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Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database

Author

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  • Chia-Lin Chang

    (National Chung Hsing University, Taiwan)

  • Michael McAleer

    (National Tsing Hua University, Erasmus University Rotterdam, Complutense University of Madrid, Spain)

Abstract

Virtually all rankings of journals are based on citations, including self citations by journals and individual academics. The gold standard for bibliometric rankings based on citations data is the widely-used Thomson Reuters Web of Science (2014) citations database, which publishes, among others, the celebrated Impact Factor. However, there are numerous bibliometric measures, also known as research assessment measures, based on the Thomson Reuters citations database, but they do not all seem to have been collected in a single source. The purpose of this paper is to present, define and compare the 16 most well-known Thomson Reuters bibliometric measures in a single source. It is important that the existing bibliometric measures be presented in any rankings papers as alternative bibliometric measures based on the Thomson Reuters citations database can and do produce different rankings, as has been documented in a number of papers in the bibliometrics literature.

Suggested Citation

  • Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20150044
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    References listed on IDEAS

    as
    1. Chia-Lin Chang & Michael McAleer, 2013. "Ranking journal quality by harmonic mean of ranks: an application to ISI statistics & probability," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(1), pages 27-53, February.
    2. Chia-Lin Chang & Michael Mcaleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison With Isi Research Impact In Finance," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 1-30.
    3. Chang Chia-Lin & McAleer Michael, 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Review of Economics, De Gruyter, vol. 65(1), pages 35-52, April.
    4. Chia-Lin Chang & Michael McAleer, 2016. "Quality weighted citations versus total citations in the sciences and social sciences, with an application to finance and accounting," Managerial Finance, Emerald Group Publishing, vol. 42(4), pages 324-337, April.
    5. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "Great Expectatrics: Great Papers, Great Journals, Great Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 30(6), pages 583-619.
    6. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2016. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Reviews, Taylor & Francis Journals, vol. 35(1), pages 50-97, January.
    7. Michael McAleer & Chia-Lin Chang, 2011. "Citations and Impact of ISI Tourism and Hospitality Journals," KIER Working Papers 781, Kyoto University, Institute of Economic Research.
    8. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "What makes a great journal great in the sciences? Which came first, the chicken or the egg?," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 17-40, April.
    9. Chang, Chia-Lin & McAleer, Michael & Oxley, Les, 2013. "Coercive journal self citations, impact factor, Journal Influence and Article Influence," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 190-197.
    10. Chia-Lin Chang & Michael McAleer, 2014. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environmental and Resource Economics," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 33-47.
    11. Chia-Lin Chang & Michael McAleer, 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometrics, MDPI, Open Access Journal, vol. 1(3), pages 1-19, November.
    12. Chia-Lin Chang & Michael McAleer, 2014. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences," Working Papers in Economics 14/08, University of Canterbury, Department of Economics and Finance.
    13. Chia‐Lin Chang & Michael McAleer & Les Oxley, 2011. "What Makes A Great Journal Great In Economics? The Singer Not The Song," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 326-361, April.
    14. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "How are journal impact, prestige and article influence related? An application to neuroscience," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2563-2573, January.
    15. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    Cited by:

    1. Michael McAleer, 2015. "Research Ideas for the Journal of Informatics and Data Mining: Opinion," Documentos de Trabajo del ICAE 2015-13, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. repec:gam:jsusta:v:10:y:2018:i:3:p:577-:d:133294 is not listed on IDEAS
    3. McAleer, M.J. & Oláh, J. & Popp, J., 2018. "Pros and Cons of the Impact Factor in a Rapidly Changing Digital World," Econometric Institute Research Papers EI2018-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    More about this item

    Keywords

    Research assessment measures; Impact factors; Bibliometric measures;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts

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