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Study on themes and authors’ influence of open access in China

Author

Listed:
  • Rongying Zhao

    (Research Center for Science Evaluation of Wuhan University
    Center for Studies of Information Resources of Wuhan University
    Wuhan University)

  • Shengnan Wu

    (Research Center for Science Evaluation of Wuhan University
    Center for Studies of Information Resources of Wuhan University
    Wuhan University)

Abstract

Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon’s clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors’ influence on these themes. Based on this, some conclusions were got in the end.

Suggested Citation

  • Rongying Zhao & Shengnan Wu, 2014. "Study on themes and authors’ influence of open access in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1165-1177, November.
  • Handle: RePEc:spr:scient:v:101:y:2014:i:2:d:10.1007_s11192-014-1415-3
    DOI: 10.1007/s11192-014-1415-3
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    Cited by:

    1. Rosângela Schwarz Rodrigues & Vitor Taga & Mariana Faustino dos Passos, 2016. "Research Articles about Open Access Indexed by Scopus: A Content Analysis," Publications, MDPI, vol. 4(4), pages 1-14, October.
    2. Jane Cho, 2020. "Intellectual structure evolution of open access research observed through correlation index of keyword centrality," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2617-2635, December.

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