Literature DB >> 34181681

The h-index is no longer an effective correlate of scientific reputation.

Vladlen Koltun1, David Hafner2.   

Abstract

The impact of individual scientists is commonly quantified using citation-based measures. The most common such measure is the h-index. A scientist's h-index affects hiring, promotion, and funding decisions, and thus shapes the progress of science. Here we report a large-scale study of scientometric measures, analyzing millions of articles and hundreds of millions of citations across four scientific fields and two data platforms. We find that the correlation of the h-index with awards that indicate recognition by the scientific community has substantially declined. These trends are associated with changing authorship patterns. We show that these declines can be mitigated by fractional allocation of citations among authors, which has been discussed in the literature but not implemented at scale. We find that a fractional analogue of the h-index outperforms other measures as a correlate and predictor of scientific awards. Our results suggest that the use of the h-index in ranking scientists should be reconsidered, and that fractional allocation measures such as h-frac provide more robust alternatives.

Entities:  

Year:  2021        PMID: 34181681     DOI: 10.1371/journal.pone.0253397

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  7 in total

1.  In Regard to Huang et al.

Authors:  Kunal K Sindhu; Brianna M Jones; Anthony D Nehlsen; Eric J Lehrer; Andrew W Smith; Jared P Rowley
Journal:  Adv Radiat Oncol       Date:  2022-07-15

2.  Metrics to evaluate implementation scientists in the USA: what matters most?

Authors:  Brenna B Maddox; Mary L Phan; Y Vivian Byeon; Courtney Benjamin Wolk; Rebecca E Stewart; Byron J Powell; Kelsie H Okamura; Melanie Pellecchia; Emily M Becker-Haimes; David A Asch; Rinad S Beidas
Journal:  Implement Sci Commun       Date:  2022-07-16

3.  Research Hotspots and Trends of Peripheral Nerve Injuries Based on Web of Science From 2017 to 2021: A Bibliometric Analysis.

Authors:  Shiwen Zhang; Meiling Huang; Jincao Zhi; Shanhong Wu; Yan Wang; Fei Pei
Journal:  Front Neurol       Date:  2022-05-20       Impact factor: 4.086

4.  Evaluation of Issues Affecting Time Between Study Completion, Manuscript Submission, Acceptance, and Publication in Medical Journals.

Authors:  Paresh G Koli; Ankita Kulkarni; Yashashri C Shetty
Journal:  Cureus       Date:  2022-03-15

5.  Metrics and methods in the evaluation of prestige bias in peer review: A case study in computer systems conferences.

Authors:  Eitan Frachtenberg; Kelly S McConville
Journal:  PLoS One       Date:  2022-02-25       Impact factor: 3.240

6.  The Author-Level Metrics Study: An Analysis of the Traditional and Alternative Metrics of Scholarly Impact for Neurosurgical Authors.

Authors:  Sukumar Kalvapudi; Subeikshanan Venkatesan; Rishab Belavadi; Varun Anand; Venkatesh S Madhugiri
Journal:  Cureus       Date:  2022-07-21

7.  Authors who contributed most to the fields of hemodialysis and peritoneal dialysis since 2011 using the hT-index: Bibliometric analysis.

Authors:  Hsien-Yi Wang; Tsair-Wei Chien; Wei-Chih Kan; Chen-Yu Wang; Willy Chou
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

  7 in total

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