Dror Ben‐Zeev

8.4k total citations · 2 hit papers
118 papers, 5.7k citations indexed

About

Dror Ben‐Zeev is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Dror Ben‐Zeev has authored 118 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Applied Psychology, 51 papers in Experimental and Cognitive Psychology and 39 papers in Psychiatry and Mental health. Recurrent topics in Dror Ben‐Zeev's work include Digital Mental Health Interventions (78 papers), Mental Health Research Topics (45 papers) and Schizophrenia research and treatment (33 papers). Dror Ben‐Zeev is often cited by papers focused on Digital Mental Health Interventions (78 papers), Mental Health Research Topics (45 papers) and Schizophrenia research and treatment (33 papers). Dror Ben‐Zeev collaborates with scholars based in United States, United Kingdom and Ghana. Dror Ben‐Zeev's co-authors include Andrew T. Campbell, Eric Granholm, Michael A. Young, Emily A. Scherer, Rachel Brian, David C. Mohr, Mark Begale, Christopher Brenner, Jennifer Duffecy and John M. Kane and has published in prestigious journals such as American Journal of Psychiatry, Scientific Reports and Psychological Medicine.

In The Last Decade

Dror Ben‐Zeev

107 papers receiving 5.5k citations

Hit Papers

StudentLife 2014 2026 2018 2022 2014 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dror Ben‐Zeev 3.1k 2.3k 1.4k 1.4k 1.3k 118 5.7k
Sandra Bucci 1.8k 0.6× 1.2k 0.5× 942 0.7× 1.7k 1.2× 1.9k 1.5× 161 5.1k
Björn Meyer 1.8k 0.6× 2.2k 1.0× 509 0.4× 1.7k 1.2× 2.7k 2.2× 117 5.9k
Michael R. Hufford 2.5k 0.8× 2.7k 1.2× 987 0.7× 840 0.6× 2.1k 1.7× 35 7.4k
Phillip K. Wood 1.6k 0.5× 2.3k 1.0× 1.1k 0.8× 847 0.6× 3.9k 3.1× 138 9.0k
John Gleeson 1.6k 0.5× 1.4k 0.6× 782 0.6× 2.7k 1.9× 2.6k 2.0× 166 6.4k
Mario Álvarez‐Jiménez 1.5k 0.5× 1.1k 0.5× 750 0.5× 2.6k 1.9× 2.3k 1.9× 193 6.2k
Wolfgang Lutz 1.7k 0.5× 3.1k 1.4× 540 0.4× 1.1k 0.8× 4.4k 3.5× 266 7.2k
Leanne Hides 1.9k 0.6× 702 0.3× 2.9k 2.1× 1.1k 0.8× 2.4k 1.9× 242 8.1k
Colin A. Depp 1.9k 0.6× 2.5k 1.1× 2.0k 1.4× 4.5k 3.3× 3.1k 2.5× 306 12.6k
Derek R. Hopko 1.5k 0.5× 3.0k 1.3× 535 0.4× 803 0.6× 3.0k 2.4× 88 6.5k

Countries citing papers authored by Dror Ben‐Zeev

Since Specialization
Citations

This map shows the geographic impact of Dror Ben‐Zeev'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 Dror Ben‐Zeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dror Ben‐Zeev more than expected).

Fields of papers citing papers by Dror Ben‐Zeev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dror Ben‐Zeev. 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 Dror Ben‐Zeev. The network helps show where Dror Ben‐Zeev may publish in the future.

