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COVID research across the social sciences in 2020: a bibliometric approach

Author

Listed:
  • Ryan Thomson

    (Auburn University)

  • Rebecca Mosier

    (University of Oklahoma)

  • Michelle Worosz

    (Auburn University)

Abstract

Research on the COVID-19 pandemic has produced an incredible volume of social science research. To explore the initial areas of COVID-19 scholarship, the following study uses bibliometric co-citation network analysis on data from Clarivate’s Web of Science database to analyze 3327 peer-reviewed studies published during the first year of the pandemic and their 107,396 shared references. Findings indicate nine distinct disciplinary research clusters centered around a single medical core of COVID-19 pandemic research. Topics ranging from tourism collapse, fear scales, financial contagion, health surveillance, shifts in crime rates, quarantine psychology, and collective trauma among others are found to have emerged in this initial phase of research as covid spread across the world. A corresponding infodemic highlights early communication challenges and a broader need to thwart misinformation. As this body of work continues to grow across the social sciences, key intersections, shared themes, and long-term implications of this historic event are brought into view.

Suggested Citation

  • Ryan Thomson & Rebecca Mosier & Michelle Worosz, 2023. "COVID research across the social sciences in 2020: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3377-3399, June.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:6:d:10.1007_s11192-023-04714-5
    DOI: 10.1007/s11192-023-04714-5
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    Cited by:

    1. Lutz Bornmann & Klaus Wohlrabe, 2024. "Recent Temporal Dynamics in Economics: Empirical Analyses of Annual Publications in Economic Fields," CESifo Working Paper Series 10881, CESifo.

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