Journal of Science and Technology Metrics

A Parametric Review of Bibliometric Studies Related to COVID-19

Prashant Kumar Sinha, Kanu Chakraborty, Subhranshubhusan, Shiva Shankar Mahato, Sagar Bhimrao Gajbe, Sourav Debnath
Indian Statistical Institute, DRTC, Bangalore-560059, Karnataka, India University of Calcutta, Kolkata- 700073, West Bengal, India., Indian Institute of Technology (BHU) Varanasi- 221005, Uttar Pradesh. India., Indian Institute of Science Education and Re

Abstract: Bibliometrics is an important tool originated in the library and information science community that can be used to measure the research output. Researchers in various fields have extensively used it because of its immense utility. Last year, as COVID-19 hit the globe, researchers of various, be it medical domain, library science, etc., started to perform a chain of bibliometric studies. The present study used the SCOPUS database as a source of data and identified 39 bibliometric studies (BS) related to COVID-19. These 39 BS were studied based on two sets of parameters, namely general and granular. The study revealed that though the 39 BS were performed from different points of view. But it was seen that the journal Library Philosophy and Practice had published six among these 39 BS. It was observed that various medical literature oriented databases like MEDLINE and even general databases like WOS, SCOPUS which cover a variety of subjects, were used for the studies. Data was collected using a variety of strings, with a different time-span (50 years, 20 years, 3 months, etc.) in various formats like CSV, XLS, BibTxt, txt, etc. To process, analyze, and visualize the data various software were used like Excel, Python, SPSS, VOsviewer, CiteSpace to name a few. The number of articles varied because of the number of databases adopted, purpose, time-span and even the string used for the study. The most dominant document type was an article and the most productive subject area was medicine or virology. In 13 studies, it was observed that the University of Hong Kong was the most productive organization, and Yuen Kwok-yung was their most productive author. 20 BS found the most article producing countries was USA, whereas 13 found China to be the most prolific. 8 BS found the Journal of virology as the most producing source, whereas 3 BS found the Journal of Medical Virology the most producing source. For the collaboration network, various elements authors/countries/organizations/keywords/co-citations/citations were used to create the visualization network.

Keywords: Parametric Review, Bibliometric, COVID-19, COVID, Coronavirus, SARS-CoV-2 A Parametric Review of Bibliometric Studies Related to COVID-19

DOI:https://doi.org/10.6025/stm/2023/4/1/6-26

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