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Ratios of h-cores, h-tails and uncited sources in sets of scientific papers and technical patents

Author

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  • Liu, Joan Q.
  • Rousseau, Ronald
  • Wang, Mona S.
  • Ye, Fred Y.

Abstract

Five ratios RH, RT, SH, ST and SZ derived from the three-part division of a set of sources in h-core, h-tail and uncited sources are defined. Dynamic changes in the three independent ratios RH, SH and SZ are studied for six selected topics. Data about these topics are obtained from the Web of Science for scientific papers and Derwent Innovations Index for technical patents. It is observed that all RH- and SH-values decrease when the time span widens, while SZ stays the same or increases; and that all RH- and SH-values for papers are larger than the corresponding values for patents. The shifted Lotka distribution is used in a theoretical interpretation of these empirical phenomena.

Suggested Citation

  • Liu, Joan Q. & Rousseau, Ronald & Wang, Mona S. & Ye, Fred Y., 2013. "Ratios of h-cores, h-tails and uncited sources in sets of scientific papers and technical patents," Journal of Informetrics, Elsevier, vol. 7(1), pages 190-197.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:1:p:190-197
    DOI: 10.1016/j.joi.2012.11.002
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    References listed on IDEAS

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    1. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2011. "Positioning research and innovation performance using shape centroids of h-core and h-tail," Journal of Informetrics, Elsevier, vol. 5(4), pages 515-528.
    2. Leo Egghe & Ronald Rousseau, 2012. "The Hirsch index of a shifted Lotka function and its relation with the impact factor," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(5), pages 1048-1053, May.
    3. Fred Y. Ye, 2011. "A theoretical approach to the unification of informetric models by wave‐heat equations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1208-1211, June.
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    5. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2011. "Ranking patent assignee performance by h-index and shape descriptors," Journal of Informetrics, Elsevier, vol. 5(2), pages 303-312.
    6. Liu, Yuxian & Rousseau, Ronald, 2008. "Definitions of time series in citation analysis with special attention to the h-index," Journal of Informetrics, Elsevier, vol. 2(3), pages 202-210.
    7. Leo Egghe & Ronald Rousseau, 2006. "An informetric model for the Hirsch-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 121-129, October.
    8. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    9. Leo Egghe & Ronald Rousseau, 2012. "The Hirsch index of a shifted Lotka function and its relation with the impact factor," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(5), pages 1048-1053, May.
    10. Leo Egghe & Ronald Rousseau, 2012. "Theory and practice of the shifted Lotka function," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 295-301, April.
    11. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
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    Cited by:

    1. Wei, Shelia X. & Tong, Tong & Rousseau, Ronald & Wang, Wanru & Ye, Fred Y., 2022. "Relations among the h-, g-, ψ-, and p-index and offset-ability," Journal of Informetrics, Elsevier, vol. 16(4).
    2. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2015. "Ranking and identifying influential scientists versus mass producers by the Perfectionism Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 1-31, April.
    3. Kang, Kiyeon & Sohn, So Young, 2016. "Evaluating the patenting activities of pharmaceutical research organizations based on new technology indices," Journal of Informetrics, Elsevier, vol. 10(1), pages 74-81.

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