Julia Bondar
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
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- Mental Health Research Topics 2
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- Digital Mental Health Interventions 1
- Co-authors
- Adam Mourad Chekroud (4 shared papers)Jaime Delgadillo (1 shared paper)Robert J. DeRubeis (1 shared paper)Akash R. Wasil (1 shared paper)Gavin J. Doherty (1 shared paper)Dominic Dwyer (1 shared paper)Danielle C. M. Belgrave (1 shared paper)Zachary Daniel Cohen (1 shared paper)
- Journals
- Science (1 paper)The Lancet Psychiatry (1 paper)World Psychiatry (1 paper)JAMA Network Open (1 paper)PLOS Global Public Health (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Julia Bondar
5 papers receiving 575 citations
Julia Bondar's Hit Papers
Peers
Comparison fields: 5 of 99
- Health Informatics 42
- Applied Psychology 95
- Experimental and Cognitive Psychology 129
- Biological Psychiatry 17
- Psychiatry and Mental health 69
Countries citing papers authored by Julia Bondar
This map shows the geographic impact of Julia Bondar'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 Julia Bondar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Bondar more than expected).
Fields of papers citing papers by Julia Bondar
This network shows the impact of papers produced by Julia Bondar. 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 Julia Bondar. The network helps show where Julia Bondar may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Bondar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The promise of machine learning in predicting treatment outcomes in psychiatry Hit paper breakdown → | 2021 | 354 |
| 2 | Illusory generalizability of clinical prediction models Hit paper breakdown → | 2024 | 147 |
| 3 | 2020 | 48 | |
| 4 | 2022 | 32 | |
| 5 | 2024 | 7 |
About Julia Bondar
Julia Bondar is a scholar working on Experimental and Cognitive Psychology, Applied Psychology, General Health Professions, Speech and Hearing and Psychiatry and Mental health, having authored 5 papers that have together received 588 indexed citations. Recurring topics across this work include Mental Health Research Topics (2 papers), Digital Mental Health Interventions (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Adolescent and Pediatric Healthcare (1 paper), Functional Brain Connectivity Studies (1 paper), Machine Learning in Healthcare (1 paper), Workplace Health and Well-being (1 paper) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Health Informatics (42 citations), Applied Psychology (95 citations), Experimental and Cognitive Psychology (129 citations), Biological Psychiatry (17 citations) and Psychiatry and Mental health (69 citations). Julia Bondar has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Adam Mourad Chekroud, Jaime Delgadillo, Robert J. DeRubeis, Akash R. Wasil, Gavin J. Doherty, Dominic Dwyer, Danielle C. M. Belgrave, Zachary Daniel Cohen, Karmel W. Choi and Marjolein Fokkema. Their work appears in journals such as Science, The Lancet Psychiatry, World Psychiatry, JAMA Network Open and PLOS Global Public Health.
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.