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Exploring the limitations of the h-index and h-type indexes in measuring the research performance of authors

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  • Jingda Ding

    (Shanghai University)

  • Chao Liu

    (Shanghai University)

  • Goodluck Asobenie Kandonga

    (Shanghai University)

Abstract

With the introduction of an increasing number of evaluation indexes, researchers have begun to pay attention to the limitations of such indexes in research evaluation, understanding which to avoid misusing and making evaluation more scientific and reasonable. Analysing the principles of the h-index, g-index, AR-index, p-index, integrated impact indicator (I3), and academic trace, this paper explores their limitations in measuring the research performance of authors from the perspectives of consistency, the degree of discrimination, and the statistical relationship between the values of indicators and the number of publications and citations. There are some interesting findings. These six indicators are highly consistent, and they are all more susceptible to the number of publications than to the frequency of citations. Among them, the h-index has the lowest degree of discrimination, followed by the g-index, I3, AR-index, p-index, and academic trace. The g-index ignores papers and citations other than the g-core. Moreover, compared to the h-index, the accumulation of citations makes it easier for the g-index to be equal to the number of papers published by an author, and once its value equals the number of papers, subsequent citations received by these papers will no longer contribute to the growth of the g-index unless the author publishes a new paper. Additionally, the AR-index ignores the h-tail papers and citations, which underestimates the impact of many researchers. Moreover, the p-index is insensitive to highly cited papers. Furthermore, the I3 is very vulnerable to the influence of the extremums in a data set. Finally, we propose considerations and suggestions for the research performance evaluation of authors.

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  • Jingda Ding & Chao Liu & Goodluck Asobenie Kandonga, 2020. "Exploring the limitations of the h-index and h-type indexes in measuring the research performance of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1303-1322, March.
  • Handle: RePEc:spr:scient:v:122:y:2020:i:3:d:10.1007_s11192-020-03364-1
    DOI: 10.1007/s11192-020-03364-1
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    1. Caroline S. Wagner & Loet Leydesdorff, 2012. "An Integrated Impact Indicator: A new definition of 'Impact' with policy relevance," Research Evaluation, Oxford University Press, vol. 21(3), pages 183-188, July.
    2. Tol, Richard S.J., 2008. "A rational, successive g-index applied to economics departments in Ireland," Journal of Informetrics, Elsevier, vol. 2(2), pages 149-155.
    3. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    4. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    5. Isola Ajiferuke & Dietmar Wolfram, 2010. "Citer analysis as a measure of research impact: library and information science as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 623-638, June.
    6. Marcin Kozak & Lutz Bornmann, 2012. "A New Family of Cumulative Indexes for Measuring Scientific Performance," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-4, October.
    7. Fred Y. Ye & Loet Leydesdorff, 2014. "The “academic trace” of the performance matrix: A mathematical synthesis of the h-index and the integrated impact indicator (I3)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 742-750, April.
    8. Philip Ball, 2005. "Index aims for fair ranking of scientists," Nature, Nature, vol. 436(7053), pages 900-900, August.
    9. Juan E. Iglesias & Carlos Pecharromán, 2007. "Scaling the h-index for different scientific ISI fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 303-320, December.
    10. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    11. Michael Schreiber, 2009. "Fractionalized counting of publications for the g‐Index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2145-2150, October.
    12. Gangan Prathap, 2010. "Is there a place for a mock h-index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 153-165, July.
    13. Lutz Bornmann, 2013. "How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top-cited papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(3), pages 587-595, March.
    14. Loet Leydesdorff & Lutz Bornmann, 2011. "Integrated impact indicators compared with impact factors: An alternative research design with policy implications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2133-2146, November.
    15. Chun-Ting Zhang, 2013. "The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
    16. Isola Ajiferuke & Kun Lu & Dietmar Wolfram, 2010. "A comparison of citer and citation-based measure outcomes for multiple disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(10), pages 2086-2096, October.
    17. S. Alonso & F. J. Cabrerizo & E. Herrera-Viedma & F. Herrera, 2010. "hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 391-400, February.
    18. Giovanni Abramo & Ciriaco Andrea D'Angelo & Fulvio Viel, 2013. "Assessing the accuracy of the h- and g-indexes for measuring researchers' productivity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(6), pages 1224-1234, June.
    19. J. E. Hirsch, 2019. "hα: An index to quantify an individual’s scientific leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 673-686, February.
    20. Michael Schreiber, 2008. "An empirical investigation of the g‐index for 26 physicists in comparison with the h‐index, the A‐index, and the R‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(9), pages 1513-1522, July.
    21. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    22. Isola Ajiferuke & Kun Lu & Dietmar Wolfram, 2010. "A comparison of citer and citation‐based measure outcomes for multiple disciplines," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(10), pages 2086-2096, October.
    23. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    24. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    25. Michael Schreiber, 2010. "Revisiting the g-index: The average number of citations in the g-core," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(1), pages 169-174, January.
    26. Burrell, Quentin L., 2007. "On the h-index, the size of the Hirsch core and Jin's A-index," Journal of Informetrics, Elsevier, vol. 1(2), pages 170-177.
    27. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fulvio Viel, 2013. "The suitability of h and g indexes for measuring the research performance of institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 555-570, December.
    28. Gerhard J. Woeginger, 2009. "Generalizations of Egghe's g‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1267-1273, June.
    29. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    30. Rodrigo Costas & María Bordons, 2008. "Is g-index better than h-index? An exploratory study at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 267-288, November.
    31. Liming Liang, 2006. "h-index sequence and h-index matrix: Constructions and applications," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 153-159, October.
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