009, J INFORMETR, V3, P273, DOI 10.1016/j.joi.2009.04.001; ALONSO S, SCIENTOMETR IN PRESS; Ball P, 2005, NATURE, V436, P900, DOI 10.1038/436900a; Bar-Ilan J, 2008, SCIENTOMETRICS, V74, P257, DOI 10.1007/s11192-008-0216-y; Bauerly RJ, 2005, J ACAD MARKET SCI, V33, P313, DOI 10.1177/0092070304272052; Baumgartner H, 2003, J MARKETING, V67, P123, DOI 10.1509/jmkg.67.2.123.18610; BELEW RK, 2005, SCI IMPACT QUANTITY; Bontis N, 2009, J KNOWL MANAG, V13, P16, DOI 10.1108/13673270910931134; Bornmann L, 2005, SCIENTOMETRICS, V65, P391, DOI 10.1007/s11192-005-0281-4; Braun T, 2005, SCIENTIST, V19, P8; Braun T, 2006, SCIENTOMETRICS, V69, P169, DOI 10.1007/s11192-006-0147-4; *CAB PUBL INC, 2008, CAB DIR PUBL OPP MAR; Cameron BD, 2005, PORTAL-LIBR ACAD, V5, P105, DOI 10.1353/pla.2005.0003; Costas R, 2008, SCIENTOMETRICS, V77, P267, DOI 10.1007/s11192-007-1997-0; Egghe L, 2006, SCIENTIST, V20, P15; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Everett, 1989, INT J RES MARK, V6, P199; Fry E. 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Informetr. JAN 2010 4 1 107 117 10.1016/j.joi.2009.10.001 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 530ZI WOS:000272631100012 2021-10-14 J Agouzal, A; Lafouge, T Agouzal, Abdelatif; Lafouge, Thierry On the relation between the Maximum Entropy Principle and the principle of Least Effort: The continuous case JOURNAL OF INFORMETRICS English Article Maximum Entropy Principle; Principle of Least Effort; effort function; inverse power function The Maximum Entropy Principle (MEP) maximizes the entropy provided that the effort remains constant. The Principle of Least Effort (PLE) minimizes the effort provided that the entropy remains constant. The paper investigates the relation between these two principles. In some kinds of effort functions, called admissible, it is shown that these two principles are equivalent. The results are illustrated by the size-frequency statistical distribution met in infometry in Information Production Processes. (C) 2007 Elsevier Ltd. All rights reserved. [Lafouge, Thierry] Univ Lyon 1, ELICO, F-69622 Villeurbanne, France; [Agouzal, Abdelatif; Lafouge, Thierry] Univ Lyon, Lyon, France; [Agouzal, Abdelatif] Univ Lyon 1, CNRS, UMR 5208, Inst Camille Jordan, F-69622 Villeurbanne, France Lafouge, T (corresponding author), Univ Lyon 1, ELICO, Batiment Omega,43 Blvd 11 Novembre 1918, F-69622 Villeurbanne, France. thierry.lafouge@univ-lyon1.fr Bradford S., 1934, ENGINEERING-LONDON, V137, P85, DOI DOI 10.1177/016555158501000407; Egghe L, 2006, MATH COMPUT MODEL, V43, P1, DOI 10.1016/j.mcm.2004.01.017; EGGHE L, 1990, J INFORM SCI, V16, P17, DOI 10.1177/016555159001600105; EGGHE L, 2005, POWER LAWS INFROM PR; Lafouge T, 2005, INFORM PROCESS MANAG, V41, P1387, DOI 10.1016/j.ipm.2005.03.004; Lafouge T, 2006, INFORM PROCESS MANAG, V42, P1442, DOI 10.1016/j.ipm.2006.03.010; Lotka A. J., 1926, J WASHINGTON ACAD SC, V16, P317; WYLLIS RE, 1982, LIB TRENDS, P53; YABLONSKY AI, 1980, SCIENTOMETRICS, V2, P3, DOI 10.1007/BF02016597; Zipf G. K., 1949, HUMAN BEHAV PRINCIPL 10 4 4 2 10 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. 2008 2 1 75 88 10.1016/j.joi.2007.10.002 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 270LL WOS:000253722200004 Green Submitted 2021-10-14 J Schubert, A; Glanzel, W Schubert, Andras; Glanzel, Wolfgang A systematic analysis of Hirsch-type indices for journals JOURNAL OF INFORMETRICS English Article h-index; Pareto distribution; impact factor; journals; ranking A theoretical model of the dependence of Hirsch-type indices on the number of publications and the average citation rate is tested successfully on empirical samples of journal h-indices. [Schubert, Andras; Glanzel, Wolfgang] Hungarian Acad Sci, ISSRU, IRPS, Budapest, Hungary; [Glanzel, Wolfgang] Katholieke Univ Leuven, B-3000 Louvain, Belgium Glanzel, W (corresponding author), Hungarian Acad Sci, ISSRU, IRPS, Budapest, Hungary. wolfgang.glanzel@econ.kuleuven.ac.be Glanzel, Wolfgang/A-6280-2008; Schubert, Andras/H-8045-2015 Glanzel, Wolfgang/0000-0001-7529-5198; Schubert, Andras/0000-0001-8348-1775 Braun T, 2005, SCIENTIST, V19, P8; Braun T, 2006, SCIENTOMETRICS, V69, P169, DOI 10.1007/s11192-006-0147-4; Glanzel W, 2006, SCIENTOMETRICS, V67, P315, DOI 10.1556/Scient.67.2006.2.12; Glanzel W, 2003, SCIENTOMETRICS, V56, P357, DOI 10.1023/A:1022378804087; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; PAO ML, 1986, J AM SOC INFORM SCI, V37, P26, DOI 10.1002/(SICI)1097-4571(198601)37:1<26::AID-ASI4>3.0.CO;2-Z; Vlachy J., 1976, PROBLEME INFORMARE S, V10, P44 7 148 151 2 75 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 J INFORMETR J. Informetr. JUL 2007 1 3 179 184 10.1016/j.joi.2006.12.002 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 272BE WOS:000253831700001 2021-10-14 J Kostoff, RN; Geisler, E Kostoff, Ronald N.; Geisler, Elie The unintended consequences of metrics in technology evaluation JOURNAL OF INFORMETRICS English Article metrics; research evaluation; scientometrics; research policy; research documentation; science and technology; strategic management; unintended consequences RESEARCH-AND-DEVELOPMENT; PERFORMANCE-MEASUREMENT; SYSTEM; IMPACT This paper describes science and technology (S&T) metrics, especially impact of metrics on strategic management. The main messages to be conveyed from this paper are: (1) metrics play many roles in supporting management of the S&T enterprise; (2) metrics can influence S&T development incentives; (3) incorrect selection and implementation of metrics can have negative unintended consequences on the research and research documentation generated and (4) before implementing metrics, an organization should identify and evaluate the intended and unintended consequences of the specific metrics' implementation, and identify the impact of these consequences on the organization's core mission. (c) 2007 Elsevier Ltd. All rights reserved. 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Informetr. APR 2007 1 2 103 114 10.1016/j.joi.2007.02.002 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 269JI WOS:000253644900001 2021-10-14 J Glanzel, W Glaenzel, Wolfgang Characteristic scores and scales - A bibliometric analysis of subject characteristics based on long-term citation observation JOURNAL OF INFORMETRICS English Article citation analysis; long-term citation impact; disciplinary citation impact; pareto distribution; extreme values; truncated moments GENERALIZED WARING DISTRIBUTION; SCIENTIFIC LITERATURE; STOCHASTIC-MODEL; IMPACT; DISTRIBUTIONS; INDICATORS; SCIENCE In an earlier paper by Glanzel and Schubert [Glanzel, W., & Schubert, A. (1988a). Characteristic scores and scales in assessing citation impact. Journal of Information Science, 14(2), 123-127; Glanzel, W., & Schubert, A. (1988b). Theoretical and empirical studies of the tail of scientometric distributions. In L. Egghe, & R. Rousseau (Eds.), Informetrics: Vols. 87/88, (pp. 75-83). Elsevier Science Publisher B. V.], a method for classifying ranked observations into self-adjusting categories was developed. This parameter-free method, which was called method of characteristic scores and scales, is independent of any particular bibliometric law. The objective of the present study is twofold. In the theoretical part, the analysis of its properties for the general form of the Pareto distribution will be extended and deepened; in the empirical part the citation history of individual scientific disciplines will be studied. The chosen citation window of 21 years makes it possible to analyse dynamic aspects of the method, and proves sufficiently large to also obtain stable patterns for each of the disciplines. The theoretical findings are supplemented by regularities derived from the long-term observations. (c) 2006 Elsevier Ltd. All rights reserved. [Glaenzel, Wolfgang] Katholieke Univ Leuven, Steunpunt O&O Statistieken, B-3000 Louvain, Belgium; [Glaenzel, Wolfgang] Hungarian Acad Sci, IRPS, Budapest, Hungary Glanzel, W (corresponding author), Katholieke Univ Leuven, Steunpunt O&O Statistieken, Dekenstraat 2, B-3000 Louvain, Belgium. 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JAN 2007 1 1 92 102 10.1016/j.joi.2006.10.001 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 274AN WOS:000253974300011 2021-10-14 J Han, YJ Han, Yoo-Jin Measuring industrial knowledge stocks with patents and papers JOURNAL OF INFORMETRICS English Article industrial knowledge stock; patents; papers; the USPTO web site; the SCI database PRODUCTIVITY GROWTH; SCIENCE; FLOWS Under the National Innovation System (NIS) framework, knowledge stock has been recognized as a key factor for enhancing national innovative capabilities. However, despite the importance of patents and papers for measuring knowledge, previous research has not fully utilized patent and paper databases, and has instead relied on research and development (R&D) data. Therefore, in this research, I introduce a way to utilize both types of useful data when measuring industrial knowledge stocks. As primary data sources, the United States Patent and Trademark Office (USPTO) Web site for patents and the science citation index (SCI) for papers are used. In the case of Korea, the amount of knowledge stock proxied by patents and papers is different from that proxied by R&D, which indicates in turn that using a single indicator such as R&D may be misleading. Although the result may vary depending on the selected nation, the proposed method will be useful for gauging knowledge stocks in a more complementary way. (c) 2007 Elsevier Ltd. All rights reserved. Korea Inst Intellectual Property, Seoul 135980, South Korea Han, YJ (corresponding author), Korea Inst Intellectual Property, 3th FL,647-9, Seoul 135980, South Korea. yjhan@kiip.re.kr Abdih Y, 2006, IMF STAFF PAPERS, V53, P242; Archibugi D, 1996, TECHNOVATION, V16, P451, DOI 10.1016/0166-4972(96)00031-4; Breschi S., 1997, SYSTEMS INNOVATION T, P130, DOI DOI 10.4324/9780203357620; Criscuolo P, 2006, SCIENTOMETRICS, V66, P23, DOI 10.1007/s11192-006-0003-6; GRILICHES Z, 1979, BELL J ECON, V10, P92, DOI 10.2307/3003321; Hall B, 2001, 8498 NBER; HICKS D, 1996, C NEW S T IND KNOWL; Kleinknecht A, 2002, ECON INNOV NEW TECH, V11, P109, DOI DOI 10.1080/10438590210899; LACH S, 1995, ECON LETT, V49, P101, DOI 10.1016/0165-1765(94)00618-C; MANSFIELD E, 1980, AM ECON REV, V70, P863; MARLERBA F, 2002, RES POLICY, V31, P247; Metcalfe JS, 2005, FUTURES, V37, P655, DOI 10.1016/j.futures.2004.11.006; Meyer M, 2002, SCIENTOMETRICS, V54, P193, DOI 10.1023/A:1016057727209; Moon HS, 2005, SCIENTOMETRICS, V64, P67, DOI 10.1007/s11192-005-0238-7; Nelson R. 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Informetr. 2007 1 4 269 276 10.1016/j.joi.2007.06.001 8 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 272BF WOS:000253831900002 2021-10-14 J Cappelletti-Montano, B; Columbu, S; Montaldo, S; Musio, M Cappelletti-Montano, Beniamino; Columbu, Silvia; Montaldo, Stefano; Musio, Monica New perspectives in bibliometric indicators: Moving from citations to citing authors JOURNAL OF INFORMETRICS English Article Bibliometrics; MathSciNet; Citations; Citing authors; h-index IMPACT; PUBLICATIONS We propose a new bibliometric indicator, called citing authors index, to assess the impact and spread of the individual scientific research. With this new index we change the paradigm by focusing the attention to the number of citing authors instead of the mere number of citations. We test this index in the mathematical community by using the MathSciNet database of the American Mathematical Society. An aggregate version of the index is also proposed for the comparison of the performances of different institutions. (c) 2021 Elsevier Ltd. All rights reserved. [Cappelletti-Montano, Beniamino; Columbu, Silvia; Montaldo, Stefano; Musio, Monica] Univ Cagliari, Dept Math & Comp Sci, Via Osped 72, I-09124 Cagliari, Italy Columbu, S (corresponding author), Univ Cagliari, Dept Math & Comp Sci, Via Osped 72, I-09124 Cagliari, Italy. b.cappellettimontano@unica.it; silvia.columbu@unica.it; montaldo@unica.it; mmusio@unica.it Fondazione di SardegnaFondazione Banco di Sardegna Research partially supported by the project STAGE funded by Fondazione di Sardegna. B.C.M. and S.M. are members of INDAM - Istituto Nazionale di Alta Matematica. 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Informetr. AUG 2021 15 3 101164 10.1016/j.joi.2021.101164 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science WB5JH WOS:000703607500015 2021-10-14 J Liu, YM; Yang, L; Chen, M Liu, Yunmei; Yang, Liu; Chen, Min A new citation concept: Triangular citation in the literature JOURNAL OF INFORMETRICS English Article Literature citation; Triangular citation; Reference time; Impact factor; Interdisciplinary; Author self-citation RESEARCH FRONTS; COCITATION; SCIENCE; DOMAINS; IMPACT; INDEX This paper introduces the concept of triangular citation that combines direct citation, co citation and bibliographic coupling, and defines three kinds of literature used in triangular citation, namely, original Literature A, intermediary Literature B and following Literature C. Taking citation data from the CNKI database as the experimental sample, it was found that there are triangular citations in the actual citation network, with a high coverage rate. Additionally, the authors analyzed the triangular citation sample data from the different perspectives of reference time, literature type, impact factor, interdisciplinary citation, and the author's self-citation, thereby finding the external characteristics of literature and internal trends of citation in the triangular citation. Additionally, it was concluded that the literature between A and C has an "indirect citation" mechanism. The citation characteristics of the two, i.e., A and C, are different from the direct citation relationship characteristics of A and B and B and C. The triangular citation proposed in this paper provides a new research perspective for bibliometrics, and it can be used to explore hidden literature relationships, citation mechanisms and citation motivations. (c) 2021 Elsevier Ltd. All rights reserved. [Liu, Yunmei] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China; [Yang, Liu] Hunan Univ Arts & Sci, Coll Arts, Changde 415000, Peoples R China; [Yang, Liu] Sultan Idris Educ Univ, Fac Mus & Performing Arts, Tanjung Malim, Malaysia; [Chen, Min] Wenzhou Univ, Acad Financial Res, Sch Business, Wenzhou 325035, Peoples R China Chen, M (corresponding author), Wenzhou Univ, Acad Financial Res, Sch Business, Wenzhou 325035, Peoples R China. emily19950904@163.com; P20192001144@siswa.upsi.edu.my; xuancm@gmail.com Chen, Min/AAD-4064-2019 National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71420107026]; project of "Executives' Dynamic Relationship Network, System Differences, and Chinese Enterprises' Internationalization Strategy: Internal Mechanism and Empirical Test" [21NDJC144YB] We wish to thank every anonymous referee for important insightful comments and suggestions. 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MAY 2021 15 2 101141 10.1016/j.joi.2021.101141 18 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science SL1FJ WOS:000656661900009 2021-10-14 J Chen, SJ; Qiu, JP; Arsenault, C; Lariviere, V Chen, Shiji; Qiu, Junping; Arsenault, Clement; Lariviere, Vincent Exploring the interdisciplinarity patterns of highly cited papers JOURNAL OF INFORMETRICS English Article Interdisciplinarity; Highly cited papers; Scientific impact; Percentiles This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity) and the typical integration indicators (i.e., the Rao-Stirling index (RS) and the Leinster?Cobbold Diversity Index (LCDiv)) of all papers published in 2000 and indexed in Clarivate Analytics? Web of Science. These papers are categorized into six percentile rank classes according to their citation rates, and the interdisciplinarity among these percentile rank classes is compared. Our results demonstrate that, whether control variables are considered or not, highly cited papers always exhibit higher variety and disparity, but they also exhibit lower balance. In terms of the integration interdisciplinarity indicators, the RS and LCDiv both have a positive effect on citation impact. From the perspective of effect size, our results suggest that the effect of variety on citation impact is most significant, followed by disparity and then balance. These results indicate that variety is likely the most important interdisciplinary factor for citation impact. ? 2020 Elsevier Ltd. All rights reserved. [Chen, Shiji; Qiu, Junping] Hangzhou Dianzi Univ, Chinese Acad Sci & Educ Evaluat CASEE, Hangzhou 310018, Zhejiang, Peoples R China; [Arsenault, Clement; Lariviere, Vincent] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ, Canada; [Lariviere, Vincent] Univ Quebec Montreal, Ctr Interuniv Rech Sci & Technol CIRST, Observ Sci & Technol OST, Montreal, PQ, Canada Chen, SJ (corresponding author), Hangzhou Dianzi Univ, Chinese Acad Sci & Educ Evaluat CASEE, Hangzhou 310018, Zhejiang, Peoples R China. chensj@hdu.edu.cn; casee.hdu@outlook.com; clement.arsenault@umontreal.ca; vincent.lariviere@umontreal.ca National Social Science Foundation of China [20BTQ083] AcknowledgementsThe first author acknowledges support from the National Social Science Foundation of China (Grant 20BTQ083). We alsothank several reviewers and commentators, especially Ismael Rafols and Ludo Waltman. 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Informetr. FEB 2021 15 1 101124 10.1016/j.joi.2020.101124 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science RC2DK WOS:000632614000009 2021-10-14 J Csomos, G Csomos, Gyoergy Introducing recalibrated academic performance indicators in the evaluation of individuals' research performance: A case study from Eastern Europe JOURNAL OF INFORMETRICS English Article Academic performance indicator; Earth sciences; Discipline-specific distance ratio; Integer counting; Fractional counting; Hungary SOCIAL-SCIENCES; IMPACT FACTOR; COUNTING METHODS; CITATION IMPACT; CO-AUTHORSHIP; PUBLICATION; JOURNALS; SCOPUS; WEB; CONSEQUENCES In Hungary, the highest and most prestigious scientific qualification is considered to be the Doctor of Science (DSc) title being awarded by the Hungarian Academy of Sciences. The academic performance indicators of the DSc title are of high importance in the evaluation of individuals' research performance not only when a researcher applies for obtaining a DSc title, but also during promotions and appointments at universities, and in the case of the evaluation of applications for scientific titles and degrees, and the assessment of applications for funding. In the Section of Earth Sciences encompassing nine related disciplines, rather than carrying out a straightforward bibliometric analysis, the performance indicators were designed as a result of a consensual agreement between leading academicians, each of whom represented a particular discipline. Therefore, the minimum values of the indicators, required to be fulfilled if one is applying for a DSc title, do not adequately reflect the actual discipline-specific performance of researchers. This problem may generate tension between researchers during the evaluation process. The main goal of this paper is to recalibrate the minimum values of four major performance indicators by taking the actual discipline-specific distance ratios into account. In addition, each minimum value will be defined by employing integer and fractional counting methods as well. The research outcome of this study can provide impetus for the Section of Earth Sciences (and eventually other sections of the Hungarian Academy of Sciences) to optimize the minimum values of the DSc title performance indicators by taking the specifics of each discipline into account. Because academic performance indicators are also employed in other Eastern European countries in the evaluation of individuals' research performance, the methods used in that paper can be placed into a wider geographical context. (C) 2020 The Author. Published by Elsevier Ltd. 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Informetr. NOV 2020 14 4 101073 10.1016/j.joi.2020.101073 17 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science PL1EE WOS:000602873300002 Green Published, Green Submitted, hybrid 2021-10-14 J Wang, YK; Yang, ZK; Liu, LJ; Wang, XW Wang, Yukai; Yang, Zhongkai; Liu, Lanjian; Wang, Xianwen Gender bias in patenting process JOURNAL OF INFORMETRICS English Article Gender bias; Patent; Inventor; USPTO AUTHOR GENDER; WOMEN; SCIENCE; COLLABORATION; PATTERNS; IMPACT Collaboration among inventors is very important in patenting an invention. Inventors collaborate based on their professional knowledge and experience. Because of the non-disclosure nature of the invention process, it is difficult to test the factors influencing collaboration between inventors, e.g., gender bias. In this study, employing the US Patent and Trademark Office (USPTO) dataset with 6.64 million patents, we have identified the gender of 4.66 million inventors, including 2.12 million lead inventors and 2.54 million joint inventors. We find that women are underrepresented in the patent collaboration process and that both genders have strong preference for same-gender inventors. Moreover, even in those fields that have equal proportions of male and female inventors, gender bias persists. These results highlight the need to intensify efforts to combat gender bias in the patenting process rather than focusing solely on the lack of equal gender representation in the numerical proportions. (C) 2020 Elsevier Ltd. All rights reserved. [Wang, Yukai; Yang, Zhongkai; Wang, Xianwen] Dalian Univ Technol, Inst Sci Sci & S&T Management, WISE Lab, Dalian 116024, Peoples R China; [Liu, Lanjian] ChangAn Univ, Sch Publ Adm & Law, Xian 710064, Peoples R China Wang, XW (corresponding author), Dalian Univ Technol, Inst Sci Sci & S&T Management, WISE Lab, Dalian 116024, Peoples R China. xianwenwang@dlut.edu.cn National Social Science Foundation of China [19BGL007]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71673038, 71974029]; project of "Fundamental Research Funds for the Central Universities [DUT18JC32, 300102119301] This research was supported by the "National Social Science Foundation of China" (19BGL007), "National Natural Science Foundation of China" (71673038, 71974029) and the project of "Fundamental Research Funds for the Central Universities" (DUT18JC32, 300102119301). 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Informetr. MAY 2020 14 2 101016 10.1016/j.joi.2020.101016 4 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science NG7GI WOS:000564148300001 Green Submitted 2021-10-14 J Abramo, G; D'Angelo, CA; Di Costa, F Abramo, Giovanni; D'Angelo, Ciriaco Andrea; Di Costa, Flavia Authorship analysis of specialized vs diversified research output JOURNAL OF INFORMETRICS English Article Scientometrics; Research collaborations; Co-authorship; Italy RESEARCH COLLABORATION; SCIENTIFIC COLLABORATION; NETWORK; INTERDISCIPLINARITY; STRATEGIES; PATTERNS; INDEX The present work investigates the relations between amplitude and type of collaboration (intramural, extramural domestic or international) and output of specialized versus diversified research. By specialized or diversified research, we mean within or beyond the author's dominant research topic. The field of observation is the scientific production over five years from about 23,500 academics. The analyses are conducted at the aggregate and disciplinary level. The results lead to the conclusion that in general, the output of diversified research is no more frequently the fruit of collaboration than is specialized research. At the level of the particular collaboration types, international collaborations weakly underlie the specialized kind of research output; on the contrary, extramural domestic and intramural collaborations are weakly associated with diversified research. While the weakness of association remains, exceptions are observed at the level of the individual disciplines. (C) 2019 Elsevier Ltd. All rights reserved. [Abramo, Giovanni] CNR, Natl Res Council Italy, IASI, Inst Syst Anal & Comp Sci,Lab Studies Res Evaluat, Via Taurini 19, I-00185 Rome, Italy; [D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Univ Rome Tor Vergata Italy, Dipartimento Ingn Impresa, Lab Studies Res Evaluat,IASI,CNR, Via Politecn 1, I-00133 Rome, Italy; [Di Costa, Flavia] Res Value Srl, Via Michelangelo Tilli 39, I-00156 Rome, Italy Abramo, G (corresponding author), CNR, Natl Res Council Italy, IASI, Inst Syst Anal & Comp Sci,Lab Studies Res Evaluat, Via Taurini 19, I-00185 Rome, Italy. giovanni.abramo@uniroma2.it; dangelo@dii.uniroma2.it; flavia.dicosta@gmail.com D'Angelo, Ciriaco Andrea/J-8162-2012; Abramo, Giovanni/AAC-9098-2020 D'Angelo, Ciriaco Andrea/0000-0002-6977-6611; abramo, giovanni/0000-0003-0731-3635 Abramo G., 2017, SCIENTOMETRICS, V114, P373; Abramo G., 2017, P 16 INT SOC SCIENT; Abramo G, 2019, TECHNOVATION, V82-83, P51, DOI 10.1016/j.technovation.2018.06.010; Abramo G, 2018, SCIENTOMETRICS, V116, P423, DOI 10.1007/s11192-018-2746-2; Abramo G, 2017, J INFORMETR, V11, P1016, DOI 10.1016/j.joi.2017.09.007; Abramo G, 2017, SCIENTOMETRICS, V112, P1403, DOI 10.1007/s11192-017-2426-7; Abramo G, 2017, SCIENTOMETRICS, V111, P317, DOI 10.1007/s11192-017-2253-x; Abramo G, 2017, J INFORMETR, V11, P121, DOI 10.1016/j.joi.2016.12.003; Abramo G, 2014, SCIENTOMETRICS, V101, P1129, DOI 10.1007/s11192-014-1269-8; Abramo G, 2014, SCIENTOMETRICS, V98, P2275, DOI 10.1007/s11192-013-1185-3; Abramo G, 2013, J INFORMETR, V7, P811, DOI 10.1016/j.joi.2013.07.002; Abramo G, 2013, J INFORMETR, V7, P442, DOI 10.1016/j.joi.2013.01.009; Abramo G, 2012, SCIENTOMETRICS, V93, P1005, DOI 10.1007/s11192-012-0714-9; Aschhoff B, 2011, P 4 ZEW C EC INN PAT, DOI [10.2139/ssrn.2014668, DOI 10.2139/SSRN.2014668]; Bammer G, 2008, RES POLICY, V37, P875, DOI 10.1016/j.respol.2008.03.004; Boh WF, 2007, ORGAN SCI, V18, P595, DOI 10.1287/orsc.1070.0263; Bozeman B, 2004, RES POLICY, V33, P599, DOI 10.1016/j.respol.2004.01.008; Bozeman B, 2011, RES POLICY, V40, P1393, DOI 10.1016/j.respol.2011.07.002; Chen SJ, 2015, J INFORMETR, V9, P1034, DOI 10.1016/j.joi.2015.09.003; Clark BY, 2012, POLICY STUD J, V40, P698, DOI 10.1111/j.1541-0072.2012.00470.x; Cole JR, 1975, IDEA SOCIAL STRUCTUR, P139; Cramer H, 1946, MATH METHODS STAT, P282; D'Angelo CA, 2015, PRO INT CONF SCI INF, P909; D'Angelo CA, 2011, J AM SOC INF SCI TEC, V62, P257, DOI 10.1002/asi.21460; Gazni A, 2012, J AM SOC INF SCI TEC, V63, P323, DOI 10.1002/asi.21688; He ZL, 2009, RES POLICY, V38, P306, DOI 10.1016/j.respol.2008.11.011; Hirsch JE, 2007, P NATL ACAD SCI USA, V104, P19193, DOI 10.1073/pnas.0707962104; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Jones BF, 2008, SCIENCE, V322, P1259, DOI 10.1126/science.1158357; Katz JS, 1997, RES POLICY, V26, P1, DOI 10.1016/S0048-7333(96)00917-1; Lariviere V, 2010, J AM SOC INF SCI TEC, V61, P126, DOI 10.1002/asi.21226; Leahey E, 2016, ANNU REV SOCIOL, V42, P81, DOI 10.1146/annurev-soc-081715-074219; Lee S, 2005, SOC STUD SCI, V35, P673, DOI 10.1177/0306312705052359; Levitt JM, 2008, J AM SOC INF SCI TEC, V59, P1973, DOI 10.1002/asi.20914; MANN HB, 1947, ANN MATH STAT, V18, P50, DOI 10.1214/aoms/1177730491; Mayrose I, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0137856; Mizukami Y., 2017, BEHAVIORMETRIKA, V44, P385; Moody J, 2004, AM SOCIOL REV, V69, P213, DOI 10.1177/000312240406900204; Newman MEJ, 2001, P NATL ACAD SCI USA, V98, P404, DOI 10.1073/pnas.021544898; Ozel B, 2014, SCIENTOMETRICS, V98, P703, DOI 10.1007/s11192-013-1145-y; PIETTE MJ, 1992, J ECON EDUC, V23, P277, DOI 10.2307/1183230; Rea L.M., 1992, DESIGNING CONDUCTING; Rinia EJ, 2001, RES POLICY, V30, P357, DOI 10.1016/S0048-7333(00)00082-2; Rivellini G, 2006, SCIENTOMETRICS, V67, P407, DOI 10.1556/Scient.67.2006.3.5; Siciliano MD, 2018, SOC NETWORKS, V52, P167, DOI 10.1016/j.socnet.2017.07.003; Steele TW, 2000, J AM SOC INFORM SCI, V51, P476, DOI 10.1002/(SICI)1097-4571(2000)51:5<476::AID-ASI8>3.3.CO;2-7; van Rijnsoever FJ, 2011, RES POLICY, V40, P463, DOI 10.1016/j.respol.2010.11.001; Wang J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127298; Wray KB, 2005, SOC STUD SCI, V35, P151, DOI 10.1177/0306312705045811; Wuchty S, 2007, SCIENCE, V316, P1036, DOI 10.1126/science.1136099; Yegros-Yegros A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135095; Ynalvez MA, 2011, RES POLICY, V40, P204, DOI 10.1016/j.respol.2010.10.004; Yoshikane F, 2004, SCIENTOMETRICS, V60, P433 53 2 2 3 24 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. MAY 2019 13 2 564 573 10.1016/j.joi.2019.03.004 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science IB0FF WOS:000469932800007 Green Submitted 2021-10-14 J Park, H; Wolfram, D Park, Hyoungjoo; Wolfram, Dietmar Research software citation in the Data Citation Index: Current practices and implications for research software sharing and reuse JOURNAL OF INFORMETRICS English Article Software citation; Software sharing; Software reuse; Research software; Research data SCIENTIFIC SOFTWARE The aim of this study is to explore the phenomenon of research software citation and, in particular, to draw attention to the increasing importance of this form of citation in scholarly communication. This research sheds light on the current status of formal software citation that is captured by citation databases. Data for the study were gathered from more than 67,000 research software records available in public repositories indexed by Clarivate Analytics' Data Citation Index (DCI). The metadata characteristics of the indexed records and citation data were then analyzed. Research software was rarely cited in the DCI, suggesting that the documented reuse of research software rarely occurs or is not well documented. Institutional repositories attracted few citations and had low rate of citation. It proved impossible, however, using the available data to isolate specific identifiers that can promote formal software citation. The findings presented here offer insights into research software citation that will be of interest to funding agencies, publishers, researchers, and research organizations. (C) 2019 Elsevier Ltd. All rights reserved. [Park, Hyoungjoo; Wolfram, Dietmar] Univ Wisconsin, Sch Informat Studies, POB 413, Milwaukee, WI 53201 USA Park, H (corresponding author), Univ Wisconsin, Sch Informat Studies, POB 413, Milwaukee, WI 53201 USA. park32@uwm.edu; dwolfram@uwm.edu Ahalt S., 2015, NSF WORKSH SUPP SCI; Ball A., 2009, SCI DATA APPL PROFIL; Clarivate Analytics, 2018, WEB SCI PLATF DAT CI; Clarivate Analytics, 2018, DAT CIT IND HELP RES; Cousijn H., 2017, BIORXIV, DOI [DOI 10.1101/100784, 10.1101/100784]; DataCite Metadata Working Group, 2017, DATACITE MET SCHEM D, DOI [10.5438/0014, DOI 10.5438/0014]; Diamantopoulos N, 2011, COMM COM INF SC, V240, P453; Duck G, 2013, BMC BIOINFORMATICS, V14, DOI 10.1186/1471-2105-14-194; Fenner M., 2018, DOI REGISTRATIONS SO, DOI [10.5438/1nmy-9902, DOI 10.5438/1NMY-9902]; Fenton N., 2014, SOFTWARE METRICS RIG; Goble C, 2014, IEEE INTERNET COMPUT, V18, P4, DOI 10.1109/MIC.2014.88; Hafer L, 2009, COMMUN ACM, V52, P126, DOI 10.1145/1610252.1610285; Howison J, 2016, J ASSOC INF SCI TECH, V67, P2137, DOI 10.1002/asi.23538; Hwang LJ., 2016, IJDC, V11, P48, DOI 10.2218/ijdc.v11i2.390; Ince DC, 2012, NATURE, V482, P485, DOI 10.1038/nature10836; Jones M. 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Informetr. MAY 2019 13 2 574 582 10.1016/j.joi.2019.03.005 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science IB0FF WOS:000469932800008 2021-10-14 J Egghe, L; Rousseau, R Egghe, Leo; Rousseau, Ronald Infinite sequences and their h-type indices JOURNAL OF INFORMETRICS English Article Inequalities; h-index; Generalized h-index; g-index; R-index Starting from the notion of h-type indices for infinite sequences we investigate if these indices satisfy natural inequalities related to the arithmetic, the geometric and the harmonic mean. If f denotes an h-type index, such as the h- or the g-index, then we investigate inequalities such as min(f(X),f(Y)) <= f((X + Y)/2) < max(f(X), f(Y)). We further investigate if: f(min(X,Y)) = min(f(X),f(Y)) and if f(max(X,Y)) = max(f(X),f(Y)). It is shown that the h-index satisfies all the equalities and inequalities we investigate but the g-index does not always, while it is always possible to find a counterexample involving the R-index. This shows that the h-index enjoys a number of interesting mathematical properties as an operator in the partially ordered positive cone (R+)(infinity) of all infinite sequences with non-negative real values. In a second part we consider decreasing vectors X and Y with components at most at distanced. Denoting by D the constant sequence (d,d,d, ...) and by Y-D the vector (max(y(r) - d), 0)(r), we prove that under certain natural conditions, the double inequality h(Y-D) <= h(X) <= h(Y + D) holds. (C) 2019 Elsevier Ltd. All rights reserved. [Egghe, Leo] Univ Hasselt, Hasselt, Belgium; [Rousseau, Ronald] Univ Antwerp, Fac Social Sci, B-2020 Antwerp, Belgium; [Rousseau, Ronald] Katholieke Univ Leuven, Fac Onderzoeksctr ECOOM, Naamsestr 61, B-3000 Leuven, Belgium Rousseau, R (corresponding author), Katholieke Univ Leuven, Fac Onderzoeksctr ECOOM, Naamsestr 61, B-3000 Leuven, Belgium. leo.egghe@uhasselt.be; ronald.rousseau@uantwerpen.be Bornmann L., 2018, HEURISTICS CONCEPTUA; Bouyssou D, 2011, J AM SOC INF SCI TEC, V62, P1761, DOI 10.1002/asi.21544; Deineko VG, 2009, SCIENTOMETRICS, V80, P819, DOI 10.1007/s11192-009-2130-0; Egghe L, 2011, J INFORMETR, V5, P439, DOI 10.1016/j.joi.2011.03.006; Egghe L., 2006, ISSI NEWSLETTER, P8; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Fassin Y., 2018, H INDEX ACAD J PREPR; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Jin BH, 2007, CHINESE SCI BULL, V52, P855, DOI 10.1007/s11434-007-0145-9; Kosmulski M., 2006, ISSI NEWSLETTER, V2, P4; Littlewood G.H. Hardy. J.E., 1934, INEQUALITIES; Rousseau R, 2016, J ASSOC INF SCI TECH, V67, P3092, DOI 10.1002/asi.23525; Waltman L, 2012, J AM SOC INF SCI TEC, V63, P406, DOI 10.1002/asi.21678 13 6 6 1 12 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. FEB 2019 13 1 291 298 10.1016/j.joi.2019.01.005 8 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HN9WK WOS:000460550800032 Green Accepted 2021-10-14 J Pan, XL; Yan, EJ; Cui, M; Hua, WN Pan, Xuelian; Yan, Erjia; Cui, Ming; Hua, Weina How important is software to library and information science research? A content analysis of full-text publications JOURNAL OF INFORMETRICS English Article Software citation; Citation analysis; Software; Bibliometrics; Scholarly communication SCIENTIFIC SOFTWARE; IMPACT; JOURNALS; CITATION We investigate the contributions of scientific software to library and information science (LIS) research using a sample of 572 English language articles published in 13 journals in 2008, 2011, 2014, and 2017. In particular, we examine the use and citation of software freely available for academic use in the LIS literature; we also explore the extent to which researchers follow software citation instructions provided by software developers. Twenty-seven percent of the LIS journal articles in our sample explicitly mention and use software. Yet although LIS researchers are becoming increasingly reliant on software that is freely available for academic use, many still fail to include formal citations of such software in their publications. We also find that a substantial proportion of researchers, when documenting software use, do not cite the software in the manner recommended by its developers. (C) 2019 Elsevier Ltd. All rights reserved. [Pan, Xuelian; Cui, Ming; Hua, Weina] Nanjing Univ, Sch Informat Management, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China; [Yan, Erjia] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA Hua, WN (corresponding author), Nanjing Univ, Sch Informat Management, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China. huawn@nju.edu.cn Hua, Weina/0000-0001-5850-4461 National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71704077] This work was funded by the National Natural Science Foundation of China (Grant No. 71704077). Also, we are grateful to the reviewers for very helpful comments. Altman D. 