Using Bibliometric Analysis to Understand Research Conducted on COVID-19 and Its Impact at the Global Level
Abstract: Bibliometrics is an unique statistical analysis that can be used to analyze a scalable body of academic literature quantitatively. Many research studies have applied bibliometric analyses to evaluate or understand research trends (Ellegaard & Wallin, 2015). The statistical analysis which can include journals, authors, countries and institutions can help researchers interested on certain topics to grasp the basic information and development status of the literature quickly. A commonly used bibliometric method is citation analysis. Based on the premise that heavily cited articles are likely to have a greater influence on the research field, analysis of the citation scan provide useful information about the journals, papers, and authors that can be considered influential (Pilkington and Meredith, 2009). A co-citation analysis is defined as the frequency with which two documents are cited together by other documents (Small, 1973). Co-citation analyses allow researchers to recognize the inherent relationships in the literature and identify the core publications/citations and the major knowledge groups of a specific field (Pilkington & Meredith, 2009). This presentation will discuss the state of research conducted and published during the COVID-19 pandemic and the most significant trends emerged at the global level.