Preserved in Portico This version is not peer-reviewed
A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape
: Received: 23 June 2020 / Approved: 24 June 2020 / Online: 24 June 2020 (13:48:32 CEST)
: Received: 29 June 2020 / Approved: 30 June 2020 / Online: 30 June 2020 (10:40:09 CEST)
: Received: 17 July 2020 / Approved: 20 July 2020 / Online: 20 July 2020 (10:33:46 CEST)
: Received: 10 September 2020 / Approved: 12 September 2020 / Online: 12 September 2020 (09:49:40 CEST)
A peer-reviewed article of this Preprint also exists.
Journal reference: Sustainability 2020, 12, 9132
The COVID-19 pandemic caused by the novel coronavirus emerged in Wuhan City, Hubei province of China at the end of 2019, has radically transformed the lives of people around the world. Due to its fast spreading, it is currently considered as a worldwide health, social and economic concern. The lack of knowledge on this area has encouraged academic sphere for extensive research, which is reflected in exponentially growing scientific literature in this area. However, current state of COVID-19 research reveals only early development of knowledge, while a comprehensive and in-depth overview remains neglected. Accordingly, the main aim of this paper is to fill the aforementioned gap in the literature and provide an extensive bibliometric analysis of COVID-19 research across science and social science research landscape. The bibliometric analysis is based on the Scopus database including all relevant and latest information on COVID-19 related publications (n=16,866) in the first half of 2020. The findings emphasize an importance of a comprehensive and in-depth approach considering different scientific disciplines in COVID-19 research. The understanding of the evolution of emerging scientific knowledge on COVID-19 is beneficial not only for scientific community but also for evidence-based policymaking in order to prevent and address the COVID-19 pandemic.
COVID-19; coronavirus; pandemic; science; social science; bibliometric analysis
SOCIAL SCIENCES, Other
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