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Informetr. FEB 2019 13 1 397 406 10.1016/j.joi.2019.02.002 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HN9WK WOS:000460550800021 2021-10-14 J Park, I; Yoon, B Park, Inchae; Yoon, Byungun Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network JOURNAL OF INFORMETRICS English Article Technological opportunity discovery; Technological convergence; Link prediction; Patent citation analysisa CROSS-FIELD; PATENT; INTERDISCIPLINARITY; IDENTIFICATION; CENTRALITY; PRODUCTS; TRAJECTORIES; COEVOLUTION; SPILLOVERS; EVOLUTION As technological convergence has recently become a mainstream innovation trend, technological opportunities need to be explored in heterogeneous technology fields. Most of the previous convergence studies have taken a retrospective view in measuring the degree of convergence and monitoring the converging trends. This paper proposes a quantitative future-oriented approach to technological opportunity discovery for convergence using patent information. In a future-oriented approach, technological opportunities for convergence are suggested by predicting potential technological knowledge flows (TKFs) between heterogeneous fields. The potential TKFs are predicted by a link prediction method in a directed network, which is suggested in this paper to represent the direction of the predicted TKFs by adapting the concept of bibliographic coupling and edge-betweenness centrality. Converging technological opportunities are proposed as incremental and radical technological opportunities by extracting the potential increased knowledge flow links and emerging knowledge flow links. Moreover, the direction and themes of the predicted potential TKFs are provided as technological opportunities for convergence. As an illustration of the proposed method, the technological opportunities between biotechnology (BT) and information technology (IT) are explored. Firms and researchers can use the proposed method to seek out new technological opportunities from various technologies so that R&D policymakers can plan new R&D projects on technological convergence. (C) 2018 Elsevier Ltd. All rights reserved. [Park, Inchae; Yoon, Byungun] Dongguk Univ Seoul, Seoul, South Korea Yoon, B (corresponding author), Dongguk Univ, Sch Engn, Dept Ind & Syst Engn, 30,Pildong Ro 1Gil, Seoul 04620, South Korea. postman3@dongguk.edu Yoon, Byungun/AAC-6608-2020 Yoon, Byungun/0000-0002-1110-4011 National Research Foundation of Korea Grant - Korean Government [NRF-2017R1D1A1 A09000758]; Dongguk University [S-2018-G0001-00034] This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2017R1D1A1 A09000758) and Dongguk University (S-2018-G0001-00034). 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Informetr. NOV 2018 12 4 1199 1222 10.1016/j.joi.2018.09.007 24 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HB5CH WOS:000451074800016 32336982 Green Published 2021-10-14 J van Leeuwen, T van Leeuwen, Thed Measuring Research: What Everyone Needs to Know JOURNAL OF INFORMETRICS English Book Review [van Leeuwen, Thed] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands van Leeuwen, T (corresponding author), Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands. leeuwen@cwts.leidenuniv.nl van Leeuwen, Thed N/0000-0001-7238-6289 Bellis N., 2009, BIBLIOMETRICS CITATI; Lariviere V., 2018, MEASURING RES WHAT E; Moed H. F., 2017, APPL EVALUATIVE INFO; Moed H. F., 2004, CITATION ANAL RES EV; Vinkler P., 2010, EVALUATION RES SCIEN 5 1 1 1 12 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. NOV 2018 12 4 1232 1234 10.1016/j.joi.2018.08.010 3 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HB5CH WOS:000451074800018 2021-10-14 J Andersen, JP; Nielsen, MW Andersen, Jens Peter; Nielsen, Mathias Wullum Google Scholar and Web of Science: Examining gender differences in citation coverage across five scientific disciplines JOURNAL OF INFORMETRICS English Article Gender in research; Academic careers; Google Scholar; Web of Science; h-Index H-INDEX; BIBLIOMETRIC INDICATORS; JOURNALS; SCOPUS; RESEARCHERS; BUSINESS; ECONOMICS; AUTHOR Many studies demonstrate differences in the coverage of citing publications in Google Scholar (GS) and Web of Science (WoS). Here, we examine to what extent citation data from the two databases reflect the scholarly impact of women and men differently. Our conjecture is that WoS carries an indirect gender bias in its selection criteria for citation sources that GS avoids due to criteria that are more inclusive. Using a sample of 1250 U.S. researchers in Sociology, Political Science, Economics, Cardiology and Chemistry, we examine gender differences in the average citation coverage of the two databases. We also calculate database-specific h-indices for all authors in the sample. In repeated simulations of hiring scenarios, we use these indices to examine whether women's appointment rates increase if hiring decisions rely on data from GS in lieu of WoS. We find no systematic gender differences in the citation coverage of the two databases. Further, our results indicate marginal to non-existing effects of database selection on women's success-rates in the simulations. In line with the existing literature, we find the citation coverage in WoS to be largest in Cardiology and Chemistry and smallest in Political Science and Sociology. The concordance between author-based h-indices measured by GS and WoS is largest for Chemistry followed by Cardiology, Political Science, Sociology and Economics. (C) 2018 Elsevier Ltd. All rights reserved. [Andersen, Jens Peter; Nielsen, Mathias Wullum] Aarhus Univ, Danish Ctr Studies Res & Res Policy, Bartholins Alle 7, DK-8000 Aarhus C, Denmark Andersen, JP (corresponding author), Aarhus Univ, Danish Ctr Studies Res & Res Policy, Bartholins Alle 7, DK-8000 Aarhus C, Denmark. jpa@ps.au.dk Andersen, Jens Peter/H-4247-2019 Andersen, Jens Peter/0000-0003-2444-6210; Nielsen, Mathias Wullum/0000-0001-8759-7150 Aksnes DW, 2004, RES EVALUAT, V13, P33, DOI 10.3152/147154404781776563; Amara N, 2013, HIGH EDUC, V65, P359, DOI 10.1007/s10734-012-9549-9; Andersen J. 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Informetr. AUG 2018 12 3 950 959 10.1016/j.joi.2018.07.010 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science GR5KS WOS:000442670600025 Green Accepted 2021-10-14 J Jiang, L; Zhu, NB; Yang, ZL; Xu, S; Jun, M Jiang, Ling (Alice); Zhu, Nibing; Yang, Zhilin; Xu, Shen; Jun, Minjoon The relationships between distance factors and international collaborative research outcomes: A bibliometric examination JOURNAL OF INFORMETRICS English Article International collaboration; Distance; Research outcomes; Bibliometric study; Marketing field SCIENTIFIC CO-AUTHORSHIP; BUSINESS RESEARCH; INSTITUTIONAL DISTANCE; SCIENCE; JOURNALS; CITATION; COOPERATION; GLOBALIZATION; COAUTHORSHIP; PATTERNS Increasingly, scholars have been conducting team-based research with multinational collaborators to carry out internationally relevant studies, generate global impact, and promote academic exchanges. In this paper, we examine how four types of distance, i.e., geographic, political, cultural, and economic, relate to the output of international research collaborations. We analyze a bibliometric data set derived from four leading marketing journals spanning the 2001-2016 time frame. Among other insights, our results show that in the context of international collaborative research efforts, co-authors from countries with wider economic distances and narrower political distances have published fewer articles and received fewer citations compared to those from countries with narrower economic distances and wider political distances. (C) 2018 Elsevier Ltd. All rights reserved. [Jiang, Ling (Alice)] Macau Univ Sci & Technol, Macau, Peoples R China; [Zhu, Nibing] City Univ Hong Kong, Kowloon Tong, Hong Kong, Peoples R China; [Yang, Zhilin; Xu, Shen] China Univ Min & Technol, Xuzhou, Jiangsu, Peoples R China; [Jun, Minjoon] New Mexico State Univ, Las Cruces, NM 88003 USA Yang, ZL (corresponding author), City Univ Hong Kong, Dept Mkt, 83 Tat Chee Ave, Kowloon Tong, Hong Kong, Peoples R China. mkzyang@cityu.edu.hk Yang, Zhilin/F-5241-2011; Jiang, Ling/K-2450-2016 Yang, Zhilin/0000-0003-0944-4903; Jiang, Ling/0000-0001-5487-3163; Zhu, Nibing/0000-0001-6165-5287 National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71672164]; City University of Hong KongCity University of Hong Kong [9680194]; Macau University of Science and Technology (Faculty Researh Grant) The authors gratefully acknowledge a grant from National Natural Science Foundation of China (project 71672164), City University of Hong Kong (project 9680194), and Macau University of Science and Technology (Faculty Researh Grant) for financial support. 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Informetr. AUG 2018 12 3 618 630 10.1016/j.joi.2018.04.004 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science GR5KS WOS:000442670600006 2021-10-14 J Ke, Q Ke, Qing Comparing scientific and technological impact of biomedical research JOURNAL OF INFORMETRICS English Article Patent-to-paper citation; Non-patent reference; Technological impact SLEEPING BEAUTIES; PATENT CITATIONS; KNOWLEDGE FLOWS; PUBLIC SCIENCE; INVENTIONS; INNOVATION; COMMUNITY; LINKAGE Traditionally, the number of citations that a scholarly paper receives from other papers is used as the proxy of its scientific impact. Yet citations can come from domains outside the scientific community, and one such example is through patented technologies-paper can be cited by patents, achieving technological impact. While the scientific impact of papers has been extensively studied, the technological aspect remains less known in the literature. Here we aim to fill this gap by presenting a comparative study on how 919 thousand biomedical papers are cited by U.S. patents and by other papers over time. We observe a positive correlation between citations from patents and from papers, but there is little overlap between the two domains in either the most cited papers, or papers with the most delayed recognition. We also find that the two types of citations exhibit distinct temporal variations, with patent citations lagging behind paper citations for a median of 6 years for the majority of papers. Our work contributes to the understanding of the technological impact of papers. (C) 2018 Elsevier Ltd. All rights reserved. [Ke, Qing] Indiana Univ, Ctr Complex Networks & Syst Res, Sch Informat Comp & Engn, Bloomington, IN 47408 USA Ke, Q (corresponding author), Indiana Univ, Ctr Complex Networks & Syst Res, Sch Informat Comp & Engn, Bloomington, IN 47408 USA. qke@indiana.edu Ke, Qing/T-1434-2019 Ke, Qing/0000-0002-2945-5274 Ahmadpoor M, 2017, SCIENCE, V357, P583, DOI 10.1126/science.aam9527; Alcacer J, 2006, REV ECON STAT, V88, P774, DOI 10.1162/rest.88.4.774; Alcacer J, 2009, RES POLICY, V38, P415, DOI 10.1016/j.respol.2008.12.001; Alstott J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085777; Azoulay P., 2011, RATE DIRECTION INVEN, P107; Azoulay P., 2015, NATL BUR EC RES WORK, V20889, DOI [10.3386/w20889, DOI 10.3386/W20889]; BOWIE JU, 1990, SCIENCE, V247, P1306, DOI 10.1126/science.2315699; Callaert J, 2014, SCIENTOMETRICS, V98, P1617, DOI 10.1007/s11192-013-1073-x; Clauset A, 2009, SIAM REV, V51, P661, DOI 10.1137/070710111; DAVIS P, 1984, AM ECON REV, V74, P225; Ding CG, 2017, J INFORMETR, V11, P244, DOI 10.1016/j.joi.2016.12.004; Fleming L, 2004, STRATEGIC MANAGE J, V25, P909, DOI 10.1002/smj.384; Grant J, 2000, BMJ-BRIT MED J, V320, P1107, DOI 10.1136/bmj.320.7242.1107; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; JAFFE AB, 1993, Q J ECON, V108, P577, DOI 10.2307/2118401; Ke Q, 2015, P NATL ACAD SCI USA, V112, P7426, DOI 10.1073/pnas.1424329112; King DA, 2004, NATURE, V430, P311, DOI 10.1038/430311a; Lemley MA, 2012, REV ECON STAT, V94, P817, DOI 10.1162/REST_a_00194; Li D, 2017, SCIENCE, V356, P78, DOI 10.1126/science.aal0010; McMillan GS, 2000, RES POLICY, V29, P1, DOI 10.1016/s0048-7333(99)00030-x; Meyer M, 2002, SCIENTOMETRICS, V54, P193, DOI 10.1023/A:1016057727209; Meyer M, 2000, RES POLICY, V29, P409, DOI 10.1016/S0048-7333(99)00040-2; MOSMANN T, 1983, J IMMUNOL METHODS, V65, P55, DOI 10.1016/0022-1759(83)90303-4; NARIN F, 1992, RES POLICY, V21, P237, DOI 10.1016/0048-7333(92)90018-Y; NARIN F, 1976, J AM SOC INFORM SCI, V27, P25, DOI 10.1002/asi.4630270104; Narin F, 1997, RES POLICY, V26, P317, DOI 10.1016/S0048-7333(97)00013-9; PHILLIPS DP, 1991, NEW ENGL J MED, V325, P1180, DOI 10.1056/NEJM199110173251620; Rosvall M, 2008, P NATL ACAD SCI USA, V105, P1118, DOI 10.1073/pnas.0706851105; Rosvall M, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0008694; Shen HW, 2014, P NATL ACAD SCI USA, V111, P12325, DOI 10.1073/pnas.1401992111; Shwed U, 2010, AM SOCIOL REV, V75, P817, DOI 10.1177/0003122410388488; Sinatra R, 2016, SCIENCE, V354, DOI 10.1126/science.aaf5239; Sinatra R, 2015, NAT PHYS, V11, P791, DOI 10.1038/nphys3494; STIGLER SM, 1994, STAT SCI, V9, P94, DOI 10.1214/ss/1177010655; Thelwall M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064841; Van Noorden R, 2014, NATURE, V514, P550, DOI 10.1038/514550a; van Raan AFJ, 2017, SCIENTOMETRICS, V110, P1123, DOI 10.1007/s11192-016-2215-8; Varin C, 2016, J R STAT SOC A STAT, V179, P1, DOI 10.1111/rssa.12124; Wang DS, 2013, SCIENCE, V342, P127, DOI 10.1126/science.1237825; Williams RS, 2015, CELL, V163, P21, DOI 10.1016/j.cell.2015.09.007 40 8 8 5 40 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. AUG 2018 12 3 706 717 10.1016/j.joi.2018.06.010 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science GR5KS WOS:000442670600011 Green Submitted 2021-10-14 J Ruiz-Castillo, J; Costas, R Ruiz-Castillo, Javier; Costas, Rodrigo Individual and field citation distributions in 29 broad scientific fields JOURNAL OF INFORMETRICS English Article Citation distributions; Individual authors; Scientific fields; Skewness of science CHARACTERISTIC SCORES; IMPACT INDICATORS; STATISTICAL PROPERTIES; INEQUALITY MEASURES; SCIENCE SYSTEM; SCALING RULES; SCALES; UNIVERSALITY; PERFORMANCE; NETWORKS Using an initial dataset consisting of 18.5 million distinct authors and 15 million distinct articles published in the period 2000-2016, which are classified into 29 broad scientific fields, we search for regularities at the individual level for very productive authors with citation distributions of a certain size, and for the existence of a macro-micro relationship between the skewness of a scientific field citation distribution and the characteristics of the individual citation distributions of the authors belonging to the field. Our main results are the following three. Firstly, although the skewness of individual citation distributions varies greatly within each field, their average skewness is of a similar order of magnitude in all fields. Secondly, as in the previous literature, field citation distributions are highly skewed and the degree of skewness is very similar across fields. Thirdly, the skewness of field citation distributions is essentially explained in terms of the average skewness of individual authors, as well as individuals' differences in mean citation rates and the number of publications per author. These results have important conceptual and practical consequences: to understand the skewness of field citation distributions at any aggregate level we must simply explain the skewness of the individual citation distributions of their very productive authors. (C) 2018 Elsevier Ltd. All rights reserved. [Ruiz-Castillo, Javier] Univ Carlos III Madrid, Dept Econ, Madrid, Spain; [Costas, Rodrigo] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands Ruiz-Castillo, J (corresponding author), Univ Carlos III Madrid, Dept Econ, Madrid, Spain. javierruizc8@gmail.com Ruiz-Castillo, Javier/O-8180-2019 Costas, Rodrigo/0000-0002-7465-6462 Spanish MECSpanish Government [ECO2014-55953-P, MDM2014-0431]; MadEco-CM from the Comunidad Autonoma de Madrid [S2015/HUM-3444] J. Ruiz-Castillo acknowledges financial support from the Spanish MEC through grants ECO2014-55953-P and MDM2014-0431, as well as grant MadEco-CM (S2015/HUM-3444) from the Comunidad Autonoma de Madrid. Research assistantship by Patricia Llopis, as well as conversations with Ricardo Mora, and especially Vincent Traag, are gratefully acknowledged. Three referee reports have contributed very much to the improvement of the original version of the paper. All remaining shortcomings are the authors' sole responsibility. 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Informetr. AUG 2018 12 3 868 892 10.1016/j.joi.2018.07.002 25 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science GR5KS WOS:000442670600021 Green Submitted 2021-10-14 J Haunschild, R; Schier, H; Marx, W; Bornman, L Haunschild, Robin; Schier, Hermann; Marx, Werner; Bornman, Lutz Algorithmically generated subject categories based on citation relations: An empirical micro study using papers on overall water splitting JOURNAL OF INFORMETRICS English Article Field categorization; Bibliometrics; Algorithmically constructed classification systems; Subject categories CLASSIFICATION SYSTEMS; SCIENCE; IMPACT; WEB; INDICATORS; KNOWLEDGE One important reason for the use of field categorization in bibliometrics is the necessity to make citation impact of papers published in different scientific fields comparable with each other. Raw citations are normalized by using field-categorization schemes to achieve comparable citation scores. There are different approaches to field categorization available. They can be broadly classified as intellectual and algorithmic approaches. A paper-based algorithmically constructed classification system (ACCS) was proposed which is based on citation relations. Using a few ACCS field-specific clusters, we investigate the discriminatory power of the ACCS. The micro study focusses on the topic 'overall water splitting' and related topics. The first part of the study investigates intellectually whether the ACCS is able to identify papers on overall water splitting reliably and validly. Next, we compare the ACCS with (1) a paper-based intellectual (INSPEC) classification and (2) a journal-based intellectual classification (Web of Science, WoS, subject categories). In the last part of our case study, we compare the average number of citations in selected ACCS clusters (on overall water splitting and related topics) with the average citation count of publications in WoS subject categories related to these clusters. The results of this micro study question the discriminatory power of the ACCS. We recommend larger follow-up studies on broad datasets. (C) 2018 Elsevier Ltd. All rights reserved. [Haunschild, Robin; Schier, Hermann; Marx, Werner] Max Planck Inst Solid State Res, Heisenbergstr 1, D-70569 Stuttgart, Germany; [Bornman, Lutz] Max Planck Gesell, Div Sci & Innovat Studies, Adm Headquarters, Hofgartenstr 8, D-80539 Munich, Germany Haunschild, R (corresponding author), Max Planck Inst Solid State Res, Heisenbergstr 1, D-70569 Stuttgart, Germany. 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MAY 2018 12 2 436 447 10.1016/j.joi.2018.03.004 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science GH8BP WOS:000433891600004 Green Submitted 2021-10-14 J Kuan, CH; Huang, MH; Chen, DZ Kuan, Chung-Huei; Huang, Mu-Hsuan; Chen, Dar-Zen Missing links: Timing characteristics and their implications for capturing contemporaneous technological developments JOURNAL OF INFORMETRICS English Article Missing link; Citation; Bibliographic coupling; Patent citation network; Main path analysis CITATION NETWORK ANALYSIS; MAIN-PATH-ANALYSIS; PATENT CITATIONS; KNOWLEDGE SPILLOVERS; TRAJECTORIES; DISTANCE A missing link in this study refers to a pair of patents whose relatedness is not manifested by one citing the other but implied by their strong bibliographic coupling. By analyzing empirical data, this study discovers that the occurrence of missing links is not coincidental but arises systematically; patent pairs with missing links usually have highly overlapped application processes, whereas those with direct citations more frequently have successive or less overlapped application processes. The missing links thus may capture relatedness between patents that direct citations fail to detect. By applying main path analysis to a network containing 34,083 patents, 155,076 citations, and 9,213 missing links designed to simulate direct citations, this study further finds that the missing links accounting for only approximately 5% of all connections identify patents embodying contemporaneous technological developments, which may evade detection if only direct citations are considered. (C) 2018 Elsevier Ltd. All rights reserved. [Kuan, Chung-Huei] Natl Taiwan Univ Sci & Technol, Grad Inst Patent, 43,Sec 4,Keelung Rd, Taipei 10607, Taiwan; [Huang, Mu-Hsuan] Natl Taiwan Univ, Dept Lib & Informat Sci, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan; [Chen, Dar-Zen] Natl Taiwan Univ, Dept Mech Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan; [Chen, Dar-Zen] Natl Taiwan Univ, Inst Ind Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan Chen, DZ (corresponding author), Natl Taiwan Univ, Dept Mech Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.; Chen, DZ (corresponding author), Natl Taiwan Univ, Inst Ind Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan. maxkuan@mail.ntust.edu.tw; mhhuang@ntu.edu.tw; dzchen@ntu.edu.tw Chen, Dar-Zen/D-1463-2012; Kuan, Chung-Huei/Q-4472-2018 Chen, Dar-Zen/0000-0002-7734-4835; Kuan, Chung-Huei/0000-0002-9059-1021; HUANG, MU-HSUAN/0000-0002-2909-3090 Batagelj V, 1998, CONNECTIONS, V21, P47, DOI DOI 10.1017/CB09780511996368; Batagelj V, 2011, EXPLORATORY SOCIAL N, V27; Batagelj V., 2003, PREPRINT SERIES, V41, P897; Bhupatiraju S, 2012, RES POLICY, V41, P1205, DOI 10.1016/j.respol.2012.03.011; Calero-Medina C, 2008, J INFORMETR, V2, P272, DOI 10.1016/j.joi.2008.09.005; Chen DZ, 2011, J INFORMETR, V5, P400, DOI 10.1016/j.joi.2011.02.005; Chen SH, 2012, TECHNOL FORECAST SOC, V79, P1705, DOI 10.1016/j.techfore.2012.06.005; Colicchia C, 2012, SUPPLY CHAIN MANAG, V17, P403, DOI 10.1108/13598541211246558; Figueiredo O, 2015, J URBAN ECON, V89, P21, DOI 10.1016/j.jue.2015.06.003; Fontana R, 2009, ECON INNOV NEW TECH, V18, P311, DOI 10.1080/10438590801969073; Hall BH, 2005, RAND J ECON, V36, P16; Harris JK, 2011, AM J PREV MED, V41, P105, DOI 10.1016/j.amepre.2011.03.015; HUMMON NP, 1989, SOC NETWORKS, V11, P39, DOI 10.1016/0378-8733(89)90017-8; Jaffe AB, 1998, J IND ECON, V46, P183; Jarneving B, 2007, J INFORMETR, V1, P287, DOI 10.1016/j.joi.2007.07.004; Karvonen M, 2013, TECHNOL FORECAST SOC, V80, P1094, DOI 10.1016/j.techfore.2012.05.006; KESSLER MM, 1963, AM DOC, V14, P10, DOI 10.1002/asi.5090140103; Kim DH, 2016, TECHNOL FORECAST SOC, V105, P140, DOI 10.1016/j.techfore.2016.01.025; Kuusi O, 2007, SCIENTOMETRICS, V70, P759, DOI 10.1007/s11192-007-0311-5; Leydesdorff L, 2014, SCIENTOMETRICS, V98, P1583, DOI 10.1007/s11192-012-0923-2; Li YA, 2014, EUR ECON REV, V71, P152, DOI 10.1016/j.euroecorev.2014.07.005; Liu JS, 2013, OMEGA-INT J MANAGE S, V41, P3, DOI 10.1016/j.omega.2010.12.006; Liu JS, 2012, J AM SOC INF SCI TEC, V63, P528, DOI 10.1002/asi.21692; Lo S. 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Informetr. FEB 2018 12 1 259 270 10.1016/j.joi.2018.01.005 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FZ3ID WOS:000427479800019 2021-10-14 J Thelwall, M; Nevill, T Thelwall, Mike; Nevill, Tamara Could scientists use Altmetric.com scores to predict longer term citation counts? JOURNAL OF INFORMETRICS English Article Altmetrics; Altmetric.com; Mendeley; Scientometrics; Journal impact factors IMPACT FACTOR; METRICS Altmetrics from Altmetric.com are widely used by publishers and researchers to give earlier evidence of attention than citation counts. This article assesses whether Altmetric.com scores are reliable early indicators of likely future impact and whether they may also reflect non-scholarly impacts. A preliminary factor analysis suggests that the main altmetric indicator of scholarly impact is Mendeley reader counts, with weaker news, informational and social network discussion/promotion dimensions in some fields. Based on a regression analysis of Altmetric.com data from November 2015 and Scopus citation counts from October 2017 for articles in 30 narrow fields, only Mendeley reader counts are consistent predictors of future citation impact. Most other Altmetric.com scores can help predict future impact in some fields. Overall, the results confirm that early Altmetric.com scores can predict later citation counts, although less well than journal impact factors, and the optimal strategy is to consider both Altmetric.com scores and journal impact factors. Altmetric.com scores can also reflect dimensions of non-scholarly impact in some fields. (C) 2018 Elsevier Ltd. All rights reserved. [Thelwall, Mike; Nevill, Tamara] Univ Wolverhampton, Wulfruna St, Wolverhampton WV1 1LY, England Thelwall, M (corresponding author), Univ Wolverhampton, Wulfruna St, Wolverhampton WV1 1LY, England. m.thelwall@wlv.ac.uk; T.Nevill@wlv.ac.uk Thelwall, Mike/C-1449-2013 Thelwall, Mike/0000-0001-6065-205X Adams J, 2005, SCIENTOMETRICS, V63, P567, DOI 10.1007/s11192-005-0228-9; Adie E, 2013, LEARN PUBL, V26, P11, DOI 10.1087/20130103; Brody T, 2006, J AM SOC INF SCI TEC, V57, P1060, DOI 10.1002/asi.20373; Bruns SB, 2016, SCIENTOMETRICS, V108, P917, DOI 10.1007/s11192-016-1979-1; Buttliere B, 2017, SCIENTOMETRICS, V111, P219, DOI 10.1007/s11192-017-2246-9; Chen KH, 2015, SCIENTOMETRICS, V102, P97, DOI 10.1007/s11192-014-1420-6; Costas R, 2015, J ASSOC INF SCI TECH, V66, P2003, DOI 10.1002/asi.23309; Cudeck R., 2000, HDB APPL MULTIVARIAT, P265, DOI [10.1016/B978-012691360-6/50011-2, DOI 10.1016/B978-012691360-6/50011-2]; DORA (Declaration on Research Assessment), 2013, SAN FRANC DECL RES A; Eysenbach G, 2011, J MED INTERNET RES, V13, DOI 10.2196/jmir.2012; Fabrigar LR, 1999, PSYCHOL METHODS, V4, P272, DOI 10.1037/1082-989X.4.3.272; Fenner M., 2014, OPENING SCI, P179, DOI DOI 10.1007/978-3-319-00026-8_12; Franceschet M, 2011, J INFORMETR, V5, P275, DOI 10.1016/j.joi.2010.12.002; Haustein S, 2014, IT-INF TECHNOL, V56, P207, DOI 10.1515/itit-2014-1048; HEFCE, 2015, METR TID CORR AN REF; Holmberg KV, 2014, MONOGR ORAL SCI, V24, P1, DOI [10.1159/000358776, 10.1007/s11192-014-1229-3]; Ioannidis JPA, 2005, JAMA-J AM MED ASSOC, V294, P218, DOI 10.1001/jama.294.2.218; Kousha K, 2017, J ASSOC INF SCI TECH, V68, P762, DOI 10.1002/asi.23694; Levitt JM, 2011, INFORM PROCESS MANAG, V47, P300, DOI 10.1016/j.ipm.2010.09.005; Lozano GA, 2012, J AM SOC INF SCI TEC, V63, P2140, DOI 10.1002/asi.22731; MacRoberts MH, 2010, J AM SOC INF SCI TEC, V61, P1, DOI 10.1002/asi.21228; Mingers J, 2008, J OPER RES SOC, V59, P1013, DOI 10.1057/palgrave.jors.2602428; Mohammadi E, 2016, J ASSOC INF SCI TECH, V67, P1198, DOI 10.1002/asi.23477; Neylon C, 2009, PLOS BIOL, V7, DOI 10.1371/journal.pbio.1000242; Piwowar Heather, 2013, Bulletin of the American Society for Information Science and Technology, V39, P10; Priem J., 2010, ALTMETRICS MANIFESTO; Priem J., 2010, P AM SOC INFORM SCI, V47, P1, DOI DOI 10.1002/MEET.14504701201; Primary Research Group Inc, 2017, INT SURV RES U FAC U; Robinson-Garcia N, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183551; Seglen PO, 1997, BRIT MED J, V314, P498; Shema H, 2015, J ASSOC INF SCI TECH, V66, P1136, DOI 10.1002/asi.23239; Stegehuis C, 2015, J INFORMETR, V9, P642, DOI 10.1016/j.joi.2015.06.005; Stern DI, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112520; Sud P, 2014, SCIENTOMETRICS, V98, P1131, DOI 10.1007/s11192-013-1117-2; Thelwall M., EARLY MENDELEY READE; Thelwall M., 2013, CYBERMETRICS, V17; Thelwall M, 2017, SCIENTOMETRICS, V113, P1721, DOI 10.1007/s11192-017-2557-x; Thelwall M, 2016, SCIENTOMETRICS, V108, P337, DOI 10.1007/s11192-016-1973-7; Thelwall M, 2016, J INFORMETR, V10, P336, DOI 10.1016/j.joi.2015.12.007; Thelwall M, 2016, J ASSOC INF SCI TECH, V67, P1962, DOI 10.1002/asi.23501; Thelwall M, 2014, J INFORMETR, V8, P963, DOI 10.1016/j.joi.2014.09.011; Thelwall M, 2015, J ASSOC INF SCI TECH, V66, P1124, DOI 10.1002/asi.23252; Thelwall M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064841; van Raan AFJ, 2004, SCIENTOMETRICS, V59, P467, DOI 10.1023/B:SCIE.0000018543.82441.f1; Waltman L., 2017, ARXIV170302334; Wang J, 2013, SCIENTOMETRICS, V94, P851, DOI 10.1007/s11192-012-0775-9; Wang XW, 2014, SCIENTOMETRICS, V98, P1923, DOI 10.1007/s11192-013-1167-5; West S.G., 1995, STRUCTURAL EQUATION, DOI DOI 10.1016/J.STUEDUC.2012.09.001; Wouters P., 2012, P 17 INT C SCI TECHN, P847; Zahedi Z, 2014, SCIENTOMETRICS, V101, P1491, DOI 10.1007/s11192-014-1264-0 50 39 39 9 84 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. FEB 2018 12 1 237 248 10.1016/j.joi.2018.01.008 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FZ3ID WOS:000427479800017 Green Submitted 2021-10-14 J Berge, L; Scherngell, T; Wanzenbock, I Berge, Laurent; Scherngell, Thomas; Wanzenbock, Iris Bridging centrality as an indicator to measure the 'bridging role' of actors in networks: An application to the European Nanotechnology co-publication network JOURNAL OF INFORMETRICS English Article Bridging centrality; Nanoscience and nanotechnology; Co-publications; R&D networks; Actor positioning; S&T indicators KNOWLEDGE SPILLOVERS; REGIONS In the recent past, we can observe growing interest in STI studies in the notion of positioning indicators, shifting emphasis to actors in the innovation process and their R&D inter-linkages with other actors. In relation to this, we suggest a new approach for assessing the positioning of actors relying on the notion of bridging centrality (BC). Based on the concept of bridging paths, i.e. a set of two links connecting three actors across three different aggregate nodes (e.g. organisations, or regions), we argue that triangulation in networks is a key issue for knowledge recombinations and the extension of an actor's knowledge base. As bridges are most often not empirically observable at the individual level of research teams, we propose an approximated BC measure that provides a flexible framework for dealing with the aggregation problem in positioning actors. Hereby, BC is viewed as a function of an aggregate node's (i) participation intensity in the network, (ii) its openness to other nodes (i.e. the relative outward orientation of network links), and iii) the diversification of links to other nodes. In addition, we propose a generalised version of the BC measure that accounts for different node categories. An illustrative example on the European Nanotechnology co-publication network observed at the level of organisations demonstrates the usefulness and complementary interpretation power in comparison to conventional centrality measures. (c) 2017 Elsevier Ltd. All rights reserved. [Berge, Laurent] Univ Luxembourg, Ctr Res Econ & Management, Luxembourg, Luxembourg; [Scherngell, Thomas] Austrian Inst Technol, Ctr Innovat Syst & Policy, Seibersdorf, Austria; [Wanzenbock, Iris] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands Berge, L (corresponding author), Univ Luxembourg, Ctr Res Econ & Management, Luxembourg, Luxembourg.; Scherngell, T (corresponding author), Austrian Inst Technol, Ctr Innovat Syst & Policy, Seibersdorf, Austria.; Wanzenbock, I (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands. laurent.berge@uni.lu; thomas.scherngell@ait.ac.at; i.wanzenbock@uu.nl Scherngell, Thomas/0000-0003-4592-4103; Berge, Laurent/0000-0003-2736-1917 Austrian National Bank, Jubilaumsfondsprojekt [16301] The work in this study has benefited significantly from the provision of original data via the RISIS (Research Infrastructure for Research and Innovation Policy Studies) infrastructure (risis.eu), drawing on data from the Nano S&T Dynamics database part of RISIS, owned and maintained by Universite Paris-Est Marne-la-Vallee (UPEM). Specifically we are grateful to Lionel Villard and Philippe Laredo from UPEM in terms of data provision, and to two anonymous reviewers for useful comments to improve the manuscript. Partly this work has been funded by the Austrian National Bank, Jubilaumsfondsprojekt No. 16301. 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Most of his contributions over the decades are found to have had their origins very early in his career. Chemistry and chemical information launched his career and led to his involvement with medical information, computing technology, and the field of documentation. Content page products provided the foundation to his business, and the singular invention of a citation index for science, his most far reaching achievement, led to many spin offs including journal analyses, historical charting, evaluation, and science mapping. His idea for a science newspaper was derived from his early work in current awareness. The paper concludes with discussion of his management style, approach to business and philanthropy, and how they shed light on his complex personality and motivations. [Small, Henry] SciTech Strategies Inc, 105 Rolling Rd, Bala Cynwyd, PA 19004 USA Small, H (corresponding author), SciTech Strategies Inc, 105 Rolling Rd, Bala Cynwyd, PA 19004 USA. hsmall@mapofscicnce.com GARFIELD E, PUBLICATION LIST 1 7 7 0 18 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. AUG 2017 11 3 599 612 10.1016/j.joi.2017.04.006 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FG6UG WOS:000410528900001 2021-10-14 J Alhoori, H; Furuta, R Alhoori, Hamed; Furuta, Richard Recommendation of scholarly venues based on dynamic user interests JOURNAL OF INFORMETRICS English Article Recommender system; User modeling; Collaborative filtering; Scholarly communication; Social media; Altmetrics JOURNALS; COMMUNITIES; KNOWLEDGE; FRAMEWORK The ever-growing number of venues publishing academic work makes it difficult for researchers to identify venues that publish data and research most in line with their scholarly interests. A solution is needed, therefore, whereby researchers can identify information dissemination pathways in order to both access and contribute to an existing body of knowledge. In this study, we present a system to recommend scholarly venues rated in terms of relevance to a given researcher's current scholarly pursuits and interests. We collected our data from an academic social network and modeled researchers' scholarly reading behavior in order to propose a new and adaptive implicit rating technique for venues. We present a way to recommend relevant, specialized scholarly venues using these implicit ratings that can provide quick results, even for new researchers without a publication history and for emerging scholarly venues that do not yet have an impact factor. We performed a large-scale experiment with real data to evaluate the current scholarly recommendation system and showed that our proposed system achieves better results than the baseline. The results provide important up-to-the-minute signals that compared with post-publication usage-based metrics represent a closer reflection of a researcher's interests. (C) 2017 Elsevier Ltd. All rights reserved. [Alhoori, Hamed] Northern Illinois Univ, De Kalb, IL 60115 USA; [Alhoori, Hamed] Argonne Natl Lab, Argonne, IL 60439 USA; [Furuta, Richard] Texas A&M Univ, College Stn, TX 77843 USA Alhoori, H (corresponding author), Northern Illinois Univ, De Kalb, IL 60115 USA. alhoori@niu.edu Alhoori, Hamed/J-6011-2019 Alhoori, Hamed/0000-0002-4733-6586 NPRP grant from the Qatar National Research Fund (a member of Qatar Foundation) [4-029-1-007]; Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of EnergyUnited States Department of Energy (DOE) [DE-AC02-06CH11357] This publication was made possible by NPRP grant # 4-029-1-007 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. This work was supported in part by the Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357. Alhoori Hamed, 2013, Research and Advanced Technology for Digital Libraries. International Conference on Theory and Practice of Digital Libraries, TPDL 2013. 