Stephen Bates
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Gender Studies top 10%
- Diversity and Career in Medicine
Papers in
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- Adversarial Robustness in Machine Learning 3
- Explainable Artificial Intelligence (XAI) 2
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- Gene expression and cancer classification 2
- Co-authors
- Trevor Hastie (1 shared paper)Robert Tibshirani (1 shared paper)Emmanuel J. Candès (7 shared papers)Matteo Sesia (4 shared papers)Chiara Sabatti (3 shared papers)Michael I. Jordan (5 shared papers)Anastasios N. Angelopoulos (4 shared papers)Clara Fannjiang (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Science (1 paper)Nature Communications (1 paper)The Annals of Applied Statistics (1 paper)Remote Sensing of Environment (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Stephen Bates
14 papers receiving 479 citations
Stephen Bates's Hit Papers
Peers
Comparison fields: 5 of 125
- Statistics and Probability 94
- Gender Studies 57
- Health Informatics 8
- Artificial Intelligence 126
- Public Health, Environmental and Occupational Health 80
Countries citing papers authored by Stephen Bates
This map shows the geographic impact of Stephen Bates'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 Stephen Bates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Bates more than expected).
Fields of papers citing papers by Stephen Bates
This network shows the impact of papers produced by Stephen Bates. 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 Stephen Bates. The network helps show where Stephen Bates may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Bates, 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 | Cross-Validation: What Does It Estimate and How Well Does It Do It? Hit paper breakdown → | 2023 | 183 |
| 2 | 2010 | 76 | |
| 3 | 2021 | 43 | |
| 4 | 2020 | 39 | |
| 5 | 2020 | 34 | |
| 6 | 2023 | 33 | |
| 7 | 2023 | 29 | |
| 8 | 2020 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2023 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2022 | 2 | |
| 13 | Achieving Equalized Odds by Resampling Sensitive Attributes | 2020 | 1 |
| 14 | 2025 | 1 |
About Stephen Bates
Stephen Bates is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 494 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Adversarial Robustness in Machine Learning (3 papers), Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Advanced Statistical Process Monitoring (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Statistics and Probability (94 citations), Gender Studies (57 citations), Health Informatics (8 citations), Artificial Intelligence (126 citations) and Public Health, Environmental and Occupational Health (80 citations). Stephen Bates has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Trevor Hastie, Robert Tibshirani, Emmanuel J. Candès, Matteo Sesia, Chiara Sabatti, Michael I. Jordan, Anastasios N. Angelopoulos, Clara Fannjiang, Lucas Janson and Jonathan Marchini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Nature Communications, The Annals of Applied Statistics and Remote Sensing of Environment.
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.