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Quantifying scientific collaboration impact by exploiting collaboration-citation network

Author

Listed:
  • Xiaomei Bai

    (Anshan Normal University)

  • Fuli Zhang

    (Anshan Normal University)

  • Jinzhou Li

    (Anshan Normal University)

  • Zhong Xu

    (Anshan Public Resources Trading Center)

  • Zeeshan Patoli

    (University of South Australia)

  • Ivan Lee

    (University of South Australia)

Abstract

Despite the growing interest in exploring the collaboration patterns and the structure of collaboration networks, the impact of collaboration associated with time-varying scholarly networks is hardly known. This paper investigates collaboration and productivity in a science career and quantifies the impact of collaboration in the collaboration-citation network. Moreover, this paper also investigates collaboration patterns and examines the typical duration of research collaborations. A SCIRank model is proposed to quantify the impact of scientific collaboration, which not only reveals the impact of co-author pairs but also identifies scholarly papers with the outstanding impact that leads to Nobel Prize awards.

Suggested Citation

  • Xiaomei Bai & Fuli Zhang & Jinzhou Li & Zhong Xu & Zeeshan Patoli & Ivan Lee, 2021. "Quantifying scientific collaboration impact by exploiting collaboration-citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7993-8008, September.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:9:d:10.1007_s11192-021-04078-8
    DOI: 10.1007/s11192-021-04078-8
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    References listed on IDEAS

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    4. Guillermo Armando Ronda-Pupo, 2023. "Mexico: a bridge in Cuba–U.S. scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2301-2315, April.

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