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Categorizing h-index variants

Author

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  • M Schreiber
  • C C Malesios
  • S Psarakis

Abstract

Utilizing the Hirsch index h and some of its variants for an exploratory factor analysis we discuss whether one of the most important Hirsch-type indices, namely the g-index, comprises information about not only the size of the productive core but also the impact of the papers in the core. We also study the effect of logarithmic and square-root transformation of the data utilized in the factor analysis. To demonstrate our approach we use a real data example analysing the citation records of 26 physicists compiled from the Web of Science. Copyright , Beech Tree Publishing.

Suggested Citation

  • M Schreiber & C C Malesios & S Psarakis, 2011. "Categorizing h-index variants," Research Evaluation, Oxford University Press, vol. 20(5), pages 397-409, December.
  • Handle: RePEc:oup:rseval:v:20:y:2011:i:5:p:397-409
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    Citations

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    Cited by:

    1. Brandão, Luana Carneiro & Soares de Mello, João Carlos Correia Baptista, 2019. "A multi-criteria approach to the h-index," European Journal of Operational Research, Elsevier, vol. 276(1), pages 357-363.
    2. Kang, Kiyeon & Sohn, So Young, 2016. "Evaluating the patenting activities of pharmaceutical research organizations based on new technology indices," Journal of Informetrics, Elsevier, vol. 10(1), pages 74-81.
    3. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.
    4. Filippo Radicchi & Claudio Castellano, 2013. "Analysis of bibliometric indicators for individual scholars in a large data set," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 627-637, December.
    5. Woeginger, Gerhard J., 2014. "Investigations on the step-based research indices of Chambers and Miller," Journal of Informetrics, Elsevier, vol. 8(3), pages 659-666.
    6. 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.
    7. Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.

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