Mapping research trends in text analytics and natural language processing in nursing: a bibliometric analysis
Abstract
Aims: This study maps the intellectual landscape and emerging trends at the intersection of text mining, natural language processing (NLP), and nursing using Web of Science (WoS) data.
Methods: A bibliometric analysis was conducted using data from the WoS Core Collection. Studies published between January 1995 and December 2024 were retrieved using a Boolean search query targeting terms related to text analytics and nursing. After excluding non-English documents and studies unrelated to nursing, 251 peer-reviewed articles were included. Bibliometric mapping and network visualizations were generated using VOSviewer software, focusing on co-authorship patterns, keyword co-occurrence, and citation impact.
Results: Publication volume surged post-2019, coinciding with the COVID-19 pandemic. The United States was the leading contributor, with Computers Informatics Nursing as the top venue. Keyword analysis identified four thematic clusters: (1) pandemic-related digital surveillance, (2) machine learning for patient safety, (3) AI-supported nursing education, and (4) general qualitative practice. Citation patterns indicated high interest in sentiment analysis.
Conclusion: The findings highlight the growing integration of text analytics into nursing science, reflecting technological advancements and a shift toward data-informed decision-making. The thematic structure uncovered in this study points to a growing reliance on computational tools to support nursing education, clinical care, and research. These results contribute to a broader understanding of how digital methodologies are reshaping nursing knowledge production and signal key areas for future exploration.
Keywords
Supporting Institution
No financial support was received.
Ethical Statement
Since this study involved a bibliometric and textual analysis of previously published articles available in the Web of Science database, it did not include human participants, clinical interventions, or any use of personal/identifiable data. Therefore, no ethics committee approval was required.
References
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Details
Primary Language
English
Subjects
Fundamentals of Nursing, Nursing (Other)
Journal Section
Research Article
Publication Date
March 10, 2026
Submission Date
February 3, 2026
Acceptance Date
February 27, 2026
Published in Issue
Year 2026 Volume: 8 Number: 2
APA
Öner, B., & Belen, H. M. (2026). Mapping research trends in text analytics and natural language processing in nursing: a bibliometric analysis. Anatolian Current Medical Journal, 8(2), 338-344. https://doi.org/10.38053/acmj.1880635
AMA
1.Öner B, Belen HM. Mapping research trends in text analytics and natural language processing in nursing: a bibliometric analysis. Anatolian Curr Med J / ACMJ / acmj. 2026;8(2):338-344. doi:10.38053/acmj.1880635
Chicago
Öner, Beratiye, and Hilal Merve Belen. 2026. “Mapping Research Trends in Text Analytics and Natural Language Processing in Nursing: A Bibliometric Analysis”. Anatolian Current Medical Journal 8 (2): 338-44. https://doi.org/10.38053/acmj.1880635.
EndNote
Öner B, Belen HM (March 1, 2026) Mapping research trends in text analytics and natural language processing in nursing: a bibliometric analysis. Anatolian Current Medical Journal 8 2 338–344.
IEEE
[1]B. Öner and H. M. Belen, “Mapping research trends in text analytics and natural language processing in nursing: a bibliometric analysis”, Anatolian Curr Med J / ACMJ / acmj, vol. 8, no. 2, pp. 338–344, Mar. 2026, doi: 10.38053/acmj.1880635.
ISNAD
Öner, Beratiye - Belen, Hilal Merve. “Mapping Research Trends in Text Analytics and Natural Language Processing in Nursing: A Bibliometric Analysis”. Anatolian Current Medical Journal 8/2 (March 1, 2026): 338-344. https://doi.org/10.38053/acmj.1880635.
JAMA
1.Öner B, Belen HM. Mapping research trends in text analytics and natural language processing in nursing: a bibliometric analysis. Anatolian Curr Med J / ACMJ / acmj. 2026;8:338–344.
MLA
Öner, Beratiye, and Hilal Merve Belen. “Mapping Research Trends in Text Analytics and Natural Language Processing in Nursing: A Bibliometric Analysis”. Anatolian Current Medical Journal, vol. 8, no. 2, Mar. 2026, pp. 338-44, doi:10.38053/acmj.1880635.
Vancouver
1.Beratiye Öner, Hilal Merve Belen. Mapping research trends in text analytics and natural language processing in nursing: a bibliometric analysis. Anatolian Curr Med J / ACMJ / acmj. 2026 Mar. 1;8(2):338-44. doi:10.38053/acmj.1880635
