Berk Ustun
Impact in
- Health Informatics top 5%
- Psychiatry and Mental health top 5%
- Attention Deficit Hyperactivity Disorder
- Epilepsy research and treatment
Papers in
-
- Statistical Methods and Inference 4
- Advanced Causal Inference Techniques 3
- Advanced Statistical Methods and Models 2
- Co-authors
- Cynthia RudinRonald C. KesslerPatricia A. BerglundThomas SpencerMichael J. GruberLenard A. AdlerStephen V. FaraoneM. Brandon Westover
- Journals
- Journal of the American Heart Association (1 paper)Journal of Anxiety Disorders (1 paper)Machine Learning (1 paper)INFORMS journal on computing (1 paper)Depression and Anxiety (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Berk Ustun
21 papers receiving 869 citations
Peers
Comparison fields: 5 of 118
- Health Informatics 47
- Psychiatry and Mental health 231
- Cognitive Neuroscience 186
- Artificial Intelligence 267
- Clinical Psychology 166
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 2 | |
| 11 | Learning Optimized Risk Scores | 2019 | 33 |
| 12 | 2019 | 96 | |
| 13 | Fairness without Harm: Decoupled Classifiers with Preference Guarantees | 2019 | 20 |
| 14 | 2018 | 63 | |
| 15 | 2017 | 231 | |
| 16 | 2017 | 23 | |
| 17 | 2016 | 62 | |
| 18 | 2015 | 165 | |
| 19 | 2015 | 28 | |
| 20 | 2013 | 7 |
About Berk Ustun
Berk Ustun is a scholar working on Health Informatics, Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 25 papers that have together received 903 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Statistical Methods and Inference (4 papers), Machine Learning and Data Classification (3 papers), Advanced Causal Inference Techniques (3 papers), Bayesian Modeling and Causal Inference (2 papers), Advanced Statistical Methods and Models (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Health Informatics (47 citations), Psychiatry and Mental health (231 citations), Cognitive Neuroscience (186 citations), Artificial Intelligence (267 citations) and Clinical Psychology (166 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, Lenard A. Adler, Stephen V. Faraone, M. Brandon Westover, Matt T. Bianchi and Murray B. Stein. Their work appears in journals such as Journal of the American Heart Association, Journal of Anxiety Disorders, Machine Learning, INFORMS journal on computing and Depression and Anxiety.
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.