Co-authorship network of co-authors of Dror Ben‐Zeev

This figure shows the co-authorship network connecting the top 25 collaborators of Dror Ben‐Zeev. A scholar is included among the top collaborators of Dror Ben‐Zeev 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 Dror Ben‐Zeev. Dror Ben‐Zeev 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.
Pakhomov, Serguei, et al.. (2025). Bigger But Not Better: Small Neural Language Models Outperform LLMs in Detection of Thought Disorder. PubMed. 2025. 90–105. 1 indexed citations
2.
Larsen, Anna, et al.. (2025). Digital health for early psychosis in Ghana: patient and caregiver needs and preferences. Schizophrenia. 11(1). 5–5.
3.
Kopelovich, Sarah L., et al.. (2025). Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.. Psychotherapy. 62(1). 12–21.
4.
Lau, Nancy, Tonya M. Palermo, Chuan Zhou, et al.. (2024). Mobile App Promoting Resilience in Stress Management for Adolescents and Young Adults With Cancer: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols. 13. e57950–e57950. 2 indexed citations
5.
Ben‐Zeev, Dror, Anna Larsen, Sammy Ohene, et al.. (2024). Combining mHealth Technology and Pharmacotherapy to Improve Mental Health Outcomes and Reduce Human Rights Abuses in West Africa: Intervention Field Trial. JMIR Mental Health. 11. e53096–e53096. 4 indexed citations
6.
Nepal, Subigya, Weichen Wang, Matthew D. Nemesure, et al.. (2023). Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(4). 1–38. 10 indexed citations
8.
Ben‐Zeev, Dror, et al.. (2022). Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster Analysis. JMIR mhealth and uhealth. 10(4). e31006–e31006. 22 indexed citations
9.
Homan, Philipp, Nina R. Schooler, Mary F. Brunette, et al.. (2022). Relapse prevention through health technology program reduces hospitalization in schizophrenia. Psychological Medicine. 53(9). 4114–4120. 9 indexed citations
12.
Ben‐Zeev, Dror, et al.. (2021). A Smartphone Intervention for People With Serious Mental Illness: Fully Remote Randomized Controlled Trial of CORE. Journal of Medical Internet Research. 23(11). e29201–e29201. 29 indexed citations
13.
Kola, Lola, et al.. (2020). Mobile Phone Use and Acceptability for the Delivery of Mental Health Information Among Perinatal Adolescents in Nigeria: Survey Study. JMIR Mental Health. 8(1). e20314–e20314. 16 indexed citations
14.
Moitra, Ethan, et al.. (2020). Using ecological momentary assessment for patients with psychosis posthospitalization: Opportunities for mobilizing measurement-based care.. Psychiatric Rehabilitation Journal. 44(1). 43–50. 8 indexed citations
15.
Ben‐Zeev, Dror, Emily A. Scherer, Jennifer D. Gottlieb, et al.. (2016). mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge. JMIR Mental Health. 3(3). e34–e34. 99 indexed citations
16.
Brian, Rachel & Dror Ben‐Zeev. (2014). Mobile health (mHealth) for mental health in Asia: Objectives, strategies, and limitations. Asian Journal of Psychiatry. 10. 96–100. 82 indexed citations
17.
Corrigan, Patrick W., Nicolas Rüsch, Dror Ben‐Zeev, & Tamara Goldman Sher. (2014). The rational patient and beyond: Implications for treatment adherence in people with psychiatric disabilities.. Rehabilitation Psychology. 59(1). 85–98. 17 indexed citations
18.
Ben‐Zeev, Dror, Stephen M. Schueller, Mark Begale, et al.. (2014). Strategies for mHealth Research: Lessons from 3 Mobile Intervention Studies. Administration and Policy in Mental Health and Mental Health Services Research. 42(2). 157–167. 117 indexed citations
19.
Ben‐Zeev, Dror. (2012). Mobile Technologies in the Study, Assessment, and Treatment of Schizophrenia. Schizophrenia Bulletin. 38(3). 384–385. 57 indexed citations
20.
Ben‐Zeev, Dror & Michael A. Young. (2010). Accuracy of Hospitalized Depressed Patients' and Healthy Controls' Retrospective Symptom Reports. The Journal of Nervous and Mental Disease. 198(4). 280–285. 80 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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