
doi: 10.22088/cjs.9.2.100
Background and aim: Coronavirus disease 2019 (COVID-19) is a respiratory disease with rapid transmission that affects most countries. The aim of the present study was to analyze the citations of COVID-19 research in the Scopus citation database from 2019 to 2021. Materials and methods: This applies study was conducted with a scientometric approach. The research population was 4269 research articles published in the field of COVID-19 during 2019-2021. VOSviewer, UCINET, and Excel were used to map and analyze the citation network. Findings: In the Scopus database, the most frequently cited articles at COVID-19 related to China. The United States had the largest number of articles in this field assigned to COVID-19 with 467 articles. Li Y, Li X, and Wang J scored the highest in rank centrality, closeness index, and intermediate index, respectively. Iranian researchers have had the most international collaboration with the countries of North America, Europe, and China. Conclusion: The countries of America and China have contributed the most in this field in terms of both article production and citations. Due to the co-authorship with these countries, Iran is also in the first and best cluster in the world.
covid-19, scopus, citation analysis, scholarly articles, Bibliography. Library science. Information resources, Z
covid-19, scopus, citation analysis, scholarly articles, Bibliography. Library science. Information resources, Z
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
