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A Hirsch-type index of co-author partnership ability

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  • András Schubert

    (Hungarian Academy of Sciences)

Abstract

The partnership ability index (φ) combines the number of co-authors and the times each of them acted as co-authors with a given author exactly the same way as Hirsch’s h-index combines the number of publications and their citation rate. The index φ was tested on the sample of the Hevesy medal awardees. It was found that φ is consistent with Glänzel’s model of h-index, and that higher φ values—at least until a certain limit—may be accompanied with higher citation visibility (h-index). Some further possibilities of application both within and outside the area of scientometrics are suggested.

Suggested Citation

  • András Schubert, 2012. "A Hirsch-type index of co-author partnership ability," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 303-308, April.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:1:d:10.1007_s11192-011-0559-7
    DOI: 10.1007/s11192-011-0559-7
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    References listed on IDEAS

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    1. Zhao, Star X. & Rousseau, Ronald & Ye, Fred Y., 2011. "h-Degree as a basic measure in weighted networks," Journal of Informetrics, Elsevier, vol. 5(4), pages 668-677.
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    4. András Schubert & Sándor Soós, 2010. "Mapping of science journals based on h-similarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 589-600, May.
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    8. András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.
    9. András Schubert & András Korn & András Telcs, 2009. "Hirsch-type indices for characterizing networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 375-382, February.
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    Cited by:

    1. Besancenot, Damien & Huynh, Kim & Serranito, Francisco, 2017. "Co-authorship and research productivity in economics: Assessing the assortative matching hypothesis," Economic Modelling, Elsevier, vol. 66(C), pages 61-80.
    2. András Schubert, 2015. "X-centage: a Hirsch-inspired indicator for distributions of percentage-valued variables and its use for measuring heterodisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 307-313, January.
    3. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2013. "A centrality measure for communication ability in weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6107-6117.
    4. Zhao, Star X. & Tan, Alice M. & Yu, Shuang & Xu, Xin, 2018. "Analyzing the research funding in physics: The perspective of production and collaboration at institution level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 662-674.
    5. Dragan Ivanović & Yuh-Shan Ho, 2014. "Independent publications from Serbia in the Science Citation Index Expanded: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 603-622, October.
    6. Fatima Baji & Ismail Mostafavi & Parastoo Parsaei-Mohammadi & Zivar Sabaghinejad, 2021. "Partnership ability and co-authorship network of information literacy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8205-8216, September.
    7. Zhai, Li & Yan, Xiangbin, 2022. "A directed collaboration network for exploring the order of scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    8. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    9. Li Zhai & Xiujuan Li & Xiangbin Yan & Weiguo Fan, 2014. "Evolutionary analysis of collaboration networks in the field of information systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1657-1677, December.
    10. 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.
    11. Zhao, Star X. & Ye, Fred Y., 2012. "Exploring the directed h-degree in directed weighted networks," Journal of Informetrics, Elsevier, vol. 6(4), pages 619-630.
    12. Alireza Abbasi, 2013. "h-Type hybrid centrality measures for weighted networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 633-640, August.
    13. Guillaume Cabanac & Gilles Hubert & Béatrice Milard, 2015. "Academic careers in Computer Science: continuance and transience of lifetime co-authorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 135-150, January.
    14. Guillaume Cabanac, 2013. "Experimenting with the partnership ability φ-index on a million computer scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 1-9, July.
    15. Lucio Bertoli-Barsotti & Tommaso Lando, 2017. "A theoretical model of the relationship between the h-index and other simple citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1415-1448, June.
    16. Rousseau, Ronald & Zhao, Star X., 2015. "A general conceptual framework for characterizing the ego in a network," Journal of Informetrics, Elsevier, vol. 9(1), pages 145-149.
    17. Schubert, András, 2012. "Jazz discometrics – A network approach," Journal of Informetrics, Elsevier, vol. 6(4), pages 480-484.
    18. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2018. "Bi-directional h-index: A new measure of node centrality in weighted and directed networks," Journal of Informetrics, Elsevier, vol. 12(1), pages 299-314.
    19. András Schubert & Gábor Schubert, 2020. "Internationality at university level," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1341-1364, June.
    20. Yan, Xiangbin & Zhai, Li & Fan, Weiguo, 2013. "C-index: A weighted network node centrality measure for collaboration competence," Journal of Informetrics, Elsevier, vol. 7(1), pages 223-239.
    21. Ma, Guoshuai & Yuhua, Qian & Zhang, Yayu & Yan, Hongren & Cheng, Honghong & Hu, Zhiguo, 2022. "The recognition of kernel research team," Journal of Informetrics, Elsevier, vol. 16(4).

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