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.

Research Paper

Research paper provides the latest and most comprehensive findings about COVID-19 research across different scientific disciplines.

Suggested citation:
Aristovnik, A.; Ravšelj, D.; Umek, L. A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape. Sustainability 2020, 12, 9132.

Word Cloud on COVID-19 Research

Word Cloud on COVID-19 Research

Source: Aristovnik et al. (2020). A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape (forthcoming). Authors’ Elaboration Based on Scopus Database, 1st June 2020

Analyzing words in abstracts can also identify the scientific focus and the emphasis on current COVID-19 research. According to the word cloud, covid, sars and coronavirus are central terms in the COVID-19 research. Moreover, other words such as patients, disease and pandemic indicates that COVID-19 is mainly global health concern.