Abstract
Nursing management and nurse manager research has expanded over recent decades, and a comprehensive account of the structural, thematic, and geographic features of this literature can clarify its development. This study analyzed scientific output on nursing management and nurse managers through bibliometric methods, mapping temporal trends, intellectual structure, thematic evolution, and citation impact. Bibliometric analysis was conducted on 7,054 English-language articles retrieved from the Web of Science Core Collection on 3 February 2026. Data were analyzed using the bibliometrix R package via the Biblioshiny interface. Outputs included Bradford’s Law journal distribution, keyword frequency and co-occurrence mapping, temporal keyword density, Callon’s centrality-density thematic mapping, author and institutional productivity, corresponding author country contributions, and global citation rankings. The literature spanned 1980 to 2026, with a 9.06% annual growth rate and 23,967 contributing authors. Three core journals accounted for 2,501 articles, approximately 35.5% of the dataset: Journal of Nursing Management, Journal of Nursing Administration, and Nurse Leader. The most frequent keywords were “nurses,” “leadership,” “care,” “nursing,” and “impact.” “Leadership” and “nursing” peaked in density around 2020, while “artificial intelligence” and “mediating effect” emerged by 2025. The United States held the largest corresponding authorship share, followed by China, Canada, Australia, and Iran. Motor themes were “nurses,” “impact,” and “health.” The five most-cited articles addressed quality education, work stress, burnout, and patient safety. Nursing management research has consolidated around a small number of core journals and prolific authors, with its thematic core organized around a leadership-to-outcomes framework.
Keywords: nursing management, nurse manager, leadership, bibliometrics
Abstract
Nursing management and nurse manager research has expanded over recent decades, and a comprehensive account of the structural, thematic, and geographic features of this literature can clarify its development. This study analyzed scientific output on nursing management and nurse managers through bibliometric methods, mapping temporal trends, intellectual structure, thematic evolution, and citation impact. Bibliometric analysis was conducted on 7,054 English-language articles retrieved from the Web of Science Core Collection on 3 February 2026. Data were analyzed using the bibliometrix R package via the Biblioshiny interface. Outputs included Bradford’s Law journal distribution, keyword frequency and co-occurrence mapping, temporal keyword density, Callon’s centrality-density thematic mapping, author and institutional productivity, corresponding author country contributions, and global citation rankings. The literature spanned 1980 to 2026, with a 9.06% annual growth rate and 23,967 contributing authors. Three core journals accounted for 2,501 articles, approximately 35.5% of the dataset: Journal of Nursing Management, Journal of Nursing Administration, and Nurse Leader. The most frequent keywords were “nurses,” “leadership,” “care,” “nursing,” and “impact.” “Leadership” and “nursing” peaked in density around 2020, while “artificial intelligence” and “mediating effect” emerged by 2025. The United States held the largest corresponding authorship share, followed by China, Canada, Australia, and Iran. Motor themes were “nurses,” “impact,” and “health.” The five most-cited articles addressed quality education, work stress, burnout, and patient safety. Nursing management research has consolidated around a small number of core journals and prolific authors, with its thematic core organized around a leadership-to-outcomes framework.
Keywords: nursing management, nurse manager, leadership, bibliometrics
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How to cite:
Aydolu Algın Toros, Mehmet Bayansalduz. Structural Mapping of Nurse Manager and Nursing Management Research: A Bibliometric Analysis. Revista Cultura Científica, 2026 Issue 24. pg. 2463-2476.
Publication History
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Received: 17/06/2026
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Accepted: 28/10/2026
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Published: 07/11/2026
Copyright © 2026, Aydolu Algın Toros, Mehmet Bayansalduz. Published by Revista Cultura Científica. This article is published as open access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license (
http://creativecommons.org/licenses/by/4.0/).