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A probe into dynamic measures for h-core and h-tail

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  • Chen, Dar-zen
  • Huang, Mu-hsuan
  • Ye, Fred Y.

Abstract

Using the concepts of h-core and h-tail, shape descriptors and shape centroids, k-index and k′-index, dynamic measures are probed, with practical data in the fields of Physics and sociology. It is revealed that there are obvious differences between natural sciences (Physics, particles & fields) and social sciences (sociology) when c-descriptor, h-core centroid and k-index are applied as dynamic measures, while few differences exist when using t-descriptor, h-tail centroid and k′-index, following a time span from 1 to 10 years.

Suggested Citation

  • Chen, Dar-zen & Huang, Mu-hsuan & Ye, Fred Y., 2013. "A probe into dynamic measures for h-core and h-tail," Journal of Informetrics, Elsevier, vol. 7(1), pages 129-137.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:1:p:129-137
    DOI: 10.1016/j.joi.2012.10.002
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    1. Eva Lillquist & Sheldon Green, 2010. "The discipline dependence of citation statistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 749-762, September.
    2. Chung‐Huei Kuan & Mu‐Hsuan Huang & Dar‐Zen Chen, 2012. "A two‐dimensional approach to performance evaluation for a large number of research institutions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(4), pages 817-828, April.
    3. Juan E. Iglesias & Carlos Pecharromán, 2007. "Scaling the h-index for different scientific ISI fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 303-320, December.
    4. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    5. Chung-Huei Kuan & Mu-Hsuan Huang & Dar-Zen Chen, 2012. "A two-dimensional approach to performance evaluation for a large number of research institutions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(4), pages 817-828, April.
    6. Péter Vinkler, 2011. "Application of the distribution of citations among publications in scientometric evaluations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1963-1978, October.
    7. Loet Leydesdorff & Lutz Bornmann, 2011. "Integrated impact indicators compared with impact factors: An alternative research design with policy implications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2133-2146, November.
    8. Fred Y. Ye, 2011. "A unification of three models for the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 205-207, January.
    9. Péter Vinkler, 2011. "Application of the distribution of citations among publications in scientometric evaluations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1963-1978, October.
    10. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    11. 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.
    12. 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.
    13. Ludo Waltman & Nees Jan van Eck, 2012. "The inconsistency of the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 406-415, February.
    14. Wolfgang Glänzel, 2006. "On the h-index - A mathematical approach to a new measure of publication activity and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(2), pages 315-321, May.
    15. 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.
    16. Fred Y. Ye, 2009. "An investigation on mathematical models of the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 493-498, November.
    17. Nair, Gopalan M. & Turlach, Berwin A., 2012. "The stochastic h-index," Journal of Informetrics, Elsevier, vol. 6(1), pages 80-87.
    18. Liming Liang, 2006. "h-index sequence and h-index matrix: Constructions and applications," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 153-159, October.
    19. 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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