A bibliometric analysis of COVID-19 across science and social science research landscape

Autor: Dejan Ravšelj, Aleksander Aristovnik, Lan Umek
Jazyk: angličtina
Rok vydání: 2022
Předmět:
bibliometrična analiza
Bibliometric analysis
Jaccard index
pandemija
Coronavirus disease 2019 (COVID-19)
Geography
Planning and Development
lcsh:TJ807-830
Scopus
lcsh:Renewable energy sources
coronavirus
Jaccard distance
Scientific literature
text mining
Management
Monitoring
Policy and Law
law.invention
tekstovno rudarjenje
03 medical and health sciences
0302 clinical medicine
bibliometric analysis
law
social science
030212 general & internal medicine
Sociology
Jaccardova razdalja
lcsh:Environmental sciences
science
lcsh:GE1-350
Descriptive statistics
Renewable Energy
Sustainability and the Environment
koronavirus
lcsh:Environmental effects of industries and plants
pandemic
05 social sciences
udc:3:004
other
COVID-19
Subject (documents)
znanost
Data science
lcsh:TD194-195
Venn diagram
družbene vede
0509 other social sciences
050904 information & library sciences
Zdroj: Sustainability, vol. 12, no. 21, 9132, 2020.
Sustainability, Vol 12, Iss 9132, p 9132 (2020)
Sustainability; Volume 12; Issue 21; Pages: 9132
ISSN: 2071-1050
Popis: 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, using innovative and sophisticated bibliometric approaches (e.g. Venn diagram, Biblioshiny descriptive statistics, VOSviewer co-occurrence network analysis, Jaccard distance cluster analysis, text mining based on logistic regression). 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 empirical results indicate that there is still a lack of publications of COVID-19 and its implications in less-explored (non-health) sciences, especially in social sciences. Accordingly, 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.
Databáze: OpenAIRE
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