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A modified nature publishing index via shannon entropy

  • Yelin Fu
  • , Ming Wang
  • , Kin Keung Lai*
  • *Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    35 Downloads (CityUHK Scholars)

    Abstract

    This paper develops a Shannon Entropy approach based only on the number of papers published to propose scientific institution rankings. A simple and efficient approach with weight restrictions is employed to derive the score under specific preferences. The importance degrees for each preference are determined using the concept of Shannon Entropy. Finally, a weighted linear combination of different lexicographic preferences with subjective perceptions between the corrected count and the number of articles criteria is proposed. An application to Asia-Pacific ranking of the Nature Publishing Index is to illustrate the effectiveness of our proposed method.
    Original languageEnglish
    Article number640924
    JournalDiscrete Dynamics in Nature and Society
    Volume2015
    DOIs
    Publication statusPublished - 2015

    Publisher's Copyright Statement

    • This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/

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