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FEB 2017 11 1 117 120 10.1016/j.joi.2016.11.007 4 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EO3SM WOS:000396614600009 Green Submitted 2021-10-14 J Franceschini, F; Maisano, D; Mastrogiacomo, L Franceschini, Fiorenzo; Maisano, Domenico; Mastrogiacomo, Luca Empirical analysis and classification of database errors in Scopus and Web of Science JOURNAL OF INFORMETRICS English Article Data accuracy; Database error; Omitted citation; Error classification; Phantom citation; Scopus; Web of Science GOOGLE SCHOLAR; OMITTED CITATIONS; BIBLIOMETRIC STATISTICS; ACCURACY; IMPACT; ERRORS/HORRORS; PUBLICATION; RECORDS; MUSEUM In the last decade, a growing number of studies focused on the qualitative/quantitative analysis of bibliometric-database errors. Most of these studies relied on the identification and (manual) examination of relatively limited samples of errors. Using an automated procedure, we collected a large corpus of more than 10,000 errors in the two multidisciplinary databases Scopus and Web of Science (WoS), mainly including articles in the Engineering-Manufacturing field. Based on the manual examination of a portion (of about 10%) of these errors, this paper provides a preliminary analysis and classification, identifying similarities and differences between Scopus and WoS. The analysis reveals interesting results, such as: (i) although Scopus seems more accurate than WoS, it tends to forget to index more papers, causing the loss of the relevant citations given/obtained, (ii) both databases have relatively serious problems in managing the so-called Online-First articles, and (iii) lack of correlation between databases, regarding the distribution of the errors in several error categories. The description is supported by practical examples concerning a variety of errors in the Scopus and WoS databases. (C) 2016 Elsevier Ltd. All rights reserved. [Franceschini, Fiorenzo; Maisano, Domenico; Mastrogiacomo, Luca] Politecn Torino, DIGEP, Dept Management & Prod Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy Franceschini, F (corresponding author), Politecn Torino, DIGEP, Dept Management & Prod Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy. fiorenzo.franceschini@polito.it; domenico.maisano@polito.it; luca.mastrogiacomo@polito.it MAISANO, Domenico A/B-4301-2010; Franceschini, Fiorenzo/C-2583-2013 Franceschini, Fiorenzo/0000-0001-7131-4419; Mastrogiacomo, Luca/0000-0002-8454-5918; MAISANO, Domenico/0000-0002-8154-4469 Archambault E, 2009, J AM SOC INF SCI TEC, V60, P1320, DOI 10.1002/asi.21062; Buchanan RA, 2006, COLL RES LIBR, V67, P292, DOI 10.5860/crl.67.4.292; Falagas ME, 2008, ARCH IMMUNOL THER EX, V56, P223, DOI 10.1007/s00005-008-0024-5; Franceschini F, 2016, SCIENTOMETRICS, V107, P321, DOI 10.1007/s11192-016-1867-8; Franceschini F, 2016, J INFORMETR, V10, P174, DOI 10.1016/j.joi.2015.11.006; Franceschini F, 2015, SCIENTOMETRICS, V103, P1083, DOI 10.1007/s11192-015-1583-9; Franceschini F, 2015, SCIENTOMETRICS, V102, P2181, DOI 10.1007/s11192-014-1503-4; Franceschini F, 2014, J INFORMETR, V8, P751, DOI 10.1016/j.joi.2014.07.003; Franceschini F, 2013, J AM SOC INF SCI TEC, V64, P2149, DOI 10.1002/asi.22898; Garcia-Perez MA, 2010, J AM SOC INF SCI TEC, V61, P2070, DOI 10.1002/asi.21372; Harzing AW, 2016, SCIENTOMETRICS, V106, P787, DOI 10.1007/s11192-015-1798-9; Haustein S, 2015, PRO INT CONF SCI INF, P1170; Hildebrandt A. 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Informetr. NOV 2016 10 4 933 953 10.1016/j.joi.2016.07.003 21 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EE4CH WOS:000389548900004 Green Accepted 2021-10-14 J Hu, XJ; Rousseau, R Hu, Xiaojun; Rousseau, Ronald Scientific influence is not always visible: The phenomenon of under-cited influential publications JOURNAL OF INFORMETRICS English Article Under-cited publications; Nobel prize winners; Follow-up research; Promoters of influential research RESTRICTION-ENDONUCLEASE; RESEARCH PERFORMANCE; DNA-POLYMERASE; HAEMOPHILUS-INFLUENZAE; NUCLEAR-REACTIONS; STARS; INDICATORS; CITATIONS; FRAGMENTS; SEQUENCE In this submission we introduce the notion of under-cited influential publications and show that these publications are like "wake-up switches" for significant follow-up research. To be considered an under-cited influential article we require an article to meet three requirements. One is on the level of received number of citations (first generation citations), while the two other ones take subsequent citation generations into account. In general terms these three conditions are: 1) The article is reasonably well-cited (a basic requirement to be influential) 2) Citations of citations (second generation citations) are rather highly cited, so that the original one is influential in an indirect way (a more refined token of influence); 3) Given condition two, the article received fewer citations than expected (being under cited). We claim that the phenomenon of under-cited influential publications is important and should receive more attention. Moreover, one may say that under-cited influential publications belong to the group of truly foundational scientific discoveries acting as promoters of influential research as shown by significant follow-up research. (C) 2016 Elsevier Ltd. All rights reserved. [Hu, Xiaojun] Zhejiang Univ, Sch Med, Hangzhou 310058, Zhejiang, Peoples R China; [Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, B-3000 Leuven, Belgium; [Rousseau, Ronald] Univ Antwerp, Fac Social Sci, B-2000 Antwerp, Belgium Rousseau, R (corresponding author), Katholieke Univ Leuven, Dept Math, B-3000 Leuven, Belgium. xjhu@zju.edu.cn; ronald.rousseau@kuleuven.be Rousseau, Ronald/0000-0002-3252-2538 National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [71573225] This work is supported by a grant of the National Natural Science Foundation of China (NSFC grant No. 71573225). The authors thank the reviewers for useful observations leading to a better article. They also thank Yue Ting and Yang Liying (Library of CAS, Beijing, China) for helpful information. 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Informetr. NOV 2016 10 4 1079 1091 10.1016/j.joi.2016.10.002 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EE4CH WOS:000389548900014 2021-10-14 J Laakso, M; Bjork, BC Laakso, Mikael; Bjork, Bo-Christer Hybrid open access-A longitudinal study JOURNAL OF INFORMETRICS English Article Open access; Scientific publishing; Business models; Science policy JOURNALS This study estimates the development of hybrid open access (OA), i.e. articles published openly on the web within subscription-access journals. Included in the study are the five largest publishers of scholarly journals; Elsevier, Springer, Wiley-Blackwell, Taylor & Francis, and Sage. Since no central indexing or standardized metadata exists for identifying hybrid OA an explorative bottom-up methodological approach was developed. The individual search and filtering features of each publisher website and a-priori availability of data were leveraged to the extent possible. The results indicate a strong sustained growth in the volume of articles published as hybrid OA during 2007 (666 articles) to 2013 (13994 articles). The share of hybrid articles was at 3.8% of total published articles for the period of 2011-2013 for journals with at least one identified hybrid OA article. Journals within the Scopus discipline categorization of Health and Life Sciences, in particular the field of Medicine, were found to be among the most frequent publishers of hybrid OA content. The study surfaces the many methodological challenges involved in obtaining metrics regarding hybrid OA, a growing business for journal publishers as science policy pressures for reduced access barriers to research publications. (C) 2016 The Authors. Published by Elsevier Ltd. [Laakso, Mikael; Bjork, Bo-Christer] Hanken Sch Econ, Dept Management & Org, Informat Syst Sci, POB 479 Arkadiankatu 22, FI-00101 Helsinki, Finland Laakso, M (corresponding author), Hanken Sch Econ, Dept Management & Org, Informat Syst Sci, POB 479 Arkadiankatu 22, FI-00101 Helsinki, Finland. mikael.laakso@hanken.fi Laakso, Mikael/0000-0003-3951-7990 Archambault E., 2014, PROPORTION OPEN ACCE; Bjork B.-C., 2014, DEV EFFECTIVE MARKET; Bjork BC, 2014, J ASSOC INF SCI TECH, V65, P237, DOI 10.1002/asi.22963; Bjork BC, 2012, J AM SOC INF SCI TEC, V63, P1496, DOI 10.1002/asi.22709; Crawford Walt, 2015, GOLD OA LANDSCAPE 20; Dallmeier-Tiessen S., 2010, OPEN ACCESS PUBLISHI; Finch J., 2012, ACCESSIBILITY SUSTAI; Gargouri Y, 2012, ARXIV12063664V1; Huang DW, 2016, J INFORMETR, V10, P329, DOI 10.1016/j.joi.2016.02.002; Jabref, 2014, JABREF IS OP SOURC B; Journalmetrics, 2016, SOURC NORM PAP SNIP; Jubb M., 2015, MONITORING TRANSITIO; Kelly B, 2015, P 19 INT C EL PUBL N, P102; Laakso M, 2013, J AM SOC INF SCI TEC, V64, P1323, DOI 10.1002/asi.22856; Laakso M, 2012, BMC MED, V10, DOI 10.1186/1741-7015-10-124; Mueller-Langer F., 2014, HYBRID OPEN ACCESS C, P14; Pinfield S., 2015, J ASS INFORM SCI TEC; Prosser DC, 2003, LEARN PUBL, V16, P163, DOI 10.1087/095315103322110923; Reckling F., 2015, AUSTRIAN SCI FUND FW, DOI 10.6084/m9.figshare.988754.v4; Romeu C., 2014, SCOAP3 INITIATIVE OP, DOI [10.2314/CERN/C26P.W9DT, DOI 10.2314/CERN/C26P.W9DT]; Scopus, 2014, J TITLE LIST; Sotudeh H, 2015, SCIENTOMETRICS, V104, P581, DOI 10.1007/s11192-015-1607-5; Suber P., 2012, OPEN ACCESS; Swan A., 2015, ARXIV150402261V1; Velterop J, 2007, Z BIBL BIBL, V54, P268; Walker TJ, 1998, AM SCI, V86, P463, DOI 10.1511/1998.37.803; Wang Q, 2016, J INFORMETR, V10, P347, DOI 10.1016/j.joi.2016.02.003; Weber D., 2009, PREPRINT 28 33 33 0 22 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. NOV 2016 10 4 919 932 10.1016/j.joi.2016.08.002 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EE4CH WOS:000389548900003 hybrid 2021-10-14 J Onodera, N Onodera, Natsuo Properties of an index of citation durability of an article JOURNAL OF INFORMETRICS English Article Citation durability; Citation count; Article characteristics; Statistical analysis HIGHLY CITED PAPERS; SLEEPING-BEAUTIES; SCIENTIFIC LITERATURE; DELAYED RECOGNITION; SCIENCE; OBSOLESCENCE; PATTERNS; IMPACT; INDICATORS; ATTENTION Citation Delay (D) introduced by Wang et al. (2015) is a measure of citation durability of articles reflecting information on the entire citation life-time. The characteristics of the measure and relationships of it to other article characteristics are examined in the six different fields using the citation data over 15 years of the articles published in 2000 in these fields. D distributes normally with good approximation and is not so much dependent on the subject field as the citation count. Although articles with higher D (more lately cited) tend to gain more citations in their life-time, this relationship is not linear but the mean of citations reaches a maximum at a certain value of D. Multiple regression analysis explaining D showed that articles with a higher Price index (i.e. citing more recent references) will receive most of the citations relatively earlier and that there is a weak tendency that articles containing more figures are cited earlier and those containing more tables are cited later. A seemingly contradictory result is found that more highly cited articles tend to have higher citation durability in individual journals while high-impact journals tend to include more articles with lower citation durability in higher proportions. (C) 2016 Elsevier Ltd. All rights reserved. [Onodera, Natsuo] Univ Tsukuba, Tsukuba, Ibaraki 3058550, Japan Onodera, N (corresponding author), 587-3,Konakadai Cho,Inage Ku, Chiba 2630044, Japan. nt.onodera@y5.dion.ne.jp Onodera, Natsuo/AAI-5600-2020 Onodera, Natsuo/0000-0002-2052-4712 Japan Society for the Promotion of Science (JSPS) KAKENHIMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research (KAKENHI) [18300080] This work was supported by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number 18300080. The author wishes to thank Ms. Yasuko Sato for her help in English composition. The author appreciates the comments by two reviewers, which are very helpful for deepening the discussion in this paper. Especially, Subsections Subsection 5.6 and Subsection 5.7 were added based on their suggestions. In addition, following the advice from Editor-in-Chief of this journal (Dr. Ludo Waltman), the author adopted the idea of estimation statistics in the statistical analyses rather than statistical significance tests. 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Informetr. NOV 2016 10 4 981 1004 10.1016/j.joi.2016.07.001 24 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EE4CH WOS:000389548900007 Green Submitted 2021-10-14 J Malesios, C Malesios, C. Measuring the robustness of the journal h-index with respect to publication and citation values: A Bayesian sensitivity analysis JOURNAL OF INFORMETRICS English Article Journal h-index; Bayesian inference; Sensitivity analysis; Robustness; Citations; Publications HIRSCH-INDEX; SCIENCE; MODELS Braun, Glanzel, and Schubert (2006) recommended using the h-index as an alternative to the journal impact factor (IF) to qualify journals. In this paper, a Bayesian-based sensitivity analysis is performed with the aid of mathematical models to examine the behavior of the journal h-index to changes in the publication/citation counts of journals. Sensitivity of the h-index was most apparent for changes in the number of citations, revealing similar patterns of behavior for almost all models and independently to the field of research. In general, the h-index was found to be robust to changes in citations up to approximately the 25th percentile of the citation distribution, inflating its value afterwards. (C) 2016 Elsevier Ltd. All rights reserved. [Malesios, C.] Democritus Univ Thrace, Dept Rural Dev, 193 Pantazidou Str, Orestiada, Greece Malesios, C (corresponding author), Democritus Univ Thrace, Dept Rural Dev, 193 Pantazidou Str, Orestiada, Greece. malesios@agro.duth.gr Malesios, Chrisovalantis/C-6659-2018 Malesios, Chrisovalantis/0000-0003-0378-3939 Bernardo J. 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Informetr. AUG 2016 10 3 719 731 10.1016/j.joi.2016.03.002 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DU6HK WOS:000382314900003 Green Accepted, Green Submitted 2021-10-14 J Kim, J; Kim, J Kim, Jinseok; Kim, Jinmo Rethinking the comparison of coauthorship credit allocation schemes JOURNAL OF INFORMETRICS English Article Coauthor order; Coauthorship credit; Author contribution; Bibliometrics; Empirical validation AUTHORSHIP; CONSEQUENCES; PUBLICATIONS; PROMOTION; NUMBER; TEAMS This paper compares Fractional, Geometric, Arithmetic, Harmonic, and Network-Based schemes for allocating coauthorship credits. Each scheme is operationalized to be flexible in producing credit distribution by changing parameters, and to incorporate a special situation where the first and corresponding authors are assigned equal credits. For testing each scheme, empirical datasets from economics, marketing, psychology, chemistry, and medicine, were collected and errors in how each scheme approximates empirical data was measured. Results show that Harmonic scheme performs best overall, contrary to some claims of preceding studies in support of Harmonic or Network-Based models. The performance of a scheme, however, seems to heavily depend on empirical datasets and flexibility of the scheme, not on its innate feature. This study suggests that the comparison of coauthorship credit allocation schemes should be taken with care. (C) 2015 Elsevier Ltd. All rights reserved. [Kim, Jinseok] Univ Illinois, Grad Sch Lib & Informat Sci, Champaign, IL 61820 USA; [Kim, Jinmo] Korea Financial Supervisory Serv, Dept Bank Examinat, Seoul 150743, South Korea Kim, J (corresponding author), Univ Illinois, Grad Sch Lib & Informat Sci, 501 E Daniel St, Champaign, IL 61820 USA. jkim362@illinois.edu; jinmo@fss.or.kr Kim, Jinseok/0000-0001-6481-2065 Abramo G, 2013, J INFORMETR, V7, P198, DOI 10.1016/j.joi.2012.11.003; Beasley BW, 2003, J GEN INTERN MED, V18, P705, DOI 10.1046/j.1525-1497.2003.20639.x; Browne M.W., 1993, SOCIOL METHOD RES, P136; Carbone V., 2011, ARXIV11060114; Du J, 2013, SCIENTOMETRICS, V96, P277, DOI 10.1007/s11192-012-0905-4; Egghe L, 2000, J AM SOC INFORM SCI, V51, P145, DOI 10.1002/(SICI)1097-4571(2000)51:2<145::AID-ASI6>3.0.CO;2-9; Frandsen TF, 2010, J INFORMETR, V4, P608, DOI 10.1016/j.joi.2010.06.010; Hagen NT, 2013, J INFORMETR, V7, P784, DOI 10.1016/j.joi.2013.06.005; Hagen NT, 2010, SCIENTOMETRICS, V84, P785, DOI 10.1007/s11192-009-0129-4; He B, 2012, J INFORMETR, V6, P359, DOI 10.1016/j.joi.2012.01.001; Hu XJ, 2009, J AM SOC INF SCI TEC, V60, P2378, DOI 10.1002/asi.21164; Kim J., 2015, J ASS INFORM SCI TEC; Kim J, 2014, SCIENTOMETRICS, V101, P587, DOI 10.1007/s11192-014-1253-3; LINDSEY D, 1980, SOC STUD SCI, V10, P145, DOI 10.1177/030631278001000202; Liu XZ, 2012, J INFORMETR, V6, P557, DOI 10.1016/j.joi.2012.05.002; Lukovits I, 1995, SOC INDIC RES, V36, P91, DOI 10.1007/BF01079398; Maciejovsky B, 2009, MARKET SCI, V28, P589, DOI 10.1287/mksc.1080.0406; Marusic A, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023477; Mattsson P, 2011, SCIENTOMETRICS, V87, P99, DOI 10.1007/s11192-010-0310-9; Oppenheim C, 1998, J AM SOC INFORM SCI, V49, P482, DOI 10.1002/(SICI)1097-4571(19980415)49:5<482::AID-ASI11>3.0.CO;2-H; PRICE DD, 1981, SCIENCE, V212, P986, DOI 10.1126/science.212.4498.986-a; Thomas PA, 2004, ACAD MED, V79, P258, DOI 10.1097/00001888-200403000-00013; Trueba FJ, 2004, SCIENTOMETRICS, V60, P181, DOI 10.1023/B:SCIE.0000027792.09362.3f; VanHooydonk G, 1997, J AM SOC INFORM SCI, V48, P944, DOI 10.1002/(SICI)1097-4571(199710)48:10<944::AID-ASI8>3.3.CO;2-K; VINKLER P, 1993, SCIENTOMETRICS, V26, P213, DOI 10.1007/BF02016801; Vinkler P, 2000, CURR SCI INDIA, V79, P602; Waltman L, 2012, J INFORMETR, V6, P700, DOI 10.1016/j.joi.2012.07.008; Wren JD, 2007, EMBO REP, V8, P988, DOI 10.1038/sj.embor.7401095; Wuchty S, 2007, SCIENCE, V316, P1036, DOI 10.1126/science.1136099 29 16 16 0 19 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JUL 2015 9 3 667 673 10.1016/j.joi.2015.07.005 7 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CQ9CB WOS:000360907400022 2021-10-14 J Peng, TQ Peng, Tai-Quan Assortative mixing, preferential attachment, and triadic closure: A longitudinal study of tie-generative mechanisms in journal citation networks JOURNAL OF INFORMETRICS English Article Homophily; Preferential attachment; Triadic closure; ERGM P-ASTERISK MODELS; SOCIAL NETWORKS; BIRDS; INTERDISCIPLINARITY; INDICATORS; CENTRALITY; EMERGENCE; EVOLUTION; DYNAMICS; FEATHER This study reveals the roles of three tie-generative mechanisms, namely, assortative mixing, preferential attachment, and triadic closure, in forming citation links in journals through the exponential random graph modeling approach. The study also adopts a longitudinal design to examine how the roles of the three mechanisms evolve over time. The data involve citation exchanges in Internet research among 680 journals in 12 subject areas from 2000 to 2013. Assortative mixing by discipline and publication foci is a significant tie-generative mechanism in journal citation networks. The magnitude of as sortative mixing by discipline remains stable over time, whereas that by publication foci declines over time. Journals in Internet research demonstrate an increasing preference for influential journals to form citation links over time. The indegree of journals does not exert a significant impact on citation link formation among journals, whereas the outdegree of journals imposes a significantly negative impact on citation link formation among journals. Triadic closure is an important force that facilitates the formation of citation links among journals. The findings of this study improve our knowledge of the organizing principles that underlie journal citation networks and advance our understanding of the production process of scientific knowledge in Internet research. (c) 2015 Elsevier Ltd. All rights reserved. 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APR 2015 9 2 250 262 10.1016/j.joi.2015.02.002 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CE2JA WOS:000351640700002 2021-10-14 J Waltman, L Waltman, Ludo Untitled JOURNAL OF INFORMETRICS English Editorial Material Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands Waltman, L (corresponding author), Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands. waltmanlr@cwts.leidenuniv.nl Waltman, Ludo/B-5561-2008 Waltman, Ludo/0000-0001-8249-1752 Egghe L, 2012, J INFORMETR, V6, P422, DOI 10.1016/j.joi.2012.02.003; Frey BS, 2003, PUBLIC CHOICE, V116, P205, DOI 10.1023/A:1024208701874 2 0 0 0 14 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JAN 2015 9 1 A3 A6 10.1016/j.joi.2015.01.008 4 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CB6XO WOS:000349770500002 2021-10-14 J Cerovsek, T; Mikos, M Cerovsek, Tomo; Mikos, Matjaz A comparative study of cross-domain research output and citations: Research impact cubes and binary citation frequencies JOURNAL OF INFORMETRICS English Article h-Index; Fields of science; Research impact cube; Binary citation index; Scientometrics; Lorenz curves H-INDEX; BIBLIOMETRIC INDICATORS; HUMANITIES; JOURNALS; SCIENCE Across the various scientific domains, significant differences occur with respect to research publishing formats, frequencies and citing practices, the nature and organisation of research and the number and impact of a given domain's academic journals. Consequently, differences occur in the citations and h-indices of the researchers. This paper attempts to identify cross-domain differences using quantitative and qualitative measures. The study focuses on the relationships among citations, most-cited papers and h-indices across domains and for research group sizes. The analysis is based on the research output of approximately 10,000 researchers in Slovenia, of which we focus on 6536 researchers working in 284 research group programmes in 2008-2012. As comparative measures of cross-domain research output, we propose the research impact cube (RIC) representation and the analysis of most-cited papers, highest impact factors and citation distribution graphs (Lorenz curves). The analysis of Lotka's model resulted in the proposal of a binary citation frequencies (BCF) distribution model that describes well publishing frequencies. The results may be used as a model to measure, compare and evaluate fields of science on the global, national and research community level to streamline research policies and evaluate progress over a definite time period. (C) 2013 Elsevier Ltd. All rights reserved. [Cerovsek, Tomo; Mikos, Matjaz] Univ Ljubljana, Fac Civil & Geodet Engn, Ljubljana 1000, Slovenia Cerovsek, T (corresponding author), Univ Ljubljana, Fac Civil & Geodet Engn, Jamova 2, Ljubljana 1000, Slovenia. 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JAN 2014 8 1 147 161 10.1016/j.joi.2013.11.004 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AB4PH WOS:000331771900014 2021-10-14 J Leydesdorff, L; Bornmann, L; Marx, W; Milojevic, S Leydesdorff, Loet; Bornmann, Lutz; Marx, Werner; Milojevic, Stasa Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics, Journal of Informetrics, and a relevant subset of JASIST JOURNAL OF INFORMETRICS English Article Cited references; Historiography; Citation classics; iMetrics SCIENTIFIC LITERATURE; CITATION INDEXES; EMERGENCE; SCIENCE; AUTHORS We have developed a (freeware) routine for "Referenced Publication Years Spectroscopy" (RPYS) and apply this method to the historiography of "iMetrics," that is, the junction of the journals Scientometrics, Informetrics, and the relevant subset of JASIST (approx. 20%) that shapes the intellectual space for the development of information metrics (bibliometrics, scientometrics, informetrics, and webometrics). The application to information metrics (our own field of research) provides us with the opportunity to validate this methodology, and to add a reflection about using citations for the historical reconstruction. The results show that the field is rooted in individual contributions of the 1920s to 1950s (e.g., Alfred J. Lotka), and was then shaped intellectually in the early 1960s by a confluence of the history of science (Derek de Solla Price), documentation (e.g., Michael M. Kessler's "bibliographic coupling"), and "citation indexing" (Eugene Garfield). Institutional development at the interfaces between science studies and information science has been reinforced by the new journal Inforrnetrics since 2007. In a concluding reflection, we return to the question of how the historiography of science using algorithmic means in terms of citation practices can be different from an intellectual history of the field based, for example, on reading source materials. (C) 2013 Elsevier Ltd. All rights reserved. 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JAN 2014 8 1 25 28 10.1016/j.joi.2013.10.002 4 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AB4PH WOS:000331771900003 Green Submitted 2021-10-14 J Bornmann, L; Leydesdorff, L; Mutz, R Bornmann, Lutz; Leydesdorff, Loet; Mutz, Ruediger The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits JOURNAL OF INFORMETRICS English Article Percentile; Percentile rank class; Citation impact; Reference set; Normalized citation impact RESEARCH PERFORMANCE; RELATIVE INDICATORS; PLOTTING POSITIONS; PUBLICATION; EXCELLENCE; CHARTS; IMPACT Percentiles have been established in bibliometrics as an important alternative to mean-based indicators for obtaining a normalized citation impact of publications. Percentiles have a number of advantages over standard bibliometric indicators used frequently: for example, their calculation is not based on the arithmetic mean which should not be used for skewed bibliometric data. This study describes the opportunities and limits and the advantages and disadvantages of using percentiles in bibliometrics. We also address problems in the calculation of percentiles and percentile rank classes for which there is not (yet) a satisfactory solution. It will be hard to compare the results of different percentile-based studies with each other unless it is clear that the studies were done with the same choices for percentile calculation and rank assignment. (C) 2012 Elsevier Ltd. All rights reserved. [Bornmann, Lutz] Max Planck Gesell, Div Sci & Innovat Studies, D-80539 Munich, Germany; [Leydesdorff, Loet] Univ Amsterdam, ASCoR, NL-1012 CX Amsterdam, Netherlands; [Mutz, Ruediger] ETH Zurich Swiss Fed Inst Technol Zurich, CH-8001 Zurich, Switzerland Bornmann, L (corresponding author), Max Planck Gesell, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany. bornmann@gv.mpg.de; loet@leydesdorff.net; mutz@gess.ethz.ch Leydesdorff, Loet/E-2903-2010; Mutz, Ruediger/A-2226-2009; Mutz, Rudiger/AAA-9629-2021; Bornmann, Lutz/A-3926-2008 Leydesdorff, Loet/0000-0002-7835-3098; Mutz, Rudiger/0000-0003-3345-6090; Bornmann, Lutz/0000-0003-0810-7091 Blom G., 1958, STAT ESTIMATES TRANS; Bornmann L., J AM SOC IN IN PRESS; Bornmann L, 2008, J DOC, V64, P45, DOI 10.1108/00220410810844150; Bornmann L, 2012, J INFORMETR, V6, P333, DOI 10.1016/j.joi.2011.11.006; Bornmann L, 2011, J R STAT SOC A STAT, V174, P857, DOI 10.1111/j.1467-985X.2011.00689.x; Bornmann L, 2011, J AM SOC INF SCI TEC, V62, P1954, DOI 10.1002/asi.21611; Bornmann L, 2011, J INFORMETR, V5, P228, DOI 10.1016/j.joi.2010.10.009; Cox N. 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A family-tree based upon the new definitions provides new insights into the relationships between the standard indices, and empty boxes in the family-tree may inspire design of new indices. (c) 2012 Elsevier Ltd. All rights reserved. Lublin Univ Technol, Lublin, Poland Kosmulski, M (corresponding author), Lublin Univ Technol, Lublin, Poland. mkosmuls@abo.fi Kosmulski, Marek/F-2326-2010 Kosmulski, Marek/0000-0002-9698-7190 Bornmann L, 2011, J INFORMETR, V5, P346, DOI 10.1016/j.joi.2011.01.006; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Franceschini F, 2012, SCIENTOMETRICS, V92, P621, DOI 10.1007/s11192-011-0570-z; Fu HZ, 2012, J COLLOID INTERF SCI, V379, P148, DOI 10.1016/j.jcis.2012.04.051; Garcia-Perez MA, 2009, SCIENTOMETRICS, V81, P779, DOI 10.1007/s11192-009-2290-1; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Jin BH, 2007, CHINESE SCI BULL, V52, P855, DOI 10.1007/s11434-007-0145-9; Kosmulski M., 2006, I BIBLIOMETRIC INDIC, P31; Kosmulski M., 2006, ISSI NEWSLETTER, V2, P4; Kosmulski M, 2012, J INFORMETR, V6, P451, DOI 10.1016/j.joi.2012.03.004; Kosmulski M, 2011, J INFORMETR, V5, P481, DOI 10.1016/j.joi.2011.03.001; Pilc A., 2002, WPROST, V14; STEVENS SS, 1946, SCIENCE, V103, P677, DOI 10.1126/science.103.2684.677; Tol RSJ, 2009, SCIENTOMETRICS, V80, P317, DOI 10.1007/s11192-008-2079-7; Vinkler P, 2010, SCIENTOMETRICS, V82, P461, DOI 10.1007/s11192-010-0182-z; Wohlin C, 2009, SCIENTOMETRICS, V81, P521, DOI 10.1007/s11192-008-2155-z; Wu Q, 2010, J AM SOC INF SCI TEC, V61, P609, DOI 10.1002/asi.21276 17 10 10 1 32 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. 2013 7 2 313 317 10.1016/j.joi.2012.12.002 5 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 136PY WOS:000318377100008 2021-10-14 J Silva, FN; Rodrigues, FA; Oliveira, ON; Costa, LD Silva, F. N.; Rodrigues, F. A.; Oliveira, O. N., Jr.; Costa, L. da F. Quantifying the interdisciplinarity of scientific journals and fields JOURNAL OF INFORMETRICS English Article Scientometry; Complex networks; Subjective phenomena quantification; Interdisciplinarity; Citation networks COLLABORATION NETWORKS; COMPLEX NETWORKS; DIVERSITY; ALGORITHM; SCIENCE; CENTRALITY; INDEX There is an overall perception of increased interdisciplinarity in science, but this is difficult to confirm quantitatively owing to the lack of adequate methods to evaluate subjective phenomena. This is no different from the difficulties in establishing quantitative relationships in human and social sciences. In this paper we quantified the interdisciplinarity of scientific journals and science fields by using an entropy measurement based on the diversity of the subject categories of journals citing a specific journal. The methodology consisted in building citation networks using the Journal Citation Reports (R) database, in which the nodes were journals and edges were established based on citations among journals. The overall network for the 11-year period (1999-2009) studied was small-world and followed a power-law with exponential cutoff distribution with regard to the in-strength. Upon visualizing the network topology an overall structure of the various science fields could be inferred, especially their interconnections. We confirmed quantitatively that science fields are becoming increasingly interdisciplinary, with the degree of interdisplinarity (i.e. entropy) correlating strongly with the in-strength of journals and with the impact factor. (c) 2013 Elsevier Ltd. All rights reserved. [Silva, F. N.; Oliveira, O. N., Jr.; Costa, L. da F.] Univ Sao Paulo, Inst Phys Sao Carlos, BR-05508 Sao Paulo, Brazil; [Rodrigues, F. A.] Univ Sao Paulo, Inst Math & Comp Sci, Natl Inst Sci & Technol Complex Syst, Rio De Janeiro, Brazil Silva, FN (corresponding author), POB 369, BR-13560970 Sao Paulo, Brazil. filipinascimento@gmail.com; francisco@icmc.usp.br; chu@ifsc.usp.br; ldfcosta@gmail.com Rodrigues, Francisco A./E-4418-2011; da F. Costa, Luciano/H-5475-2011; Silva, Filipi Nascimento/C-7620-2012; Oliveira, Osvaldo N./A-1714-2008 Rodrigues, Francisco A./0000-0002-0145-5571; da F. 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Informetr. 2013 7 2 469 477 10.1016/j.joi.2013.01.007 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 136PY WOS:000318377100024 Green Submitted 2021-10-14 J Vaughan, L; Yang, RB Vaughan, Liwen; Yang, Rongbin Web traffic and organization performance measures: Relationships and data sources examined JOURNAL OF INFORMETRICS English Article Web traffic analysis; Webometrics; Performance measurements; Data quality assessment WEBOMETRICS; LINKS Unlike Web hyperlink data, Web traffic data have not yet been the focus of considerable study in Webometrics research. The relationships between Web traffic data and academic/business performance measures have not been as firmly established as the relationships between Web hyperlink data and such performance measures. Although various traffic data sources exist, few studies have examined and compared their relative merits. We carried out a study that aimed to address this lack. We selected groups of universities and businesses from the U.S. and China and collected their Web traffic data from three sources: Alexa Internet, Google Trends for Websites, and Compete. We found significant correlations between Web traffic data and organizational performance measures, specifically academic quality for universities and financial variables for businesses. We also examined the characteristics of the three data sources and compared their usefulness. We found that Alexa Internet outperformed the others. (C) 2013 Elsevier Ltd. All rights reserved. [Vaughan, Liwen] Univ Western Ontario, Fac Informat & Media Studies, London, ON N6A 3K7, Canada; [Yang, Rongbin] Inst Sci & Tech Informat Shanghai, Shanghai, Peoples R China Vaughan, L (corresponding author), Univ Western Ontario, Fac Informat & Media Studies, London, ON N6A 3K7, Canada. lvaughan@uwo.ca; rbyang@libnet.sh.cn Aguillo IF, 2006, J AM SOC INF SCI TEC, V57, P1296, DOI 10.1002/asi.20433; Alexa, 2012, AL TRAFF RANK; Almind TC, 1997, J DOC, V53, P404, DOI 10.1108/EUM0000000007205; Bar-Ilan J, 2005, J INF SCI, V31, P297, DOI 10.1177/0165551505054175; Bar-Ilan J, 2005, INFORM PROCESS MANAG, V41, P973, DOI 10.1016/j.ipm.2004.02.005; Bar-Ilan J, 2008, J INFORMETR, V2, P1, DOI 10.1016/j.joi.2007.11.001; Callaway SK, 2011, AM J BUS, V26, P12, DOI 10.1108/19355181111124070; China Ranking Website, 2011, CHIN TOP 100 INT CO; Compete, 2012, DOES COMP DAT COM; Ennew C, 2005, LONG RANGE PLANN, V38, P359, DOI 10.1016/j.lrp.2005.04.009; Huang CY, 2009, J AM SOC INF SCI TEC, V60, P1168, DOI 10.1002/asi.21055; Institute of Higher Education, 2012, TOP 50 U CHIN; International Colleges & Universities, 2012, AB US; Internet Retailer, 2012, GEN FAQS; Internet Retailer, 2012, TOP 500 GUID; Lo B. 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Informetr. 