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Normalizing the g-index

Author

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  • Lucio Bertoli-Barsotti

    (University of Bergamo)

Abstract

Recently, a normalized version of the g-index has been proposed as an impact and concentration measure: the so-called s measure. The main problem with this measure is that—somewhat paradoxically—it may be that s = 1 even in the case in which citations are perfectly evenly spread across articles. We prove that the measure s can and should be improved by a different choice of a normalizing term. This is done by defining the latter as a function of the citation count of the single most cited paper. The new index presented here does not suffer from insensitivity to citation transfers within the g-core.

Suggested Citation

  • Lucio Bertoli-Barsotti, 2016. "Normalizing the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 645-655, February.
  • Handle: RePEc:spr:scient:v:106:y:2016:i:2:d:10.1007_s11192-015-1794-0
    DOI: 10.1007/s11192-015-1794-0
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    References listed on IDEAS

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    1. 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.
    2. Woeginger, Gerhard J., 2008. "An axiomatic analysis of Egghe’s g-index," Journal of Informetrics, Elsevier, vol. 2(4), pages 364-368.
    3. Francesco Bartolucci, 2015. "A comparison between the g-index and the h-index based on concentration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2708-2710, December.
    4. Gangan Prathap, 2014. "The zynergy-index and the formula for the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 426-427, February.
    5. Tommaso Lando & Lucio Bertoli-Barsotti, 2014. "A New Bibliometric Index Based on the Shape of the Citation Distribution," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-15, December.
    6. Gangan Prathap, 2014. "Measures for impact, consistency, and the h- and g-indices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 1076-1078, May.
    7. Michael Schreiber, 2013. "Do we need the g-index?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(11), pages 2396-2399, November.
    8. L. Egghe, 2012. "Remarks on the paper by A. De Visscher, “what does the g-index really measure?”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(10), pages 2118-2121, October.
    9. Sune Lehmann & Andrew D. Jackson & Benny E. Lautrup, 2008. "A quantitative analysis of indicators of scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 369-390, August.
    10. Alex De Visscher, 2011. "What does the g-index really measure?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2290-2293, November.
    11. Leo Egghe, 2014. "A good normalized impact and concentration measure," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(10), pages 2152-2154, October.
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    Cited by:

    1. Antonio-José Moreno-Guerrero & Pedro Jurado de los Santos & María Luisa Pertegal-Felices & Rebeca Soler Costa, 2020. "Bibliometric Study of Scientific Production on the Term Collaborative Learning in Web of Science," Sustainability, MDPI, vol. 12(14), pages 1-19, July.

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