Brian E. Bunnell

2.5k total citations · 1 hit paper
74 papers, 1.5k citations indexed

About

Brian E. Bunnell is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology and General Health Professions. According to data from OpenAlex, Brian E. Bunnell has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Public Health, Environmental and Occupational Health, 30 papers in Clinical Psychology and 21 papers in General Health Professions. Recurrent topics in Brian E. Bunnell's work include Telemedicine and Telehealth Implementation (28 papers), Digital Mental Health Interventions (21 papers) and Mobile Health and mHealth Applications (16 papers). Brian E. Bunnell is often cited by papers focused on Telemedicine and Telehealth Implementation (28 papers), Digital Mental Health Interventions (21 papers) and Mobile Health and mHealth Applications (16 papers). Brian E. Bunnell collaborates with scholars based in United States, Australia and United Kingdom. Brian E. Bunnell's co-authors include Jessica L. Maples‐Keller, Sae‐Jin Kim, Barbara O. Rothbaum, Déborah C. Beidel, Kenneth J. Ruggiero, Samantha R. Paige, Tatiana M. Davidson, Brandon M. Welch, Wilson J. Brown and Triton Ong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Brian E. Bunnell

65 papers receiving 1.4k citations

Hit Papers

The Use of Virtual Reality Technology in the Treatment of... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian E. Bunnell United States 21 576 355 260 252 217 74 1.5k
Rocío Herrero Spain 18 524 0.9× 225 0.6× 399 1.5× 153 0.6× 144 0.7× 66 1.3k
Tom Van Daele Belgium 17 395 0.7× 310 0.9× 527 2.0× 161 0.6× 91 0.4× 52 1.2k
Diana Castilla Spain 21 279 0.5× 282 0.8× 357 1.4× 103 0.4× 130 0.6× 67 1.3k
Francesco Pagnini Italy 27 1.1k 2.0× 313 0.9× 221 0.8× 202 0.8× 71 0.3× 135 2.7k
Javier Fernández‐Álvarez Spain 19 426 0.7× 553 1.6× 417 1.6× 75 0.3× 244 1.1× 57 1.4k
Carlos Suso‐Ribera Spain 21 430 0.7× 350 1.0× 233 0.9× 146 0.6× 57 0.3× 108 1.4k
Matthew C. Mishkind United States 18 679 1.2× 231 0.7× 824 3.2× 612 2.4× 136 0.6× 30 1.9k
Gregory A. Gahm United States 27 1.8k 3.1× 214 0.6× 344 1.3× 213 0.8× 115 0.5× 49 2.5k
James Spira United States 23 630 1.1× 172 0.5× 128 0.5× 96 0.4× 124 0.6× 45 1.3k
Greg M. Reger United States 27 1.2k 2.1× 360 1.0× 779 3.0× 229 0.9× 489 2.3× 89 2.8k

Countries citing papers authored by Brian E. Bunnell

Since Specialization
Citations

This map shows the geographic impact of Brian E. Bunnell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian E. Bunnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Bunnell more than expected).

Fields of papers citing papers by Brian E. Bunnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Bunnell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian E. Bunnell. The network helps show where Brian E. Bunnell may publish in the future.

Co-authorship network of co-authors of Brian E. Bunnell

This figure shows the co-authorship network connecting the top 25 collaborators of Brian E. Bunnell. A scholar is included among the top collaborators of Brian E. Bunnell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian E. Bunnell. Brian E. Bunnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ong, Triton, et al.. (2025). Mental Health Care Guidelines for Telemedicine During the COVID-19 Pandemic: Scoping Review. JMIR Mental Health. 12. e56534–e56534.
2.
Richter, Thalia, Nazanin Derakshan, Noga Cohen, et al.. (2025). Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms. npj Digital Medicine. 8(1). 65–65. 1 indexed citations
3.
Cummins, Mollie, et al.. (2024). Narrative review of telemedicine applications in decentralized research. Journal of Clinical and Translational Science. 8(1). e30–e30. 4 indexed citations
4.
Soni, Hiral, et al.. (2024). User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study. JMIR Medical Informatics. 12. e49785–e49785. 1 indexed citations
5.
Cummins, Mollie, Hiral Soni, Triton Ong, et al.. (2024). Patient Preferences for Direct-to-Consumer Telemedicine Services: Replication and Extension of a Nationwide Survey. JMIR Human Factors. 11. e51056–e51056.
6.
Cummins, Mollie, et al.. (2024). Regulation and Compliance in Telemedicine: Viewpoint. Journal of Medical Internet Research. 27. e53558–e53558. 1 indexed citations
8.
Ong, Triton, et al.. (2024). Therapist perspectives on telehealth-based virtual reality exposure therapy. Virtual Reality. 28(2). 9 indexed citations
9.
Cummins, Mollie, Bob Wong, Neng Wan, et al.. (2024). Travel Distance Between Participants in US Telemedicine Sessions With Estimates of Emissions Savings: Observational Study. Journal of Medical Internet Research. 26. e53437–e53437. 8 indexed citations
11.
Cummins, Mollie, et al.. (2024). Telemedicine Prescribing by US Mental Health Care Providers: National Cross-Sectional Survey. JMIR Formative Research. 9. e63251–e63251.
12.
Obeid, Jihad S., et al.. (2024). A Reproducible Model Based on Clinical Text for Predicting Suicidal Behavior. Studies in health technology and informatics. 310. 1486–1487. 1 indexed citations
13.
Cummins, Mollie, et al.. (2023). Consensus Guidelines for Teledermatology: Scoping Review. JMIR Dermatology. 6. e46121–e46121. 2 indexed citations
14.
Ong, Triton, et al.. (2023). Characterizing Consumer Smartphone Apps for Virtual Reality–Based Exposure Therapy: Content Analysis. Journal of Medical Internet Research. 25. e41807–e41807. 5 indexed citations
15.
Derakshan, Nazanin, Noga Cohen, Philip M. Enock, et al.. (2021). Personalized cognitive training: Protocol for individual-level meta-analysis implementing machine learning methods. Journal of Psychiatric Research. 138. 342–348. 11 indexed citations
16.
Obeid, Jihad S., et al.. (2020). Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach. JMIR Medical Informatics. 8(7). e17784–e17784. 30 indexed citations
17.
Bunnell, Brian E., et al.. (2020). Automatically Identifying Financial Stress Information from Clinical Notes for Patients with Prostate Cancer. PubMed. 1(1). 1–7. 2 indexed citations
18.
Hamblen, Jessica L., et al.. (2018). An Online Peer Educational Campaign to Reduce Stigma and Improve Help Seeking in Veterans with Posttraumatic Stress Disorder. Telemedicine Journal and e-Health. 25(1). 41–47. 28 indexed citations
19.
Brown, Wilson J., et al.. (2017). A review of sleep disturbance in children and adolescents with anxiety. Journal of Sleep Research. 27(3). e12635–e12635. 95 indexed citations
20.
Reyes, Andres De Los, Brian E. Bunnell, & Déborah C. Beidel. (2013). Informant discrepancies in adult social anxiety disorder assessments: Links with contextual variations in observed behavior.. Journal of Abnormal Psychology. 122(2). 376–386. 55 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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