Berk Ustun
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
-
- Advanced Causal Inference Techniques 4
- Statistical Methods and Inference 4
-
- Machine Learning in Healthcare 4
- Adversarial Robustness in Machine Learning 3
- Explainable Artificial Intelligence (XAI) 3
- Co-authors
- Cynthia D Rudin (9 shared papers)Alexander Spangher (1 shared paper)Yang Liu (2 shared papers)Ronald C. Kessler (3 shared papers)Lenard A. Adler (1 shared paper)Thomas J. Spencer (1 shared paper)Michael J. Gruber (1 shared paper)Stephen V Faraone (1 shared paper)
- Journals
- JAMA Psychiatry (2 papers)Depression and Anxiety (1 paper)INFORMS Journal on Applied Analytics (1 paper)Journal of the American Heart Association (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Berk Ustun
25 papers receiving 1.4k citations
Berk Ustun's Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 80
- Safety Research 159
- Psychiatry and Mental health 245
- Artificial Intelligence 532
- Clinical Psychology 180
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5 Hit paper breakdown → | 2017 | 290 |
| 2 | Actionable Recourse in Linear Classification Hit paper breakdown → | 2019 | 272 |
| 3 | 2015 | 200 | |
| 4 | 2019 | 137 | |
| 5 | 2017 | 134 | |
| 6 | 2018 | 82 | |
| 7 | 2016 | 73 | |
| 8 | 2021 | 36 | |
| 9 | Learning Optimized Risk Scores | 2019 | 34 |
| 10 | Fairness without Harm: Decoupled Classifiers with Preference Guarantees | 2019 | 31 |
| 11 | 2015 | 30 | |
| 12 | 2017 | 27 | |
| 13 | 2024 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2023 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2024 | 8 | |
| 19 | 2018 | 5 | |
| 20 | 2026 | 2 |
About Berk Ustun
Berk Ustun is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Safety Research and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (4 papers), Statistical Methods and Inference (4 papers), Machine Learning in Healthcare (4 papers), Adversarial Robustness in Machine Learning (3 papers), Ethics and Social Impacts of AI (3 papers), Risk and Portfolio Optimization (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Health Informatics (80 citations), Safety Research (159 citations), Psychiatry and Mental health (245 citations), Artificial Intelligence (532 citations) and Clinical Psychology (180 citations). Berk Ustun has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Cynthia D Rudin, Alexander Spangher, Yang Liu, Ronald C. Kessler, Lenard A. Adler, Thomas J. Spencer, Michael J. Gruber, Stephen V Faraone, Patricia A. Berglund and Michael Brandon Westover. Their work appears in journals such as JAMA Psychiatry, Depression and Anxiety, INFORMS Journal on Applied Analytics, Journal of the American Heart Association and Nature Genetics.
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.