The rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview
Open accessAbstract
Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known about how this interest is realized and hence the overall status, prospects, and possible challenges of AI4CBT as a field (e.g. breadth of the field, key topics and methods, key producing countries/institutions/authors, interdisciplinary grounding). This paper addresses this gap by developing a broad-spectrum bibliometric analysis towards acquiring a comprehensive overview of the AI4CBT field. Four key dimensions are analyzed (productivity, producers, productions, and contents) along the array of bibliographic metrics, including production trends over time, leading contributors at various levels, co-authorship, citation, and keywords co-occurrence networks, publication formats, key venues, methodological trends, and disciplinary assessment. The paper concludes by framing the status of AI4CBT as a scientific field, allowing to tie it to scientific and applicative challenges and opportunities that AI4CBT may encounter and offer as it further develops.
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CBT is moving toward an intelligent direction because information technology continues to evolve.
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How Culture Influences the Management of a Pandemic: A Simulation of the COVID-19 Crisis
Kruelen, K., de Bruin, B., Ghorbani, A., Mellema, R., Kammler, C., Vanhée, L., Dignum, V., & Dignum, F. P. M. (2022) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.4877 · Cited by 11 · see citing works
Understanding mental health through computers: An introduction to computational psychiatry
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Therapist Interventions and Skills as Predictors of Dropout in Outpatient Psychotherapy
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Expanding Access to Cognitive Behavioral Therapy: A Purposeful and Effective Model for Integration
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Psychological interventions for depression in children and adolescents: A bibliometric analysis
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From Threatening Pasts to Hopeful Futures. A Review of Agent-Based Models of Anxiety
Krantz-Horned, A., & Vanhée, L. (2023) · Springer proceedings in complexity · doi:10.1007/978-3-031-34920-1_12 · Cited by 6 · see citing works
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Optimizing Requests for Support in Context-Restricted Autonomy
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Anxiety-Sensitive Planning: From Formal Foundations to Algorithms and Applications
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ALBA: Adaptive Language-Based Assessments for Mental Health
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Thirty Years of Sense and Sensibility in Agent-Based Models: A Bibliometric Analysis
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VR and Sensors in Alleviating Loneliness
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Flagged first, then by citations
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Adebisi, E., Balogun, T. N., Oguntuase, S. B., & OLAJIDE, F. O. (2025) · Scientific journal of engineering and technology. · doi:10.69739/sjet.v2i2.999 · Cited by 8 · see citing works
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Vanhée, L., & Scarpa, S. (2025) · Drug and Alcohol Review · doi:10.1111/dar.70057 · Cited by 3 · see citing works
Nguyen, K. H., & Tran, M. D. (2025) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.70100 · Cited by 3 · see citing works
How is Artificial Intelligence (AI) Changing the Future of Computer-Based Testing (CBT)?
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- Authors
- Vanhée, L., Andersson, G., Garcia, D., & Sikström, S.
- Affiliations
- UiT The Arctic University of Norway (NO)
- Linköping University (SE)
- Lund University (SE)
- Corresponding author
- Vanhée, Loïs
- Venue
- Applied Psychology Health and Well-Being
- Publisher
- Wiley
- Published
- 2025-04-24
- Volume
- 17
- Issue
- 2
- Pages
- e70033-e70033
- ISSN
- 1758-0846 (ISSN-L)
- 1758-0854
- PMC
- PMC12021536
- OpenAlex
- W4409743167
- Cited by
- 14
- References
- 136
- Citations by year
- 2026: 6 · 2025: 8
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Applied Psychology Health and Well-Being (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DiVA at Umeå University (Umeå University) (submittedVersion, other-oa)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Vetenskapsrådet (2023–04505)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- artificial intelligence, cognitive behavioral therapy, digital mental health, research trends, co-authorship networks, citation analysis, interdisciplinary research, research productivity
- MeSH terms
- Artificial Intelligence, Humans, Bibliometrics, Cognitive Behavioral Therapy
About these checks
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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