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A two‐dimensional approach to performance evaluation for a large number of research institutions

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  • Chung‐Huei Kuan
  • Mu‐Hsuan Huang
  • Dar‐Zen Chen

Abstract

We characterize the research performance of a large number of institutions in a two‐dimensional coordinate system based on the shapes of their h‐cores so that their relative performance can be conveniently observed and compared. The 2D distribution of these institutions is then utilized (1) to categorize the institutions into a number of qualitative groups revealing the nature of their performance, and (2) to determine the position of a specific institution among the set of institutions. The method is compared with some major h‐type indices and tested with empirical data using clinical medicine as an illustrative case. The method is extensible to the research performance evaluation at other aggregation levels such as researchers, journals, departments, and nations.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jamist:v:63:y:2012:i:4:p:817-828
    DOI: 10.1002/asi.21701
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    Cited by:

    1. 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.
    2. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fulvio Viel, 2013. "The suitability of h and g indexes for measuring the research performance of institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 555-570, December.

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