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Identification of conversion factor for completing-h index for the field of mathematics

Author

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  • Samreen Ayaz

    (Capital University of Science & Technology)

  • Muhammad Tanvir Afzal

    (Capital University of Science & Technology)

Abstract

In 2005 Hirsch introduced h-index to evaluate the research output of researchers. This had initiated a debate in the scientific community. Many researchers have evaluated the feasibility of h-index in different scientific domains. Some remained successful while others criticized the effectiveness of h-index in the domains they evaluated. After a decade of this proposal, Dienes critically evaluated the original h-index and have claimed that h index lacks something intrinsic in its definition. Subsequently Dienes introduced a conversion factor based on entire community of one domain to complete the definition of h index. Dienes has not evaluated the conversion factor on actual data; rather they have just proposed mathematical formulations. The aim of our research is to calculate that factor for the field of Mathematics and then after computing completing-h value for all the authors in this community, we have compared our results with h-index (original) and g-index values considering award winners as benchmark. We found out that complete-h contributes positively and shows comparatively better results than h-index and g-index. In top 1000 authors ranked according to these indices 95 award winners were found in complete-h, 76 were found in h-index and 64 were found when authors were ranked according to g-index.

Suggested Citation

  • Samreen Ayaz & Muhammad Tanvir Afzal, 2016. "Identification of conversion factor for completing-h index for the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1511-1524, December.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:3:d:10.1007_s11192-016-2122-z
    DOI: 10.1007/s11192-016-2122-z
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    References listed on IDEAS

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    1. 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.
    2. Dunaiski, Marcel & Visser, Willem & Geldenhuys, Jaco, 2016. "Evaluating paper and author ranking algorithms using impact and contribution awards," Journal of Informetrics, Elsevier, vol. 10(2), pages 392-407.
    3. Joost C. F. Winter & Amir A. Zadpoor & Dimitra Dodou, 2014. "The expansion of Google Scholar versus Web of Science: a longitudinal study," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1547-1565, February.
    4. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    5. Anne-Wil Harzing, 2013. "A preliminary test of Google Scholar as a source for citation data: a longitudinal study of Nobel prize winners," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1057-1075, March.
    6. 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.
    7. Serge Galam, 2011. "Tailor based allocations for multiple authorship: a fractional gh-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 365-379, October.
    8. Michael Schreiber, 2015. "A variant of the h-index to measure recent performance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2373-2380, November.
    9. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
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