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Using the h‐index to rank influential information scientistss

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  • Blaise Cronin
  • Lokman Meho

Abstract

The authors apply a new bibliometric measure, the h‐index (Hirsch, 2005), to the literature of information science. Faculty rankings based on raw citation counts are compared with those based on h‐counts. There is a strong positive correlation between the two sets of rankings. It is shown how the h‐index can be used to express the broad impact of a scholar's research output over time in more nuanced fashion than straight citation counts.

Suggested Citation

  • Blaise Cronin & Lokman Meho, 2006. "Using the h‐index to rank influential information scientistss," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1275-1278, July.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:9:p:1275-1278
    DOI: 10.1002/asi.20354
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    Citations

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    Cited by:

    1. 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.
    2. M. Ryan Haley, 2018. "A nonparametric quantity-of-quality approach to assessing financial asset return performance," Annals of Finance, Springer, vol. 14(3), pages 343-351, August.
    3. Lee, So-Eun & Kim, Seongcheol & Lim, Chulmin, 2019. "Special issues have got something? An overview of research trends in Telecommunications Policy special issues," 30th European Regional ITS Conference, Helsinki 2019 205192, International Telecommunications Society (ITS).
    4. Brady Lund, 2019. "Examination of correlates of H-index as a measure of research productivity for library and information science faculty in the United States and Canada," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 897-915, August.
    5. Ruijie Wang & Yuhao Zhou & An Zeng, 2023. "Evaluating scientists by citation and disruption of their representative works," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1689-1710, March.
    6. Lu, Wei & Ren, Yan & Huang, Yong & Bu, Yi & Zhang, Yuehan, 2021. "Scientific collaboration and career stages: An ego-centric perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    7. Linhong Xu & Kun Ding & Yuan Lin & Chunbo Zhang, 2023. "Does citation polarity help evaluate the quality of academic papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4065-4087, July.
    8. Linhong Xu & Kun Ding & Yuan Lin, 2022. "Do negative citations reduce the impact of cited papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 1161-1186, February.
    9. Hengyu Gu & Hanchen Yu & Mehak Sachdeva & Ye Liu, 2021. "Analyzing the distribution of researchers in China: An approach using multiscale geographically weighted regression," Growth and Change, Wiley Blackwell, vol. 52(1), pages 443-459, March.
    10. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    11. Lee, So-Eun & Kim, Seongcheol & Lim, Chulmin, 2019. "Do special issues offer something special? An overview of research trends in Telecommunications Policy special issues," Telecommunications Policy, Elsevier, vol. 43(10).
    12. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    13. Christin Katharina Kreutz & Premtim Sahitaj & Ralf Schenkel, 2020. "Evaluating semantometrics from computer science publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2915-2954, December.
    14. Chihli Hung & Wei-Chao Lin, 2022. "VisualRPI: Visualizing Research Productivity and Impact," Sustainability, MDPI, vol. 14(13), pages 1-11, June.
    15. Claus-Christian Carbon, 2011. "The Carbon_h-Factor: Predicting Individuals' Research Impact at Early Stages of Their Career," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-7, December.
    16. Arsev Umur Aydinoglu, 2013. "Toward a New Understanding of Virtual Research Collaborations," SAGE Open, , vol. 3(4), pages 21582440135, October.

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