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The diffusion of H-related literature

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  • Zhang, Lin
  • Thijs, Bart
  • Glänzel, Wolfgang

Abstract

In the present study we attempt to trace the diffusion of h-related literature over a five-year period beginning with the introduction of the h-index. The study is based on a reliable and representative publication set of 755 papers retrieved from the Web of Science database using keywords and citation links. In the course of the study we analyse several aspects of the emergence of this topic, the differentiation of methodological research, its application within and outside the field and the dissemination process of information among different disciplines in the sciences and social sciences. Finally, a cluster analysis of h-related literature is conducted. The hybrid clustering algorithm results in four clusters, which depict two different aspects each of basic and applied research related to the h-index and its derivatives.

Suggested Citation

  • Zhang, Lin & Thijs, Bart & Glänzel, Wolfgang, 2011. "The diffusion of H-related literature," Journal of Informetrics, Elsevier, vol. 5(4), pages 583-593.
    • Handle: RePEc:eee:infome:v:5:y:2011:i:4:p:583-593
    DOI: 10.1016/j.joi.2011.05.004
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    3. Chun-Ting Zhang, 2013. "The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
    4. Tânia F. G. G. Cova & Alberto A. C. C. Pais & Sebastião J. Formosinho, 2013. "Iberian universities: a characterisation from ESI rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1239-1251, March.
    5. Liu, Yu & Yang, Yongliang, 2014. "Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance," Journal of Informetrics, Elsevier, vol. 8(3), pages 478-485.
    6. García-Pérez, Miguel A., 2012. "An extension of the h index that covers the tail and the top of the citation curve and allows ranking researchers with similar h," Journal of Informetrics, Elsevier, vol. 6(4), pages 689-699.
    7. van Eck, Nees Jan & Waltman, Ludo, 2014. "CitNetExplorer: A new software tool for analyzing and visualizing citation networks," Journal of Informetrics, Elsevier, vol. 8(4), pages 802-823.
    8. Rousseau, Ronald & García-Zorita, Carlos & Sanz-Casado, Elias, 2013. "The h-bubble," Journal of Informetrics, Elsevier, vol. 7(2), pages 294-300.
    9. Mingyang Wang & Jiaqi Zhang & Shijia Jiao & Xiangrong Zhang & Na Zhu & Guangsheng Chen, 2020. "Important citation identification by exploiting the syntactic and contextual information of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2109-2129, December.
    10. Mingyang Wang & Shijia Jiao & Kah-Hin Chai & Guangsheng Chen, 2019. "Building journal’s long-term impact: using indicators detected from the sustained active articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 261-283, October.
    11. Wang, Shiyun & Mao, Jin & Lu, Kun & Cao, Yujie & Li, Gang, 2021. "Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth," Journal of Informetrics, Elsevier, vol. 15(4).
    12. Jiancheng Guan & Wenjia Zhu, 2014. "How knowledge diffuses across countries: a case study in the field of management," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2129-2144, March.
    13. Bornmann, Lutz & Marx, Werner, 2012. "HistCite analysis of papers constituting the h index research front," Journal of Informetrics, Elsevier, vol. 6(2), pages 285-288.

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