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

Organised by Malaysia R User Group (MyRUG)

Abstract

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

Date
Oct 27, 2024 11:30 AM — 12:00 PM
Location
Dewan Kualiah 4, School of Medical Sciences, Universiti Sains Malaysia
Tengku Muhammad Hanis
Tengku Muhammad Hanis
Lead academic trainer

My research interests include medical statistics and machine learning application.