2013 7 3 699 711 10.1016/j.joi.2013.04.005 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 210UH WOS:000323859700014 2021-10-14 J Abramo, G; Cicero, T; D'Angelo, CA Abramo, Giovanni; Cicero, Tindaro; D'Angelo, Ciriaco Andrea How important is choice of the scaling factor in standardizing citations? JOURNAL OF INFORMETRICS English Article Research evaluation; Bibliometrics; Citations; Scaling; Sensitivity analysis; Productivity; Researchers RESEARCH PERFORMANCE; DISTRIBUTIONS; UNIVERSALITY; SCIENCE; MODEL Because of the variations in citation behavior across research fields, appropriate standardization must be applied as part of any bibliometric analysis of the productivity of individual scientists and research organizations. Such standardization involves scaling by some factor that characterizes the distribution of the citations of articles from the same year and subject category. In this work we conduct an analysis of the sensitivity of researchers' productivity rankings to the scaling factor chosen to standardize their citations. To do this we first prepare the productivity rankings for all researchers (more than 30,000) operating in the hard sciences in Italy, over the period 2004-2008. We then measure the shifts in rankings caused by adopting scaling factors other than the particular factor that seems more effective for comparing the impact of publications in different fields: the citation average of the distribution of cited-only publications. (C) 2012 Elsevier Ltd. All rights reserved. [Abramo, Giovanni] Natl Res Council Italy, Inst Syst Anal & Comp Sci IASI CNR, Rome, Italy; [Abramo, Giovanni; Cicero, Tindaro; D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Sch Engn, Dept Management, Lab Studies Res & Technol Transfer, Rome, Italy Abramo, G (corresponding author), Univ Roma Tor Vergata, Dipartimento Ingn Impresa, Via Politecn 1, I-00133 Rome, Italy. giovanni.abramo@uniroma2.it D'Angelo, Ciriaco Andrea/J-8162-2012; cicero, tindaro/F-6404-2019; Cicero, Tindaro/I-8129-2019; Abramo, Giovanni/AAC-9098-2020 D'Angelo, Ciriaco Andrea/0000-0002-6977-6611; cicero, tindaro/0000-0003-1926-8317; Cicero, Tindaro/0000-0003-1926-8317; abramo, giovanni/0000-0003-0731-3635 Abramo G, 2007, CURR SCI INDIA, V93, P762; Abramo G, 2012, J INFORMETR, V6, P470, DOI 10.1016/j.joi.2012.03.005; Abramo G, 2011, SCIENTOMETRICS, V88, P915, DOI 10.1007/s11192-011-0426-6; Abramo G, 2011, SCIENTOMETRICS, V86, P347, DOI 10.1007/s11192-010-0297-2; Albarran P., 2011, EC WORKING PAPERS U; Bornmann L, 2011, J INFORMETR, V5, P228, DOI 10.1016/j.joi.2010.10.009; D'Angelo CA, 2011, J AM SOC INF SCI TEC, V62, P257, DOI 10.1002/asi.21460; Gupta HM, 2005, BRAZ J PHYS, V35, P981, DOI 10.1590/S0103-97332005000600012; HURT CD, 1987, INFORM PROCESS MANAG, V23, P1, DOI 10.1016/0306-4573(87)90033-1; Leydesdorf, 2011, 2011 ATL C SCI TECHN; Leydesdorff L, 2011, J AM SOC INF SCI TEC, V62, P1370, DOI 10.1002/asi.21534; Lundberg J, 2007, J INFORMETR, V1, P145, DOI 10.1016/j.joi.2006.09.007; Moed H. F., 2004, HDB QUANTITATIVE SCI; MOED HF, 1995, SCIENTOMETRICS, V33, P381, DOI 10.1007/BF02017338; PETERS HPF, 1994, J AM SOC INFORM SCI, V45, P39, DOI 10.1002/(SICI)1097-4571(199401)45:1<39::AID-ASI5>3.0.CO;2-Q; Peterson GJ, 2010, P NATL ACAD SCI USA, V107, P16023, DOI 10.1073/pnas.1010757107; Radicchi F, 2008, P NATL ACAD SCI USA, V105, P17268, DOI 10.1073/pnas.0806977105; Radicchi F, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033833; Radicchi F, 2011, PHYS REV E, V83, DOI 10.1103/PhysRevE.83.046116; Redner S, 1998, EUR PHYS J B, V4, P131, DOI 10.1007/s100510050359; Rehn C, 2007, BIBLIOMETRIC INDICAT; Stringer MJ, 2010, J AM SOC INF SCI TEC, V61, P1377, DOI 10.1002/asi.21335; Thompson B., 1993, ANN M MIDS ED RES AS; Vieira ES, 2010, J INFORMETR, V4, P1, DOI 10.1016/j.joi.2009.06.002; Vinkler P, 1996, SCIENTOMETRICS, V36, P223, DOI 10.1007/BF02017315; Waltman L, 2012, J AM SOC INF SCI TEC, V63, P72, DOI 10.1002/asi.21671 26 13 13 0 24 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. OCT 2012 6 4 645 654 10.1016/j.joi.2012.07.002 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 003AY WOS:000308581700023 Green Submitted 2021-10-14 J Wei, JC; Bu, B; Liang, L Wei, Jiuchang; Bu, Bing; Liang, Liang Estimating the diffusion models of crisis information in micro blog JOURNAL OF INFORMETRICS English Article Diffusion model; Crisis information; Micro blog; Logistic model HIGHER-EDUCATION; GROWTH-MODELS; COMMUNICATION; DISSEMINATION; DISASTER; TWITTER; MEDIA The study tries to construct the diffusion models of crisis information in micro blog. We propose three information release patterns in micro blog according to the duration of crisis information released, namely concentrated release, continuous release, and pulse release. Based on Logistic function, three respective diffusion models are constructed. We choose three crisis events to test the diffusion models using the variables of the number of micro blogs with the crisis information (NMCI) and the increment of NMCI. The estimate results show that the diffusion of crisis information in micro blogs can be described by Logistic function, and the growth curve of NMCI is S-shaped. (C) 2012 Elsevier Ltd. All rights reserved. [Wei, Jiuchang; Bu, Bing; Liang, Liang] Univ Sci & Technol China, Sch Management, Hefei 230026, Anhui, Peoples R China; [Liang, Liang] Univ Sci & Technol China, State Key Lab Fire Sci, Hefei 230026, Anhui, Peoples R China Bu, B (corresponding author), Univ Sci & Technol China, Sch Management, 96 JinZhai Rd, Hefei 230026, Anhui, Peoples R China. 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Informetr. JUL 2012 6 3 448 450 10.1016/j.joi.2012.01.008 3 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 937LN WOS:000303660100011 2021-10-14 J Aksnes, DW; Schneider, JW; Gunnarsson, M Aksnes, Dag W.; Schneider, Jesper W.; Gunnarsson, Magnus Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods JOURNAL OF INFORMETRICS English Article Citation indicators; Bibliometric methods; International co-authorship JOURNAL IMPACT FACTOR; RELATIVE INDICATORS; COLLABORATION; SCIENCE; NORMALIZATION; CONSEQUENCES; PUBLICATIONS; AUTHORS; DECLINE; FIELD This paper presents an empirical analysis of two different methodologies for calculating national citation indicators: whole counts and fractionalised counts. The aim of our study is to investigate the effect on relative citation indicators when citations to documents are fractionalised among the authoring countries. We have performed two analyses: a time series analysis of one country and a cross-sectional analysis of 23 countries. The results show that all countries' relative citation indicators are lower when fractionalised counting is used. Further, the difference between whole and fractionalised counts is generally greatest for the countries with the highest proportion of internationally co-authored articles. In our view there are strong arguments in favour of using fractionalised counts to calculate relative citation indexes at the national level, rather than using whole counts, which is the most common practice today. (C) 2011 Elsevier Ltd. All rights reserved. [Aksnes, Dag W.] NIFU Nord Inst Studies Innovat Res & Educ, NO-0167 Oslo, Norway; [Schneider, Jesper W.] Royal Sch Lib & Informat Sci, DK-9220 Aalborg O, Denmark; [Gunnarsson, Magnus] Swedish Res Council, Dept Res Policy Anal, SE-10138 Stockholm, Sweden Aksnes, DW (corresponding author), NIFU Nord Inst Studies Innovat Res & Educ, Wergelandsveien 7, NO-0167 Oslo, Norway. dag.w.aksnes@nifu.no; jws@iva.dk; magnus.gunnarsson@vr.se Schneider, Jesper Wiborg W/J-9068-2012; Aksnes, Dag W./R-3607-2019 Schneider, Jesper Wiborg W/0000-0001-5556-0919; Aksnes, Dag W./0000-0002-1519-195X; Gunnarsson, Magnus MacHale/0000-0001-5067-0107 Aksnes DW, 2000, SCIENTOMETRICS, V49, P7, DOI 10.1023/A:1005653006993; Aksnes DW, 2003, SCIENTOMETRICS, V56, P235, DOI 10.1023/A:1021919228368; de Solla, 1981, SCIENCE, V212, P987; Egghe L, 2000, J AM SOC INFORM SCI, V51, P145, DOI 10.1002/(SICI)1097-4571(2000)51:2<145::AID-ASI6>3.0.CO;2-9; Galam S., 2011, ARXIV10073708V2PHYSI; GARFIELD E, 1979, SCIENTOMETRICS, V1, P359, DOI 10.1007/BF02019306; Gauffriau M, 2005, SCIENTOMETRICS, V64, P85, DOI 10.1007/s11192-005-0239-6; Glanzel W, 2000, SCIENTOMETRICS, V48, P121, DOI 10.1023/A:1005640604267; Gunnarsson M., 2010, USE BIBLIOMETRICS RE; HARSANYI MA, 1993, LIBR INFORM SCI RES, V15, P325; HERBERTZ H, 1995, SCIENTOMETRICS, V33, P117, DOI 10.1007/BF02020777; HURT CD, 1987, INFORM PROCESS MANAG, V23, P1, DOI 10.1016/0306-4573(87)90033-1; IRVINE J, 1985, NATURE, V316, P587, DOI 10.1038/316587a0; Kronman U., 2010, BIBLIOMETRIC DATABAS; Leydesdorff L., 1988, SCI PUBL POLICY, V15, P149; Leydesdorff L, 2011, J AM SOC INF SCI TEC, V62, P217, DOI 10.1002/asi.21450; Leydesdorff L, 2010, J AM SOC INF SCI TEC, V61, P2365, DOI 10.1002/asi.21371; Lundberg J, 2007, J INFORMETR, V1, P145, DOI 10.1016/j.joi.2006.09.007; MARTIN BR, 1994, SCIENTOMETRICS, V29, P27, DOI 10.1007/BF02018382; Moed H.F., 2005, CITATION ANAL RES EV; MOED HF, 1995, SCIENTOMETRICS, V33, P381, DOI 10.1007/BF02017338; Narin F, 1976, EVALUATIVE BIBLIOMET; National Science Board, 2010, SCI ENG IND 2010; Opthof T, 2010, J INFORMETR, V4, P423, DOI 10.1016/j.joi.2010.02.003; Persson O, 2004, SCIENTOMETRICS, V60, P421, DOI 10.1023/B:SCIE.0000034384.35498.7d; Piro F., 2011, BIBLIOMETRIC INDICAT; Schneider J. 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JAN 2012 6 1 36 43 10.1016/j.joi.2011.08.002 8 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 865QL WOS:000298325300006 2021-10-14 J Zhang, L; Thijs, B; Glanzel, W Zhang, Lin; Thijs, Bart; Glaenzel, Wolfgang The diffusion of H-related literature JOURNAL OF INFORMETRICS English Article H-index; Knowledge diffusion; Clustering analysis; Core-documents DEPENDENT LOTKAIAN INFORMETRICS; SELF-CITATION CORRECTIONS; WEB-OF-SCIENCE; EGGHES G-INDEX; HIRSCH-INDEX; GOOGLE SCHOLAR; BIBLIOMETRIC INDICATORS; RESEARCH PRODUCTIVITY; RESEARCH PERFORMANCE; ACADEMIC JOURNALS In the present study we attempt to trace the diffusion of h-related literature over a five-year period beginning with the introduction of the h-index. The study is based on a reliable and representative publication set of 755 papers retrieved from the Web of Science database using keywords and citation links. In the course of the study we analyse several aspects of the emergence of this topic, the differentiation of methodological research, its application within and outside the field and the dissemination process of information among different disciplines in the sciences and social sciences. Finally, a cluster analysis of h-related literature is conducted. The hybrid clustering algorithm results in four clusters, which depict two different aspects each of basic and applied research related to the h-index and its derivatives. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved. [Zhang, Lin; Thijs, Bart; Glaenzel, Wolfgang] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, B-3000 Louvain, Belgium; [Zhang, Lin; Thijs, Bart; Glaenzel, Wolfgang] Katholieke Univ Leuven, Dept MSI, B-3000 Louvain, Belgium; [Zhang, Lin] N China Univ Water Conservancy & Elect Power, Dept Management & Econ, Zhengzhou, Peoples R China; [Glaenzel, Wolfgang] Hungarian Acad Sci, IRPS, Budapest, Hungary Zhang, L (corresponding author), Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Waaistr 6,Room 01-82, B-3000 Louvain, Belgium. 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Informetr. OCT 2011 5 4 583 593 10.1016/j.joi.2011.05.004 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 841PI WOS:000296524200010 2021-10-14 J Franceschini, F; Maisano, D Franceschini, Fiorenzo; Maisano, Domenico Regularity in the research output of individual scientists: An empirical analysis by recent bibliometric tools JOURNAL OF INFORMETRICS English Article Research evaluation; Individual scientist; Publication regularity; Citation regularity; Ferrers diagram; h-Index; Citation/publication distribution; Borda's method INDICATORS; UNIVERSITY; SCIENCE This paper proposes an empirical analysis of several scientists based on their time regularity, defined as the ability of generating an active and stable research output over time, in terms of both quantity/publications and impact/citations. In particular, we empirically analyse three recent bibliometric tools to perform qualitative/quantitative evaluations under the new perspective of regularity. These tools are respectively (1) the PY/CY diagram, (2) the publication/citation Ferrers diagram and triad indicators, and (3) a year-by-year comparison of the scientists' output (Borda's ranking). Results of the regularity analysis are then compared with those obtained under the classical perspective of overall production. The proposed evaluation tools can be applied to competitive examinations for research position/promotion, as complementary instruments to the commonly adopted bibliometric techniques. (C) 2011 Elsevier Ltd. All rights reserved. [Franceschini, Fiorenzo; Maisano, Domenico] Politecn Torino, DISPEA Dept Prod Syst & Business Econ, I-10129 Turin, Italy Franceschini, F (corresponding author), Politecn Torino, DISPEA Dept Prod Syst & Business Econ, Corso Duca Abruzzi 24, I-10129 Turin, Italy. fiorenzo.franceschini@polito.it; domenico.maisano@polito.it Franceschini, Fiorenzo/C-2583-2013; MAISANO, Domenico A/B-4301-2010 Franceschini, Fiorenzo/0000-0001-7131-4419; MAISANO, Domenico/0000-0002-8154-4469 Alonso S, 2009, J INFORMETR, V3, P273, DOI 10.1016/j.joi.2009.04.001; AMIN M, 2000, IMPACT FACTORS USE A; Andrews GE, 1998, THEORY PARTITIONS; *ASPHER, 2010, DOCT ED RES CAP PUBL; Bar-Ilan J, 2010, SCIENTOMETRICS, V82, P495, DOI 10.1007/s11192-010-0185-9; Billaut JC, 2010, SCIENTOMETRICS, V84, P237, DOI 10.1007/s11192-009-0115-x; BORDA JC, 1781, ISIS, V44, P42; Bornmann L, 2011, SCIENTOMETRICS, V86, P173, DOI 10.1007/s11192-010-0222-8; Bornmann L, 2009, J INFORMETR, V3, P27, DOI 10.1016/j.joi.2008.11.001; *COLL PRES CORS ST, 2008, CONS PROP REL AGL IN; CRONIN B, 1984, CITATION PROC ROLE S; Egghe L, 2010, J INFORMETR, V4, P320, DOI 10.1016/j.joi.2010.01.006; Egghe L, 2010, ANNU REV INFORM SCI, V44, P65, DOI 10.1002/aris.2010.1440440109; FRANCESCHINI F, 2010, QREI QUALIT IN PRESS, DOI DOI 10.1002/QRE.1174; Franceschini F., 2007, MANAGEMENT MEASUREME; FRANCESCHINI F, SCIENTOMETR IN PRESS, DOI DOI 10.1007/S11192-011-0371-4; Franceschini F, 2011, J INFORMETR, V5, P64, DOI 10.1016/j.joi.2010.08.003; Franceschini F, 2010, J INFORMETR, V4, P503, DOI 10.1016/j.joi.2010.05.004; Franceschini F, 2010, EUR J OPER RES, V203, P494, DOI 10.1016/j.ejor.2009.08.001; Glanzel W, 2006, SCIENTOMETRICS, V67, P67, DOI 10.1556/Scient.67.2006.1.5; GLANZEL W, 2010, ISSI NEWSLETTER, V6, P66; Haeffner-Cavaillon N, 2009, ARCH IMMUNOL THER EX, V57, P33, DOI 10.1007/s00005-009-0004-2; Harzing A.W., 2008, ETHICS SCI ENV POLIT, V8, P1, DOI [DOI 10.3354/ESEP00076, 10.3354/esep00076]; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; *IPEA, 2009, SIMPL PUBL CALL PROP; Labbe C., 2010, ISSI NEWSLETTER, V6, P48; Moed H.F., 2005, CITATION ANAL RES EV; Neuhaus C, 2008, J DOC, V64, P193, DOI 10.1108/00220410810858010; ROUSSEAU R, 2008, P WIS 2008 4 INT C W; Saari D. G., 1995, BASIC GEOMETRY VOTIN; SNIZEK WE, 1995, SCIENTOMETRICS, V32, P117, DOI 10.1007/BF02016888; Stephan PE, 2008, CESIFO ECON STUD, V54, P313, DOI 10.1093/cesifo/ifn014; van Raan AFJ, 2000, ASIST MON SER, P301 33 5 5 0 23 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JUL 2011 5 3 458 468 10.1016/j.joi.2011.04.004 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 769QF WOS:000291032500014 Green Published 2021-10-14 J Serenko, A; Cox, RAK; Bontis, N; Booker, LD Serenko, Alexander; Cox, Raymond A. K.; Bontis, Nick; Booker, Lorne D. The superstar phenomenon in the knowledge management and intellectual capital academic discipline JOURNAL OF INFORMETRICS English Article Superstar effect; Matthew effect; Yule-Simon model; Lotka's square law; Editor bias CUMULATIVE ADVANTAGE; RESEARCH OUTPUT; SCIENTOMETRIC ANALYSIS; ECONOMICS; PRODUCTIVITY; PATTERNS; SCIENTISTS; RANKING; FOLLOW; MARKET This paper reports on the first documented attempt to investigate the presence of the superstar (or Matthew) effect in the knowledge management and intellectual capital (KM/IC) scholarly discipline. The Yule-Simon model and Lotka's square law were applied to the publication data obtained from 2175 articles from 11 KM/IC journals. Based on the findings, it was concluded that the KM/IC discipline represents a very young, attractive academic field that welcomes contributions from a variety of academics and practitioners. In their paper acceptance decisions, KM/IC journal editors are not biased towards a small group of highly productive researchers, which is a positive sign that the field has been progressing in the right direction. The discipline is driven more by academics than by practitioners, and the distribution of articles is more concentrated among a few academic but not practitioner institutions. It was also observed that the Yule-Simon model and Lotka's square law may produce different distributions with respect to institutions. (C) 2011 Elsevier Ltd. All rights reserved. [Serenko, Alexander] Lakehead Univ, Fac Business Adm, Thunder Bay, ON P7B 5E1, Canada; [Cox, Raymond A. K.] Univ No British Columbia, Sch Business, Prince George, BC V2L 5P2, Canada; [Bontis, Nick; Booker, Lorne D.] McMaster Univ, DeGroote Sch Business, Hamilton, ON L8S 4L8, Canada Serenko, A (corresponding author), Lakehead Univ, Fac Business Adm, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada. aserenko@lakeheadu.ca; rcox@unbc.ca; nbontis@mcmaster.ca; bookerld@mcmaster.ca Serenko, Alexander/AAT-2082-2020; Booker, Lorne D/D-5795-2013 Serenko, Alexander/0000-0003-4881-2932; Booker, Lorne/0000-0001-8763-7626; Bontis, Nick/0000-0002-8347-0870 ADLER M, 1985, AM ECON REV, V75, P208; ALLISON PD, 1974, AM SOCIOL REV, V39, P596, DOI 10.2307/2094424; Andriessen D., 2004, LEARNING ORG, V11, P393, DOI DOI 10.1108/09696470410538288; Blank R.M., 2004, MEASURING RACIAL DIS; Bontis N, 2009, J KNOWL MANAG, V13, P16, DOI 10.1108/13673270910931134; Booker LD, 2008, KNOWL PROCESS MANAG, V15, P235, DOI 10.1002/kpm.314; BOOTH AD, 1967, INFORM CONTROL, V10, P386, DOI 10.1016/S0019-9958(67)90201-X; Cattell J. 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K., 1949, HUMAN BEHAV PRINCIPL; Zuckerman Harriet., 1977, SCI ELITE 52 29 30 0 49 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JUL 2011 5 3 333 345 10.1016/j.joi.2011.01.005 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 769QF WOS:000291032500002 2021-10-14 J Franceschini, F; Maisano, D Franceschini, Fiorenzo; Maisano, Domenico The citation triad: An overview of a scientist's publication output based on Ferrers diagrams JOURNAL OF INFORMETRICS English Article Citations; h-Index; Tapered h-index; Ferrers diagram; Durfee square; Big hit; Sleeping beauty; Publication output H-INDEX; BIBLIOMETRIC INDICATORS; HIRSCH-INDEX In a recent work by Anderson, Hankin, and Killworth (2008), Ferrers diagrams and Durfee squares are used to represent the scientific output of a scientist and construct a new h-based bibliometric indicator, the tapered h-index (h(T)). In the first part of this paper we examine h(T), identifying its main drawbacks and weaknesses: an arbitrary scoring system and an illusory increase in discrimination power compared to h. Subsequently, we propose a new bibliometric tool, the citation triad (CT), that better exploits the information contained in a Ferrers diagram, giving a synthetic overview of a scientist's publication output. The advantages of this new approach are discussed in detail. Argument is supported by several examples based on empirical data. (C) 2010 Elsevier Ltd. All rights reserved. [Franceschini, Fiorenzo; Maisano, Domenico] Politecn Torino, Dipartimento Sistemi Prod & Econ Azienda DISPEA, I-10129 Turin, Italy Franceschini, F (corresponding author), Politecn Torino, Dipartimento Sistemi Prod & Econ Azienda DISPEA, Corso Duca Abruzzi 24, I-10129 Turin, Italy. fiorenzo.franceschini@polito.it Franceschini, Fiorenzo/C-2583-2013; MAISANO, Domenico A/B-4301-2010 Franceschini, Fiorenzo/0000-0001-7131-4419; MAISANO, Domenico/0000-0002-8154-4469 Alonso S, 2010, SCIENTOMETRICS, V82, P391, DOI 10.1007/s11192-009-0047-5; Alonso S, 2009, J INFORMETR, V3, P273, DOI 10.1016/j.joi.2009.04.001; Anderson TR, 2008, SCIENTOMETRICS, V76, P577, DOI 10.1007/s11192-007-2071-2; Andrews GE, 1998, THEORY PARTITIONS; Bornmann L., J INFORM IN PRESS; Bornmann L, 2008, J AM SOC INF SCI TEC, V59, P830, DOI 10.1002/asi.20806; Braun T, 2006, SCIENTOMETRICS, V69, P169, DOI 10.1007/s11192-006-0147-4; Burrell QL, 2007, SCIENTOMETRICS, V73, P19, DOI 10.1007/s11192-006-1774-5; Costas R, 2007, J INFORMETR, V1, P193, DOI 10.1016/j.joi.2007.02.001; EGGHE L, 2010, ANNU REV INFORM SCI, V114, P44; Egghe L., J INFORM IN PRESS; Egghe L, 2006, SCIENTOMETRICS, V69, P121, DOI 10.1007/s11192-006-0143-8; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Franceschini F., SCIENTOMETRICS; Franceschini F., 2007, MANAGEMENT MEASUREME; Franceschini F, 2010, J INFORMETR, V4, P64, DOI 10.1016/j.joi.2009.08.003; Franceschini F, 2010, EUR J OPER RES, V203, P494, DOI 10.1016/j.ejor.2009.08.001; Glanzel W., 2006, SCI FOCUS, V1, P10; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; HUA PH, 2010, CHINESE J SCI TECHNI, V21, P33; Jin BH, 2007, CHINESE SCI BULL, V52, P855, DOI 10.1007/s11434-007-0145-9; Kelly CD, 2006, TRENDS ECOL EVOL, V21, P167, DOI 10.1016/j.tree.2006.01.005; PRATHAP G, 2010, SCIENTOMETRICS, DOI DOI 10.1007/S11192-009R-R0067-; ROBERTS FS, 1979, ENCY MATH ITS APPLIC; Rousseau R., 2006, SCI FOCUS, V1, P23; STEVENS SS, 1946, SCIENCE, V103, P677, DOI 10.1126/science.103.2684.677; van Leeuwen TN, 2003, SCIENTOMETRICS, V57, P257, DOI 10.1023/A:1024141819302; van Raan AFJ, 2004, SCIENTOMETRICS, V59, P467, DOI 10.1023/B:SCIE.0000018543.82441.f1; Van Raan AFJ, 2006, SCIENTOMETRICS, V67, P491, DOI 10.1556/Scient.67.2006.3.10; Wan JK, 2007, COLLNET J SCIENTOMET, V1, P1, DOI [10.1080/09737766.2007.10700824, 10.1080/09737766.2008.10700835]; Zhang ZY, 2009, IEEE COMPUT INTELL M, V4, P4, DOI 10.1109/MCI.2008.930981 31 11 11 1 31 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. OCT 2010 4 4 503 511 10.1016/j.joi.2010.05.004 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 647KA WOS:000281616200006 2021-10-14 J Gonzalez-Pereira, B; Guerrero-Bote, VP; Moya-Anegon, F Gonzalez-Pereira, Borja; Guerrero-Bote, Vicente P.; Moya-Anegon, Felix A new approach to the metric of journals' scientific prestige: The SJR indicator JOURNAL OF INFORMETRICS English Article SJR indicator; Academic journals; Journal prestige; Eigenvector centrality; Citation networks A size-independent indicator of journals' scientific prestige, the SCImago Journal Rank (SJR) indicator, is proposed that ranks scholarly journals based on citation weighting schemes and eigenvector centrality. It is designed for use with complex and heterogeneous citation networks such as Scopus. Its computation method is described, and the results of its implementation on the Scopus 2007 dataset is compared with those of an ad hoc Journal Impact Factor, JIF(3y), both generally and within specific scientific areas. Both the SJR indicator and the JIF distributions were found to fit well to a logarithmic law. While the two metrics were strongly correlated, there were also major changes in rank. In addition, two general characteristics were observed. On the one hand, journals' scientific influence or prestige as computed by the SJR indicator tended to be concentrated in fewer journals than the quantity of citation measured by JIF(3y). And on the other, the distance between the top-ranked journals and the rest tended to be greater in the SJR ranking than in that of the JIF(3y), while the separation between the middle and lower ranked journals tended to be smaller. (C) 2010 Elsevier Ltd. All rights reserved. [Guerrero-Bote, Vicente P.] Univ Extremadura, Dept Informat & Commun, Scimago Grp, E-06071 Badajoz, Spain; [Moya-Anegon, Felix] CSIC, CCHS, IPP, Scimago Grp, Madrid, Spain Guerrero-Bote, VP (corresponding author), Univ Extremadura, Dept Informat & Commun, Scimago Grp, E-06071 Badajoz, Spain. guerrero@unex.es Guerrero-Bote, Vicente P./E-7546-2016; Gonzalez Pereira, Francisco de Borja/E-9377-2013; de Moya Anegon, Felix/V-3678-2019; de Moya Anegon, Felix/C-4004-2009 Guerrero-Bote, Vicente P./0000-0003-4821-9768; de Moya Anegon, Felix/0000-0002-0255-8628; de Moya Anegon, Felix/0000-0002-0255-8628 Bar-Ilan J, 2008, SCIENTOMETRICS, V74, P257, DOI 10.1007/s11192-008-0216-y; Bergstrom C., 2007, COLL RES LIB NEWS, V68, P3146, DOI DOI 10.5860/crln.68.5.7804; Bollen J, 2006, SCIENTOMETRICS, V69, P669, DOI 10.1007/s11192-006-0176-z; Bollen J, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006022; BONACICH P, 1987, AM J SOCIOL, V92, P1170, DOI 10.1086/228631; Brin S, 1998, COMPUT NETWORKS ISDN, V30, P107, DOI 10.1016/S0169-7552(98)00110-X; De Moya-Anegon F, 2007, SCIENTOMETRICS, V73, P53, DOI 10.1007/s11192-007-1681-4; Falagas ME, 2008, FASEB J, V22, P2623, DOI 10.1096/fj.08-107938; Garfield E, 2006, JAMA-J AM MED ASSOC, V295, P90, DOI 10.1001/jama.295.1.90; Guz AN, 2009, INT APPL MECH+, V45, P351, DOI 10.1007/s10778-009-0189-4; Jacso P., 2009, PETERS DIGITAL REFER; LAGUARDIA C, 2005, LIB J, V15; Leydesdorff L., J AM SOC IN IN PRESS; Leydesdorff L, 2009, J AM SOC INF SCI TEC, V60, P1327, DOI 10.1002/asi.21024; Ma N, 2008, INFORM PROCESS MANAG, V44, P800, DOI 10.1016/j.ipm.2007.06.006; Moed H.F., 2005, CITATION ANAL RES EV; Nederhof AJ, 2006, SCIENTOMETRICS, V66, P81, DOI 10.1007/s11192-006-0007-2; PAGE L, 2001, Patent No. 20016285999; Page L., 1999, PAGERANK CITATION RA; Palacios-Huerta I, 2004, ECONOMETRICA, V72, P963, DOI 10.1111/j.1468-0262.2004.00519.x; PINSKI G, 1976, INFORM PROCESS MANAG, V12, P297, DOI 10.1016/0306-4573(76)90048-0; *SCIMAGO RES GROUP, 2009, SCIMAGO J COUNTR RAN 22 316 345 6 173 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JUL 2010 4 3 379 391 10.1016/j.joi.2010.03.002 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 607YQ WOS:000278543600017 2021-10-14 J Zitt, M Zitt, Michel Citing-side normalization of journal impact: A robust variant of the Audience Factor JOURNAL OF INFORMETRICS English Article Audience factor; Impact factor; Normalized impact; Citing-side normalization; Source normalization; Journal impact SCIENTIFIC JOURNALS; CITATION ANALYSIS; PERFORMANCE; FIELDS; INDICATORS; ADVANTAGES; NETWORKS; TOOL The principle of a new type of impact measure was introduced recently, called the "Audience Factor" (AF). It is a variant of the journal impact factor where emitted citations are weighted inversely to the propensity to cite of the source. In the initial design, propensity was calculated using the average length of bibliography at the source level with two options: a journal-level average or a field-level average. This citing-side normalization controls for propensity to cite, the main determinant of impact factor variability across fields. The AF maintains the variability due to exports-imports of citations across field and to growth differences. It does not account for influence chains, powerful approaches taken in the wake of Pinski-Narin's influence weights. Here we introduce a robust variant of the audience factor, trying to combine the respective advantages of the two options for calculating bibliography lengths: the classification-free scheme when the bibliography length is calculated at the individual journal level, and the robustness and avoidance of ad hoc settings when the bibliography length is averaged at the field level. The variant proposed relies on the relative neighborhood of a citing journal, regarded as its micro-field and assumed to reflect the citation behavior in this area of science. The methodology adopted allows a large range of variation of the neighborhood, reflecting the local citation network, and partly alleviates the "cross-scale" normalization issue. Citing-side normalization is a general principle which may be extended to other citation counts. (C) 2010 Elsevier Ltd. All rights reserved. [Zitt, Michel] INRA Lereco, F-44316 Nantes 03, France; [Zitt, Michel] OST, Paris, France Zitt, M (corresponding author), INRA Lereco, Rue Geraudiere,BP 71627, F-44316 Nantes 03, France. zitt@nantes.inra.fr Adams J, 2008, SCIENTOMETRICS, V75, P81, DOI 10.1007/s11192-007-1832-7; Bar-Ilan J, 2009, CYBERMETRICS, V13; Bassecoulard E, 1999, SCIENTOMETRICS, V44, P323, DOI 10.1007/BF02458483; BERGSTROM CT, 2007, COLL RES LIB NE 0505, V68; Biglu MH, 2008, SCIENTOMETRICS, V74, P453, DOI 10.1007/s11192-007-1815-8; Bollen J, 2006, SCIENTOMETRICS, V69, P669, DOI 10.1007/s11192-006-0176-z; Bordons M, 2002, SCIENTOMETRICS, V53, P195, DOI 10.1023/A:1014800407876; Cozzens S. 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Informetr. JUL 2010 4 3 392 406 10.1016/j.joi.2010.03.004 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 607YQ WOS:000278543600018 2021-10-14 J Prabowo, R; Thelwall, M Prabowo, Rudy; Thelwall, Mike Finding and tracking subjects within an ongoing debate JOURNAL OF INFORMETRICS English Article feature selection; subject tracking SEARCH This paper describes a new algorithm for finding and tracking different subjects within an ongoing debate. The algorithm finds blocks of co-occurring terms, representing subjects, including blocks for which the term co-occurrence pattern forms a ring topology. We used short online debate forum data and longer summary bulletins to assess the extent to which the algorithm could correctly detect subjects, according to the judgements of human evaluators. 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APR 2008 2 2 107 127 10.1016/j.joi.2007.12.002 21 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 296TK WOS:000255568500001 2021-10-14 J Mansilla, R; Koppen, E; Cocho, G; Miramontes, P Mansilla, R.; Koppen, E.; Cocho, G.; Miramontes, P. On the behavior of journal impact factor rank-order distribution JOURNAL OF INFORMETRICS English Article Zipf's law; Lotkaian informetrics; power laws; impact factors MODEL An empirical law for the rank-order behavior of journal impact factors is found. Using an extensive data base on impact factors including journals on education, agrosciences, geosciences, mathematics, chemistry, medicine, engineering, physics, biosciences and environmental, computer and material sciences, we have found extremely good fittings outperforming other rank-order models. Based in our results, we propose a two-exponent Lotkaian Informetrics. Some extensions to other areas of knowledge are discussed. (c) 2007 Elsevier Ltd. All rights reserved. [Miramontes, P.] Univ Nacl Autonoma Mexico, Fac Ciencias, Mexico City 04510, DF, Mexico; [Mansilla, R.; Koppen, E.] Univ Nacl Autonoma Mexico, Ctr Invest Interdisciplinaries Ciencias & Humanid, Mexico City 04510, DF, Mexico; [Cocho, G.] Univ Nacl Autonoma Mexico, Inst Fis, Mexico City 04510, DF, Mexico Miramontes, P (corresponding author), Univ Nacl Autonoma Mexico, Fac Ciencias, Mexico City 04510, DF, Mexico. pmv@fciencias.unam.mx Mansilla, Ricardo/0000-0002-1248-0959 [Anonymous], 2005, NATURE, V435, P1003, DOI 10.1038/4351003a; BAK P, 1987, PHYS REV LETT, V59, P381, DOI 10.1103/PhysRevLett.59.381; Barabasi, 2002, LINKED NEW SCI NETWO; Condon EU, 1928, SCIENCE, V67, P300, DOI 10.1126/science.67.1733.300; de Marchi M, 2001, SCIENTOMETRICS, V51, P395, DOI 10.1023/A:1012705818635; Dewey G., 1923, RELATIVE FREQUENCY E; DRESDEN A., 1922, B AM MATH SOC, V28, P303; Egghe L, 2005, LIBR INFORM SCI SER, P1; Egghe L., 1990, INTRO INFORM; ESTOUP JB, 1916, GEMMES STENOGRAPHIQU; FROHLICH G, 1996, REV INFORM SCI, V1, P1; GARFIELD E., 1994, CURR CONTENTS, V25, P3; LANGTON CG, 1990, PHYSICA D, V42, P12, DOI 10.1016/0167-2789(90)90064-V; LEQUAN H, 2002, P 17 INT C COMP LING; LI WT, 1991, PHYS REV A, V43, P5240, DOI 10.1103/PhysRevA.43.5240; Lotka A. 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APR 2007 1 2 155 160 10.1016/j.joi.2007.01.001 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 269JI WOS:000253644900006 Green Submitted 2021-10-14 J Jarneving, B Jarneving, Bo Bibliographic coupling and its application to research-front and other core documents JOURNAL OF INFORMETRICS English Article bibliographic coupling; science mapping; cluster analysis SCIENTIFIC LITERATURES; SCIENCE; INFORMATION; COCITATION Based on previous findings and theoretical considerations, it was suggested that bibliographic coupling could be combined with a cluster method to provide a method for science mapping, complementary to the prevailing co-citation cluster analytical method. The complete link cluster method was on theoretical grounds assumed to provide a suitable cluster method for this purpose. The objective of the study was to evaluate the proposed method's capability to identify coherent research themes. Applying a large multidisciplinary test bed comprising more than 600,000 articles and 17 million references, the proposed method was tested in accordance with two lines of mapping. In the first line of mapping, all significant (strong) links connecting 'core documents' (strongly and frequently coupled documents) in clusters with any other core document was mapped. This resulted in a depiction of all significant artificially broken links between core documents in a cluster and core documents extrinsic to that cluster. The second line of mapping involved the application of links between clusters only. They were used to successively merge clusters on two subsequent levels of fusion, where the first generation of clusters were considered objects for a second clustering, and the second generation of clusters gave rise to a final cluster fusion. Changes of cluster composition on the three levels were evaluated with regard to several variables. Findings showed that the proposed method could provide with valid depictions of current research, though some severe restrictions would adhere to its application. (c) 2007 Elsevier Ltd. All rights reserved. Swedish Sch Lib & Informat Sci, S-50190 Boras, Sweden Jarneving, B (corresponding author), Swedish Sch Lib & Informat Sci, S-50190 Boras, Sweden. bo.jarneving@hb.se Aldenerfer M. 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Informetr. 2007 1 4 287 307 10.1016/j.joi.2007.07.004 21 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 272BF WOS:000253831900004 2021-10-14 J Amodio, P; Brugnano, L; Scarselli, F Amodio, Pierluigi; Brugnano, Luigi; Scarselli, Filippo Implementation of the PaperRank and AuthorRank indices in the Scopus database JOURNAL OF INFORMETRICS English Article Bibliometric index; PaperRank; AuthorRank; Scopus database; Number of citations; h-index H-INDEX; PAGERANK We implement the PaperRank and AuthorRank indices introduced in [Amodio & Brugnano, 2014] in the Scopus database, in order to highlight quantitative and qualitative information that the bare number of citations and/or the h-index of an author are unable to provide. In addition to this, the new indices can be cheaply updated in Scopus, since this has a cost comparable to that of updating the number of citations. Some examples are reported to provide insight in their potentialities, as well as possible extensions. [Amodio, Pierluigi; Scarselli, Filippo] Univ Bari, Dipartimento Matemat, Bari, Italy; [Brugnano, Luigi; Scarselli, Filippo] Univ Firenze, Dipartimento Matemat & Informat U Dini, Florence, Italy Amodio, P (corresponding author), Univ Bari, Dipartimento Matemat, Bari, Italy. pierluigi.amodio@uniba.it; luigi.brugnano@unifi.it; f.scarselli@tiscali.it Amodio P, 2014, J COMPUT APPL MATH, V267, P182, DOI 10.1016/j.cam.2014.02.018; Bergstrom C, 2007, COLL RES LIBR NEWS, V68, P314, DOI [DOI 10.5860/CRLN.68.5.7804, 10.5860/crln.68.5.7804]; Bollen J, 2006, SCIENTOMETRICS, V69, P669, DOI 10.1007/s11192-006-0176-z; Bollen J, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006022; Bornmann L, 2008, J AM SOC INF SCI TEC, V59, P830, DOI 10.1002/asi.20806; Brin S, 1998, COMPUT NETWORKS ISDN, V30, P107, DOI 10.1016/S0169-7552(98)00110-X; Brito R, 2021, J INFORMETR, V15, DOI 10.1016/j.joi.2020.101106; Chen P, 2007, J INFORMETR, V1, P8, DOI 10.1016/j.joi.2006.06.001; Dorogovtsev SN, 2015, NAT PHYS, V11, P882, DOI 10.1038/nphys3533; Egghe L., 2006, ISSI NEWSLETTER, P8; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Elsevier, 2021, ELSEVIER SCOPUS APIS; Fiala D, 2012, J INFORMETR, V6, P370, DOI 10.1016/j.joi.2012.02.002; Garner RM, 2018, J NEUROINTERV SURG, V10, P102, DOI 10.1136/neurintsurg-2017-013265; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Kamvar S, 2004, LINEAR ALGEBRA APPL, V386, P51, DOI 10.1016/j.laa.2003.12.008; Kamvar S. 