Objective: To conduct a bibliometric analysis of community health nursing research from 2019-2023 to identify publication trends, influential entities, research themes, and collaboration patterns.
Methodology: Data on 870 community health nursing publications from 2019-2023 was retrieved from Web of Science database. Quantitative and network analysis were conducted using VOSviewer and R programing softwares to examine trends and collaboration patterns.
Results: The study included 870 community health nursing publications from 2019-2023. Annual output peaked in 2021, then declined. Average citations per article decreased over time. Public Health Nursing published the most articles, with output increasing annually. Yoshioka-maeda was the most productive author. The University of California System led affiliations. The United States dominated production and international collaborations. Keyword analysis revealed clusters around vulnerable groups, interventions, mental health, risks, and populations. Country collaboration network mapping showed robust North America-Europe links. The United States exhibited the most co-authorships.
Conclusion: This bibliometric analysis of community health nursing research from 2019-2023 provides insights into publication trends, influential authors, sources, countries, research themes, and collaboration patterns. Tracking changes over time and expanding diversity could further advance the field.
Key words: Bibliometric analysis, community health nursing, publication trends, research themes, collaboration patterns.
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