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Measuring researchers’ potential scholarly impact with structural variations: Four types of researchers in information science (1979–2018)

PloS one, 2020-06, Vol.15 (6), p.e0234347-e0234347 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0234347 ;PMID: 32569295

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  • Title:
    Measuring researchers’ potential scholarly impact with structural variations: Four types of researchers in information science (1979–2018)
  • Author: Hou, Jianhua ; Yang, Xiucai ; Chen, Chaomei
  • Glanzel, Wolfgang
  • Subjects: Bibliometrics ; Citation analysis ; Citations ; Cocitation ; Collaboration ; Computer and Information Sciences ; Cooperation ; Evaluation ; Information science ; Journal impact factor ; Productivity ; Research and Analysis Methods ; Research scientists ; Researchers ; Scientometrics ; Social science research ; Social Sciences ; Studies ; Variation
  • Is Part Of: PloS one, 2020-06, Vol.15 (6), p.e0234347-e0234347
  • Description: We propose a method to measure the potential scholarly impact of researchers based on network structural variations they introduced to the underlying author co-citation network of their field. We applied the method to the information science field based on 91,978 papers published between 1979 and 2018 from the Web of Science. We divided the entire period into eight consecutive intervals and measured structural variation change rates ([DELTA]M) of individual authors in corresponding author co-citation networks. Four types of researchers are identified in terms of temporal dynamics of their potential scholarly impact-1) Increasing, 2) Decreasing, 3) Sustained, and 4) Transient. The study contributes to the understanding of how researchers' scholarly impact might evolve in a broad context of the corresponding research community. Specifically, this study illustrated a crucial role played by structural variation metrics in measuring and explaining the potential scholarly impact of a researcher. This method based on the structural variation analysis offers a theoretical framework and a practical platform to analyze the potential scholarly impact of researchers and their specific contributions.
  • Publisher: San Francisco: Public Library of Science
  • Language: English
  • Identifier: ISSN: 1932-6203
    EISSN: 1932-6203
    DOI: 10.1371/journal.pone.0234347
    PMID: 32569295
  • Source: GFMER Free Medical Journals
    PubMed Central
    Public Library of Science (PLoS)
    ProQuest Central
    DOAJ Directory of Open Access Journals
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