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A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

Author

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  • Aleksander Aristovnik

    (Faculty of Public Administration, University of Ljubljana, 1000 Ljubljana, Slovenia)

  • Dejan Ravšelj

    (Faculty of Public Administration, University of Ljubljana, 1000 Ljubljana, Slovenia)

  • Lan Umek

    (Faculty of Public Administration, University of Ljubljana, 1000 Ljubljana, Slovenia)

Abstract

The lack of knowledge about the COVID-19 pandemic has encouraged extensive research in the academic sphere, reflected in the exponentially growing scientific literature. While the state of COVID-19 research reveals it is currently in an early stage of developing knowledge, a comprehensive and in-depth overview is still missing. Accordingly, the paper’s main aim is to provide an extensive bibliometric analysis of COVID-19 research across the science and social science research landscape, using innovative bibliometric approaches (e.g., Venn diagram, Biblioshiny descriptive statistics, VOSviewer co-occurrence network analysis, Jaccard distance cluster analysis, text mining based on binary logistic regression). The bibliometric analysis considers the Scopus database, including all relevant information on COVID-19 related publications ( n = 16,866) available in the first half of 2020. The empirical results indicate the domination of health sciences in terms of number of relevant publications and total citations, while physical sciences and social sciences and humanities lag behind significantly. Nevertheless, there is an evidence of COVID-19 research collaboration within and between different subject area classifications with a gradual increase in importance of non-health scientific disciplines. The findings emphasize the great need for a comprehensive and in-depth approach that considers various scientific disciplines in COVID-19 research so as to benefit not only the scientific community but evidence-based policymaking as part of efforts to properly respond to the COVID-19 pandemic.

Suggested Citation

  • Aleksander Aristovnik & Dejan Ravšelj & Lan Umek, 2020. "A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape," Sustainability, MDPI, vol. 12(21), pages 1-30, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9132-:d:439373
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    1. Verma, Surabhi & Gustafsson, Anders, 2020. "Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach," Journal of Business Research, Elsevier, vol. 118(C), pages 253-261.
    2. Zhan Ye & Ahmad P Tafti & Karen Y He & Kai Wang & Max M He, 2016. "SparkText: Biomedical Text Mining on Big Data Framework," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-15, September.
    3. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    4. Wang, Chao & Lim, Ming K & Zhao, Longfeng & Tseng, Ming-Lang & Chien, Chen-Fu & Lev, Benjamin, 2020. "The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview," Omega, Elsevier, vol. 93(C).
    5. Hossain, Md Mahbub & McKyer, E. Lisako J. & Ma, Ping, 2020. "Applications of artificial intelligence technologies on mental health research during COVID-19," SocArXiv w6c9b, Center for Open Science.
    6. J. Homolak & I. Kodvanj & D. Virag, 2020. "Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2687-2701, September.
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    Cited by:

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    7. Raghu Raman & Ricardo Vinuesa & Prema Nedungadi, 2021. "Bibliometric Analysis of SARS, MERS, and COVID-19 Studies from India and Connection to Sustainable Development Goals," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
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