SCIENTOMETRIC ANALYSIS OF RECENT TRENDS IN NOVEL CORONAVIRUS (COVID-19) WITH SPECIAL REFERENCE TO INDIAN RESEARCH OUTPUT

Abstract

Purpose: The Novel Coronavirus (COVID-19) disease has impacted most countries and is now considered a global pandemic due to its high rate of contagion. This research paper aims to identify the Indian research publications on Novel Coronavirus (COVID-19). The various scientometric components of the research records published in the study period are carried out. Design/Methodology/Approach: A total of 3307 bibliographic records have been found during the study period using the Web of Science Core Collection database from 2020 to April 12, 2021. This study presented the scientometric analysis of these publications. Furthermore, statistical correlations using RStudio have been used to understand the various pattern and visualization. Findings: The present study found that total 3307 articles have been published during the period, (2020 to April 12, 2021) of which 12,538 authors out of 19,241 appeared authors, where 3.79% authors per document. Most of the articles have been published by multiple authors (12,386), and the mean of citations received per document was 4.35%. The Journal of Biomolecular Structure and Dynamics was the most preferred journal by the Indian researchers in the field of Novel Coronavirus (COVID-19) with 182 papers. AIIMS (All India Institutes of Medical Sciences) is the most productive organisation with 761 research papers. The USA (362) is the most preferred country by the Indian researchers. As a result, there is an enormous growth of scholarly literature on the subject. Research limitations: The current study exclusively examines 3307 research articles only, which have been indexed in the Web of Science Core Collection database from 2020 to April 12, 2021. Practical Implications: It will be very useful for the Indian researchers and scientists to understand the growth of publications output in the novel coronavirus (COVID-19) and identifying scholars & collaborators.