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NOV 2021 15 4 101206 10.1016/j.joi.2021.101206 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science WB4NH WOS:000703549900002 Green Accepted, Green Submitted 2021-10-14 J de Diego, IM; Gonzalez-Fernandez, C; Fernandez-Isabel, A; Fernandez, RR; Cabezas, J Martin de Diego, Isaac; Gonzalez-Fernandez, Cesar; Fernandez-Isabel, Alberto; Fernandez, Ruben R.; Cabezas, Javier System for evaluating the reliability and novelty of medical scientific papers JOURNAL OF INFORMETRICS English Article Reliability estimation; Novelty detection; Article evaluation; Knowledge graph; Medical articles KNOWLEDGE; TEXT; DATABASE; METAMAP; INDEX; UMLS As society develops, the number of published research articles raises. Besides, the pressure to publish has been increased because the competitiveness between researchers working on similar topics. Although this increment is desirable, it leads to multiple issues. At a reader level, insurmountable barriers to keep up with the state of the art appear. From a publisher perspective, it is a very demanding task to determine which research articles are worth publishing. Automatizing these tasks appears as a core solution. In the case of readers, a previous evaluation of articles would simplify the filtering process. As for publishers, they could perform preliminary selections or estimate the reviewing effort. This paper presents Medical Evaluator System for Scientific Interoperability (MESSI) system to overcome all these issues. It is able to evaluate the novelty and reliability of health-related texts. The novelty calculation is based on previously acquired knowledge after processing more than 500,000 papers. The reliability estimation is based on the reputations of similar articles calculated based on previously defined metrics. Multiple experiments have been addressed to illustrate the viability of the proposal. The obtained results show a good performance that encourage to continue evolving the system. [Martin de Diego, Isaac; Gonzalez-Fernandez, Cesar; Fernandez-Isabel, Alberto; Fernandez, Ruben R.; Cabezas, Javier] Rey Juan Carlos Univ, Data Sci Lab, C Tulipan S-N, Mostoles 28933, Spain de Diego, IM (corresponding author), Rey Juan Carlos Univ, Data Sci Lab, C Tulipan S-N, Mostoles 28933, Spain. isaac.martin@urjc.es; cesar.gonzalezf@urjc.es; alberto.fernandez.isabel@urjc.es; ruben.rodriguez@urjc.es; javier.cabezas@urjc.es Spanish Ministry of Economy and Competitiveness [RTC-2017-6253-1] Research supported by grant from the Spanish Ministry of Economy and Competitiveness, under the Retos-Colaboracion program: SABERMED (Ref: RTC-2017-6253-1), medical corpus provided by MMG and donation of the Titan V GPU by NVIDIA Corporation. 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NOV 2021 15 4 101188 10.1016/j.joi.2021.101188 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science WB4NH WOS:000703549900017 hybrid 2021-10-14 J Yu, DJ; Sheng, LB Yu, Dejian; Sheng, Libo Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks JOURNAL OF INFORMETRICS English Article Main path analysis; citation network; influence difference; PageRank; blockchain INTEGRATED APPROACH; BITCOIN; VOLATILITY; CRYPTOCURRENCY; PAGERANK; IMPACT; CONNECTEDNESS; INEFFICIENCY; TECHNOLOGY; SPILLOVERS Main path analysis is a useful tool to form the backbone of a citation network by linking important connections, which has been widely used to track the knowledge diffusion paths in a specific do-main. Contrary to the traditional assumption that all citations in the citation network are treated equally, this paper proposes the influence difference main path analysis model by distinguishing citations based on the prestige of citing papers. Three algorithms named search path count with PageRank (SPC-PR), search path link count with PageRank (SPLC-PR) and search path node pair with PageRank (SPNP-PR) are devised to weight the citation network in this paper. Finally, two cases, the DNA citation network and a large-scale citation network related to the blockchain do-main, are investigated to examine the effectiveness of the proposed algorithms. The results show that the proposed model can not only uncover the evolutionary process appropriately, but also can effectively distinguish the citations in the network by taking the influence difference into account. This study enriches the methodology research of main path analysis and provides the scholars with practical reference for the further development of main path analysis. [Yu, Dejian] Nanjing Audit Univ, Sch Business, Nanjing 211815, Jiangsu, Peoples R China; [Sheng, Libo] Nanjing Univ, Sch Informat Management, Nanjing 210023, Jiangsu, Peoples R China Sheng, LB (corresponding author), Nanjing Univ, Sch Informat Management, Nanjing 210023, Jiangsu, Peoples R China. yudejian62@126.com; xiwang172@foxmail.com Ministry of Education of Humanities and Social Science project [19YJC630208]; Qinglan Project of Jiangsu Province (2019); Natural Science Research Project of Jiangsu Higher Education Institutions [19KJB120008]; Humanities and Social Sciences Research Projects of Universities in Jiangsu Province [2019SJA0337] This manuscript was supported by the Ministry of Education of Humanities and Social Science project (No. 19YJC630208), the Qinglan Project of Jiangsu Province (2019), the Natural Science Research Project of Jiangsu Higher Education Institutions (19KJB120008), and the Humanities and Social Sciences Research Projects of Universities in Jiangsu Province (2019SJA0337). 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Informetr. NOV 2021 15 4 101186 10.1016/j.joi.2021.101186 18 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science WB4NH WOS:000703549900013 2021-10-14 J Brito, R; Navarro, AR Brito, Ricardo; Rodriguez Navarro, Alonso The inconsistency of h -index: A mathematical analysis JOURNAL OF INFORMETRICS English Article h index; Research assessment; Citation; Lognormal distribution Citation distributions are lognormal. We use 30 lognormally distributed synthetic series of numbers that simulate real series of citations to investigate the consistency of the h index. Using the lognormal cumulative distribution function, the equation that defines the h index can be formulated; this equation shows that h has a complex dependence on the number of papers (N). We also investigate the correlation between h and the number of papers exceeding various citation thresholds, from 5 to 500 citations. The best correlation is for the 100 threshold but numerous data points deviate from the general trend. The size-independent indicator h/N shows no correlation with the probability of publishing a paper exceeding any of the citation thresholds. In contrast with the h index, the total number of citations shows a high correlation with the number of papers exceeding the thresholds of 10 and 50 citations; the mean number of citations correlates with the probability of publishing a paper that exceeds any level of citations. Thus, in synthetic series, the number of citations and the mean number of citations are much better indicators of research performance than h and h/N. We discuss that in real citation distributions there are other difficulties. (c) 2020 Elsevier Ltd. All rights reserved. [Brito, Ricardo; Rodriguez Navarro, Alonso] Univ Complutense Madrid, Dept Estruct Mat Fis Term & Elect, Plaza Ciencias 3, Madrid 28040, Spain; [Rodriguez Navarro, Alonso] Univ Politecn Madrid, Dept Biotecnol Biol Vegetal, Ave Puerta Hierro 2, Madrid 28040, Spain Brito, R (corresponding author), Univ Complutense Madrid, Dept Estruct Mat Fis Term & Elect, Plaza Ciencias 3, Madrid 28040, Spain. brito@ucm.es; alonso.rodriguez@upm.es Brito, Ricardo/C-6236-2011 Brito, Ricardo/0000-0002-8488-6472 Spanish Ministerio de Economia y Competitividad [FIS2017-83709-R] This work was supported by the Spanish Ministerio de Economia y Competitividad (Grant number FIS2017-83709-R). 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Informetr. FEB 2021 15 1 101106 10.1016/j.joi.2020.101106 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science RC2DK WOS:000632614000014 Green Submitted 2021-10-14 J Tosi, MDL; dos Reis, JC Tosi, Mauro Dalle Lucca; dos Reis, Julio Cesar SciKGraph: A knowledge graph approach to structure a scientific field JOURNAL OF INFORMETRICS English Article Knowledge graphs; Knowledge representation; Overlap clustering; Semantic annotation; Document classification SOFTWARE; SCIENCE; TOOL Understanding the structure of a scientific domain and extracting specific information from it is laborious. The high amount of manual effort required to this end indicates that the way knowledge has been structured and visualized until the present day should be improved in software tools. Nowadays, scientific domains are organized based on citation networks or bag-of-words techniques, disregarding the intrinsic semantics of concepts presented in literature documents. We propose a novel approach to structure scientific fields, which uses semantic analysis from natural language texts to construct knowledge graphs. Then, our approach clusters knowledge graphs in their main topics and automatically extracts information such as the most relevant concepts in topics and overlapping concepts between topics. We evaluate the proposed model in two datasets from distinct areas. The results achieve up to 84% of accuracy in the task of document classification without using annotated data to segment topics from a set of input documents. Our solution identifies coherent keyphrases and key concepts considering the dataset used. The SciKGraph framework contributes by structuring knowledge that might aid researchers in the study of their areas, reducing the effort and amount of time devoted to groundwork. ? 2020 Elsevier Ltd. All rights reserved. [Tosi, Mauro Dalle Lucca] Univ Luxembourg, Fac Sci Technol & Commun, Belval, Luxembourg; [dos Reis, Julio Cesar] Univ Estadual Campinas, Inst Comp, Campinas, SP, Brazil Tosi, MDL (corresponding author), Univ Luxembourg, Fac Sci Technol & Commun, Belval, Luxembourg. mauro.dalleluccatosi@uni.lu; jreis@ic.unicamp.br Dalle Lucca Tosi, Mauro/0000-0002-0218-2413; Dos Reis, Julio Cesar/0000-0002-9545-2098 Sao Paulo Research Foundation (FAPESP)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2017/02325-5, 2013/08293-7]; Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (CAPES)Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [001] This work was financially supported by the Sao Paulo Research Foundation (FAPESP) (grants #2017/02325-5 and#2013/08293-7) and the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (CAPES) -Finance Code 001. 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In this study, we use article keywords of computer science journals and conferences, assigned by INSPEC controlled indexing, to construct a temporal scientific knowledge network. By observing keyword networks snapshots over time, we can utilize the link prediction methods to foresee the future structures of these networks. We use two different approaches for this link prediction problem. First, we have utilized three topology-based link prediction algorithms, two of which are commonly used in literature. We have also proposed a third algorithm based on nodes (keywords) clustering coefficient, their centrality measures like eigenvector centrality, and nodes community information. Then, we used nodes topological features and the outputs of aforementioned topology-based link prediction algorithms as features to feed five machine learning link prediction algorithms (SVM, Random Forest Classifier, K-Nearest Neighbors, Gaussian Naive Bayes, and Multinomial Naive Bayes). All tested predictors have shown considerable performance and their results are discussed in this paper. (C) 2020 Elsevier Ltd. All rights reserved. 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Informetr. NOV 2020 14 4 101079 10.1016/j.joi.2020.101079 16 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science PL1EE WOS:000602873300014 2021-10-14 J Drivas, K; Kaplanis, I Drivas, Kyriakos; Kaplanis, Ioannis The role of international collaborations in securing the patent grant JOURNAL OF INFORMETRICS English Article International collaborations; Likelihood of patent grant; USPTO; Continuing patent applications; Patent assignments MARKET VALUE; INNOVATION; OFFICE; INVENTORS Our study examines whether patent applications with international collaborations are more likely to be awarded a US patent than applications without. The analysis focuses on the population (almost half a million) of patent applications over the period 2001-2009 at the USPTO and disclosed at least one EU located inventor and explicitly distinguish between countries with high and low number of patent applications. There are four important findings. First, inventor teams are more likely to be issued a patent than single inventors. Second, the presence of a US entity, either as inventor or owner, plays an important role in securing the grant. Third, for low innovative countries, international collaborations matter more for the likelihood of securing the patent grant than high innovative countries. Fourth, intense prosecution efforts will result to higher probability of patent grant. This paper adds to the growing literature that examines from the innovator's viewpoint the likelihood of securing the patent grant. (C) 2020 Elsevier Ltd. All rights reserved. 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Informetr. NOV 2020 14 4 101093 10.1016/j.joi.2020.101093 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science PL1EJ WOS:000602873800003 Green Submitted 2021-10-14 J Ruan, XM; Zhu, YY; Li, J; Cheng, Y Ruan, Xuanmin; Zhu, Yuanyang; Li, Jiang; Cheng, Ying Predicting the citation counts of individual papers via a BP neural network JOURNAL OF INFORMETRICS English Article Citation prediction; Neural network; XGBoost; Linear regression LEARNING-MODELS; IMPACT; PUBLICATION; ARTICLES; FEATURES; RATES Predicting the citation counts of academic papers is of considerable significance to scientific evaluation. This study used a four-layer Back Propagation (BP) neural network model to predict the five-year citations of 49,834 papers in the library, information and documentation field indexed by the CSSCI database and published from 2000 to 2013. We extracted six paper features, two journal features, nine author features, eight reference features, and five early citation features to make the prediction. The empirical experiments showed that the performance of the BP neural network is significantly better than those of the six baseline models. In terms of the prediction effect, the accuracy of the model at predicting infrequently cited papers was higher than that for frequently cited ones. We determined that five essential features have significant effects on the prediction performance of the model, i.e., 'citations in the first two years', 'first-cited age', 'paper length', 'month of publication', and 'self-citations of journals', and the other features contribute only slightly to the prediction. (C) 2020 Elsevier Ltd. All rights reserved. [Ruan, Xuanmin; Li, Jiang; Cheng, Ying] Nanjing Univ, Sch Informat Management, Nanjing 210023, Peoples R China; [Zhu, Yuanyang] Nanjing Univ, Sch Management & Engn, Nanjing 210023, Peoples R China Cheng, Y (corresponding author), Nanjing Univ, Sch Informat Management, Nanjing 210023, Peoples R China. chengy@nju.edu.cn Zhu, Yuanyang/0000-0001-7484-1804 National Social Science Foundation of China [17BTQ014] This work was partially supported by the National Social Science Foundation of China (17BTQ014). 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Informetr. AUG 2020 14 3 101039 10.1016/j.joi.2020.101039 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science NN5JF WOS:000568824100002 2021-10-14 J Wang, X; Zhang, ZH Wang, Xing; Zhang, Zhihui Improving the reliability of short-term citation impact indicators by taking into account the correlation between short-and long-term citation impact JOURNAL OF INFORMETRICS English Article Citation time window; Field normalization; Scientometrics; Crown indicator; New crown indicator; Research evaluation RESEARCH INSTITUTIONS; PRODUCTIVITY RANKINGS; SENSITIVITY-ANALYSIS; COUNTS; TIME; PREDICT; DISTRIBUTIONS; UNIVERSALITY; CHEMISTRY; ARTICLES The normalized citation indicator may not be sufficiently reliable when a short citation time window is used, because the citation counts for recently published papers are not as reliable as those for papers published many years ago. In a limited time period, recent publications usually have insufficient time to accumulate citations and the citation counts of these publications are not sufficiently reliable to be used in the citation impact indica-tors. However, normalization methods themselves cannot solve this problem. To solve this problem, we introduce a weighting factor to the commonly used normalization indicator Category Normalized Citation Impact (CNCI) at the paper level. The weighting factor, which is calculated as the correlation coefficient between citation counts of papers in the given short citation window and those in the fixed long citation window, reflects the degree of reliability of the CNCI value of one paper. To verify the effect of the proposed weighted CNCI indicator, we compared the CNCI score and CNCI ranking of 500 universities before and after introducing the weighting factor. The results showed that although there was a strong positive correlation before and after the introduction of the weighting factor, some universities' performance and rankings changed dramatically. (C) 2020 Elsevier Ltd. All rights reserved. [Wang, Xing] Shanxi Univ Finance & Econ, Sch Informat, Taiyuan 030006, Peoples R China; [Zhang, Zhihui] CNKI Inc, Beijing 100192, Peoples R China Wang, X (corresponding author), Shanxi Univ Finance & Econ, Sch Informat, Taiyuan 030006, Peoples R China. wangxing@sjtu.edu.cn MOE (Ministry of Education in China) Project of Humanities and Social Science [17YJCZH179] This research was supported by MOE (Ministry of Education in China) Project of Humanities and Social Science (Project No. 17YJCZH179). 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S., 2012, NUMBER SCI PAPERS CH; Zitt M, 2008, J AM SOC INF SCI TEC, V59, P1856, DOI 10.1002/asi.20880 49 1 1 9 19 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. MAY 2020 14 2 101019 10.1016/j.joi.2020.101019 17 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science NG7GI WOS:000564148300012 2021-10-14 J Bianchi, F; Grimaldo, F; Squazzoni, F Bianchi, Federico; Grimaldo, Francisco; Squazzoni, Flaminio The F-3-index. Valuing reviewers for scholarly journals JOURNAL OF INFORMETRICS English Review RANKING; ALGORITHMS; ECONOMICS; ATTITUDES; REFEREES; INCREASE This paper presents an index that measures reviewer contribution to editorial processes of scholarly journals. Following a metaphor of ranking algorithms in sports tournaments, we created an index that considers reviewers on different context-specific dimensions, i.e., report delivery time, the length of the report and the alignment of recommendations to editorial decisions. To test the index, we used a dataset of peer review in a multi-disciplinary journal, including 544 reviewers on 606 submissions in six years. Although limited by sample size, the test showed that the index identifies outstanding contributors and weak performing reviewers efficiently. Our index is flexible, contemplates extensions and could be incorporated into available scholarly journal management tools. It can assist editors in rewarding high performing reviewers and managing editorial turnover. (C) 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC [Bianchi, Federico; Squazzoni, Flaminio] Univ Milan, Dept Social & Polit Sci, Milan, Italy; [Grimaldo, Francisco] Univ Valencia, Dept Comp Sci, Valencia, Spain Squazzoni, F (corresponding author), Univ Milan, Dept Social & Polit Sci, Milan, Italy. Flaminio.squazzoni@unimi.it Bianchi, Federico/X-2634-2018 Bianchi, Federico/0000-0002-7473-1928; Squazzoni, Flaminio/0000-0002-6503-6077 COST ActionEuropean Cooperation in Science and Technology (COST) [TD1306] This work was partially supported by the COST Action TD1306 -New Frontiers of Peer Review (2014-2018). A preliminary version of this manuscript has been presented to the PEERE International Conference on Peer Review, CNR, Rome, 7-9 March 2018. 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FEB 2019 13 1 78 86 10.1016/j.joi.2018.11.007 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HN9WK WOS:000460550800006 hybrid, Green Published 2021-10-14 J Thelwall, M; Bailey, C; Makita, M; Sud, P; Madalli, DP Thelwall, Mike; Bailey, Carol; Makita, Meiko; Sud, Pardeep; Madalli, Devika P. Gender and research publishing in India: Uniformly high inequality? JOURNAL OF INFORMETRICS English Article Research publishing; Gender inequality; India; Disciplines; Academic fields WORK-ENVIRONMENT; HIGHER-EDUCATION; WOMEN; SCIENCE; AUTHORSHIP; ORDER; TECHNOLOGY; INSTITUTES; CONGRUITY; EQUALITY Women's access to academic careers has been historically limited by discrimination and cultural constraints. Comprehensive information about gender inequality within disciplines is needed to understand the problem and target remedial action. India is the fifth largest research producer but has a low international index of gender inequality and so is an important case. This study assesses gender inequalities in Indian journal article publishing in 2017 for 186 research fields. It also seeks overall gender differences in interests across academia by comparing the terms used in 27,710 articles with an Indian male or female first author. The data show that there are at least 1.5 male first authors per female first author in each of 26 broad fields and 2.8 male first authors per female first author overall. Compared to the USA, India has a much lower share of female first authors but smaller variations in gender differences between broad fields. Dentistry, Economics and Maths are all more female in India, but Veterinary is much less female than in the USA. There is a tendency for males to research thing-oriented topics and for females to research helping people and some life science topics. More initiatives to promote gender equality in science are needed to address the overall imbalance, but care should be taken to avoid creating the larger between-field gender differences found in the USA. (C) 2018 Elsevier Ltd. All rights reserved. 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Informetr. FEB 2019 13 1 118 131 10.1016/j.joi.2018.12.003 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HN9WK WOS:000460550800009 Green Submitted 2021-10-14 J Megnigbeto, E Megnigbeto, Eustache Modelling the Triple Helix of university-industry-government relationships with game theory: Core, Shapley value and nucleolus as indicators of synergy within an innovation system JOURNAL OF INFORMETRICS English Article Triple Helix; Innovation; Synergy; Game theory; Core; Nucleolus; Shapley value RESEARCH COLLABORATION; IMPACT; KNOWLEDGE; EVOLUTION; THINKING; FUTURE The Triple Helix of university-industry-government relationships is a three-person cooperative game with transferable utility. The core, the Shapley value and the nucleolus are suggested as indicators to measure the synergy between innovation actors. The core is the expression of actors' interests and constraints exerted on them; it measures the extent of the synergy. The Shapley value indicates actors' strength to lead to and create synergy; and the nucleolus determines the power of coalitions to maintain synergy. The Triple Helix games of the South Korean and the West African innovation systems are studied, based on bibliographic data collected from Web of Science over a ten-year period (2001-2010). Results show that the core of South Korea is larger than that of West Africa, meaning that synergy occurs more within the South Korean innovation system than in the West African one. University has more power to lead to and create synergy and coalitions involving government work in order to maintain synergy. (C) 2018 Elsevier Ltd. All rights reserved. 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NOV 2018 12 4 1118 1132 10.1016/j.joi.2018.09.005 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science HB5CH WOS:000451074800009 Green Accepted 2021-10-14 J An, J; Kim, K; Mortara, L; Lee, S An, Jaehyeong; Kim, Kyuwoong; Mortara, Letizia; Lee, Sungjoo Deriving technology intelligence from patents: Preposition-based semantic analysis JOURNAL OF INFORMETRICS English Article Technology intelligence; Technology search; Technology trends; Patent analysis; Semantic; Preposition; Text mining; Key-words; Text mining RESEARCH-AND-DEVELOPMENT; SOCIAL NETWORK ANALYSIS; TEXT-MINING APPROACH; INFORMATION; IDENTIFICATION; STRATEGY; TRENDS; INDICATORS; INNOVATION; DOCUMENTS Patents are one of the most reliable sources of technology intelligence, and the true value of patent analysis stems from its capability of describing the content of technology based on the relationships between keywords. To date a number of techniques for analyzing the information contained in patent documents that focus on the relationships between keywords have been suggested. However, a drawback of the existing keyword approaches is that they cannot yet determine the types of relationships between the keywords. This study proposes a novel approach based on preposition semantic analysis network which overcomes the limitations of the existing keywords-based network analysis and demonstrates its potential through an application. A preposition is a word that defines the relationship between two neighboring words, and, in the case of patents, prepositions aid in revealing the relationships between keywords related to technologies. To demonstrate the approach, patents regarding an electric vehicle were employed. 13 prepositions were identified which could be used to define 5 relationships between neighboring technological terms: "inclusion (utilization)," "objective (purpose)," "effect," "process," and "likeness." The proposed approach is expected to improve the usability of keyword-based patent analyses and support more elaborate studies on patent documents. (C) 2018 Elsevier Ltd. All rights reserved. [An, Jaehyeong] Hyundai NGV, Technol Intelligence Team, Gwanak Ro 1, Seoul 08826, South Korea; [Kim, Kyuwoong; Lee, Sungjoo] Ajou Univ, Dept Ind Engn, Worldcup Ro 206, Suwon 16499, South Korea; [Mortara, Letizia] Univ Cambridge, Dept Engn, Inst Mfg, Ctr Technol Management, Alan Reece Bldg,17 Charles Babbage Rd, Cambridge CB3 0FS, England Lee, S (corresponding author), Ajou Univ, Dept Ind Engn, Worldcup Ro 206, Suwon 16499, South Korea. jaehyeongan@hyundai-ngv.com; dongul@ajou.ac.kr; lm367@cam.ac.uk; sungjoo@ajou.ac.kr Lee, Sungjoo/R-4279-2019; Mortara, Letizia/I-5321-2012 Mortara, Letizia/0000-0003-0461-5339 National Research Foundation of Korea (NRF) Grant - Korea government (MSIP) [NRF-2013R1A2A2A03016904]; Ajou University [S-2015-G0001-00333] This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIP) (NRF-2013R1A2A2A03016904) and also by the Ajou University research fund (grant number: S-2015-G0001-00333). 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Informetr. FEB 2018 12 1 217 236 10.1016/j.joi.2018.01.001 20 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FZ3ID WOS:000427479800016 Green Submitted 2021-10-14 J Thelwall, M Thelwall, Mike Microsoft Academic automatic document searches: Accuracy for journal articles and suitability for citation analysis JOURNAL OF INFORMETRICS English Article Microsoft Academic; Citation analysis; Article-level citation analysis; Scientometrics OMITTED CITATIONS; GOOGLE-SCHOLAR; BIBLIOMETRIC DATABASES; SCIENCE; SCOPUS; INDICATORS; INDEX; WEB Microsoft Academic is a free academic search engine and citation index that is similar to Google Scholar but can be automatically queried. Its data is potentially useful for bibliometric analysis if it is possible to search effectively for individual journal articles. This article compares different methods to find journal articles in its index by searching for a combination of title, authors, publication year and journal name and uses the results for the widest published correlation analysis of Microsoft Academic citation counts for journal articles so far. Based on 126,312 articles from 323 Scopus subfields in 2012, the optimal strategy to find articles with DOIs is to search for them by title and filter out those with incorrect DOIs. This finds 90% of journal articles. For articles without DOIs, the optimal strategy is to search for them by title and then filter out matches with dissimilar metadata. This finds 89% of journal articles, with an additional 1% incorrect matches. The remaining articles seem to be mainly not indexed by Microsoft Academic or indexed with a different language version of their title. From the matches, Scopus citation counts and Microsoft Academic counts have an average Spearman correlation of 0.95, with the lowest for any single field being 0.63. Thus, Microsoft Academic citation counts are almost universally equivalent to Scopus citation counts for articles that are not recent but there are national biases in the results. (C) 2017 Elsevier Ltd. All rights reserved. [Thelwall, Mike] Univ Wolverhampton, Stat Cybermetr Res Grp, Wolverhampton, W Midlands, England Thelwall, M (corresponding author), Univ Wolverhampton, Stat Cybermetr Res Grp, Wolverhampton, W Midlands, England. m.thelwall@wlv.ac.uk Thelwall, Mike/C-1449-2013 Thelwall, Mike/0000-0001-6065-205X Lopez-Cozar ED, 2014, J ASSOC INF SCI TECH, V65, P446, DOI 10.1002/asi.23056; Falagas ME, 2008, FASEB J, V22, P338, DOI 10.1096/fj.07-9492LSF; Franceschini F, 2016, SCIENTOMETRICS, V107, P321, DOI 10.1007/s11192-016-1867-8; Franceschini F, 2015, SCIENTOMETRICS, V103, P1083, DOI 10.1007/s11192-015-1583-9; Franceschini F, 2015, SCIENTOMETRICS, V102, P2181, DOI 10.1007/s11192-014-1503-4; Franceschini F, 2014, J INFORMETR, V8, P751, DOI 10.1016/j.joi.2014.07.003; Franceschini F, 2013, J AM SOC INF SCI TEC, V64, P2149, DOI 10.1002/asi.22898; Harzing AW, 2017, SCIENTOMETRICS, V110, P371, DOI 10.1007/s11192-016-2185-x; Herrmannova D., 2016, D LIB MAGAZINE, V22; Hug S. 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Informetr. FEB 2018 12 1 1 9 10.1016/j.joi.2017.11.001 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FZ3ID WOS:000427479800001 Green Submitted 2021-10-14 J Robinson-Garcia, N; Mongeon, P; Jeng, W; Costas, R Robinson-Garcia, Nicolas; Mongeon, Philippe; Jeng, Wei; Costas, Rodrigo DataCite as a novel bibliometric source: Coverage, strengths and limitations JOURNAL OF INFORMETRICS English Article Data sharing; Data citations; Bibliometric sources; Open data; Data infrastructure; Data metrics; DataCite This paper explores the characteristics of DataCite to determine its possibilities and potential as a new bibliometric data source to analyze the scholarly production of open data. Open science and the increasing data sharing requirements from governments, funding bodies, institutions and scientific journals has led to a pressing demand for the development of data metrics. As a very first step towards reliable data metrics, we need to better comprehend the limitations and caveats of the information provided by sources of open data. In this paper, we critically examine records downloaded from the DataCite's OAI API and elaborate a series of recommendations regarding the use of this source for bibliometric analyses of open data. We highlight issues related to metadata incompleteness, lack of standardization, and ambiguous definitions of several fields. Despite these limitations, we emphasize DataCite's value and potential to become one of the main sources for data metrics development. (C) 2017 Elsevier Ltd. All rights reserved. [Robinson-Garcia, Nicolas] Univ Politecn Valencia, CSIC, INGENIO, Valencia, Spain; [Mongeon, Philippe] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ, Canada; [Jeng, Wei] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei, Taiwan; [Costas, Rodrigo] Leiden Univ, CWIS, Leiden, Netherlands; [Costas, Rodrigo] Stellenbosch Univ, CREST, Private Bag X1, ZA-7602 Matieland, South Africa Robinson-Garcia, N (corresponding author), Univ Politecn Valencia, CSIC, INGENIO, Valencia, Spain. elrobin@ingenio.upv.es; philippe.mongeon@umontreal.ca; wjeng@ntu.edu.tw; rcostas@cwis.leidenuni.nl Robinson-Garcia, Nicolas/B-3590-2012; Mongeon, Philippe/H-1446-2012 Robinson-Garcia, Nicolas/0000-0002-0585-7359; Mongeon, Philippe/0000-0003-1021-059X; Costas, Rodrigo/0000-0002-7465-6462 European Commission project Monitoring the evolution and benefits of Responsible Research and Innovation (MoRRI) [RTD-B6-00964-2013]; Juan de la Cierva-Formacion grant from the Spanish Ministry of Economy and Competitiveness Preliminary results of this paper were reported at the 3: AM Conference held in Bucharest (Romania), 27-29 September, 2016. The authors would like to thank Henri de Winter from CWTS for helping in the retrieval of the data and Kristian Garzafrom DataCite for fruitful and helpful discussions on points of access to DataCite and structure of records. The two anonymous reviewers are also thanked for their constructive comments and recommendations. This study has been partially supported by the European Commission project RTD-B6-00964-2013 Monitoring the evolution and benefits of Responsible Research and Innovation (MoRRI). Nicolas Robinson-Garcia is currently supported by a Juan de la Cierva-Formacion grant from the Spanish Ministry of Economy and Competitiveness. 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AUG 2017 11 3 841 854 10.1016/j.joi.2017.07.003 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science FG6UG WOS:000410528900024 Green Submitted 2021-10-14 J Albarran, P; Herrero, C; Ruiz-Castillo, J; Villar, A Albarran, Pedro; Herrero, Carmen; Ruiz-Castillo, Javier; Villar, Antonio The Herrero-Villar approach to citation impact JOURNAL OF INFORMETRICS English Article Citation impact; Additive rules; Tournaments; Relative research performance; Worth BIBLIOMETRIC RANKINGS; RELATIVE IMPACTS; INDICATORS; PUBLICATIONS; PERCENTILES; JOURNALS; WORKING This paper focuses on the evaluation of research institutions in terms of size-independent indicators. There are well-known procedures in this context, such as what we call additive rules, which provide an evaluation of the impact of any research unit in a scientific field based upon a partition of the field citations into ordered categories, along with some external weighting system to weigh those categories. We introduce here a new ranking procedure that is not an additive rule - the HV procedure, after Herrero & Villar (2013) - and compare it those conventional evaluation rules within a common setting. Given a set of ordered categories, the HV procedure measures the performance of the different research units in terms of the relative probability of getting more citations. The HV method also provides a complete, transitive and cardinal evaluation, without recurring to any external weighting scheme. Using a large dataset of publications in 22 scientific fields assigned to 40 countries, we compare the performance of several additive rules - the Relative Citation Rate, four percentile-based ranking procedures, and two average-based high-impact indicators - and the corresponding HV procedures under the same set of ordered categories. Comparisons take into account re-rankings, and differences in the outcome variability, measured by the coefficient of variation, the range, and the ratio between the maximum and minimum index values. (C) 2017 Elsevier Ltd. All rights reserved. [Albarran, Pedro; Herrero, Carmen] Univ Alicante, Dept Fundamentos Anal Econ, Alicante, Spain; [Herrero, Carmen; Villar, Antonio] IVIE, Valencia, Spain; [Ruiz-Castillo, Javier] Univ Carlos III, Dept Econ, Madrid, Spain; [Villar, Antonio] Univ Pablo de Olavide, Dept Econ, Seville, Spain Ruiz-Castillo, J (corresponding author), Univ Carlos III, Dept Econ, Madrid, Spain. jrc@eco.uc3m.es Ruiz-Castillo, Javier/O-8180-2019; Albarran, Pedro/K-9569-2014; HERRERO, CARMEN/Y-3693-2018 Santander Universities Global Division of Banco Santander; Spanish MECSpanish Government [ECO2014-58434-P, ECO2015-65820-P, ECO2014-55953-P, S2015/HUM-3444, ECO2015-65408-R]; Generalitat Valenciana under PROMETEO [2013/037]; grant MDM from the Comunidad Autonoma de Madrid [2014-0431] The dataset has been acquired thanks to a grant by Santander Universities Global Division of Banco Santander. P. Albarran acknowledges financial support from the Spanish MEC through grant ECO2014-58434-P. C. Herrero acknowledges financial support from Generalitat Valenciana under PROMETEO 2013/037, and from the Spanish MEC under project ECO2015-65820-P. J. Ruiz-Castillo acknowledges financial support from the Spanish MEC through grant ECO2014-55953-P, as well as grant MDM 2014-0431 to his Departamento de Economia, and grant MadEco-CM (S2015/HUM-3444) from the Comunidad Autonoma de Madrid. A. Villar acknowledges financial support from the Spanish MEC under project ECO2015-65408-R (MINECO/FEDER). Thanks are due to two anonymous referees for very helpful comments. All remaining shortcomings are the authors' sole responsibility. 