Introduction :

Early in December 2019, Wuhan, Hubei Province, China experienced an outbreak of a viral virus linked to pneumonia (1, 2). Asymptomatic to severe infections in the respiratory and gastrointestinal systems, kidneys, and heart were the hallmarks of COVID-19, which was caused by the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV2) (3). The number of cases has sharply increased when COVID-19 began to spread globally. The WHO has declared COVID-19 to be an urgent public health concern due to its rapid dissemination (4). In order to accomplish the following goals, the current study set out to undertake a bibliometric analysis on COVID-19 publications published in all countries between December 1, 2019, and April 1, 2020.

(a) Examining the field’s most-cited articles

(b) to showcase leading nations, organisations, and journals

© to map the keyword co-occurrences and COVID-19-related co-occurrences.

(d) to visualise the global network of co-contributions

(e) to map the cocitation and bibliographic coupling of journals in order to steer other researchers toward the direction of upcoming COVID-19 papers.


Background: Novel coronavirus illness (COVID-19) was originally discovered in China and as a result of its toxicity and vast dissemination, it finally turned into a significant worldwide health concern. Despite an increasing level of public interest in COVID-19, little is known about the current state of that information, which might help determine how much is known about this issue. In order to assess the development of knowledge on COVID-19, identify the key research players, and examine the conceptual areas of knowledge development in this field, this bibliometric study analysed the contemporary scientific literature.


Three significant databases within the Web of Science core collection were searched for bibliometric data on research linked to COVID-19 that had been published up until April 1, 2020. Additionally, using statistical and text-mining techniques, together with bibliometric tools and R software, a quantitative evaluation of the COVID-19 research was carried out to evaluate the characteristics of the existing studies and produce visualisations of the knowledge areas.


Journal articles, reviews, letters, and other publications totaling 422 were included in this study. An average of 3.91 authors and 2.47 citations per document were found. In addition, the top 10 publications, writers, and journals were determined based on how frequently they were published and cited. Maps were used to illustrate networks of contributing authors, institutions, and nations, highlighting distinct advances in research cooperation. The evaluation of keywords and text data led to the major areas of genetic, epidemiological, zoonotic, and other biological issues related to COVID-19.


In particular, this study focused on topics related to pathogenesis, epidemiology, transmission, diagnosis, therapy, prevention, and consequences of COVID-19.


COVID-19, SARS-CoV-2, Novel Coronavirus, Scientometrics, and Bibliometrics



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