Using Bibliometric Analysis to Understand Research Conducted on COVID-19 and Its Impact at the Global Level

Poster Demonstration (Pre-Recorded) ID: 59084
  1. aaa
    Fabián Otalora
    Universidad Antonio Nariño
  2. aaa
    Jineth Arango
    Pontificia Universidad Católica de Valparaíso
  3. Hector Luna
    Universidad Antonio Nariño
  4. aaa
    Martonia Gaskill
    University of Nebraska Kearney

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.


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