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Informetr. MAY 2017 11 2 625 640 10.1016/j.joi.2017.04.008 16 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EY3FO WOS:000403857200022 Green Submitted 2021-10-14 J Andersen, JP Andersen, Jens Peter An empirical and theoretical critique of the Euclidean index JOURNAL OF INFORMETRICS English Article Citation analysis; Evaluative bibliometrics; Euclidean index; h-Index; Micro-level bibliometrics; Author evaluation; Indicator validation; Indicator stability H-INDEX; CITATION; INDICATORS; SCIENCE; IMPACT The recently proposed Euclidean index offers a novel approach to measure the citation impact of academic authors, in particular as an alternative to the h-index. We test if the index provides new, robust information, not covered by existing bibliometric indicators, discuss the measurement scale and the degree of distinction between analytical units the index offers. We find that the Euclidean index does not outperform existing indicators on these topics and that the main application of the index would be solely for ranking, which is not seen as a recommended practice. (C) 2017 Elsevier Ltd. All rights reserved. [Andersen, Jens Peter] Aarhus Univ, Danish Ctr Studies Res & Res Policy, Bartholins 7, DK-8000 Aarhus C, Denmark Andersen, JP (corresponding author), Aarhus Univ, Danish Ctr Studies Res & Res Policy, Bartholins 7, DK-8000 Aarhus C, Denmark. jpa@ps.au.dk Andersen, Jens Peter/H-4247-2019 Andersen, Jens Peter/0000-0003-2444-6210 Bollen J, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006022; Bornmann L, 2008, J AM SOC INF SCI TEC, V59, P830, DOI 10.1002/asi.20806; Braun T, 2006, SCIENTOMETRICS, V69, P169, DOI 10.1007/s11192-006-0147-4; Canty A, 2015, BOOT BOOTSTRAP R S P, P3; Caron E., 2014, P SCI TECHN IND C 20; Costas R, 2008, SCIENTOMETRICS, V77, P267, DOI 10.1007/s11192-007-1997-0; Costas R, 2010, J AM SOC INF SCI TEC, V61, P1564, DOI 10.1002/asi.21348; Davison A. 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Informetr. MAY 2017 11 2 455 465 10.1016/j.joi.2017.02.009 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EY3FO WOS:000403857200008 Green Submitted 2021-10-14 J Yin, Y; Wang, DS Yin, Yian; Wang, Dashun The time dimension of science: Connecting the past to the future JOURNAL OF INFORMETRICS English Article SCIENTIFIC LITERATURE; SLEEPING BEAUTIES; CITATION AGE; MODEL; OBSOLESCENCE; INDIVIDUALS; PUBLICATION; REFERENCES; ADVANTAGE; EVOLUTION A central question in science of science concerns how time affects citations. Despite the long-standing interests and its broad impact, we lack systematic answers to this simple yet fundamental question. By reviewing and classifying prior studies for the past 50 years, we find a significant lack of consensus in the literature, primarily due to the coexistence of retrospective and prospective approaches to measuring citation age distributions. These two approaches have been pursued in parallel, lacking any known connections between the two. Here we developed a new theoretical framework that not only allows us to,connect the two approaches through precise mathematical relationships, it also helps us reconcile the interplay between temporal decay of citations and the growth of science, helping us uncover new functional forms characterizing citation age distributions. We find retrospective distribution follows a lognormal distribution with exponential cutoff, while prospective distribution is governed by the interplay between a lognormal distribution and the growth in the number of references. Most interestingly, the two approaches can be connected once rescaled by the growth of publications and citations. We further validate our framework using both large-scale citation datasets and analytical models capturing citation dynamics. Together this paper presents a comprehensive analysis of the time dimension of science, representing a new empirical and theoretical basis for all future studies in this area. (C) 2017 Elsevier Ltd. All rights reserved. [Yin, Yian; Wang, Dashun] Northwestern Univ, Northwest Inst Complex Syst & Data Sci NICO, Evanston, IL 60208 USA; [Yin, Yian; Wang, Dashun] Northwestern Univ, McCormick Sch Engn & Appl Sci, Evanston, IL 60208 USA; [Wang, Dashun] Northwestern Univ, Kellogg Sch Management, Evanston, IL 60208 USA Wang, DS (corresponding author), Northwestern Univ, Kellogg Sch Management, Evanston, IL 60208 USA. dashun.wang@northwestern.edu Yin, Yian/0000-0003-3018-4544 Air Force Office of Scientific ResearchUnited States Department of DefenseAir Force Office of Scientific Research (AFOSR) [FA9550-15-1-0162, FA9550-17-1-0089] The authors wish to thank Zhen Lei, Chaoming Song, and A.-L. Barabasi for helpful discussions. This work is supported by the Air Force Office of Scientific Research under award number FA9550-15-1-0162 and FA9550-17-1-0089. 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Informetr. MAY 2017 11 2 608 621 10.1016/j.joi.2017.04.002 14 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science EY3FO WOS:000403857200020 Green Submitted 2021-10-14 J Niu, QK; Zhou, JL; Zeng, A; Fan, Y; Di, ZR Niu, Qikai; Zhou, Jianlin; Zeng, An; Fan, Ying; Di, Zengru Which publication is your representative work? JOURNAL OF INFORMETRICS English Article Representative work; Self-avoiding preferential diffusion; Citation networks RANKING SCIENTIFIC PUBLICATIONS; PAGERANK; NETWORKS; SCIENCE; IMPACT As much effort has been made to accelerate the publication of research results, nowadays the number of papers per scientist is much larger than before. In this context, how to identify the representative work for individual researcher is an important yet uneasy problem. Addressing it will help policy makers better evaluate the achievement and potential of researchers. So far, the representative work of a researcher is usually selected as his/her most highly cited paper or the paper published in top journals. Here, we consider the representative work of a scientist as an important paper in his/her area of expertise. Accordingly, we propose a self-avoiding preferential diffusion process to generate personalized ranking of papers for each scientist and identify their representative works. The citation data from American Physical Society (APS) are used to validate our method. We find that the self avoiding preferential diffusion method can rank the Nobel prize winning paper in each Nobel laureate's personal ranking list higher than the citation count and PageRank methods, indicating the effectiveness of our method. Moreover, the robustness analysis shows that our method can highly rank the representative papers of scientists even if partial citation data are available or spurious behaviors exist. The method is finally applied to revealing the research patterns (i.e. consistency-oriented or diversity-oriented) of different scientists, institutes and countries. (C) 2016 Elsevier Ltd. All rights reserved. [Niu, Qikai; Zhou, Jianlin; Zeng, An; Fan, Ying; Di, Zengru] Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China Zeng, A (corresponding author), Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China. anzeng@bnu.edu.cn; yfan@bnu.edu.cn National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61374175, 61174150, 11547188]; Young Scholar Program of Beijing Normal University [2014NT38] We thank Dr. Chi Ho Yeung for helpful discussion. This work is supported by the National Natural Science Foundation of China under Grant Nos. 61374175, 61174150 and 11547188, the Young Scholar Program of Beijing Normal University (2014NT38). 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Informetr. AUG 2016 10 3 842 853 10.1016/j.joi.2016.06.001 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DU6HK WOS:000382314900011 2021-10-14 J Waltman, L Waltman, Ludo Special section on size-independent indicators in citation analysis JOURNAL OF INFORMETRICS English Editorial Material [Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands Waltman, L (corresponding author), Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands. waltmanlr@cwts.leidenuniv.nl Waltman, Ludo/B-5561-2008 Waltman, Ludo/0000-0001-8249-1752 0 3 3 1 7 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. MAY 2016 10 2 645 645 10.1016/j.joi.2016.04.001 1 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DN9QD WOS:000377413800023 2021-10-14 J Jeong, YK; Heo, GE; Kang, KY; Yoon, DS; Song, M Jeong, Yoo Kyung; Heo, Go Eun; Kang, Keun Young; Yoon, Dong Sup; Song, Min Trajectory analysis of drug-research trends in pancreatic cancer on PubMed and ClinicalTrials.gov JOURNAL OF INFORMETRICS English Article Pancreatic cancer; Text mining; Bibliometric analysis; Data analysis; Information extraction CONTINUOUS-INFUSION 5-FLUOROURACIL; PHASE-II TRIAL; CELL ADHESION; GEMCITABINE; CAPECITABINE; CHEMOTHERAPY; COMBINATION; CARCINOMA; KNOWLEDGE; CETUXIMAB Increasing interest in developing treatments for pancreatic cancer has led to a surge in publications in the field. Analyses of drug-research trends are needed to minimize risk in anti-cancer drug development. Here, we analyzed publications on anti-cancer drugs extracted from PubMed records and ClinicalTrials datasets. We conducted a drug cluster analysis by proposing the entity Dirichlet Multinomial Regression (eDMR) technique and in-depth network analysis of drug cluster and target proteins. The results show two distinct research clusters in both the ClinicalTrials dataset and the PubMed records. Specifically, various targets associated with anti-cancer drugs are investigated in new drug testing while the diverse chemicals are studied together with a standard therapeutic agent in the academic literature. In addition, our study confirms that drug research published in PubMed is preceded by clinical trials. Although we only evaluate drugs for pancreatic cancer in the present study, our method can be applied to drug-research trends of other diseases. (C) 2016 Elsevier Ltd. All rights reserved. [Jeong, Yoo Kyung; Heo, Go Eun; Kang, Keun Young; Song, Min] Yonsei Univ, Dept Lib & Informat Sci, 50 Yonsei Ro, Seoul 120749, South Korea; [Yoon, Dong Sup] Yonsei Univ, Coll Med, Gangnam Severance Hosp, Pancreatobiliary Canc Clin,Dept Surg, Seoul, South Korea Song, M (corresponding author), Yonsei Univ, Dept Lib & Informat Sci, 50 Yonsei Ro, Seoul 120749, South Korea. min.song@yonsei.ac.kr Yoon, Dong Sup/0000-0001-6444-9606; Song, Min/0000-0003-3255-1600 Bio-Synergy Research Project of the Ministry of Science, ICT, and Future Planning through the National Research Foundation [NRF-2013M3A9C4078138]; Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [NRF-2012M3C4A7033342] This work was supported by the Bio-Synergy Research Project (NRF-2013M3A9C4078138) of the Ministry of Science, ICT, and Future Planning through the National Research Foundation and by Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2012M3C4A7033342). 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Informetr. FEB 2016 10 1 273 285 10.1016/j.joi.2016.01.003 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DG2ZF WOS:000371938600023 2021-10-14 J Chen, SJ; Arsenault, C; Lariviere, V Chen, Shiji; Arsenault, Clement; Lariviere, Vincent Are top-cited papers more interdisciplinary? JOURNAL OF INFORMETRICS English Article Interdisciplinarity; Percentile rank classes; Citation distribution; Top cited papers MULTIDISCIPLINARY RESEARCH; SCIENCE; IMPACT; COLLABORATION; INNOVATION; INDICATOR; FRAMEWORK; BUSINESS; RANKINGS; LIBRARY Over the last decade, the relationship between interdisciplinarity and scientific impact has been the focus of many bibliometric papers, with diverging results. This paper aims at contributing to this body of research, by analyzing the level of interdisciplinarity, compiled with the Simpson Index, of the top 1% most highly cited papers and of papers with lower citation percentile ranks. Results shows that the top 1% most cited papers exhibit higher levels of interdisciplinarity than papers in other citation rank classes and that this relationship is observed in more than 90% of NSF specialties. This suggests that interdisciplinary research plays a more important role in generating high impact knowledge. (C) 2015 Elsevier Ltd. All rights reserved. [Chen, Shiji] China Agr Univ Lib, Beijing, Peoples R China; [Arsenault, Clement] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ H3C 3J7, Canada; [Lariviere, Vincent] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ, Canada; [Lariviere, Vincent] Univ Quebec, OST, CIRST, Montreal, PQ H3C 3P8, Canada Arsenault, C (corresponding author), Univ Montreal, Ecole Bibliothecon & Sci Informat, CP 6128,Succ Ctr Ville, Montreal, PQ H3C 3J7, Canada. shiji.chen@outlook.com; clement.arsenault@umontreal.ca; vincent.lariviere@umontreal.ca Lariviere, Vincent/AAF-3179-2019 Youth Foundation for Humanities and Social Sciences of Ministry of Education of China [13YJC870001]; National Social Science Foundation of China [15BTQ070]; Fonds Recherche Quebec-Societe et Culture This study is partly funded by the Youth Foundation for Humanities and Social Sciences of Ministry of Education of China (No. 13YJC870001), the National Social Science Foundation of China (No. 15BTQ070) and the Fonds Recherche Quebec-Societe et Culture. 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Informetr. OCT 2015 9 4 1034 1046 10.1016/j.joi.2015.09.003 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science DA2GF WOS:000367612600027 2021-10-14 J Vardakas, KZ; Tsopanakis, G; Poulopoulou, A; Falagas, ME Vardakas, Konstantinos Z.; Tsopanakis, Grigorios; Poulopoulou, Alexandra; Falagas, Matthew E. An analysis of factors contributing to PubMed's growth JOURNAL OF INFORMETRICS English Article PubMed; Literature; Bibliometric; Citation; Publication; Journal article BIBLIOMETRIC ANALYSIS; IMPACT FACTOR; OPEN ACCESS; GOOGLE-SCHOLAR; PUBLICATION; CITATIONS; SCIENCE; TRENDS; PRODUCTIVITY; COUNTRIES We studied the factors ( recent and older journals, publication types, electronic or print form, open or subscription access, funding, affiliation, language and home country of publisher) that contributed to the growth of literature in Biomedical and Life Sciences as reflected in PubMed in the period 2004-2013. Only records indexed as journal articles were studied. 7364,633 journal articles were added in PubMed between 2004 and 2013 (48.9% increase from 2003). Recently launched journals showed the greater increase in published articles, but older journals contributed the greater number of articles. The observed growth was mainly attributed to articles to which no other PubMed publication type was assigned. Articles available in both print and electronic form increased substantially (61.1%). Both open (80.8%) and subscription access (54.7%) articles increased significantly. Funding from nonUS government sources also contributed significantly (74.5%). Asian (114%) and European (34.9%) first author affiliation increased at a higher rate than American publications (7.9%). English remained the predominant language of publications. USA- and England-based organizations published a gradually increasing body of literature. Open access, non-US government funding and Asian origin of the first author were the factors contributing to literature growth as depicted in PubMed. A better assignment of publication types is required. (C) 2015 Elsevier Ltd. All rights reserved. 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Informetr. JUL 2015 9 3 592 617 10.1016/j.joi.2015.06.001 26 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CQ9CB WOS:000360907400017 2021-10-14 J Chakraborty, T; Tammana, V; Ganguly, N; Mukherjee, A Chakraborty, Tanmoy; Tammana, Vihar; Ganguly, Niloy; Mukherjee, Animesh Understanding and modeling diverse scientific careers of researchers JOURNAL OF INFORMETRICS English Article Scientific career; Diversity; Stochastic model ACADEMIC DISCIPLINES; MOBILITY; FIELDS This paper analyzes the diverse scientific careers of researchers in order to understand the key factors that could lead to a successful career. Essentially, we intend to answer some specific questions pertaining to a researcher's scientific career - What are the local and the global dynamics regulating a researcher's decision to select a new field of research at different points of her entire career? What are the suitable quantitative indicators to measure the diversity of a researcher's scientific career? We propose two entropy-based metrics to measure a researcher's choice of research topics. Experiments with large computer science bibliographic dataset reveal that there is a strong correlation between the diversity of the career of a researcher and her success in scientific research in terms of the number of citations. We observe that while most of the researchers are biased toward either adopting diverse research fields or concentrating on very few fields, a majority of the prominent researchers tend to follow a typical "scatter-gather" policy - although their entire careers are immensely diverse with different types of fields selected at different time periods, they remain focused primarily in at most one or two fields at any particular time point of their career. Finally, we propose a stochastic model which, quite accurately, mimics the notion of field selection process observed in the real publication dataset. (C) 2014 Elsevier Ltd. All rights reserved. [Chakraborty, Tanmoy; Ganguly, Niloy; Mukherjee, Animesh] Indian Inst Technol, Dept Comp Sci & Engn, Kharagpur 721302, W Bengal, India; [Tammana, Vihar] Microsoft Corp, Bellevue, WA USA Chakraborty, T (corresponding author), Indian Inst Technol, Dept Comp Sci & Engn, Kharagpur 721302, W Bengal, India. its_tanmoy@cse.iitkgp.ernet.in Ganguly, Niloy/0000-0002-3967-186X Albert S, 2000, ACAD MANAGE REV, V25, P13, DOI 10.5465/AMR.2000.2791600; Barabasi AL, 2002, PHYSICA A, V311, P590, DOI 10.1016/S0378-4371(02)00736-7; Biryukov M, 2010, LECT NOTES COMPUT SC, V6273, P228, DOI 10.1007/978-3-642-15464-5_24; Borner K, 2005, COMPLEXITY, V10, P57, DOI 10.1002/cplx.20078; Borner K., 2003, VISUALIZING KNOWLEDG, V37; BRETT JM, 1982, J APPL PSYCHOL, V67, P450; Brett JM, 1984, RES PERSONNEL HUMAN, V2, P155; Chakraborty Tanmoy, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), P426; Chakraborty T, 2014, SOC NETW ANAL MIN, V4, DOI 10.1007/s13278-014-0187-3; Chen C. 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JAN 2015 9 1 69 78 10.1016/j.joi.2014.11.008 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science CB6XO WOS:000349770500009 2021-10-14 J Bornmann, L; Stefaner, M; Anegon, FD; Mutz, R Bornmann, Lutz; Stefaner, Moritz; de Moya Anegon, Felix; Mutz, Ruediger What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused institutions worldwide JOURNAL OF INFORMETRICS English Article Scientific excellence; Highly cited papers; Geography of science; Spatial scientometrics; Google maps; University ranking SCIENCE; PERCENTILES; EXCELLENCE; CORRUPTION; DECISIONS; GEOGRAPHY Bornmann, Stefaner, de Moya Anegon, and Mutz (2014) have introduced a web application (www,excellencemappingmet) which is linked to both academic ranking lists published hitherto (e.g. the Academic Ranking of World Universities) as well as spatial visualization approaches. The web application visualizes institutional performance within specific subject areas as ranking lists and on custom tile-based maps. The new, substantially enhanced version of the web application and the generalized linear mixed model for binomial data on which it is based are described in this paper. Scopus data are used which have been collected for the SCImago Institutions Ranking. Only those universities and research-focused institutions are considered that have published at least 500 articles, reviews and conference papers in the period 2006-2010 in a certain Scopus subject area. In the enhanced version, the effect of single covariates (such as the per capita GDP of a country in which an institution is located) on two performance metrics (best paper rate and best journal rate) is examined and visualized. A covariate-adjusted ranking and mapping of the institutions is produced in which the single covariates are held constant. The results on the performance of institutions can then be interpreted as if the institutions all had the same value (reference point) for the covariate in question. For example, those institutions can be identified worldwide showing a very good performance despite a bad financial situation in the corresponding country. (C) 2014 Elsevier Ltd. All rights reserved. [Bornmann, Lutz] Adm Headquarters Max Planck Soc, Div Sci & Innovat Studies, Munich, Germany; [de Moya Anegon, Felix] CSIC, Inst Publ Goods & Policies IPP, Madrid, Spain; [Mutz, Ruediger] ETH, Zurich, Switzerland Bornmann, L (corresponding author), Adm Headquarters Max Planck Soc, Div Sci & Innovat Studies, Munich, Germany. bornmann@gv.mpg.de Mutz, Rudiger/AAA-9629-2021; Bornmann, Lutz/A-3926-2008; de Moya Anegon, Felix/V-3678-2019; Mutz, Ruediger/A-2226-2009; de Moya Anegon, Felix/C-4004-2009 Mutz, Rudiger/0000-0003-3345-6090; Bornmann, Lutz/0000-0003-0810-7091; de Moya Anegon, Felix/0000-0002-0255-8628; de Moya Anegon, Felix/0000-0002-0255-8628 Abramo G, 2013, SCIENTOMETRICS, V95, P311, DOI 10.1007/s11192-012-0875-6; Adams J, 2013, NATURE, V497, P557, DOI 10.1038/497557a; Allik J, 2013, TRAMES-J HUMANIT SOC, V17, P199, DOI 10.3176/tr.2013.3.01; Ariu A, 2013, EMBO REP, V14, P502, DOI 10.1038/embor.2013.59; Bauer DJ, 2009, PSYCHOMETRIKA, V74, P97, DOI 10.1007/s11336-008-9080-1; Bornmann L, 2014, J INFORMETR, V8, P175, DOI 10.1016/j.joi.2013.11.005; Bornmann L, 2014, ONLINE INFORM REV, V38, P43, DOI 10.1108/OIR-12-2012-0214; Bornmann L, 2013, J INFORMETR, V7, P933, DOI 10.1016/j.joi.2013.09.003; Bornmann L, 2013, J AM SOC INF SCI TEC, V64, P1649, DOI 10.1002/asi.22857; Bornmann L, 2013, J INFORMETR, V7, P158, DOI 10.1016/j.joi.2012.10.001; Bornmann L, 2012, J INFORMETR, V6, P333, DOI 10.1016/j.joi.2011.11.006; Bornmann L, 2011, J INFORMETR, V5, P547, DOI 10.1016/j.joi.2011.04.006; Bornmann L, 2011, J INFORMETR, V5, P537, DOI 10.1016/j.joi.2011.05.005; Bornmann L, 2011, J R STAT SOC A STAT, V174, P857, DOI 10.1111/j.1467-985X.2011.00689.x; Bornmann L, 2011, J AM SOC INF SCI TEC, V62, P1954, DOI 10.1002/asi.21611; Bornmann L, 2011, ANNU REV INFORM SCI, V45, P199, DOI 10.1002/aris.2011.1440450112; CHE Centre for Higher Education, U MULT KEY QUEST ANS; Eckert D., 2013, URBAN STUDIES; Frenken K, 2009, J INFORMETR, V3, P222, DOI 10.1016/j.joi.2009.03.005; GARFIELD E, 1955, SCIENCE, V122, P108, DOI 10.1126/science.122.3159.108; GOLDSTEIN H, 1995, J ROY STAT SOC A STA, V158, P175, DOI 10.2307/2983411; Gonzalez-Pereira B, 2010, J INFORMETR, V4, P379, DOI 10.1016/j.joi.2010.03.002; Guerrero-Bote VP, 2012, J INFORMETR, V6, P674, DOI 10.1016/j.joi.2012.07.001; Harzing AW, 2014, J INFORMETR, V8, P29, DOI 10.1016/j.joi.2013.10.007; Hazelkorn E., 2013, BEITRAGE HOCHSCHULFO, V35, P8; Hox J.J., 2017, MULTILEVEL ANAL TECH; Ketzler R, 2013, SCIENTOMETRICS, V95, P1095, DOI 10.1007/s11192-012-0850-2; Lancho-Barrantes BS, 2013, SCIENTOMETRICS, V94, P817, DOI 10.1007/s11192-012-0797-3; Mazloumian A, 2013, SCI REP-UK, V3, DOI 10.1038/srep01167; Meo SA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066449; Miranda Luiz C M, 2010, International Journal of Technology Intelligence and Planning, V6, P76; Mutz R, 2007, DIAGNOSTICA, V53, P3, DOI 10.1026/0012-1924.53.1.3; Pan R. 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JUL 2014 8 3 581 593 10.1016/j.joi.2014.04.008 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AO5IE WOS:000341376700012 Green Submitted 2021-10-14 J Jeong, DH; Song, M Jeong, Do-Heon; Song, Min Time gap analysis by the topic model-based temporal technique JOURNAL OF INFORMETRICS English Article Text mining; Topic modeling; Latent Dirichlet Allocation (LDA); Content analysis; Temporal analysis; Multiple resources BIBLIOMETRIC ANALYSIS; INNOVATION; FIELD This study proposes a temporal analysis method to utilize heterogeneous resources such as papers, patents, and web news articles in an integrated manner. We analyzed the time gap phenomena between three resources and two academic areas by conducting text mining-based content analysis. To this end, a topic modeling technique, Latent Dirichlet Allocation (LDA) was used to estimate the optimal time gaps among three resources (papers, patents, and web news articles) in two research domains. The contributions of this study are summarized as follows: firstly, we propose a new temporal analysis method to understand the content characteristics and trends of heterogeneous multiple resources in an integrated manner. We applied it to measure the exact time intervals between academic areas by understanding the time gap phenomena. The results of temporal analysis showed that the resources of the medical field had more up-to-date property than those of the computer field, and thus prompter disclosure to the public. Secondly, we adopted a power-law exponent measurement and content analysis to evaluate the proposed method. With the proposed method, we demonstrate how to analyze heterogeneous resources more precisely and comprehensively. (C) 2014 Elsevier Ltd. All rights reserved. [Jeong, Do-Heon] KISTI, Taejon 305806, South Korea; [Song, Min] Yonsei Univ, Seoul 120749, South Korea Song, M (corresponding author), Yonsei Univ, 50 Yonsei Ro, Seoul 120749, South Korea. heon@kisti.re.kr; min.song@yonsei.ac.kr Song, Min/0000-0003-3255-1600 Amitay E, 2004, J AM SOC INF SCI TEC, V55, P1270, DOI 10.1002/asi.20082; Ball R, 2006, SCIENTOMETRICS, V66, P561, DOI 10.1007/s11192-006-0041-0; Bjorneborn L, 2004, J AM SOC INF SCI TEC, V55, P1216, DOI 10.1002/asi.20077; Blei D., 2006, ICML, V23, P113, DOI DOI 10.1145/1143844.1143859; Blei DM, 2003, J MACH LEARN RES, V3, P993, DOI 10.1162/jmlr.2003.3.4-5.993; Chang J, 2009, NIPS, P1; Chua AYK, 2008, J AM SOC INF SCI TEC, V59, P2156, DOI 10.1002/asi.20929; Daim TU, 2006, TECHNOL FORECAST SOC, V73, P981, DOI 10.1016/j.techfore.2006.04.004; Egghe L, 2005, INFORM PROCESS MANAG, V41, P1311, DOI 10.1016/j.ipm.2005.03.011; Finardi U, 2011, SCIENTOMETRICS, V89, P37, DOI 10.1007/s11192-011-0443-5; GARFIELD E, 1955, SCIENCE, V122, P108, DOI 10.1126/science.122.3159.108; Griffiths TL, 2004, P NATL ACAD SCI USA, V101, P5228, DOI 10.1073/pnas.0307752101; Guan JC, 2013, TECHNOL FORECAST SOC, V80, P1271, DOI 10.1016/j.techfore.2012.11.013; Gui J., 2012, P 4 INT C ADV SCI TE, P176; He Q., 2009, P 18 ACM C INF KNOWL, V18, P957, DOI DOI 10.1145/1645953.1646076; Kim D, 2011, LECT NOTES COMPUT SC, V6609, P163, DOI 10.1007/978-3-642-19437-5_13; Kim J, 2012, EXPERT SYST APPL, V39, P12618, DOI 10.1016/j.eswa.2012.05.021; Krestel R, 2012, INFORM RETRIEVAL, V15, P458, DOI 10.1007/s10791-011-9179-3; LANCASTER FW, 1985, J AM SOC INFORM SCI, V36, P389, DOI 10.1002/asi.4630360608; Lee J. S., 2008, P 15 C KOR SOC INF M, pIV; Lee K, 2013, ENERG POLICY, V59, P415, DOI 10.1016/j.enpol.2013.03.054; Levitt JM, 2008, J AM SOC INF SCI TEC, V59, P1973, DOI 10.1002/asi.20914; Lu Youwei, 2013, INT C IND ENG OTH AP, P351; Mei Q., 2005, P 11 ACM SIGKDD INT, P198, DOI DOI 10.1145/1081870.1081895; Narin F, 1997, RES POLICY, V26, P317, DOI 10.1016/S0048-7333(97)00013-9; Newman D, 2009, J MACH LEARN RES, V10, P1801; Sajjad M., 2013, P 12 INT C BUS INN T, P1; Schoepflin U, 2001, SCIENTOMETRICS, V50, P301, DOI 10.1023/A:1010577824449; Shibata N., 2010, P 5 IEE INT C MAN IN; Song M, 2014, J ASSOC INF SCI TECH, V65, P352, DOI 10.1002/asi.22970; Vaughan L, 2008, SCIENTOMETRICS, V77, P433, DOI 10.1007/s11192-007-1999-y; Vretos N, 2012, PATTERN RECOGN, V45, P2489, DOI 10.1016/j.patcog.2011.12.022; Vulic I, 2013, INFORM RETRIEVAL, V16, P331, DOI 10.1007/s10791-012-9200-5; Wang J, 2013, NEUROCOMPUTING, V103, P93, DOI 10.1016/j.neucom.2012.09.008; Wang X., 2006, P 12 ACM SIGKDD INT, P424, DOI DOI 10.1145/1150402.1150450 35 18 19 3 56 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JUL 2014 8 3 776 790 10.1016/j.joi.2014.07.005 15 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AO5IE WOS:000341376700029 2021-10-14 J Manganote, EJT; Araujo, MS; Schulz, PA Manganote, Edmilson J. T.; Araujo, Mariana S.; Schulz, Peter A. Visualization of ranking data: Geographical signatures in international collaboration, leadership and research impact JOURNAL OF INFORMETRICS English Article Institutional rankings; International collaboration; Research impact UNIVERSITY; QUALITY In this work we address the comprehensive Scimago Institutions Ranking 2012, proposing a data visualization of the listed bibliometric indicators for the 509 Higher Education Institutions among the 600 largest research institutions ranked according to their outputs. We focus on research impact, internationalization and leadership indicators, which became important benchmarks in a worldwide discussion about research quality and impact policies for universities. Our data visualization reveals a qualitative difference between the behavior of Northern American and Western European Higher Education Institutions concerning International collaboration levels. Chinese universities show still a systematic low international collaboration levels which are positively linked to the low research impact. The data suggests that research impact can be related directly to internationalization only to rather low values for both indicators. Above world average, other determinants may become relevant in fostering further impact. The leadership indicator provides further insights to the collaborative environment of universities in different geographical regions, as well as the optimized collaboration portfolio for enhancing research impact. (C) 2014 Elsevier Ltd. All rights reserved. [Manganote, Edmilson J. T.] FACAMP Fac Campinas, BR-13083970 Campinas, SP, Brazil; [Manganote, Edmilson J. T.] Univ Estadual Campinas, Inst Fis Gleb Wataghin, BR-13083859 Campinas, SP, Brazil; [Araujo, Mariana S.; Schulz, Peter A.] Univ Estadual Campinas, Fac Ciencias Aplicadas, BR-13484350 Limeira, SP, Brazil Manganote, EJT (corresponding author), Univ Estadual Campinas, Inst Fis Gleb Wataghin, Rua Sergio Buarque de Holanda 777, BR-13083859 Campinas, SP, Brazil. mangano@ifi.unicamp.br Manganote, Edmilson J.T./K-8251-2013 Manganote, Edmilson J.T./0000-0003-2459-8521 Abramo G, 2011, SCIENTOMETRICS, V86, P629, DOI 10.1007/s11192-010-0284-7; Andras P, 2011, RES EVALUAT, V20, P90, DOI 10.3152/095820211X12941371876265; Benavent-Perez M, 2012, SCIENTOMETRICS, V93, P41, DOI 10.1007/s11192-012-0638-4; Bornmann L., 2013, SCIENTOMETRICS, V97, P412; Bornmann L, 2014, ONLINE INFORM REV, V38, P43, DOI 10.1108/OIR-12-2012-0214; Bornmann L, 2013, J AM SOC INF SCI TEC, V64, P2310, DOI 10.1002/asi.22923; Bornmann L, 2011, J INFORMETR, V5, P486, DOI 10.1016/j.joi.2011.03.005; Carayol N, 2004, RES POLICY, V33, P1081, DOI 10.1016/j.respol.2004.03.004; Cohen J., 1988, STAT POWER ANAL BEHA, V2nd; Didegah F, 2013, J INFORMETR, V7, P861, DOI 10.1016/j.joi.2013.08.006; Gazni A, 2012, J AM SOC INF SCI TEC, V63, P323, DOI 10.1002/asi.21688; Bote VPG, 2013, J AM SOC INF SCI TEC, V64, P392, DOI 10.1002/asi.22754; Horta H, 2011, SCI PUBL POLICY, V38, P449, DOI 10.3152/030234211X12960315267813; Lehman A, 2005, JMP BASIC UNIVARIATE; Lozano GA, 2012, J AM SOC INF SCI TEC, V63, P2140, DOI 10.1002/asi.22731; Mattsson P, 2008, SCIENTOMETRICS, V75, P555, DOI 10.1007/s11192-007-1793-x; Moed F. H., 2013, SCIENTOMETRICS; Rauhvargers A., 2013, GLOBAL U RANKINGS TH; Schulz PA, 2012, SCIENTOMETRICS, V93, P517, DOI 10.1007/s11192-012-0696-7; Scimago, 2012, J INFORMETR, V6, P333; Urbanovic J, 2013, HIGH EDUC POLICY, V26, P373, DOI 10.1057/hep.2013.6; Wang JC, 2012, ELECTRON LIBR, V30, P5, DOI 10.1108/02640471211204033; Wang XW, 2013, SCIENTOMETRICS, V95, P885, DOI 10.1007/s11192-012-0877-4 23 10 10 3 67 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JUL 2014 8 3 642 649 10.1016/j.joi.2014.05.005 8 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AO5IE WOS:000341376700017 2021-10-14 J Hu, ZW; Wu, YS Hu, Zewen; Wu, Yishan Regularity in the time-dependent distribution of the percentage of never-cited papers: An empirical pilot study based on the six journals JOURNAL OF INFORMETRICS English Article Percentage of uncited papers; Citation distribution; Regularity in time-dependent distribution; Influencing factors; Negative exponential model; Journal IMPACT FACTOR; CITATION DISTRIBUTION; OBSOLESCENCE; UNCITEDNESS; ARTICLES; THOUGHTS; GROWTH The non-citation rate refers to the proportion of papers that do not attract any citation over a period of time following their publication. After reviewing all the related papers in Web of Science, Google Scholar and Scopus database, we find the current literature on citation distribution gives more focus on the distribution of the percentages and citations of papers receiving at least one citation, while there are fewer studies on the time-dependent patterns of the percentage of never-cited papers, on what distribution model can fit their time-dependent patterns, as well as on the factors influencing the non-citation rate. Here, we perform an empirical pilot analysis to the time-dependent distribution of the percentages of never-cited papers in a series of different, consecutive citation time windows following their publication in our selected six sample journals, and study the influence of paper length on the chance of papers' getting cited. Through the above analysis, the following general conclusions are drawn: (1) a three-parameter negative exponential model can well fit timedependent distribution curve of the percentages of never-cited papers; (2) in the initial citation time window, the percentage of never-cited papers in each journal is very high. However, as the citation time window becomes wider and wider, the percentage of never-cited papers begins to drop rapidly at first, and then drop more slowly, and the total degree of decline for most of journals is very large; (3) when applying the wider citation time windows, the percentage of never-cited papers for each journal begins to approach a stable value, and after that value, there will be very few changes in these stable percentages, unless we meet a large amount of "Sleeping Beauties" type papers; (4) the length of an paper has a great influence on whether it will be cited or not. (C) 2013 Elsevier Ltd. All rights reserved. [Hu, Zewen; Wu, Yishan] Inst Sci & Tech Informat China, Beijing 100038, Peoples R China; [Hu, Zewen] Nanjing Univ, Sch Informat Management, Nanjing 210008, Jiangsu, Peoples R China Wu, YS (corresponding author), Inst Sci & Tech Informat China, 15 Fuxing Rd, Beijing 100038, Peoples R China. wuyishan1957@163.com ABT HA, 1981, PUBL ASTRON SOC PAC, V93, P207, DOI 10.1086/130806; Alvarez P, 2000, J AM SOC INFORM SCI, V51, P812, DOI 10.1002/(SICI)1097-4571(2000)51:9<812::AID-ASI40>3.0.CO;2-B; Bott D. M., 1991, AM SOCIOL, V22, P147, DOI [10.1007=BF02691874, DOI 10.1007/BF02691874]; Brookes BC, 1970, J AM SOC INFORM SCI, V21, P320, DOI 10.1002/asi.4630210503; Brookes B. 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Z., 2008, J AM SOC INFORM SCI, V59, P2070 50 23 25 0 61 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JAN 2014 8 1 136 146 10.1016/j.joi.2013.11.002 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AB4PH WOS:000331771900013 2021-10-14 J Thelwall, M; Sud, P Thelwall, Mike; Sud, Pardeep No citation advantage for monograph-based collaborations? JOURNAL OF INFORMETRICS English Article Collaboration; Citation impact; Co-authorship; Monographs; Humanities; Social sciences SCIENTIFIC COLLABORATION; SOCIAL-SCIENCES; HUMANITIES; PATTERNS; IMPACT; PUBLICATIONS; AUTHORSHIP; COAUTHORSHIP; PERFORMANCE; INDICATORS It is widely believed that collaboration is advantageous in science, for example, with collaboratively written articles tending to attract more citations than solo articles and strong arguments for the value of interdisciplinary collaboration. Nevertheless, it is not known whether the same is true for research that produces books. This article tests whether coauthored scholarly monographs attract more citations than solo monographs using books published before 2011 from 30 categories in the Web of Science. The results show that solo monographs numerically dominate collaborative monographs, but give no evidence of a citation advantage for collaboration on monographs. In contrast, for nearly all these subjects (28 out of 30) there was a citation advantage for collaboratively produced journal articles. As a result, research managers and funders should not incentivise collaborative research in book-based subjects or in research that aims to produce monographs, but should allow the researchers themselves to freely decide whether to collaborate or not. (C) 2013 Elsevier Ltd. All rights reserved. [Thelwall, Mike; Sud, Pardeep] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wolverhampton WV1 1SB, W Midlands, England Thelwall, M (corresponding author), Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1SB, W Midlands, England. m.thelwall@wlv.ac.uk; p.sud@wlv.ac.uk Thelwall, Mike/C-1449-2013 Thelwall, Mike/0000-0001-6065-205X Abdullah A., 2014, J AM SOC IN IN PRESS; Acedo FJ, 2006, J MANAGE STUD, V43, P957, DOI 10.1111/j.1467-6486.2006.00625.x; Avkiran NK, 1997, SCIENTOMETRICS, V39, P173, DOI 10.1007/BF02457446; Bordons M, 1996, SCIENTOMETRICS, V37, P279, DOI 10.1007/BF02093625; Bornmann L, 2012, J INFORMETR, V6, P11, DOI 10.1016/j.joi.2011.08.004; Cronin B, 2003, J AM SOC INF SCI TEC, V54, P855, DOI 10.1002/asi.10278; Cronin B, 2001, J AM SOC INF SCI TEC, V52, P558, DOI 10.1002/asi.1097.abs; Cronin B, 2012, INFORM CULT, V47, P18, DOI 10.1353/lac.2012.0005; De Solla Price D. 