Virtual Reality in Health Care: Bibliometric Analysis
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Abstract
Background: Research into the application of virtual reality technology in the health care sector has rapidly increased, resulting in a large body of research that is difficult to keep up with. Objective: We will provide an overview of the annual publication numbers in this field and the most productive and influential countries, journals, and authors, as well as the most used, most co-occurring, and most recent keywords. Methods: Based on a data set of 356 publications and 20,363 citations derived from Web of Science, we conducted a bibliometric analysis using BibExcel, HistCite, and VOSviewer. Results: The strongest growth in publications occurred in 2020, accounting for 29.49% of all publications so far. The most productive countries are the United States, the United Kingdom, and Spain; the most influential countries are the United States, Canada, and the United Kingdom. The most productive journals are the Journal of Medical Internet Research (JMIR), JMIR Serious Games, and the Games for Health Journal; the most influential journals are Patient Education and Counselling, Medical Education, and Quality of Life Research. The most productive authors are Riva, del Piccolo, and Schwebel; the most influential authors are Finset, del Piccolo, and Eide. The most frequently occurring keywords other than “virtual” and “reality” are “training,” “trial,” and “patients.” The most relevant research themes are communication, education, and novel treatments; the most recent research trends are fitness and exergames. Conclusions: The analysis shows that the field has left its infant state and its specialization is advancing, with a clear focus on patient usability.
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Most articles on VR in health, in general, have been published in the United States.
“This trend denotes a divergence in the topics related to VR in health because most articles on VR in health, in general, have been published in the United States [50].”
From Immersive technologies for depression care: scoping review (2024) · cites this paper as [50]
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Utilizing Virtual Reality for Distraction in Emergency Care
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Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey
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Mapping the Literature on Implementation of Blockchain in Agriculture: A Systematic Review
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Virtual Reality Technology in Pain Treatment Application: A Bibliometric Analysis (Preprint)Preprint
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Research Trends and Highlights Toward Virtual Reality in Patients With Cancer
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Creating a Project Design for an Application in Virtual Reality
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- Authors
- Pawassar, C. M., & Tiberius, V.
- Affiliations
- University of Potsdam (DE)
- Corresponding author
- Tiberius, Victor
- Venue
- JMIR Serious Games
- Publisher
- JMIR Publications Inc.
- Published
- 2021-12-01
- Volume
- 9
- Issue
- 4
- Pages
- e32721
- ISSN
- 2291-9279 (ISSN-L)
- PMC
- PMC8686483
- OpenAlex
- W3203891641
- Cited by
- 79
- References
- 87
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 24 · 2023: 20 · 2022: 7
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Serious Games (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- publish.UP (University of Potsdam) (submittedVersion, cc-by)
- Universität Potsdam (cc-by)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- virtual reality, health care, research trends, publication growth, co-citation analysis, exergames, serious games, medical training, patient communication
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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