Research Output, Key Topics, and Trends in Productivity, Visibility, and Collaboration in Social Sciences Research on COVID-19: A Scientometric Analysis and Visualization

被引:3
|
作者
Hamdan, Walaa [1 ]
Alsuqaih, Hanan [1 ]
机构
[1] Princess Nourah Bint Abdulrahman Univ, Coll Humanities & Social Sci, Dept Lib & Informat, Airport Rd,POB 84428, Riyadh 11671, Saudi Arabia
来源
SAGE OPEN | 2024年 / 14卷 / 04期
关键词
scientmetrics; COVID-19; Social Sciences; collaboration; network analysis; IMPACT; NETWORKS;
D O I
10.1177/21582440241286217
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
COVID-19 has caused a surge in scientific publications, with increased collaboration. This study aims to elucidate scientific output, focal topics, emerging themes, and trends and patterns of productivity, visibility, and collaboration within social sciences research (SSR) on COVID-19. A scientometric analysis was conducted utilizing Biblioshiny and VOSviewer software. About 65,742 records published on WOS between 2020 and 2022 were analyzed. Topics such as "telehealth,""well-being," and "inequalities," were among the key topics while "interventions" and "mental well-being" were among emerging key topics. Collaboration patterns were regional. Harvard Medical School, the University of Toronto, and the University of Oxford emerge as leaders in collaboration, productivity, and influence. The USA, Italy, India, Spain, and Brazil serve as regional hubs for facilitating collaboration. The USA, England, and China exhibit leadership and influence, playing pivotal roles In shaping the global research. These findings are important for policymakers, funding agencies, and researchers in cultivating future research topics and collaborative efforts. The findings can inform strategic decision-making, resource allocation, and policy development to address present and future health crises. Additionally, these efforts contribute to advancing global sustainability initiatives and promoting human well-being. Encouraging international collaboration is essential, particularly for tackling the regional challenges encountered by countries with limited domestic research capabilities. Future research can improve the methodology used by di-versifying data sources beyond WOS.
引用
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页数:24
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