Against COVID-19 Pandemic: Bibliometric Assessment of World Scholars' International Publications related to COVID-19

Darsono, Dono; Rohmana, Jajang A; Busro, Busro

doi:10.25008/jkiski.v5i1.356

Cited by 30 publications

(39 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Focusing on information and knowledge sharing among the international COVID-19 researchers, in a separate study, Darsono et al (2020) collected bibliometric data of 1475 publications from the Scopus database. All papers were published between December 2019 to March 2020.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Bibliometric analysis of COVID-19 literature

Al-Zaman

2020

Preprint

View full text Add to dashboard Cite

This study analyzes N=16384 COVID-19-related literature published between December 2019 to June 2020. The data were extracted from the Web of Science database using four keywords: "COVID-19", "Coronavirus", "2019-nCoV", and "SARS-CoV-2". The analysis found that almost all but a tiny number of the papers are published in 2020 (95.16%). Of the 15 types of publications, article (40.015%) is on the top of the list. All publications are in 19 different languages where English (95.313%) is the dominant one. A total of 159 countries produce COVID-19-related researches, and the USA (25.433%) is in the leading position. According to the findings, Wang Y (n=94) is the top author, and the British Medical Journal (BMJ) (n=488) is the top source. Also, the University of London (n=488) is the leading organization with the highest number of papers, and medicine-related papers (n=2259) are the highest in numbers. Apart from these novel findings, this study is perhaps the largest COVID-19-related bibliometric analysis to date.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…The first COVID-19 case was identified on 17 November 2019 in Wuhan, the capital of the Hubei province of China (Darsono et al, 2020). The virus reached at least 25 countries as of 6 February 2020 and became global soon after (Wu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of COVID-19 literature

Al-Zaman

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…However, the extent of the current COVID-19 pandemic calls for in-depth knowledge allowing identification of numerous issues in different areas. Therefore, it is not surprising, why there is an unprecedented increase in the COVID-19 research since the pandemic started [24,26]. The COVID-19 pandemic resulted in generation of large amount of scientific publications, which can consequently present potential problems regarding the information velocity, availability, and scientific collaboration, especially in the early stages of the pandemic [27].…”

Section: Discussionmentioning

confidence: 99%

A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

Aristovnik¹,

Ravšelj²,

Umek³

2020

Preprint

View full text Add to dashboard Cite

The COVID-19 pandemic caused by the novel coronavirus emerged in Wuhan City, Hubei province of China at the end of 2019, has radically transformed the lives of people around the world. Due to its fast spreading, it is currently considered as a worldwide health, social and economic concern. The lack of knowledge on this area has encouraged academic sphere for extensive research, which is reflected in exponentially growing scientific literature in this area. However, current state of COVID-19 research reveals only early development of knowledge, while a comprehensive and in-depth overview remains neglected. Accordingly, the main aim of this paper is to fill the aforementioned gap in the literature and provide an extensive bibliometric analysis of COVID-19 research across science and social science research landscape. The bibliometric analysis is based on the Scopus database including all relevant and latest information on COVID-19 related publications (n=10,344) in the January-May 2020 period. The findings emphasize an importance of a comprehensive and in-depth approach considering different scientific disciplines in COVID-19 research. The understanding of the evolution of emerging scientific knowledge on COVID-19 is beneficial not only for scientific community but also for evidence-based policymaking in order to prevent and address the COVID-19 pandemic.

show abstract

“…However, the extent of the current COVID-19 pandemic calls for in-depth knowledge allowing identification of numerous issues in different areas. Therefore, it is not surprising, why there is an unprecedented increase in the COVID-19 research since the pandemic started [36,53]. The COVID-19 pandemic resulted in generation of large amount of scientific publications, which can consequently present potential problems regarding the information velocity, availability, and scientific collaboration, especially in the early stages of the pandemic [54].…”

Section: Discussionmentioning

confidence: 99%

A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

Aristovnik

Ravšelj

Umek

2020

Preprint

View full text Add to dashboard Cite

The COVID-19 pandemic caused by the novel coronavirus emerged in Wuhan City, Hubei province of China at the end of 2019, has radically transformed the lives of people around the world. Due to its fast spreading, it is currently considered as a worldwide health, social and economic concern. The lack of knowledge on this area has encouraged academic sphere for extensive research, which is reflected in exponentially growing scientific literature in this area. However, current state of COVID-19 research reveals only early development of knowledge, while a comprehensive and in-depth overview remains neglected. Accordingly, the main aim of this paper is to fill the aforementioned gap in the literature and provide an extensive bibliometric analysis of COVID-19 research across science and social science research landscape, using innovative and sophisticated bibliometric approaches (e.g. Venn diagram, Biblioshiny descriptive statistics, VOSviewer co-occurrence network analysis, Jaccard distance cluster analysis, text mining based on logistic regression). The bibliometric analysis is based on the Scopus database including all relevant and latest information on COVID-19 related publications (n=16,866) in the first half of 2020. The empirical results indicate that there is still a lack of publications of COVID-19 and its implications in less-explored (non-health) sciences, especially in social sciences. Accordingly, the findings emphasize an importance of a comprehensive and in-depth approach considering different scientific disciplines in COVID-19 research. The understanding of the evolution of emerging scientific knowledge on COVID-19 is beneficial not only for scientific community but also for evidence-based policymaking in order to prevent and address the COVID-19 pandemic.

show abstract

Against COVID-19 Pandemic: Bibliometric Assessment of World Scholars' International Publications related to COVID-19

Cited by 30 publications

References 6 publications

Bibliometric analysis of COVID-19 literature

Bibliometric analysis of COVID-19 literature

A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

Contact Info

Product

Resources

About