Healthcare resilience: bibliometric and network analysis

被引：1

作者：

Raut, Saroj ^{[1
]}

Hossain, Niamat Ullah Ibne ^{[1
]}

Fazio, Steven A. ^{[2
]}

机构：

[1] Arkansas State Univ, Engn Management Dept, State Univ, AR 72467 USA

[2] Mississippi State Univ, Dept Ind & Syst Engn, Mississippi State, MS USA

来源：

ENTERPRISE INFORMATION SYSTEMS | 2025年

关键词：

Healthcare resilience; bibliometric analysis; network analysis; healthcare policy; workforce resilience; emergency resilience; EXTREME WEATHER; PAGERANK; PATTERNS; SYSTEMS; SUPPORT; EVENTS;

D O I：

10.1080/17517575.2025.2464752

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study contains an investigation of the articles on healthcare resilience through bibliometric and network analysis, inspecting the local and global trends based on citation quantity. By using the keyword 'healthcare resilience', 3060 papers published from 1997 to 2023 are accumulated from the Scopus directory. Gephi, Biblioshiny, and VOSviewer generate bibliometric networks to trace the intellectual structure of healthcare resilience research. PageRank analysis is employed to determine the article with the highest scientific and academic influence on healthcare resilience. Based on thematic cluster analysis, four clusters are formed manually and explained in detail.

引用

页数：39

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