Talk - Exploring the COVID-19 Research Landscape in Malaysia: A Bibliometric Case Study

Abstract

This talk presents a bibliometric analysis of Malaysia’s COVID-19-related research, using data from the Web of Science database. Bibliometric analysis, which quantitatively evaluates publications through metrics like citation counts, publication volume, and collaboration networks, provides insights into key research trends, influential contributors, and collaborative efforts. By employing R and Python for the analysis, this case study demonstrates how bibliometric techniques can uncover valuable patterns and trends within Malaysia’s pandemic research landscape.