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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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    9. 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.
    10. 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.
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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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