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Informetr. JAN 2014 8 1 276 283 10.1016/j.joi.2013.12.008 8 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science AB4PH WOS:000331771900026 Green Submitted 2021-10-14 J Abbasi, A; Jaafari, A Abbasi, Alireza; Jaafari, Ali Research impact and scholars' geographical diversity JOURNAL OF INFORMETRICS English Article Scientific collaboration network; Geographical diversity; Internal and external collaboration; Research impact; Scholars' performance SCIENTIFIC COLLABORATION; WORK GROUPS; NETWORKS; CONSEQUENCES; COOPERATION; PERFORMANCE; INFORMATION; PROXIMITY; DYNAMICS; PATTERNS In recent years there has been a sharp increase in collaborations among scholars and there are studies on the effects of scientific collaboration on scholars' performance. This study examines the hypothesis that geographically diverse scientific collaboration is associated with research impact. Here, the approach is differentiated from other studies by: (a) focusing on publications rather than researchers or institutes; (b) considering the geographical diversity of authors of each publication; (c) considering the average number of citations a publication receives per year (time-based normalization of citations) as a surrogate for its impact; and (d) not focusing on a specific country (developed or developing) or region. Analysis of the collected bibliometric data shows that a publication impact is significantly and positively associated with all related geographical collaboration indicators. But publication impact has a stronger association with the numbers of external collaborations at department and institution levels (inter-departmental and inter-institutional collaborations) compared to internal collaborations. Conversely, national collaboration correlates better with impact than international collaboration. (C) 2013 Elsevier Ltd. All rights reserved. [Abbasi, Alireza] Univ New S Wales, Sch Engn & IT, Canberra, ACT 2610, Australia; [Jaafari, Ali] Asia Pacific Int Coll, Grad Sch Business & Project Management, Sydney, NSW 2008, Australia Abbasi, A (corresponding author), Univ New S Wales, Sch Engn & IT, Canberra, ACT 2610, Australia. alireza.abbasi@unsw.edu.au Abbasi, Alireza/ABG-6032-2020; Abbasi, Alireza/F-9487-2015 Abbasi, Alireza/0000-0001-9136-1837; Abbasi, Alireza/0000-0001-9136-1837 Abbasi A., 2012, 2012 45 HAW INT C SY; Abbasi A, 2012, INFORM PROCESS MANAG, V48, P671, DOI 10.1016/j.ipm.2011.09.001; Abbasi A, 2011, J INFORMETR, V5, P594, DOI 10.1016/j.joi.2011.05.007; Abbasi A, 2011, SCIENTOMETRICS, V89, P687, DOI 10.1007/s11192-011-0463-1; Ahuja M. 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F, 2004, HDB QUANTITATIVE SCI; Yan EJ, 2010, SCIENTOMETRICS, V83, P115, DOI 10.1007/s11192-009-0027-9; Yan EJ, 2009, J AM SOC INF SCI TEC, V60, P2107, DOI 10.1002/asi.21128 42 27 27 2 55 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. 2013 7 3 683 692 10.1016/j.joi.2013.04.004 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 210UH WOS:000323859700012 2021-10-14 J Abramo, G; Cicero, T; D'Angelo, CA Abramo, Giovanni; Cicero, Tindaro; D'Angelo, Ciriaco Andrea The impact of unproductive and top researchers on overall university research performance JOURNAL OF INFORMETRICS English Article Research evaluation; Bibliometrics; Rankings; Productivity; Top researchers; Universities RESEARCH PRODUCTIVITY; SYSTEMS; INDEX Unlike competitive higher education systems, non-competitive systems show relatively uniform distributions of top researchers and low performers among universities. In this study, we examine the impact of unproductive and top faculty members on overall research performance of the university they belong to. Furthermore, we analyze the potential relationship between research productivity of a university and the indexes of concentration of unproductive and top researchers. Research performance is evaluated using a bibliometric approach, through publications indexed on the Web of Science between 2004 and 2008. The set analyzed consists of all Italian universities active in the hard sciences. (C) 2012 Elsevier Ltd. All rights reserved. [Abramo, Giovanni] Natl Res Council Italy, Inst Syst Anal & Comp Sci IASI CNR, Rome, Italy; [Abramo, Giovanni; Cicero, Tindaro; D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Dept Management, Sch Engn, Lab Studies Res & Technol Transfer, Rome, Italy Abramo, G (corresponding author), Univ Roma Tor Vergata, Dept Management, Sch Engn, Lab Studies Res & Technol Transfer, Rome, Italy. giovanni.abramo@uniroma2.it Cicero, Tindaro/I-8129-2019; cicero, tindaro/F-6404-2019; D'Angelo, Ciriaco Andrea/J-8162-2012; Abramo, Giovanni/AAC-9098-2020 Cicero, Tindaro/0000-0003-1926-8317; cicero, tindaro/0000-0003-1926-8317; D'Angelo, Ciriaco Andrea/0000-0002-6977-6611; abramo, giovanni/0000-0003-0731-3635 Abramo G, 2008, RES EVALUAT, V17, P111, DOI 10.3152/095820208X280916; Abramo G, 2012, HIGH EDUC, V63, P701, DOI 10.1007/s10734-011-9471-6; Abramo G, 2012, J INFORMETR, V6, P155, DOI 10.1016/j.joi.2011.11.007; Abramo G, 2011, SCIENTOMETRICS, V88, P915, DOI 10.1007/s11192-011-0426-6; Abramo G, 2011, SCIENTOMETRICS, V87, P641, DOI 10.1007/s11192-011-0355-4; Abramo G, 2011, SCIENTOMETRICS, V86, P347, DOI 10.1007/s11192-010-0297-2; [Anonymous], 2012, WORLD AC RANK 2011 2; [Anonymous], QS QUACQUARELLI SYMO; D'Angelo CA, 2011, J AM SOC INF SCI TEC, V62, P257, DOI 10.1002/asi.21460; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Halffman W, 2010, MINERVA, V48, P55, DOI 10.1007/s11024-010-9141-3; Heitor, 2008, SCI PUBL POLICY, V35, P146, DOI [10.3152/030234208X299044, DOI 10.3152/030234208X299044]; Hicks D, 2012, RES POLICY, V41, P251, DOI 10.1016/j.respol.2011.09.007; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Leydesdorff L, 2008, J AM SOC INF SCI TEC, V59, P278, DOI 10.1002/asi.20743; Lundberg J, 2007, J INFORMETR, V1, P145, DOI 10.1016/j.joi.2006.09.007; Moed HF, 2005, INFORM SCI KNOWL MAN, V9, P1, DOI 10.1007/1-4020-3714-7; Osterloh M., 2008, WORKSH PEER REV REV; PRICE DJD, 1976, J AM SOC INFORM SCI, V27, P292, DOI 10.1002/asi.4630270505; SJTU-Shanghai Jiao Tong University, 2011, AC RANK WORLD U; van der Ploeg F, 2008, CESIFO ECON STUD, V54, P99, DOI 10.1093/cesifo/ifn015 21 32 34 2 59 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JAN 2013 7 1 166 175 10.1016/j.joi.2012.10.006 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 065BG WOS:000313121300020 Green Submitted 2021-10-14 J Abramo, G; Cicero, T; D'Angelo, CA Abramo, Giovanni; Cicero, Tindaro; D'Angelo, Ciriaco Andrea Individual research performance: A proposal for comparing apples to oranges JOURNAL OF INFORMETRICS English Article Research evaluation; Bibliometrics; Citations; Productivity; Standardization CITATION CHARACTERISTICS; SCIENCE SYSTEM; SCALING RULES; FIELD; IMPACT The evaluation of performance at the individual level is of fundamental importance in informing management decisions. The literature provides various indicators and types of measures, however a problem that is still unresolved and little addressed is how to compare the performance of researchers working in different fields (apples to oranges). In this work we propose a solution, testing various scaling factors for the distributions of research productivity in 174 scientific fields. The analysis is based on the observation of scientific production by all Italian university researchers active in the hard sciences over the period 2004-2008, as indexed by the Web of Science. The most effective scaling factor is the average of the productivity distribution of researchers with productivity above zero. (c) 2013 Elsevier Ltd. All rights reserved. [Abramo, Giovanni] Univ Roma Tor Vergata, Natl Res Council Italy IASI CNR, Rome, Italy; [Cicero, Tindaro; D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Lab Studies Res & Technol Transfer, Rome, Italy Abramo, G (corresponding author), Univ Roma Tor Vergata, Dipartimento Ingn Impresa, Via Politecn 1, I-00133 Rome, Italy. giovanni.abramo@uniroma2.it; tindaro.cicero@uniroma2.it; dangelo@dii.uniroma2.it Cicero, Tindaro/I-8129-2019; cicero, tindaro/F-6404-2019; D'Angelo, Ciriaco Andrea/J-8162-2012; Abramo, Giovanni/AAC-9098-2020 Cicero, Tindaro/0000-0003-1926-8317; cicero, tindaro/0000-0003-1926-8317; D'Angelo, Ciriaco Andrea/0000-0002-6977-6611; abramo, giovanni/0000-0003-0731-3635 Abramo G, 2007, CURR SCI INDIA, V93, P762; Abramo G, 2012, J INFORMETR, V6, P470, DOI 10.1016/j.joi.2012.03.005; Abramo G, 2011, SCIENTOMETRICS, V86, P347, DOI 10.1007/s11192-010-0297-2; Costas R, 2009, J AM SOC INF SCI TEC, V60, P740, DOI 10.1002/asi.21017; D'Angelo CA, 2011, J AM SOC INF SCI TEC, V62, P257, DOI 10.1002/asi.21460; Glanzel W, 2008, P WIS 4 INT C WEB IN; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Radicchi F, 2011, PHYS REV E, V83, DOI 10.1103/PhysRevE.83.046116; Sandstrom E., 2009, 12 INT C SCI INF JUL; Sprent P., 2001, APPL NONPARAMETRIC S, Vthird; Thompson B., 1993, ANN M MIDS ED RES AS; van Raan AFJ, 2008, J AM SOC INF SCI TEC, V59, P565, DOI 10.1002/asi.20765; Zitt M, 2005, SCIENTOMETRICS, V63, P373, DOI 10.1007/s11192-005-0218-y 13 35 36 2 41 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. 2013 7 2 528 539 10.1016/j.joi.2013.01.013 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 136PY WOS:000318377100029 Green Submitted 2021-10-14 J Bornmann, L; Leydesdorff, L Bornmann, Lutz; Leydesdorff, Loet The validation of (advanced) bibliometric indicators through peer assessments: A comparative study using data from InCites and F1000 JOURNAL OF INFORMETRICS English Article Advanced bibliometric indicators; Peer review; F1000; InCites IMPACT; QUALITY; FACULTY The data of F1000 and InCites provide us with the unique opportunity to investigate the relationship between peers' ratings and bibliometric metrics on a broad and comprehensive data set with high-quality ratings. F1000 is a post-publication peer review system of the biomedical literature. The comparison of metrics with peer evaluation has been widely acknowledged as a way of validating metrics. Based on the seven indicators offered by InCites, we analyzed the validity of raw citation counts (Times Cited, 2nd Generation Citations, and 2nd Generation Citations per Citing Document), normalized indicators (journal Actual/Expected Citations, Category Actual/Expected Citations, and Percentile in Subject Area), and a journal based indicator (Journal Impact Factor). The data set consists of 125 papers published in 2008 and belonging to the subject category cell biology or immunology. As the results show, Percentile in Subject Area achieves the highest correlation with F1000 ratings; we can assert that for further three other indicators (Times Cited, 2nd Generation Citations, and Category Actual/Expected Citations) the "true" correlation with the ratings reaches at least a medium effect size. (c) 2012 Elsevier Ltd. All rights reserved. [Bornmann, Lutz] Adm Headquarters Max Planck Soc, Div Sci & Innovat Studies, D-80539 Munich, Germany; [Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands Bornmann, L (corresponding author), Adm Headquarters Max Planck Soc, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany. bornmann@gv.mpg.de; loet@leydesdorff.net Leydesdorff, Loet/E-2903-2010; Bornmann, Lutz/A-3926-2008 Leydesdorff, Loet/0000-0002-7835-3098; Bornmann, Lutz/0000-0003-0810-7091 Allen L, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005910; Bollen J, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006022; Bornmann L, 2008, J AM SOC INF SCI TEC, V59, P830, DOI 10.1002/asi.20806; Bornmann L, 2011, J R STAT SOC A STAT, V174, P857, DOI 10.1111/j.1467-985X.2011.00689.x; Bornmann L, 2011, ANNU REV INFORM SCI, V45, P199, DOI 10.1002/aris.2011.1440450112; Bornmann L, 2010, J INFORMETR, V4, P441, DOI 10.1016/j.joi.2010.04.004; Bornmann L, 2009, J AM SOC INF SCI TEC, V60, P1664, DOI 10.1002/asi.21076; Butler L, 2011, EUR POLIT SCI, V10, P44, DOI 10.1057/eps.2010.13; Cohen J., 1988, STAT POWER ANAL BEHA, V2nd; Costas, 2012, USERS NARCISSISM CON; Council of Canadian Academies, 2012, INF RES CHOIC IND JU; F1000, 2012, WHAT IS F1000; Figueredo E, 2006, J AM SOC INF SCI TEC, V57, P1561, DOI 10.1002/asi.20418; Franceschet M, 2011, J INFORMETR, V5, P275, DOI 10.1016/j.joi.2010.12.002; Garfield E., 1979, CITATION INDEXING IT; Haslam N, 2010, EUR J SOC PSYCHOL, V40, P216, DOI 10.1002/ejsp.727; Kohler U., 2012, DATA ANAL USING STAT; Kreiman G, 2011, FRONT COMPUT NEUROSC, V5, DOI 10.3389/fncom.2011.00048; Leydesdorff L, 2009, J AM SOC INF SCI TEC, V60, P1327, DOI 10.1002/asi.21024; Mandi S., 2008, CITATION COUNTS ARE; MARTIN BR, 1983, RES POLICY, V12, P61, DOI 10.1016/0048-7333(83)90005-7; McKay S, 2012, SOC POLICY ADMIN, V46, P526, DOI 10.1111/j.1467-9515.2011.00824.x; Medical Research Council, 2009, F1000 EV MRC PUBL OU; Rehn C, 2007, BIBLIOMETRIC INDICAT; Riffenburgh R.H, 2012, STAT MED; Ruscio J, 2012, MEAS-INTERDISCIP RES, V10, P123, DOI 10.1080/15366367.2012.711147; SCHUBERT A, 1986, SCIENTOMETRICS, V9, P281, DOI 10.1007/BF02017249; Sheskin D., 2007, HDB PARAMETRIC NONPA, V4th; Smith AT., 2002, CORRELATION RAE RATI; StataCorp, 2011, STAT STAT SOFTW REL; Thelwall M., 2012, 17 INT C SCI TECHN I, P541; VINKLER P, 1986, SCIENTOMETRICS, V10, P157, DOI 10.1007/BF02026039; Vinkler P., 2010, EVALUATION RES SCIEN; Wardle DA, 2010, IDEAS ECOL EVOL, V3, P11, DOI 10.4033/iee.2010.3.3.c; Wets K, 2003, LEARN PUBL, V16, P249, DOI 10.1087/095315103322421982 35 60 61 7 108 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. 2013 7 2 286 291 10.1016/j.joi.2012.12.003 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 136PY WOS:000318377100004 Green Submitted 2021-10-14 J Schneider, JW Schneider, Jesper W. Caveats for using statistical significance tests in research assessments JOURNAL OF INFORMETRICS English Review Statistical significance tests; Problems and misuse; Research assessment CITATION IMPACT; CROWN INDICATOR; INFERENCE; PROGRESS; DRIVERS; ERROR This article raises concerns about the advantages of using statistical significance tests in research assessments as has recently been suggested in the debate about proper normalization procedures for citation indicators by Opthof and Leydesdorff (2010). Statistical significance tests are highly controversial and numerous criticisms have been leveled against their use. Based on examples from articles by proponents of the use statistical significance tests in research assessments, we address some of the numerous problems with such tests. The issues specifically discussed are the ritual practice of such tests, their dichotomous application in decision making, the difference between statistical and substantive significance, the implausibility of most null hypotheses, the crucial assumption of randomness, as well as the utility of standard errors and confidence intervals for inferential purposes. We argue that applying statistical significance tests and mechanically adhering to their results are highly problematic and detrimental to critical thinking. We claim that the use of such tests do not provide any advantages in relation to deciding whether differences between citation indicators are important or not. On the contrary their use may be harmful. Like many other critics, we generally believe that statistical significance tests are over- and misused in the empirical sciences including scientometrics and we encourage a reform on these matters. (C) 2012 Elsevier Ltd. All rights reserved. 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Informetr. JAN 2013 7 1 50 62 10.1016/j.joi.2012.08.005 13 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 065BG WOS:000313121300005 Green Submitted, Green Accepted 2021-10-14 J Tol, RSJ Tol, Richard S. J. Identifying excellent researchers: A new approach JOURNAL OF INFORMETRICS English Article Quantile kernel regression; Hirsch index; Economics CROWN INDICATOR; RESEARCH OUTPUT; INDEX; ECONOMISTS; IMPACT Quantile kernel regression is a flexible way to estimate the percentile of a scholar's quality stratified by a measurable characteristic, without imposing inappropriate assumption about functional form or population distribution. Quantile kernel regression is here applied to identifying the one-in-a-hundred economist per age cohort according to the Hirsch index. (C) 2013 Elsevier Ltd. All rights reserved. [Tol, Richard S. J.] Univ Sussex, Dept Econ, Falmer BN1 9SL, England; [Tol, Richard S. J.] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands; [Tol, Richard S. J.] Vrije Univ Amsterdam, Dept Spatial Econ, Amsterdam, Netherlands; [Tol, Richard S. J.] Tinbergen Inst, Amsterdam, Netherlands Tol, RSJ (corresponding author), Univ Sussex, Dept Econ, Jubilee Bldg, Falmer BN1 9SL, England. r.tol@sussex.ac.uk Tol, Richard S. J./D-5245-2011 Tol, Richard S. 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Informetr. 2013 7 4 803 810 10.1016/j.joi.2013.06.003 8 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 264ZV WOS:000327920400005 2021-10-14 J Waltman, L; van Eck, NJ; Wouters, P Waltman, Ludo; van Eck, Nees Jan; Wouters, Paul Counting publications and citations: Is more always better? JOURNAL OF INFORMETRICS English Article Bibliometric index; Citation; Highly cited publication; Modeling; Scientific impact HIGHLY CITED PAPERS; INDICATOR Is more always better? We address this question in the context of bibliometric indices that aim to assess the scientific impact of individual researchers by counting their number of highly cited publications. We propose a simple model in which the number of citations of a publication depends not only on the scientific impact of the publication but also on other 'random' factors. Our model indicates that more need not always be better. It turns out that the most influential researchers may have a systematically lower performance, in terms of highly cited publications, than some of their less influential colleagues. The model also suggests an improved way of counting highly cited publications. (C) 2013 Elsevier Ltd. All rights reserved. [Waltman, Ludo; van Eck, Nees Jan; Wouters, Paul] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands Waltman, L (corresponding author), Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands. waltmanlr@cwts.leidenuniv.nl; ecknjpvan@cwts.leidenuniv.nl; p.twouters@cwts.leidenuniv.nl Waltman, Ludo/B-5561-2008; van Eck, Nees Jan/B-6042-2008 Waltman, Ludo/0000-0001-8249-1752; van Eck, Nees Jan/0000-0001-8448-4521; Wouters, Paul/0000-0002-4324-5732 Bornmann L, 2008, J DOC, V64, P45, DOI 10.1108/00220410810844150; Bornmann L, 2013, J INFORMETR, V7, P100, DOI 10.1016/j.joi.2012.09.004; DIEKS D, 1976, SOC STUD SCI, V6, P247, DOI 10.1177/030631277600600204; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Leydesdorff L, 2011, J AM SOC INF SCI TEC, V62, P1370, DOI 10.1002/asi.21534; Marchant T, 2009, J AM SOC INF SCI TEC, V60, P1132, DOI 10.1002/asi.21059; MARTIN BR, 1983, RES POLICY, V12, P61, DOI 10.1016/0048-7333(83)90005-7; Moed HF, 2005, INFORM SCI KNOWL MAN, V9, P1, DOI 10.1007/1-4020-3714-7; MORAVCSIK MJ, 1975, SOC STUD SCI, V5, P86, DOI 10.1177/030631277500500106; Nicolaisen J, 2007, ANNU REV INFORM SCI, V41, P609, DOI 10.1002/aris.2007.1440410120; PLOMP R, 1990, SCIENTOMETRICS, V19, P185, DOI 10.1007/BF02095346; PLOMP R, 1994, SCIENTOMETRICS, V29, P377, DOI 10.1007/BF02033446; PRICE DJD, 1976, J AM SOC INFORM SCI, V27, P292, DOI 10.1002/asi.4630270505; Ravallion M, 2011, SCIENTOMETRICS, V88, P321, DOI 10.1007/s11192-011-0375-0; Simkin Mikhail V., 2003, COMPLEX SYSTEMS, V14, P269, DOI DOI 10.1111/J.1740-9713.2006.00202.X; Simkin MV, 2005, SCIENTOMETRICS, V62, P367, DOI 10.1007/s11192-005-0028-2; Van Raan AFJ, 1998, SCIENTOMETRICS, V43, P129, DOI 10.1007/BF02458401; Waltman L, 2013, J AM SOC INF SCI TEC, V64, P372, DOI 10.1002/asi.22775; Waltman L, 2012, J AM SOC INF SCI TEC, V63, P406, DOI 10.1002/asi.21678 19 30 31 1 43 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. 2013 7 3 635 641 10.1016/j.joi.2013.04.001 7 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 210UH WOS:000323859700007 Green Submitted 2021-10-14 J Wu, J Wu, Jiang Investigating the universal distributions of normalized indicators and developing field-independent index JOURNAL OF INFORMETRICS English Article g-Index; h-Index; Field independence; Universality; Power-law distributions; Lognormal distributions HIRSCH-INDEX; H-INDEX; RESEARCHERS; AUTHORSHIP Using the dataset based on Thomson Reuters Scientific "Web of Science" the distributions of some well-known indicators, such as h-index and g-index, were investigated, and different citation behaviors across different scientific fields resulting from their field dependences were found. To develop a field-independent index, two scaling methods, based on average citation of subject category and journal, were used to normalize the citation received by each paper of a certain author. The distributions of the generalized h-indices in different fields were found to follow a lognormal function with mean and standard deviation of approximately -0.8 and 0.8, respectively. A field-independent index fi-index was then proposed, and its distribution was found to satisfy a universal power-law function with scaling exponent alpha approaching 3.0. Both the power-law and the lognormal universality of the distributions verified the field independence of these indicators. However, deciding which of the scaling methods is the better one is necessary for the validation of the field-independent index. (C) 2012 Elsevier Ltd. All rights reserved. Wuhan Univ, Sch Informat Management, Wuhan 430072, Hubei, Peoples R China Wu, J (corresponding author), Wuhan Univ, Sch Informat Management, Wuhan 430072, Hubei, Peoples R China. jiangwu.john@gmail.com Abramo G, 2012, J INFORMETR, V6, P645, DOI 10.1016/j.joi.2012.07.002; Aksnes DW, 2008, J AM SOC INF SCI TEC, V59, P838, DOI 10.1002/asi.20788; Alonso S, 2009, J INFORMETR, V3, P273, DOI 10.1016/j.joi.2009.04.001; Ball P., 2008, NATURE, DOI DOI 10.1038/NEWS.2008.1169; Batista PD, 2006, SCIENTOMETRICS, V68, P179, DOI 10.1007/s11192-006-0090-4; Bornmann L, 2009, J INFORMETR, V3, P27, DOI 10.1016/j.joi.2008.11.001; Castellano C, 2009, ARCH IMMUNOL THER EX, V57, P85, DOI 10.1007/s00005-009-0014-0; Clauset A, 2009, SIAM REV, V51, P661, DOI 10.1137/070710111; Egghe L., 1990, INTRO INFORMETRICS Q; Egghe L., 2007, ISSI 11 INT C SCIENT; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Egghe L, 2010, ANNU REV INFORM SCI, V44, P65, DOI 10.1002/aris.2010.1440440109; Gurney T, 2012, SCIENTOMETRICS, V91, P435, DOI 10.1007/s11192-011-0589-1; Hirsch JE, 2010, SCIENTOMETRICS, V85, P741, DOI 10.1007/s11192-010-0193-9; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Hu XJ, 2010, J INF SCI, V36, P73, DOI 10.1177/0165551509348133; Iglesias JE, 2007, SCIENTOMETRICS, V73, P303, DOI 10.1007/s11192-007-1805-x; Kang IS, 2009, INFORM PROCESS MANAG, V45, P84, DOI 10.1016/j.ipm.2008.06.006; Leydesdorff L., 2010, NORMALIZATION CWTS I; Moed HF, 2005, INFORM SCI KNOWL MAN, V9, P1, DOI 10.1007/1-4020-3714-7; Opthof T, 2011, SCIENTOMETRICS, V88, P1011, DOI 10.1007/s11192-011-0424-8; Opthof T, 2010, J INFORMETR, V4, P423, DOI 10.1016/j.joi.2010.02.003; Petersen AM, 2010, PHYS REV E, V81, DOI 10.1103/PhysRevE.81.036114; Qiu JP, 2008, SCIENTOMETRICS, V77, P335, DOI 10.1007/s11192-008-1782-8; Radicchi F., 2009, PHYS REV E, V80; Radicchi F, 2008, P NATL ACAD SCI USA, V105, P17268, DOI 10.1073/pnas.0806977105; Shiffrin RM, 2004, P NATL ACAD SCI USA, V101, P5183, DOI 10.1073/pnas.0307852100; Smalheiser NR, 2009, ANNU REV INFORM SCI, V43, P287; Tang L, 2010, SCIENTOMETRICS, V84, P763, DOI 10.1007/s11192-010-0196-6; Van Raan AFJ, 2006, SCIENTOMETRICS, V67, P491, DOI 10.1556/Scient.67.2006.3.10; van Raan AFJ, 2010, J INFORMETR, V4, P431, DOI 10.1016/j.joi.2010.03.008; Waltman L, 2011, SCIENTOMETRICS, V87, P467, DOI 10.1007/s11192-011-0354-5; Waltman L, 2011, J INFORMETR, V5, P37, DOI 10.1016/j.joi.2010.08.001 33 4 4 0 55 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JAN 2013 7 1 63 71 10.1016/j.joi.2012.08.007 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 065BG WOS:000313121300006 2021-10-14 J Radicchi, F; Castellano, C Radicchi, Filippo; Castellano, Claudio Why Sirtes's claims (Sirtes, 2012) do not square with reality JOURNAL OF INFORMETRICS English Letter CITATION INDICATORS; IMPACT FACTOR; JOURNALS; FAIRNESS [Radicchi, Filippo] Univ Rovira & Virgili, Dept Engn Quim, Tarragona 43007, Catalunya, Spain; [Castellano, Claudio] Ist Sistemi Complessi ISC CNR, I-00185 Rome, Italy; [Castellano, Claudio] Univ Roma La Sapienza, Dipartimento Fis, I-00185 Rome, Italy Radicchi, F (corresponding author), Univ Rovira & Virgili, Dept Engn Quim, Av Paisos Catalans 26, Tarragona 43007, Catalunya, Spain. f.radicchi@gmail.com Radicchi, Filippo/B-4407-2009; Castellano, Claudio/B-6946-2008 Castellano, Claudio/0000-0002-3773-3801 Garfield E, 2006, JAMA-J AM MED ASSOC, V295, P90, DOI 10.1001/jama.295.1.90; Leydesdorff L, 2010, J INFORMETR, V4, P644, DOI 10.1016/j.joi.2010.05.003; Pudovkin AI, 2002, J AM SOC INF SCI TEC, V53, P1113, DOI 10.1002/asi.10153; Radicchi F, 2008, P NATL ACAD SCI USA, V105, P17268, DOI 10.1073/pnas.0806977105; Radicchi F, 2012, J INFORMETR, V6, P121, DOI 10.1016/j.joi.2011.09.002; Seglen PO, 1997, BRIT MED J, V314, P498; Sirtes D, 2012, J INFORMETR, V6, P448, DOI 10.1016/j.joi.2012.01.008 7 4 4 0 12 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 J INFORMETR J. Informetr. OCT 2012 6 4 615 618 10.1016/j.joi.2012.06.001 4 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 003AY WOS:000308581700019 2021-10-14 J Egghe, L Egghe, L. Five years "Journal of Informetrics" JOURNAL OF INFORMETRICS English Article Journal of Informetrics EXPANSION; FIELD End of 2011, the Journal of Informetrics (Elsevier) existed five years. We overview its scope, published articles (topics, co-authorship, authors' countries), editorial decisions, editorial and production times, impact factor and article downloads aspects. Finally we present a local citation environment map of JOI. (C) 2012 Elsevier Ltd. All rights reserved. Univ Hasselt UHasselt, B-3590 Diepenbeek, Belgium Egghe, L (corresponding author), Univ Hasselt UHasselt, Campus Diepenbeek,Agoralaan, B-3590 Diepenbeek, Belgium. leo.egghe@uhasselt.be Egghe L, 2006, INFORM PROCESS MANAG, V42, P1405, DOI 10.1016/j.ipm.2006.02.004; Egghe L, 2005, INFORM PROCESS MANAG, V41, P1311, DOI 10.1016/j.ipm.2005.03.011 2 12 12 7 36 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 J INFORMETR J. Informetr. JUL 2012 6 3 422 426 10.1016/j.joi.2012.02.003 5 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 937LN WOS:000303660100008 Green Submitted 2021-10-14 J He, B; Ding, Y; Yan, EJ He, Bing; Ding, Ying; Yan, Erjia Mining patterns of author orders in scientific publications JOURNAL OF INFORMETRICS English Article Author orders; Author sequence; Scientific collaboration SEQUENTIAL PATTERNS; REFLECTIONS; CREDIT The author order of multi-authored papers can reveal subtle patterns of scientific collaboration and provide insights on the nature of credit assignment among coauthors. This article proposes a sequence-based perspective on scientific collaboration. Using frequently occurring sequences as the unit of analysis, this study explores (1) what types of sequence patterns are most common in the scientific collaboration at the level of authors, institutions, U. S. states, and nations in Library and Information Science (LIS); and (2) the productivity (measured by number of papers) and influence (measured by citation counts) of different types of sequence patterns. Results show that (1) the productivity and influence approximately follow the power law for frequent sequences in the four levels of analysis; (2) the productivity and influence present a significant positive correlation among frequent sequences, and the strength of the correlation increases with the level of integration; (3) for author-level, institution-level, and state-level frequent sequences, short geographical distances between the authors usually co-present with high productivities, while long distances tend to co-occur with large citation counts; (4) for author-level frequent sequences, the pattern of "the more productive and prestigious authors ranking ahead" is the one with the highest productivity and the highest influence; however, in the rest of the levels of analysis, the pattern with the highest productivity and the highest influence is the one with "the less productive and prestigious institutions/states/nations ranking ahead." (C) 2012 Elsevier Ltd. All rights reserved. [He, Bing; Ding, Ying; Yan, Erjia] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA He, B (corresponding author), Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA. binghe@indiana.edu; dingying@indiana.edu; eyan@indiana.edu Yan, Erjia/E-7887-2011; He, Bing/H-8271-2016 Yan, Erjia/0000-0002-0365-9340; Ding, Ying/0000-0003-2567-2009 AGRAWAL R, 1995, PROC INT CONF DATA, P3, DOI 10.1109/ICDE.1995.380415; Baerlocher MO, 2007, J INVEST MED, V55, P174, DOI 10.2310/6650.2007.06044; Buchta C., 2010, ARULESSEQUENCES MINI; BURMAN KD, 1982, ANN INTERN MED, V97, P602, DOI 10.7326/0003-4819-97-4-602; Endersby JW, 1996, SOC SCI QUART, V77, P375; FINE MA, 1993, AM PSYCHOL, V48, P1141, DOI 10.1037/0003-066X.48.11.1141; FLOYD SW, 1994, ACAD MANAGE J, V37, P734, DOI 10.2307/256709; He B, 2011, J AM SOC INF SCI TEC, V62, P831, DOI 10.1002/asi.21510; HUNT JG, 1987, J MANAGE, V13, P191, DOI 10.1177/014920638701300202; Jansen BJ, 2000, INFORM PROCESS MANAG, V36, P207, DOI 10.1016/S0306-4573(99)00056-4; Joseph K, 2005, SOUTH ECON J, V71, P545, DOI 10.2307/20062059; KATZ JS, 1994, SCIENTOMETRICS, V31, P31, DOI 10.1007/BF02018100; Laurance WF, 2006, NATURE, V442, P26, DOI 10.1038/442026d; Peffers K., 2003, COMMUNICATIONS ASS I, V11; Pei J, 2004, IEEE T KNOWL DATA EN, V16, P1424, DOI 10.1109/TKDE.2004.77; Pei J., 2001, P 2001 INT C DAT ENG, P332; RENNIE D, 1994, JAMA-J AM MED ASSOC, V271, P469, DOI 10.1001/jama.271.6.469; Rennie D, 1997, JAMA-J AM MED ASSOC, V278, P579, DOI 10.1001/jama.278.7.579; RIESENBERG D, 1990, JAMA-J AM MED ASSOC, V264, P1857, DOI 10.1001/jama.264.14.1857; Savitz DA, 1999, AM J EPIDEMIOL, V149, P401; Srikant R., 1996, Advances in Database Technology - EDBT '96. 5th International Conference on Extending Database Technology. 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JUL 2012 6 3 359 367 10.1016/j.joi.2012.01.001 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 937LN WOS:000303660100002 2021-10-14 J Bornmann, L; Anegon, FD; Leydesdorff, L Bornmann, Lutz; de Moya Anegon, Felix; Leydesdorff, Loet The new Excellence Indicator in the World Report of the SCImago Institutions Rankings 2011 JOURNAL OF INFORMETRICS English Editorial Material JOURNALS; IMPACT [Bornmann, Lutz] Max Planck Gesell, D-80539 Munich, Germany; [de Moya Anegon, Felix] CSIC CCHS IPP, Madrid, Spain; [Leydesdorff, Loet] Univ Amsterdam, ASCoR, NL-1012 CX Amsterdam, Netherlands Bornmann, L (corresponding author), Max Planck Gesell, Hofgartenstr 8, D-80539 Munich, Germany. bornmann@gv.mpg.de Bornmann, Lutz/A-3926-2008; Leydesdorff, Loet/E-2903-2010; de Moya Anegon, Felix/V-3678-2019; de Moya Anegon, Felix/C-4004-2009 Bornmann, Lutz/0000-0003-0810-7091; Leydesdorff, Loet/0000-0002-7835-3098; de Moya Anegon, Felix/0000-0002-0255-8628; de Moya Anegon, Felix/0000-0002-0255-8628 Agarwal P, 2009, NAT REV DRUG DISCOV, V8, P865, DOI 10.1038/nrd2973; Albarran P, 2011, SCIENTOMETRICS, V88, P385, DOI 10.1007/s11192-011-0407-9; Bornmann L., 2008, ETHICS SCI ENV POLIT, V8, P93, DOI DOI 10.3354/ESEP00084; Bornmann L, 2012, J INFORMETR, V6, P336, DOI 10.1016/j.joi.2011.11.002; Bornmann L, 2011, J AM SOC INF SCI TEC, V62, P1954, DOI 10.1002/asi.21611; Bornmann L, 2011, J INFORMETR, V5, P228, DOI 10.1016/j.joi.2010.10.009; Boyack K. 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Informetr. APR 2012 6 2 333 335 10.1016/j.joi.2011.11.006 3 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 906RF WOS:000301364100017 Green Submitted 2021-10-14 J Squazzoni, F; Gandelli, C Squazzoni, Flaminio; Gandelli, Claudio Saint Matthew strikes again: An agent-based model of peer review and the scientific community structure JOURNAL OF INFORMETRICS English Article Peer review; Referees; Referee reliability; Matthew effect; Agent-based model RESEARCH GRANTS; STANDS TODAY; SCIENCE; JOURNALS; MANUSCRIPT; SEXISM; CHANCE; GENDER This paper investigates the impact of referee reliability on the quality and efficiency of peer review. We modeled peer review as a process based on knowledge asymmetries and subject to evaluation bias. We tested various levels of referee reliability and different mechanisms of reviewing effort distribution among agents. We also tested different scientific community structures (cohesive vs. parochial) and competitive science environments (high vs. low competition). We found that referee behavior drastically affects peer review and an equal distribution of the reviewing effort is beneficial only if the scientific community is homogeneous and referee reliability is the rule. We also found that the Matthew effect in the allocation of resources and credit is inherent to a 'winner takes all' well functioning science system, more than a consequence of evaluation bias. (C) 2011 Elsevier Ltd. All rights reserved. [Squazzoni, Flaminio; Gandelli, Claudio] Univ Brescia, Dept Social Sci, I-25122 Brescia, Italy Squazzoni, F (corresponding author), Univ Brescia, Dept Social Sci, Via San Faustino 74-B, I-25122 Brescia, Italy. squazzon@eco.unibs.it; cgandelli@gmail.com Squazzoni, Flaminio/0000-0002-6503-6077 Alberts B, 2008, SCIENCE, V321, P15, DOI 10.1126/science.1162115; Arhweiler P., 1998, COMPUTER SIMULATION; BAKANIC V, 1987, AM SOCIOL REV, V52, P631, DOI 10.2307/2095599; Bjork BC, 2009, INFORM RES, V14; Boero R, 2005, JASSS-J ARTIF SOC S, V8; Boero R, 2010, JASSS-J ARTIF SOC S, V13, DOI 10.18564/jasss.1620; Bornmann L, 2008, J INFORMETR, V2, P280, DOI 10.1016/j.joi.2008.09.003; Bornmann L, 2007, J INFORMETR, V1, P204, DOI 10.1016/j.joi.2007.01.002; Bornmann L, 2007, J INFORMETR, V1, P83, DOI 10.1016/j.joi.2006.09.005; Bornmann L, 2011, ANNU REV INFORM SCI, V45, P199, DOI 10.1002/aris.2011.1440450112; Bornmann L, 2010, J INFORMETR, V4, P211, DOI 10.1016/j.joi.2009.10.004; Bosetti F, 2008, LIPIDS, V43, P107, DOI 10.1007/s11745-007-3134-5; Campanario JM, 1998, SCI COMMUN, V19, P277, DOI 10.1177/1075547098019004002; Campanario JM, 1998, SCI COMMUN, V19, P181, DOI 10.1177/1075547098019003002; Casati Fabio, 2009, DISI09045 U TRENT; CICCHETTI DV, 1991, BEHAV BRAIN SCI, V14, P119, DOI 10.1017/S0140525X00065675; Gilbert N, 1997, SOCIOL RES ONLINE, V2, pU24; Grant J, 1997, NATURE, V390, P438, DOI 10.1038/37213; Hedstrom P., 2005, DISSECTING SOCIAL PR; Horrobin DF, 2001, TRENDS PHARMACOL SCI, V22, P51, DOI 10.1016/S0165-6147(00)01618-7; Jayasinghe UW, 2006, SCIENTOMETRICS, V69, P591, DOI 10.1007/s11192-006-0171-4; Jayasinghe UW, 2001, EDUC EVAL POLICY AN, V23, P343, DOI 10.3102/01623737023004343; KASSIRER JP, 1994, JAMA-J AM MED ASSOC, V272, P96, DOI 10.1001/jama.272.2.96; Laband D. 