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 Treatment and Access 2
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- Child and Adolescent Health 1
- Co-authors
- Adam M. Chekroud (4 shared papers)Zachary D. Cohen (1 shared paper)Danielle Belgrave (1 shared paper)Jaime Delgadillo (1 shared paper)Dominic Dwyer (1 shared paper)Gavin Doherty (1 shared paper)Robert J. DeRubeis (1 shared paper)Raquel Iniesta (1 shared paper)
- Journals
- World Psychiatry (1 paper)JAMA Network Open (1 paper)Science (1 paper)The Lancet Psychiatry (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Julia Bondar
5 papers receiving 460 citations
Julia Bondar's Hit Papers
Peers
Comparison fields: 5 of 99
- Health Informatics 41
- Applied Psychology 106
- Experimental and Cognitive Psychology 178
- Biological Psychiatry 15
- Cognitive Neuroscience 110
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 | 288 |
| 2 | Illusory generalizability of clinical prediction models Hit paper breakdown → | 2024 | 111 |
| 3 | 2020 | 42 | |
| 4 | 2022 | 30 | |
| 5 | 2024 | 5 |
About Julia Bondar
Julia Bondar is a scholar working on Social Psychology, General Health Professions, Experimental and Cognitive Psychology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 5 papers that have together received 476 indexed citations. Recurring topics across this work include Mental Health Research Topics (2 papers), Mental Health Treatment and Access (2 papers), Adolescent and Pediatric Healthcare (1 paper), Schizophrenia research and treatment (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Child and Adolescent Health (1 paper), Treatment of Major Depression (1 paper) and Childhood Cancer Survivors' Quality of Life (1 paper). The work is most often cited by research in Health Informatics (41 citations), Applied Psychology (106 citations), Experimental and Cognitive Psychology (178 citations), Biological Psychiatry (15 citations) and Cognitive Neuroscience (110 citations). Julia Bondar has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Adam M. Chekroud, Zachary D. Cohen, Danielle Belgrave, Jaime Delgadillo, Dominic Dwyer, Gavin Doherty, Robert J. DeRubeis, Raquel Iniesta, Karmel W. Choi and Akash R. Wasil. Their work appears in journals such as World Psychiatry, JAMA Network Open, Science, The Lancet Psychiatry and SHILAP Revista de lepidopterología.
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.