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Are there really two types of h index variants? A validation study by using molecular life sciences data

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  • Lutz Bornmann
  • Rüdiger Mutz
  • Hans-Dieter Daniel
  • Gerlind Wallon
  • Anna Ledin

Abstract

Due to the disadvantages of the h index that have been named since Hirsch's first publication of the index in 2005 (Hirsch, 2005), a number of variants that are intended to compensate for the weaknesses have been proposed. Bornmann et al (2008a, 2009b) tested (1) whether the variants developed are associated with an incremental contribution for evaluation purposes against the h index, (2) whether there is any need at all for the h index and its variants besides standard bibliometric measures and (3) which of the h index and its variants predict peer assessments of scientific performance at best. As all results of Bornmann et al (2008a, 2009b) are based on bibliometric data on post-doctoral research fellowship recipients of the Boehringer Ingelheim Fonds, it will be important to test whether the results can be validated using other data sets. Therefore, we examined in this study 693 applicants to the Long-Term Fellowship programme of the European Molecular Biology Organization whether the results found by Bornmann et al (2008a, 2009b) can be validated using another data set and further h index variants. All in all, with the findings in this study all results to the h index and its variants could be validated that are reported in Bornmann et al (2008a, 2009b). Copyright , Beech Tree Publishing.

Suggested Citation

  • Lutz Bornmann & Rüdiger Mutz & Hans-Dieter Daniel & Gerlind Wallon & Anna Ledin, 2009. "Are there really two types of h index variants? A validation study by using molecular life sciences data," Research Evaluation, Oxford University Press, vol. 18(3), pages 185-190, September.
    • Handle: RePEc:oup:rseval:v:18:y:2009:i:3:p:185-190
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    Citations

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    Cited by:

    1. Vîiu, Gabriel-Alexandru, 2016. "A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation," Journal of Informetrics, Elsevier, vol. 10(2), pages 552-566.
    2. 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.
    3. J. W. Fedderke, 2013. "The objectivity of national research foundation peer review in South Africa assessed against bibliometric indexes," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 177-206, November.
    4. Asma Hammami & Nabil Semmar, 2022. "The simplex simulation as a tool to reveal publication strategies and citation factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 319-350, January.
    5. Schreiber, M. & Malesios, C.C. & Psarakis, S., 2012. "Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 347-358.
    6. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2010. "The h index research output measurement: Two approaches to enhance its accuracy," Journal of Informetrics, Elsevier, vol. 4(3), pages 407-414.
    7. Madiha Ameer & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its qualitative and quantitative variants in Neuroscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 653-673, November.
    8. Qurat-ul Ain & Hira Riaz & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its citation intensity based variants in the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 187-211, April.
    9. 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.
    10. Rok Blagus & Brane L. Leskošek & Janez Stare, 2015. "Comparison of bibliometric measures for assessing relative importance of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1743-1762, December.
    11. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.

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