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Informetr. APR 2012 6 2 265 275 10.1016/j.joi.2011.12.005 11 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 906RF WOS:000301364100010 2021-10-14 J Elleby, A; Ingwersen, P Elleby, Anita; Ingwersen, Peter Publication point indicators: A comparative case study of two publication point systems and citation impact in an interdisciplinary context JOURNAL OF INFORMETRICS English Article Journal Crown Indicator; Publication point indicators; Norwegian system; Web of Science; Google Scholar; Publication Point Ratio; Normalized Cumulated Publication Point; Index The paper presents comparative analyses of two publication point systems, The Norwegian and the in-house system from the interdisciplinary Danish Institute of International Studies (DIIS), used as case in the study for publications published 2006, and compares central citation-based indicators with novel publication point indicators (PPIs) that are formalized and exemplified. Two diachronic citation windows are applied: 2006-07 and 2006-08. Web of Science (WoS) as well as Google Scholar (GS) are applied to observe the cite delay and citedness for the different document types published by DIIS, journal articles, book chapters/conference papers and monographs. Journal Crown Indicator (JCI) calculations was based on WoS. Three PPIs are proposed: the Publication Point Ratio (PPR), which measures the sum of obtained publication points over the sum of the ideal points for the same set of documents; the Cumulated Publication Point Indicator (CPPI), which graphically illustrates the cumulated gain of obtained vs. ideal points, both seen as vectors; and the normalized Cumulated Publication Point Index (nCPPI) that represents the cumulated gain of publication success as index values, either graphically or as one overall score for the institution under evaluation. The case study indicates that for smaller interdisciplinary research institutions the cite delay is substantial (2-3 years to obtain a citedness of 50%) when applying WoS for articles. Applying GS implies a shorter delay and much higher citedness for all document types. Statistical significant correlations were only found between WoS and GS and the two publication point systems in between, respectively. The study demonstrates how the nCPPI can be applied to institutions as evaluation tools supplementary to JCI in various combinations, in particular when institutions include humanistic and social science disciplines. (C) 2010 Elsevier Ltd. All rights reserved. [Ingwersen, Peter] Royal Sch Lib & Informat Sci, DK-2300 Copenhagen S, Denmark; [Elleby, Anita] Natl Museum, Dept Conservat, DK-2800 Kongens Lyngby, Denmark Ingwersen, P (corresponding author), Royal Sch Lib & Informat Sci, Birketinget 6, DK-2300 Copenhagen S, Denmark. anita.elleby@gmail.com; pi@db.dk AHLGREN P, J AM SOC IN IN PRESS; BRAUN T, 1990, SCIENTOMETRICS, V19, P513, DOI 10.1007/BF02020712; Butler L, 2003, RES POLICY, V32, P143, DOI 10.1016/S0048-7333(02)00007-0; Butler L., 2008, ETHICS SCI ENV POLIT, V8; DROTNER K, 2007, MAGASINET HUMANIORA, V22, P4; HARNAD S, 2008, ETHICS SCI ENVIRONME, V8; HJORTGAARD C, 1997, SCIENTOMETRICS, V40, P529; Ingwersen P., 2005, TURN INTEGRATION INF; Ingwersen P, 2007, PROCEEDINGS OF ISSI 2007: 11TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOLS I AND II, P864; Jacso P, 2008, ONLINE INFORM REV, V32, P102, DOI 10.1108/14684520810866010; Jarvelin K, 2002, ACM T INFORM SYST, V20, P422, DOI 10.1145/582415.582418; Jarvelin K, 2008, J AM SOC INF SCI TEC, V59, P1433, DOI 10.1002/asi.20847; Martin BR, 1996, SCIENTOMETRICS, V36, P343, DOI 10.1007/BF02129599; Moed H.F., 2005, CITATION ANAL RES EV; Sandstrom U, 2009, RES EVALUAT, V18, P243, DOI 10.3152/095820209X466892; SCHNEIDER JW, 2009, NORWAY EUROPEAN POLI, V8, P364; SEGLEN PO, 1994, J AM SOC INFORM SCI, V45, P1, DOI 10.1002/(SICI)1097-4571(199401)45:1<1::AID-ASI1>3.0.CO;2-Y; SIVERTSEN G, 2007, 12 NORD WORKSH BIBL; SIVERTSEN G, 2007, MAGASINET HUMANIORA, V22, P22; Van Raan A, 1999, SCIENTOMETRICS, V45, P417, DOI 10.1007/BF02457601 20 6 6 1 23 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 J INFORMETR J. Informetr. OCT 2010 4 4 512 523 10.1016/j.joi.2010.06.001 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 647KA WOS:000281616200007 Green Submitted 2021-10-14 J Bornmann, L; Leydesdorff, L; Van den Besselaar, P Bornmann, Lutz; Leydesdorff, Loet; Van den Besselaar, Peter A meta-evaluation of scientific research proposals: Different ways of comparing rejected to awarded applications JOURNAL OF INFORMETRICS English Article Grant allocation; Peer review; Bibliometric quality indicators; Convergent validity and predictive validity; Error; Citation rate; h-Index H-INDEX; PERFORMANCE; INDICATORS; SCIENCE Combining different data sets with information on grant and fellowship applications submitted to two renowned funding agencies, we are able to compare their funding decisions (award and rejection) with scientometric performance indicators across two fields of science (life sciences and social sciences). The data sets involve 671 applications in social sciences and 668 applications in life sciences. In both fields, awarded applicants perform on average better than all rejected applicants. If only the most preeminent rejected applicants are considered in both fields, they score better than the awardees on citation impact. With regard to productivity we find differences between the fields. While the awardees in life sciences outperform on average the most preeminent rejected applicants, the situation is reversed in social sciences. (C) 2009 Elsevier Ltd. All rights reserved. [Bornmann, Lutz] ETH, CH-8092 Zurich, Switzerland; [Leydesdorff, Loet] Univ Amsterdam, ASCoR, NL-1012 CX Amsterdam, Netherlands; [Van den Besselaar, Peter] Rathenau Inst, Sci Syst Assessment Dept, NL-2593 HW The Hague, Netherlands; [Van den Besselaar, Peter] Vrije Univ Amsterdam, Dept Org Sci, Amsterdam, Netherlands Bornmann, L (corresponding author), ETH, Zahringerstr 24, CH-8092 Zurich, Switzerland. bornmann@gess.ethz.ch; loet@leydesdorff.net; p.vandenbesselaar@rathenau.nl van den Besselaar, Peter A A/E-5938-2013; van den Besselaar, Peter/A-8945-2011; Leydesdorff, Loet/E-2903-2010; Bornmann, Lutz/A-3926-2008 van den Besselaar, Peter A A/0000-0002-8304-8565; Leydesdorff, Loet/0000-0002-7835-3098; Bornmann, Lutz/0000-0003-0810-7091 ALLISON PD, 1980, SOC STUD SCI, V10, P163, DOI 10.1177/030631278001000203; BORNMANN L, 2007, ANN REV INF IN PRESS; Bornmann L, 2008, RES EVALUAT, V17, P149, DOI 10.3152/095820208X319166; Bornmann L, 2007, J INFORMETR, V1, P204, DOI 10.1016/j.joi.2007.01.002; Bornmann L, 2008, J AM SOC INF SCI TEC, V59, P830, DOI 10.1002/asi.20806; Bornmann L, 2007, J AM SOC INF SCI TEC, V58, P1100, DOI 10.1002/asi.20531; Bornmann L, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003480; Elkana Y., 1978, METRIC SCI ADVENT SC; Frey B, 2002, SUCCESSFUL MANAGEMEN; GARFIELD E, 1972, SCIENCE, V178, P471, DOI 10.1126/science.178.4060.471; Garfield E., 1979, CITATION INDEXING IT; Haan J. de, 1994, RES GROUPS DUTCH SOC; HAUSMAN J, 1984, ECONOMETRICA, V52, P909, DOI 10.2307/1911191; Hilbe J., 2007, NEGATIVE BINOMIAL RE; Hornbostel S, 2009, SCIENTOMETRICS, V79, P171, DOI 10.1007/s11192-009-0411-5; Hosmer D.W., 2000, APPL LOGISTIC REGRES; Long J. 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Informetr. JUL 2010 4 3 211 220 10.1016/j.joi.2009.10.004 10 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 607YQ WOS:000278543600001 Green Submitted 2021-10-14 J Quirin, A; Cordon, O; Vargas-Quesada, B; de Moya-Anegon, F Quirin, Arnaud; Cordon, Oscar; Vargas-Quesada, Benjamin; de Moya-Anegon, Felix Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms JOURNAL OF INFORMETRICS English Article Domain analysis; Social networks; Scientograms; Graph-based data mining; Scientogram mining; Subdue algorithm SCIENCE-CITATION-INDEX; PATHFINDER NETWORKS; ALGORITHM; MAPS; COCITATION; LITERATURES The creation of some kind of representations depicting the current state of Science (or scientograms) is an established and beaten track for many years now. However, if we are concerned with the automatic comparison, analysis and understanding of a set of scientograms, showing for instance the evolution of a scientific domain or a face-to-face comparison of several countries, the task is titanically complex as the amount of data to analyze becomes huge and complex. In this paper, we aim to show that graph-based data mining tools are useful to deal with scientogram analysis. Subdue, the first algorithm proposed in the graph mining area, has been chosen for this purpose. This algorithm has been customized to deal with three different scientogram analysis tasks regarding the evolution of a scientific domain over time, the extraction of the common research categories substructures in the world, and the comparison of scientific domains between different countries. The outcomes obtained in the developed experiments have clearly demonstrated the potential of graph mining tools in scientogram analysis. (C) 2010 Elsevier Ltd. All rights reserved. [Quirin, Arnaud; Cordon, Oscar] European Ctr Soft Comp, Mieres 33600, Spain; [Vargas-Quesada, Benjamin] Univ Granada, Commun & Informat Sci Fac, E-18071 Granada, Spain; [Vargas-Quesada, Benjamin] CSIC, Unidad Asociada, Grp Scimago, Granada 18071, Spain; [de Moya-Anegon, Felix] CSIC, CCHS, IPP, Madrid 28037, Spain Cordon, O (corresponding author), European Ctr Soft Comp, Edf Cient Tecnol, Mieres 33600, Spain. arnaud.quirin@softcomputing.es; oscar.cordon@softcomputing.es; benjamin@ugr.es; felix_demoya@cchs.csic.es de Moya Anegon, Felix/V-3678-2019; Vargas-Quesada, Benjamin/AAI-5334-2020; Quirin, Arnaud/L-5182-2014; Cordon, Oscar/F-6672-2011; de Moya Anegon, Felix/C-4004-2009; Vargas-Quesada, Benjamin/L-7222-2014 de Moya Anegon, Felix/0000-0002-0255-8628; Vargas-Quesada, Benjamin/0000-0001-5115-7460; Quirin, Arnaud/0000-0002-1587-3336; Cordon, Oscar/0000-0001-5112-5629; de Moya Anegon, Felix/0000-0002-0255-8628; Vargas-Quesada, Benjamin/0000-0001-5115-7460 Borgelt C, 2002, 2002 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, P51, DOI 10.1109/ICDM.2002.1183885; 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Informetr. JUL 2010 4 3 291 312 10.1016/j.joi.2010.01.004 22 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 607YQ WOS:000278543600009 2021-10-14 J Glanzel, W; Schubert, A Glanzel, Wolfgang; Schubert, Andras Hirsch-type characteristics of the tail of distributions. The generalised h-index JOURNAL OF INFORMETRICS English Article h-Index; g-Index; Ordered statistics In this paper a generalisation of the h-index and g-index is given on the basis of nonnegative real-valued functionals defined on subspaces of the vector space generated by the ordered samples. Several Hirsch-type measures are defined and their basic properties are analysed. Empirical properties are illustrated using examples from the micro- and meso-level. Among these measures, the h-index proved the most, the arithmetic and geometric g-indices, the least robust measures. The mu-index and the harmonic g-index provide more balanced results and are still robust enough. (C) 2009 Elsevier Ltd. All rights reserved. [Glanzel, Wolfgang] Katholieke Univ Leuven, Ctr R&D Monitoring, B-3000 Louvain, Belgium; [Glanzel, Wolfgang] Katholieke Univ Leuven, Dept MSI, B-3000 Louvain, Belgium; [Glanzel, Wolfgang; Schubert, Andras] Hungarian Acad Sci, Inst Res Policy Studies, Budapest, Hungary Glanzel, W (corresponding author), Katholieke Univ Leuven, Ctr R&D Monitoring, Dekenstr 2, B-3000 Louvain, Belgium. wolfgang.glanzel@econ.kuleuven.ac.be Glanzel, Wolfgang/A-6280-2008; Glanzel, Wolfgang/AAE-4395-2021; Schubert, Andras/H-8045-2015 Glanzel, Wolfgang/0000-0001-7529-5198; Schubert, Andras/0000-0001-8348-1775 Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Glanzel W, 2006, SCIENTOMETRICS, V67, P315, DOI 10.1556/Scient.67.2006.2.12; Glanzel W., 2006, SCI FOCUS, V1, P10; GLANZEL W, 2009, P 5 INT C WEB INF SC; Glanzel W., 1988, INFORM 87 88, P75; Glanzel W, 2009, PRO INT CONF SCI INF, V1, P120; Gumbel E.J., 1958, STAT EXTREMES; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Rousseau R., 2006, SCI FOCUS, V1, P23; Schreiber M, 2008, SCIENTOMETRICS, V76, P187, DOI 10.1007/s11192-007-1886-6; Tol RSJ, 2009, SCIENTOMETRICS, V80, P317, DOI 10.1007/s11192-008-2079-7; Woeginger GJ, 2009, J AM SOC INF SCI TEC, V60, P1267, DOI 10.1002/asi.21061 12 14 14 0 22 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JAN 2010 4 1 118 123 10.1016/j.joi.2009.10.002 6 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 530ZI WOS:000272631100013 2021-10-14 J Kousha, K; Thelwall, M; Rezaie, S Kousha, Kayvan; Thelwall, Mike; Rezaie, Somayeh Using the Web for research evaluation: The Integrated Online Impact indicator JOURNAL OF INFORMETRICS English Article Web citation; Online impact; Research evaluation; Webometrics GOOGLE SCHOLAR CITATIONS; SOCIAL-SCIENCES; OF-SCIENCE; H-INDEX; SCOPUS; SEARCH Previous research has shown that citation data from different types of Web sources can potentially be used for research evaluation. Here we introduce a new combined Integrated Online Impact (IOI) indicator. For a case study, we selected research articles published in the Journal of the American Society for Information Science & Technology (JASIST) and Scientometrics in 2003. We compared the citation counts from Web of Science (WoS) and Scopus with five online sources of citation data including Google Scholar, Google Books, Google Blogs, PowerPoint presentations and course reading lists. The mean and median IOI was nearly twice as high as both WoS and Scopus, confirming that online citations are sufficiently numerous to be useful for the impact assessment of research. Wealso found significant correlations between conventional and online impact indicators, confirming that both assess something similar in scholarly communication. Further analysis showed that the overall percentage for unique Google Scholar citations outside the WoS were 73% and 60% for the articles published in JASIST and Scientometrics, respectively. An important conclusion is that in subject areas where wider types of intellectual impact indicators outside the WoS and Scopus databases are needed for research evaluation, IOI can be used to help monitor research performance. (C) 2009 Elsevier Ltd. All rights reserved. [Kousha, Kayvan] Univ Tehran, Dept Lib & Informat Sci, Tehran, Iran; [Thelwall, Mike] Wolverhampton Univ, Sch Comp & Informat Technol, Wolverhampton WV1 1ST, W Midlands, England; [Rezaie, Somayeh] Shahid Beheshti Univ, Dept Lib & Informat Sci, Tehran, Iran Kousha, K (corresponding author), Univ Tehran, Dept Lib & Informat Sci, Jalle Ahmad Highway,POB 14155-6456, Tehran, Iran. kkoosha@ut.ac.ir; m.thelwall@wlv.ac.uk; s_aries80@yahoo.com Thelwall, Mike/C-1449-2013; Kousha, Kayvan/B-1937-2010 Thelwall, Mike/0000-0001-6065-205X; Kousha, Kayvan/0000-0003-4827-971X AJIFERUKE I, 2009, P 12 INT C INT SOC S, P798; Bar-Ilan J, 2005, INFORM PROCESS MANAG, V41, P973, DOI 10.1016/j.ipm.2004.02.005; Bar-Ilan J, 2004, SCIENTOMETRICS, V59, P391, DOI 10.1023/B:SCIE.0000018540.33706.c1; Bar-Ilan J, 2008, SCIENTOMETRICS, V74, P257, DOI 10.1007/s11192-008-0216-y; BAUER K, 2005, D LIB MAGAZINE, V11; Becher T., 2001, ACAD TRIBES TERRITOR; BEIEW R, 2005, SCI IMPACT QUANTITY; Borgman CL, 2002, ANNU REV INFORM SCI, V36, P3; Bornmann L, 2009, J INFORMETR, V3, P27, DOI 10.1016/j.joi.2008.11.001; Crane D., 1972, INVISIBLE COLL DIFFU; Harzing A.W., 2008, ETHICS SCI ENV POLIT, V8, P1, DOI [DOI 10.3354/ESEP00076, 10.3354/esep00076]; Harzing AW, 2009, J AM SOC INF SCI TEC, V60, P41, DOI 10.1002/asi.20953; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Jacso P, 2005, LECT NOTES COMPUT SC, V3815, P360; Jacso P, 2005, CURR SCI INDIA, V89, P1537; Jacso P, 2006, ONLINE INFORM REV, V30, P297, DOI 10.1108/14684520610675816; Kousha K, 2008, J AM SOC INF SCI TEC, V59, P2060, DOI 10.1002/asi.20920; Kousha K, 2007, LIBR INFORM SCI RES, V29, P495, DOI 10.1016/j.lisr.2007.05.003; Kousha K, 2008, SCIENTOMETRICS, V74, P273, DOI 10.1007/s11192-008-0217-x; Kousha K, 2007, J AM SOC INF SCI TEC, V58, P1055, DOI 10.1002/asi.20584; Kousha K, 2009, J AM SOC INF SCI TEC, V60, P1537, DOI 10.1002/asi.21085; Meho LI, 2007, J AM SOC INF SCI TEC, V58, P2105, DOI 10.1002/asi.20677; Moed H.F., 2005, CITATION ANAL RES EV; Nederhof AJ, 2006, SCIENTOMETRICS, V66, P81, DOI 10.1007/s11192-006-0007-2; Norris M, 2007, J INFORMETR, V1, P161, DOI 10.1016/j.joi.2006.12.001; SCHNEIDER JW, 2009, P 12 INT C SCI INF I, P443; Thelwall M, 2008, J AM SOC INF SCI TEC, V59, P805, DOI 10.1002/asi.20803; Vaughan L, 2005, J AM SOC INF SCI TEC, V56, P1075, DOI 10.1002/asi.20199; Vaughan L, 2003, J AM SOC INF SCI TEC, V54, P1313, DOI 10.1002/asi.10338; Walters WH, 2007, INFORM PROCESS MANAG, V43, P1121, DOI 10.1016/j.ipm.2006.08.006 30 44 47 1 79 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JAN 2010 4 1 124 135 10.1016/j.joi.2009.10.003 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 530ZI WOS:000272631100014 2021-10-14 J Alonso, S; Cabrerizo, FJ; Herrera-Viedma, E; Herrera, F Alonso, S.; Cabrerizo, F. J.; Herrera-Viedma, E.; Herrera, F. h-Index: A review focused in its variants, computation and standardization for different scientific fields JOURNAL OF INFORMETRICS English Review h-Index; Bibliometric indicators HIRSCH-INDEX; CITATION ANALYSIS; SELF-CITATION; IMPACT; RANKING; INDICATORS; SCIENCE; SCOPUS; RESEARCHERS; WEB The h-index and some related bibliometric indices have received a lot of attention from the scientific community in the last few years due to some of their good properties ( easiness of computation, balance between quantity of publications and their impact and so on). Many different indicators have been developed in order to extend and overcome the drawbacks of the original Hirsch proposal. In this contribution we present a comprehensive review on the h-index and related indicators field. From the initial h-index proposal we study their main advantages, drawbacks and the main applications that we can find in the literature. A description of many of the h-related indices that have been developed along with their main characteristics and some of the works that analyze and compare them are presented. We also review the most up to date standardization studies that allow a fair comparison by means of the h-index among scientists from different research areas and finally, some works that analyze the computation of the h-index and related indices by using different citation databases (ISI Citation Indexes, Google Scholar and Scopus) are introduced. (C) 2009 Elsevier Ltd. All rights reserved. [Alonso, S.] Univ Granada, Software Engn Dept, E-18071 Granada, Spain; [Herrera-Viedma, E.; Herrera, F.] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain Alonso, S (corresponding author), Univ Granada, Software Engn Dept, Periodista Daniel Saucedo Aranda S-N, E-18071 Granada, Spain. zerjioi@ugr.es; cabrerizo@issi.uned.es; viedma@decsai.ugr.es; herrera@decsai.ugr.es HERRERA-VIEDMA, ENRIQUE/C-2704-2008; Herrera, Francisco/C-6856-2008; Herrera, Francisco/K-9019-2017; Cabrerizo, Francisco Javier/A-3841-2015; Mafutsana, Mopedi/C-5157-2015; Burgos, Sergio Alonso/C-6793-2012 HERRERA-VIEDMA, ENRIQUE/0000-0002-7922-4984; Herrera, Francisco/0000-0002-7283-312X; Cabrerizo, Francisco Javier/0000-0001-7012-8649; Burgos, Sergio Alonso/0000-0001-6620-328X ALONSO S, SCIENTOMETR IN PRESS; Anderson TR, 2008, SCIENTOMETRICS, V76, P577, DOI 10.1007/s11192-007-2071-2; Arencibia-Jorge R, 2008, J AM SOC INF SCI TEC, V59, P155, DOI 10.1002/asi.20729; Ball P, 2005, NATURE, V436, P900, DOI 10.1038/436900a; 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Informetr. OCT 2009 3 4 273 289 10.1016/j.joi.2009.04.001 17 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 484VB WOS:000269075100001 Green Submitted, Green Accepted 2021-10-14 J Kosmulski, M Kosmulski, Marek New seniority-independent Hirsch-type index JOURNAL OF INFORMETRICS English Article Citation metrics; Hirsch-index; Hirsch-type indices; Research output H-INDEX The following seniority-independent Hirsch-type index has been defined. A scientist has index hpd if hpd of his/her papers have at least hpd citations per decade each, and his/her other papers have less than hpd + 1 citations per decade each. In contrast with the original h-index, which steadily increases in time, hpd of a mature scientist is nearly constant over many years, and hpd of an inactive scientist slowly declines. Therefore hpd is suitable to compare the scientific output of scientists in different ages. (C) 2009 Elsevier Ltd. All rights reserved. Lublin Univ Technol, Dept Electrochem, PL-20618 Lublin, Poland Kosmulski, M (corresponding author), Lublin Univ Technol, Dept Electrochem, Nadbystrzycka 38, PL-20618 Lublin, Poland. mkosmuls@hektor.umcs.lublin.pl Kosmulski, Marek/B-9158-2009; Kosmulski, Marek/F-2326-2010 Kosmulski, Marek/0000-0002-9698-7190 Bornmann L, 2009, EMBO REP, V10, P2, DOI 10.1038/embor.2008.233; Egghe L, 2008, J AM SOC INF SCI TEC, V59, P1608, DOI 10.1002/asi.20845; Egghe L, 2008, INFORM PROCESS MANAG, V44, P770, DOI 10.1016/j.ipm.2007.05.003; EXNER O, 1995, SCIENTOMETRICS, V32, P3, DOI 10.1007/BF02020185; Glanzel W, 2007, J INFORMETR, V1, P92, DOI 10.1016/j.joi.2006.10.001; Glanzel W, 2003, SCIENTOMETRICS, V58, P571, DOI 10.1023/B:SCIE.0000006881.30700.ea; GLANZEL W, 1994, SCIENTOMETRICS, V30, P49, DOI 10.1007/BF02017212; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Jin BH, 2007, CHINESE SCI BULL, V52, P855, DOI 10.1007/s11434-007-0145-9; Maricic S, 1998, J AM SOC INFORM SCI, V49, P530, DOI 10.1002/(SICI)1097-4571(19980501)49:6<530::AID-ASI5>3.0.CO;2-U; SCHREIBER M, 2007, EPL, V70, P30002; Schreiber M, 2008, J INFORMETR, V2, P211, DOI 10.1016/j.joi.2008.05.001; Sidiropoulos A, 2007, SCIENTOMETRICS, V72, P253, DOI 10.1007/s11192-007-1722-z; Van Dalen HP, 2004, POPUL DEV REV, V30, P489; van Raan AFJ, 2004, SCIENTOMETRICS, V59, P467, DOI 10.1023/B:SCIE.0000018543.82441.f1 15 12 12 0 15 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. OCT 2009 3 4 341 347 10.1016/j.joi.2009.05.003 7 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 484VB WOS:000269075100008 2021-10-14 J Moreira, BL; Goncalves, MA; Laender, AHF; Fox, EA Moreira, Barbara L.; Goncalves, Marcos Andre; Laender, Alberto H. F.; Fox, Edward A. Automatic evaluation of digital libraries with 5SQual JOURNAL OF INFORMETRICS English Article Digital libraries; Quality assessment; 5S; 5SQual MODEL; 5S Digital libraries (DLs) are complex information systems which can present changes in their structure, content, and services. These complexities and dynamics make system maintenance a non-trivial task, since it requires periodical evaluation of the different DL components. Generally, these evaluations are customized per system and are performed only when problems occur and administrator intervention is required. This work aims to change the situation. We present 5SQual, a tool which provides ways to perform automatic and configurable evaluations of some of the most important DL components, among them, digital objects, metadata, and services. The tool implements diverse numeric indicators that are associated with eight quality dimensions described in the 5S quality model. Its generic architecture was developed to be applicable to various DLs and scenarios. In sum, the main contributions of this work include: (i) the design and implementation of 5SQual, a tool that validates a theoretical DL quality model; (ii) the demonstration of the applicability of the tool in several usage scenarios; and (iii) the evaluation (with usability specialists) of its graphical interface specially designed to guide the configuration of 5SQual evaluations. We also present the results of interviews conducted with administrators of real DLs regarding their expectations and opinions about 5SQual. (C) 2008 Elsevier Ltd. All rights reserved. [Moreira, Barbara L.; Goncalves, Marcos Andre; Laender, Alberto H. F.] Univ Fed Minas Gerais, Dept Comp Sci, BR-31270901 Belo Horizonte, MG, Brazil; [Fox, Edward A.] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA Goncalves, MA (corresponding author), Univ Fed Minas Gerais, Dept Comp Sci, BR-31270901 Belo Horizonte, MG, Brazil. mgoncalv@dcc.ufmg.br InWeb, Inct/J-9839-2013 Goncalves, Marcos Andre/0000-0002-2075-3363 Couto T, 2006, OPENING INFORMATION HORIZONS, P75; FUHR N, 2001, P EUR C DIG LIB, P187; Fuhr N, 2007, INT J DIGIT LIBRARIE, V8, P21, DOI 10.1007/s00799-007-0011-z; Goncalves MA, 2003, ACM-IEEE J CONF DIG, P312; Goncalves MA, 2004, ACM T INFORM SYST, V22, P270, DOI 10.1145/984321.984325; Goncalves MA, 2007, INFORM PROCESS MANAG, V43, P1416, DOI 10.1016/j.ipm.2006.11.010; GORTON D, 2007, THESIS DEP COMPUTER; KESSLER MM, 1963, AM DOC, V14, P10, DOI 10.1002/asi.5090140103; KLAS CP, 2006, P 6 ACM IEEE CS JOIN, P308; KNOX D, 2002, P 7 ANN C INN TECHN, P225; Kuniavsky M., 2010, P SIGCHI C HUM FACT, DOI DOI 10.1145/97243.97281; Kyrillidou M, 2005, ACM-IEEE J CONF DIG, P172, DOI 10.1145/1065385.1065426; Laender AHF, 2004, ACM-IEEE J CONF DIG, P23, DOI 10.1145/996350.996357; MA Y, 2007, P 1 PHD WORKSH CIKM, P117; Ma Y, 2007, ACM-IEEE J CONF DIG, P491; MURTHY U, 2007, P 1 WORKSH DIG LIB F, P25; NICOLACIDACOSTA AM, 2004, AN 6 S BRAS FAT HUM, P47; Nielsen J., 1994, USABILITY ENG; *OAI, 2001, OP ARCH IN PROT MET; Saracevic T, 2000, P ASIS ANN, V37, P341; Saracevic T, 2000, LIBR TRENDS, V49, P350; SHEN R, 2006, THESIS VIRGINIA TECH; SMALL H, 1973, J AM SOC INFORM SCI, V24, P265, DOI 10.1002/asi.4630240406; Tsakonas G, 2004, DELOS WP7 WORKSH EV 24 25 25 0 29 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. APR 2009 3 2 102 123 10.1016/j.joi.2008.12.003 22 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 420VM WOS:000264317300002 2021-10-14 J Guns, R; Rousseau, R Guns, Raf; Rousseau, Ronald Real and rational variants of the h-index and the g-index JOURNAL OF INFORMETRICS English Article Indicators; h-Index; g-Index; Rational h-index; Rational g-index; Real h-index; Real g-index ECONOMICS; IRELAND The definitions of the rational and real-valued variants of the h-index and g-index are reviewed. It is shown how they can be obtained both graphically and by calculation. Formulae are derived expressing the exact relations between the h-variants and between the g-variants. Subsequently these relations are examined. In a citation context the real h-index is often, but not always, smaller than the rational h-index. It is also shown that the relation between the real and the rational g-index depends on the number of citations of the article ranked g + 1. Maximum differences between h, h(r) and h(rat) on the one hand and between g, g(r) and g(rat) on the other are determined. (C) 2008 Elsevier Ltd. All rights reserved. [Guns, Raf] Univ Antwerp, IBW, B-2000 Antwerp, Belgium; [Rousseau, Ronald] KHBO, Associat KU Leuven, Ind Sci & Technol, B-8400 Oostende, Belgium; [Rousseau, Ronald] Hasselt Univ, B-3590 Diepenbeek, Belgium; [Rousseau, Ronald] Steunpunt O&O Indicatoren, KU Leuven, B-3000 Louvain, Belgium; [Rousseau, Ronald] Dept MSI, B-3000 Louvain, Belgium Guns, R (corresponding author), Univ Antwerp, IBW, Venusstr 35,City Campus, B-2000 Antwerp, Belgium. raf.guns@ua.ac.be; ronald.rousseau@khbo.be Guns, Raf/D-6762-2012 Guns, Raf/0000-0003-3129-0330 CHAI JC, 2008, P WIS 2008 BERL 4 IN; EGGHE L, 2006, ISSI NEWSLETTER, V2, P8; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Rousseau R., 2006, SIMPLE MODELS CORRES; Ruane F, 2008, SCIENTOMETRICS, V75, P395, DOI 10.1007/s11192-007-1869-7; Tol RSJ, 2008, J INFORMETR, V2, P149, DOI 10.1016/j.joi.2008.01.001 7 50 52 0 30 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 J INFORMETR J. Informetr. JAN 2009 3 1 64 71 10.1016/j.joi.2008.11.004 8 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 395BI WOS:000262496700006 2021-10-14 J Woeginger, GJ Woeginger, Gerhard J. An axiomatic analysis of Egghe's g-index JOURNAL OF INFORMETRICS English Article Scientific impact measures; Citation analysis; Axiomatization H-INDEX The g-index is a well-known index for measuring and comparing the output of scientific researchers, which has been introduced by Leo Egghe in 2006 as an improvement of the Hirsch-index. This article gives an axiomatic characterization of the g-index in terms of three natural axioms. (C) 2008 Elsevier Ltd. All rights reserved. TU Eindhoven, Dept Math & Comp Sci, NL-5600 MB Eindhoven, Netherlands Woeginger, GJ (corresponding author), TU Eindhoven, Dept Math & Comp Sci, POB 513, NL-5600 MB Eindhoven, Netherlands. gwoegi@win.tue.nl Cronin B, 2006, J AM SOC INF SCI TEC, V57, P1275, DOI 10.1002/asi.20354; EGGHE L, 2006, ISSI NEWSLETTER, V2, P8; Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7; Gross P L, 1927, Science, V66, P385, DOI 10.1126/science.66.1713.385; Hirsch JE, 2007, P NATL ACAD SCI USA, V104, P19193, DOI 10.1073/pnas.0707962104; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Muirhead RF., 1902, P EDINB MATH SOC, V21, P144, DOI [DOI 10.1017/S001309150003460X, 10.1017/S001309150003460X]; Oppenheim C, 2007, J AM SOC INF SCI TEC, V58, P297, DOI 10.1002/asi.20460 8 59 59 1 16 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. OCT 2008 2 4 364 368 10.1016/j.joi.2008.05.002 5 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 372LS WOS:000260903700012 2021-10-14 J Liu, YX; Rousseau, R Liu, Yuxian; Rousseau, Ronald Definitions of time series in citation analysis with special attention to the h-index JOURNAL OF INFORMETRICS English Article time series; citation analysis; h-index; impact factors HIRSCH-INDEX; MATRIX; MODEL The structure of different types of time series in citation analysis is revealed, using an adapted form of the Frandsen-Rousseau notation. Special cases where this approach can be used include time series of impact factors and time series of h-indices, or h-type indices. This leads to a tool describing dynamic aspects of citation analysis. Time series of h-indices are calculated in some specific models. (C) 2008 Elsevier Ltd. All rights reserved. [Liu, Yuxian] Tongji Univ Lib, Period Div, Reading Sect, Shanghai 200092, Peoples R China; [Liu, Yuxian] Univ Antwerp, IBW, B-2000 Antwerp, Belgium; [Rousseau, Ronald] KHBO Assoc KU Leuven, Dept Ind Sci & Technol, B-8400 Oostende, Belgium; [Rousseau, Ronald] Hasselt Univ, B-3590 Diepenbeek, Belgium; [Rousseau, Ronald] Katholieke Univ Leuven, Steunpunt O&O Indicatoren, B-3000 Louvain, Belgium Rousseau, R (corresponding author), KHBO Assoc KU Leuven, Dept Ind Sci & Technol, Zeedijk 101, B-8400 Oostende, Belgium. yxliu@lib.tongji.edu.cn; ronald.rousseau@khbo.be Liu, Yuxian/0000-0001-9294-919X ANDERSON TT, 2008, SCIENTOMETRICS; Burrell QL, 2007, SCIENTOMETRICS, V73, P19, DOI 10.1007/s11192-006-1774-5; Egghe L., 2008, J AM SOC INFORM SCI; Egghe L, 2006, SCIENTOMETRICS, V69, P121, DOI 10.1007/s11192-006-0143-8; Epstein RJ, 2004, J INVEST MED, V52, P531, DOI 10.1136/jim-52-08-25; Frandsen TF, 2005, J AM SOC INF SCI TEC, V56, P58, DOI 10.1002/asi.20100; Franses P. H., 2003, Scientometrics, V56, P29; Glanzel W, 2004, SCIENTOMETRICS, V60, P511, DOI 10.1023/B:SCIE.0000034391.06240.2a; Gupta BM, 1997, SCIENTOMETRICS, V40, P139, DOI 10.1007/BF02459265; Hirsch JE, 2007, P NATL ACAD SCI USA, V104, P19193, DOI 10.1073/pnas.0707962104; Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102; Ingwersen P, 2001, CHINESE SCI BULL, V46, P524, DOI 10.1007/BF03187274; Jin B.H., 2007, SCI FOCUS, P1; Kelly CD, 2006, TRENDS ECOL EVOL, V21, P167, DOI 10.1016/j.tree.2006.01.005; Liang LM, 2006, SCIENTOMETRICS, V69, P153, DOI 10.1007/s11192-006-0145-6; Liang LM, 2005, J AM SOC INF SCI TEC, V56, P1045, DOI 10.1002/asi.20196; LIU YX, 2008, SCIENTOMETRICS; Lopez-Abente G, 2005, BMC PUBLIC HEALTH, V5, DOI 10.1186/1471-2458-5-24; ROSSEAU R, 2008, AGE DEPENDENT H TYPE; Rousseau, 2006, SCI FOCUS, V1, P16 20 28 29 1 37 ELSEVIER SCIENCE BV AMSTERDAM PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 1751-1577 1875-5879 J INFORMETR J. Informetr. JUL 2008 2 3 202 210 10.1016/j.joi.2008.04.003 9 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 327ZQ WOS:000257767400004 2021-10-14 J da Silva, R; Stasiu, R; Orengo, VM; Heuser, CA da Silva, Roberto; Stasiu, Raquel; Orengo, Viviane Moreira; Heuser, Carlos A. Measuring quality of similarity functions in approximate data matching JOURNAL OF INFORMETRICS English Article approximate data matching; similarity functions; retrieval evaluation This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to determine whether two data instances represent the same real world object. Our method is based on the semi-automatic estimation of optimal threshold values. We propose two methods for performing such estimation. The first method is an algorithm based on a reward function, and the second is a statistical method. Experiments were carried out to validate the techniques proposed. The results show that both methods for threshold estimation produce similar results. The output of such methods was used to design a grading function for similarity functions. This grading function, called discernability, was used to compare a number of similarity functions applied to an experimental data set. (c) 2006 Elsevier Ltd. All rights reserved. [da Silva, Roberto; Stasiu, Raquel; Orengo, Viviane Moreira; Heuser, Carlos A.] Inst Informat, UFRGS, Porto Alegre, RS, Brazil da Silva, R (corresponding author), Inst Informat, UFRGS, Porto Alegre, RS, Brazil. rdasilva@inf.ufrgs.br; rkstasiu@inf.ufrgs.br; vmorengo@inf.ufrgs.br; heuser@inf.ufrgs.br da Silva, Roberto/M-8477-2015 da Silva, Roberto/0000-0001-6110-0441; Moreira, Viviane/0000-0003-4400-054X Bilenko M, 2003, IEEE INTELL SYST, V18, P16, DOI 10.1109/MIS.2003.1234765; Cohen W.W, 2003, P IJCAI 03 WORKSH IN, P73; DORNELES CF, 2004, WIDM 04 P 6 ANN ACM, P56; GUTH GJA, 1976, HIST METH NEWSLETT, V10, P10, DOI 10.1080/00182494.1976.10112645; HALL PAV, 1980, COMPUT SURV, V12, P381, DOI 10.1145/356827.356830; Jaccard P., 1912, NEW PHYTOL, V11, P37, DOI [DOI 10.1111/J.1469-8137.1912.TB05611.X, 10.1111/j.1469-8137.1912.tb05611.x]; JARO MA, 1989, J AM STAT SOC, V64, P1183; Levenshtein V. 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JAN 2007 1 1 35 46 10.1016/j.joi.2006.09.001 12 Computer Science, Interdisciplinary Applications; Information Science & Library Science Computer Science; Information Science & Library Science 274AN WOS:000253974300006 Green Submitted 2021-10-14 J Kretschmer, H; Kretschmer, T Kretschmer, Hildrun; Kretschmer, Theo Lotka's distribution and distribution of co-author pairs' frequencies JOURNAL OF INFORMETRICS English Article Lotka's distribution; collaboration; co-authors; Gestalt theory; Yin-Yang-teaching INTERNATIONAL SCIENTIFIC COLLABORATION; LINK INDICATOR; SCIENCE; COUNTRIES; PROFILES; NETWORKS; PATTERNS The original Lotka's Law refers to single scientist distribution, i.e. the frequency of authors A(i) with i publications per author is a function of i: A(i) =f(i). However, with increasing collaboration in science and in technology the study of the frequency of pairs or triples of co-authors is highly relevant. Starting with pair distribution well-ordered collaboration structures of co-author pairs will be presented, i.e. the frequency of co-author pairs N-ij between authors with i publications per author and authors with j publications per author is a function of i and j: N-ij =f(i,j) using the normal count procedure for counting i or j. We have assumed that the distribution of co-author pairs' frequencies can be considered to be reflection of a social Gestalt and therefore can be described by the corresponding mathematical function based on well-known general characteristics of structures in interpersonal relations in social networks. We have shown that this model of social Gestalts can better explain the distribution of co-author pairs than by a simple bivariate function in analogy to Lotka's Law. This model is based on both the Gestalt theory and the old Chinese Yin/Yang theory. (c) 2007 Elsevier Ltd. All fights reserved. 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