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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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    Cited by:

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    5. Deise Deolindo Silva & Maria Cláudia Cabrini Grácio, 2021. "Dispersion measures for h-index: a study of the Brazilian researchers in the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1983-2011, March.
    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.
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    8. Muhammad Salman & Mohammad Masroor Ahmed & Muhammad Tanvir Afzal, 2021. "Assessment of author ranking indices based on multi-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4153-4172, May.
    9. Faiza Qayyum & Muhammad Tanvir Afzal, 2019. "Identification of important citations by exploiting research articles’ metadata and cue-terms from content," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 21-43, January.
    10. Rizwan Ghani & Faiza Qayyum & Muhammad Tanvir Afzal & Hermann Maurer, 2019. "Comprehensive evaluation of h-index and its extensions in the domain of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 809-822, March.
    11. Abdulrahman A. Alshdadi & Muhammad Usman & Madini O. Alassafi & Muhammad Tanvir Afzal & Rayed AlGhamdi, 2023. "Formulation of rules for the scientific community using deep learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1825-1852, March.
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