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Why h-Index

  • Vladik KreinovichEmail author
  • Olga Kosheleva
  • Hoang Phuong Nguyen
Chapter
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Part of the Studies in Computational Intelligence book series (SCI, volume 899)

Abstract

At present, one of the main ways to gauge the quality of a researcher is to use his or her h-index, which is defined as the largest integer n such that the researcher has at least n publications each of which has at least n citations. The fact that this quantity is widely used indicates that h-index indeed reasonably adequately describes the researcher’s quality. So, this notion must capture some intuitive idea. However, the above definition is not intuitive at all, it sound like a somewhat convoluted mathematical exercise. So why is h-index so efficient? In this paper, we use known mathematical facts about h-index—in particular, the results of its fuzzy-related analysis—to come up with an intuitive explanation for the h-index’s efficiency.

Notes

Acknowledgements

This work was supported in part by the National Science Foundation via grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science) and HRD-1242122 (Cyber-ShARE Center of Excellence).

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Vladik Kreinovich
    • 1
    Email author
  • Olga Kosheleva
    • 1
  • Hoang Phuong Nguyen
    • 2
  1. 1.University of Texas at El PasoEl PasoUSA
  2. 2.Division Informatics, Math-Informatics FacultyThang Long UniversityHoang Mai DistrictVietnam

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