C. Stein
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Random Matrices and Applications
- Statistical Distribution Estimation and Applications
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- Probabilistic and Robust Engineering Design
Papers in
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- Bayesian Methods and Mixture Models 3
- Machine Learning in Healthcare 2
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- Advanced Statistical Methods and Models 2
- Statistical Distribution Estimation and Applications 2
- Co-authors
- B. Efron (1 shared paper)QiPing Feng (4 shared papers)N. Giri (1 shared paper)J. Kiefer (1 shared paper)Nancy J. Cox (3 shared papers)Dan M. Roden (4 shared papers)Joshua C. Denny (3 shared papers)V. Eric Kerchberger (3 shared papers)
- Journals
- Journal of the American Medical Informatics Association (3 papers)Nature Communications (1 paper)The Annals of Statistics (1 paper)Computers & Mathematics with Applications (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
C. Stein
12 papers receiving 1.3k citations
C. Stein's Hit Papers
Peers
Comparison fields: 5 of 169
- Statistics and Probability 471
- Statistics, Probability and Uncertainty 243
- Numerical Analysis 56
- Management Science and Operations Research 124
- Applied Mathematics 97
Countries citing papers authored by C. Stein
This map shows the geographic impact of C. Stein'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 C. Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Stein more than expected).
Fields of papers citing papers by C. Stein
This network shows the impact of papers produced by C. Stein. 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 C. Stein. The network helps show where C. Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Stein, 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 Jackknife Estimate of Variance Hit paper breakdown → | 1981 | 880 |
| 2 | 1962 | 156 | |
| 3 | Estimation of a covariance matrix | 1975 | 117 |
| 4 | 1986 | 99 | |
| 5 | 2020 | 34 | |
| 6 | 2022 | 32 | |
| 7 | 1994 | 21 | |
| 8 | 1963 | 20 | |
| 9 | 1955 | 14 | |
| 10 | 2021 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 1951 | 4 |
About C. Stein
C. Stein is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Computational Theory and Mathematics and Mathematical Physics, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (3 papers), Computational Drug Discovery Methods (2 papers), Advanced Statistical Methods and Models (2 papers), Biomedical Text Mining and Ontologies (2 papers), Statistical Distribution Estimation and Applications (2 papers), Machine Learning in Healthcare (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Statistics and Probability (471 citations), Statistics, Probability and Uncertainty (243 citations), Numerical Analysis (56 citations), Management Science and Operations Research (124 citations) and Applied Mathematics (97 citations). C. Stein has collaborated with scholars based in United States and Australia. Frequent co-authors include B. Efron, QiPing Feng, N. Giri, J. Kiefer, Nancy J. Cox, Dan M. Roden, Joshua C. Denny, V. Eric Kerchberger, Todd L. Edwards and Juan Zhao. Their work appears in journals such as Journal of the American Medical Informatics Association, Nature Communications, The Annals of Statistics, Computers & Mathematics with Applications and Journal of the American Statistical Association.
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.