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hIa: an individual annual h-index to accommodate disciplinary and career length differences

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  • Anne-Wil Harzing

    (University of Melbourne
    ESCP Europe)

  • Satu Alakangas

    (University of Melbourne)

  • David Adams

    (Tarma Software Research)

Abstract

Hirsch’s h-index cannot be used to compare academics that work in different disciplines or are at different career stages. Therefore, a metric that corrects for these differences would provide information that the h-index and its many current refinements cannot deliver. This article introduces such a metric, namely the hI,annual (or hIa for short). The hIa-index represents the average annual increase in the individual h-index. Using a sample of 146 academics working in five major disciplines and representing a wide variety of career lengths, we demonstrate that this metric attenuates h-index differences attributable to disciplinary background and career length. It is also easy to calculate with readily available data from all major bibliometric databases, such as Thomson Reuters Web of Knowledge, Scopus and Google Scholar. Finally, as the metric represents the average number of single-author-equivalent “impactful” articles that an academic has published per year, it also allows an intuitive interpretation. Although just like any other metric, the hIa-index should never be used as the sole criterion to evaluate academics, we argue that it provides a more reliable comparison between academics than currently available metrics.

Suggested Citation

  • Anne-Wil Harzing & Satu Alakangas & David Adams, 2014. "hIa: an individual annual h-index to accommodate disciplinary and career length differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 811-821, June.
  • Handle: RePEc:spr:scient:v:99:y:2014:i:3:d:10.1007_s11192-013-1208-0
    DOI: 10.1007/s11192-013-1208-0
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    References listed on IDEAS

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    1. 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.
    2. John Antonakis & Rafael Lalive, 2008. "Quantifying Scholarly Impact: IQp Versus the Hirsch h," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(6), pages 956-969, April.
    3. Anton J. Nederhof, 2006. "Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A Review," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 81-100, January.
    4. 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.
    5. Richard S. J. Tol, 2011. "Credit where credit’s due: accounting for co-authorship in citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 291-299, October.
    6. Quentin L. Burrell, 2007. "Hirsch index or Hirsch rate? Some thoughts arising from Liang’s data," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 19-28, October.
    7. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    8. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    9. Schreiber, Michael, 2008. "A modification of the h-index: The hm-index accounts for multi-authored manuscripts," Journal of Informetrics, Elsevier, vol. 2(3), pages 211-216.
    10. 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.
    11. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    12. Vincent Larivière & Yves Gingras & Éric Archambault, 2006. "Canadian collaboration networks: A comparative analysis of the natural sciences, social sciences and the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 519-533, September.
    13. Wolfgang Glänzel & Bart Thijs, 2004. "Does co-authorship inflate the share of self-citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 395-404, November.
    14. Björn Hellqvist, 2010. "Referencing in the humanities and its implications for citation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(2), pages 310-318, February.
    15. Björn Hellqvist, 2010. "Referencing in the humanities and its implications for citation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 310-318, February.
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