Berk Ustun
Impact in
- Health Informatics top 2%
- Psychiatry and Mental health top 5%
- Attention Deficit Hyperactivity Disorder
- Epilepsy research and treatment
Papers in
-
- Machine Learning in Healthcare 5
- Explainable Artificial Intelligence (XAI) 5
- Adversarial Robustness in Machine Learning 3
- Machine Learning and Data Classification 3
- Bayesian Modeling and Causal Inference 2
-
- Statistical Methods and Inference 4
- Advanced Causal Inference Techniques 3
- Co-authors
- Cynthia Rudin (9 shared papers)Ronald C. Kessler (3 shared papers)Patricia A. Berglund (1 shared paper)Thomas Spencer (1 shared paper)Michael J. Gruber (1 shared paper)Stephen V. Faraone (1 shared paper)Lenard A. Adler (1 shared paper)M. Brandon Westover (2 shared papers)
- Journals
- Depression and Anxiety (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Journal of Anxiety Disorders (1 paper)Journal of the American Heart Association (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Berk Ustun
22 papers receiving 928 citations
Peers
Comparison fields: 5 of 113
- Health Informatics 48
- Psychiatry and Mental health 202
- Artificial Intelligence 268
- Safety Research 63
- Clinical Psychology 136
Countries citing papers authored by Berk Ustun
This map shows the geographic impact of Berk Ustun'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 Berk Ustun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berk Ustun more than expected).
Fields of papers citing papers by Berk Ustun
This network shows the impact of papers produced by Berk Ustun. 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 Berk Ustun. The network helps show where Berk Ustun may publish in the future.
Co-authors
The 25 scholars most cited alongside Berk Ustun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 243 | |
| 2 | 2015 | 168 | |
| 3 | 2017 | 121 | |
| 4 | 2019 | 106 | |
| 5 | 2018 | 67 | |
| 6 | 2016 | 62 | |
| 7 | Learning Optimized Risk Scores | 2019 | 33 |
| 8 | 2015 | 28 | |
| 9 | Fairness without Harm: Decoupled Classifiers with Preference Guarantees | 2019 | 23 |
| 10 | 2017 | 23 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2013 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2018 | 3 | |
| 20 | 2021 | 2 |
About Berk Ustun
Berk Ustun is a scholar working on Artificial Intelligence, Statistics and Probability, Management Science and Operations Research, Safety Research and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 959 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (3 papers), Adversarial Robustness in Machine Learning (3 papers), Ethics and Social Impacts of AI (3 papers), Machine Learning and Data Classification (3 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Health Informatics (48 citations), Psychiatry and Mental health (202 citations), Artificial Intelligence (268 citations), Safety Research (63 citations) and Clinical Psychology (136 citations). Berk Ustun has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Cynthia Rudin, Ronald C. Kessler, Patricia A. Berglund, Thomas Spencer, Michael J. Gruber, Stephen V. Faraone, Lenard A. Adler, M. Brandon Westover, Matt T. Bianchi and Murray B. Stein. Their work appears in journals such as Depression and Anxiety, ACM Transactions on Knowledge Discovery from Data, Journal of Anxiety Disorders, Journal of the American Heart Association and Journal of Machine Learning Research.
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.