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Ranking Journal Quality by Harmonic Mean of Ranks: An Application to ISI Statistics & Probability

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Abstract

As the preponderance of journal rankings becomes increasingly more frequent and prominent in academic decision making, such rankings in broad discipline categories is tak-ing on an increasingly important role. The paper focuses on the robustness of rankings of academic journal quality and research impact using on the widely-used Thomson Reuters ISI Web of Science citations database (ISI) for the Statistics & Probability category. The paper analyses 110 ISI international journals in Statistics & Probability using quantifiable Research Assessment Measures (RAMs), and highlights the similarities and differences in various RAMs, which are based on alternative transformations of citations and influence. Alternative RAMs may be calculated annually or updated daily to determine When, Where and How (fre-quently) published papers are cited (see Chang et al. (2011a, b, c), Chang et al. (2012)). The RAMs are grouped in four distinct classes that include impact factor, mean citations and non-citations, journal policy, number of high quality papers, and journal influence and article in-fluence. These classes include the most widely used RAMs, namely the classic 2-year impact factor including journal self-citations (2YIF), 2-year impact factor excluding journal self-citations (2YIF*), 5-year impact factor including journal self-citations (5YIF), Eigenfactor (or Journal Influence), Article Influence, h-index, PI-BETA (Papers Ignored - By Even The Authors), 5YD2 (= 5YIF/2YIF) as a measure of citations longevity, and Escalating Self Cita-tions (ESC) as a measure of increasing journal self-citations. The paper highlights robust rankings based on the harmonic mean of the ranks of RAMs across the 4 classes. We show that focusing solely on the 2-year impact factor (2YIF) of a journal, which partly answers the question as to When published papers are cited, to the exclusion of other informative RAMs, which answer Where and How (frequently) published papers are cited, can distort the evalua-tion of journal quality, impact and influence, relative to the more robust harmonic mean of the ranks.

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  • Chia-Lin Chang & Michael McAleer, 2012. "Ranking Journal Quality by Harmonic Mean of Ranks: An Application to ISI Statistics & Probability," Working Papers in Economics 12/11, University of Canterbury, Department of Economics and Finance.
  • Handle: RePEc:cbt:econwp:12/11
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    File URL: http://www.econ.canterbury.ac.nz/RePEc/cbt/econwp/1211.pdf
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    References listed on IDEAS

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    1. repec:spr:scient:v:87:y:2011:i:1:d:10.1007_s11192-010-0335-0 is not listed on IDEAS
    2. Erjen van Nierop, 2010. "The introduction of the 5-year impact factor: does it benefit statistics journals?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(1), pages 71-76.
    3. Chia-Lin Chang & Michael Mcaleer, 2012. "Aggregation, Heterogeneous Autoregression And Volatility Of Daily International Tourist Arrivals And Exchange Rates," The Japanese Economic Review, Japanese Economic Association, pages 397-419.
    4. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2016. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Reviews, Taylor & Francis Journals, pages 50-97.
    5. Erjen van Nierop, 2009. "Why do statistics journals have low impact factors?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(1), pages 52-62.
    6. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "Great Expectatrics: Great Papers, Great Journals, Great Econometrics," Econometric Reviews, Taylor & Francis Journals, pages 583-619.
    7. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2010. "Investor preferences for oil spot and futures based on mean-variance and stochastic dominance," Econometric Institute Research Papers EI 2010-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. 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.
    10. 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, pages 2563-2573.
    11. Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "What Makes a Great Journal Great in the Sciences? Which Came First, the Chicken or the Egg?," KIER Working Papers 746, Kyoto University, Institute of Economic Research.
    12. 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, pages 2563-2573.
    13. 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, pages 17-40.
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    Citations

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    Cited by:

    1. Chia-Lin Chang & Michael Mcaleer, 2014. "Just How Good Are The Top Three Journals In Finance? An Assessment Based On Quantity And Quality Citations," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., pages 1-31.
    2. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," KIER Working Papers 851, Kyoto University, Institute of Economic Research.
    3. 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.
    4. Thorsten Upmann & Julia Müller, 2014. "The Structure of Firm-Specific Labour Unions," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, pages 336-385.
    5. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2015. "Behavioural, Financial, and Health & Medical Economics: A Connection," Econometric Institute Research Papers EI2015-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. 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.
    7. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2016. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Reviews, Taylor & Francis Journals, pages 50-97.
    8. repec:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2434-7 is not listed on IDEAS
    9. Emmanouil Tranos & Peter Nijkamp, 2014. "Digital infrastructure and physical proximity," Chapters,in: Regional Development and Proximity Relations, chapter 8, pages 267-290 Edward Elgar Publishing.
    10. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals Based on the Thomson Reuters Citations Database," Journal of Reviews on Global Economics, Lifescience Global, pages 120-125.
    11. David L. Anderson & John Tressler, 2015. "Are Researcher Rankings Stable Across Alternative Output Measurement Schemes in the Context of a Time Limited Research Evaluation? The New Zealand Case," Working Papers in Economics 15/10, University of Waikato.
    12. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," Tinbergen Institute Discussion Papers 13-040/III, Tinbergen Institute.
    13. repec:eee:respol:v:46:y:2017:i:10:p:1707-1722 is not listed on IDEAS
    14. 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.
    15. D. E. Allen & M. McAleer & R. J. Powell & A. K. Singh, 2016. "A capital adequacy buffer model," Applied Economics Letters, Taylor & Francis Journals, pages 175-179.
    16. Berry, James & Karlan, Dean S. & Pradhan, Menno, 2015. "The Impact of Financial Education for Youth in Ghana," CEPR Discussion Papers 10529, C.E.P.R. Discussion Papers.
    17. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2014. "Evaluating Macroeconomic Forecasts: A Concise Review Of Some Recent Developments," Journal of Economic Surveys, Wiley Blackwell, pages 195-208.
    18. Chia-Lin Chang & Michael McAleer & Les Oxley, 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Documentos de Trabajo del ICAE 2012-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    19. 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.

    More about this item

    Keywords

    Research assessment measures; impact factor; IFI; C3PO; PI-BETA; STAR; Eigenfactor; Article Influence; h-index; 5YD2; ESC; harmonic mean of the ranks; Statistics & Probability; robust journal rankings;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • 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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