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Quantifying scientific collaboration impact by exploiting collaboration-citation network

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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.

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Acknowledgements

This work was supported in part by Liaoning Provincial Key R&D Guidance Project (2018104021), and in part by Liaoning Province Innovative Talent Project (LR2019001).

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Authors and Affiliations

  1. Computing Center, Anshan Normal University, Anshan, 114007, China

    Xiaomei Bai

  2. Information Center, Anshan Normal University, Anshan, 114007, China

    Fuli Zhang

  3. Academic Affairs Office, Anshan Normal University, Anshan, 114007, China

    Jinzhou Li

  4. Information Technology Department, Anshan Public Resources Trading Center, Anshan, China

    Zhong Xu

  5. Information Strategy & Technology Services, University of South Australia, Adelaide, Australia

    Zeeshan Patoli

  6. UniSA STEM, University of South Australia, Adelaide, Australia

    Ivan Lee

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  1. Xiaomei Bai
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  2. Fuli Zhang
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  4. Zhong Xu
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  5. Zeeshan Patoli
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  6. Ivan Lee
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Correspondence to Xiaomei Bai.

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Bai, X., Zhang, F., Li, J. et al. Quantifying scientific collaboration impact by exploiting collaboration-citation network. Scientometrics 126, 7993–8008 (2021). https://doi.org/10.1007/s11192-021-04078-8

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