IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v106y2016i2d10.1007_s11192-015-1794-0.html
   My bibliography  Save this article

Normalizing the g-index

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1794-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-015-1794-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van Eck, Nees Jan & Waltman, Ludo, 2008. "Generalizing the h- and g-indices," Journal of Informetrics, Elsevier, vol. 2(4), pages 263-271.
    2. 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.
    3. da Silva, Roberto & Kalil, Fahad & de Oliveira, José Palazzo Moreira & Martinez, Alexandre Souto, 2012. "Universality in bibliometrics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2119-2128.
    4. John H. Huston & Roger W. Spencer, 2018. "Using Network Centrality to Inform Our View of Nobel Economists," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(4), pages 616-628, September.
    5. Bertoli-Barsotti, Lucio & Lando, Tommaso, 2015. "On a formula for the h-index," Journal of Informetrics, Elsevier, vol. 9(4), pages 762-776.
    6. Guillermo Armando Ronda-Pupo & Carlos Díaz-Contreras & Guillermo Ronda-Velázquez & Jorge Carlos Ronda-Pupo, 2015. "The role of academic collaboration in the impact of Latin-American research on management," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1435-1454, February.
    7. 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.
    8. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    9. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    10. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    11. Marek Gagolewski & Barbara Żogała-Siudem & Grzegorz Siudem & Anna Cena, 2022. "Fairness in the three-dimensional model for citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6055-6059, October.
    12. David L. Anderson & John Tressler, 2013. "The Relevance of the “h-” and “g-” Index to Economics in the Context of A Nation-Wide Research Evaluation Scheme: The New Zealand Case," Economic Papers, The Economic Society of Australia, vol. 32(1), pages 81-94, March.
    13. 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.
    14. Schreiber, Michael, 2013. "A case study of the arbitrariness of the h-index and the highly-cited-publications indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 379-387.
    15. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    16. Lathabai, Hiran H., 2020. "ψ-index: A new overall productivity index for actors of science and technology," Journal of Informetrics, Elsevier, vol. 14(4).
    17. Yaxue Ma & Zhichao Ba & Yuxiang Zhao & Jin Mao & Gang Li, 2021. "Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7051-7085, August.
    18. Gangan Prathap, 2019. "The Pinski–Narin influence weight and the Ramanujacharyulu power-weakness ratio indicators revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1173-1185, May.
    19. 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.
    20. Mukherjee, Conan & Alam, Aftab, 2016. "On Evaluating Author's Performance by Publications: An Axiomatic Study," Working Papers 2016:14, Lund University, Department of Economics, revised 12 May 2017.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:106:y:2016:i:2:d:10.1007_s11192-015-1794-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.