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Review
. 2022 Sep 25;8(9):e10757.
doi: 10.1016/j.heliyon.2022.e10757. eCollection 2022 Sep.

Bibliometric analysis for economy in COVID-19 pandemic

Meihui Zhong  1 , Mingwei Lin  1
Affiliations
Review

Bibliometric analysis for economy in COVID-19 pandemic

Meihui Zhong et al. Heliyon. .

Abstract

Since the outbreak of COVID-19, various fields have been damaged to varying degrees, especially in the economic field. According to a comprehensive study of bibliometrics and content analysis, this paper aims at summarizing studies related to the development of the economic field during the COVID-19 epidemic. We search in Web of Science Core Collection using the subjects such as "economics", "economy", "economic", "financial", and then 2274 related documents are collected, which are published from 2020 to 2022. First, this paper uses the mixed qualitative and quantitative analysis methods to analyze the publication status of the countries, institutions, and authors, respectively, and conducts the document co-citation analysis by CiteSpace software. The results showed that the most popular journal is Sustainability, and the most productive research institutions, countries, and authors are primarily located in North American and European countries. Then, it makes an in-depth study of the cooperative network. With the support of Gephi software, this paper employs the social network analysis method to analyze the situation of the country/region cooperation and institutional cooperation. Finally, the content analysis of the related studies is presented to further explore the current challenges. On this basis, this paper analyzes the economic development in the post-epidemic era and draws some conclusions, which provide some references for scholars interested in this field.

Keywords: Bibliometric analysis; COVID-19; Content analysis; Economy.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Global distribution of confirmed cases in COVID-19.
Figure 2
Figure 2
The outline of this paper.
Figure 3
Figure 3
Distribution of document types.
Figure 4
Figure 4
The journal co-citation network.
Figure 5
Figure 5
(a) Document co-citation network; (b) The co-citation clusters.
Figure 6
Figure 6
Density map of publications in different countries/regions.
Figure 7
Figure 7
The co-occurrence network for all institution.
Figure 8
Figure 8
Most relevant authors.
Figure 9
Figure 9
The cooperation network of countries/regions.
Figure 10
Figure 10
The top 20 countries/regions based on betweenness centrality on the map.
Figure 11
Figure 11
The cooperation network of institutions as of June 2021.
Figure 12
Figure 12
The cooperation network of institutions as of June 2022.
Figure 13
Figure 13
The timeline view as June 2021.
Figure 14
Figure 14
The timeline view as June 2022.
See this image and copyright information in PMC

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