Bradley Efron
Impact in
- Statistics and Probability top 0.01%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods in Clinical Trials
- Statistical Distribution Estimation and Applications
- Statistics, Probability and Uncertainty top 0.01%
- Probabilistic and Robust Engineering Design
Papers in
-
- Advanced Statistical Methods and Models 68
- Statistical Methods and Inference 66
- Statistical Methods and Bayesian Inference 48
- Statistical Methods in Clinical Trials 22
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- Bayesian Methods and Mixture Models 16
- Bayesian Modeling and Causal Inference 12
- Co-authors
- Robert Tibshirani (18 shared papers)Trevor Hastie (7 shared papers)Gail Gong (2 shared papers)Iain M. Johnstone (2 shared papers)Carl N. Morris (17 shared papers)Leone Y. Low (1 shared paper)Thomas J. DiCiccio (4 shared papers)Persi Diaconis (2 shared papers)
- Journals
- Journal of the American Statistical Association (72 papers)Biometrika (20 papers)The Annals of Statistics (18 papers)Statistical Science (7 papers)The Annals of Applied Statistics (4 papers)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Bradley Efron
215 papers receiving 92.5k citations
Bradley Efron's Hit Papers
Peers
Comparison fields: 5 of 247
- Statistics and Probability 20.9k
- Statistics, Probability and Uncertainty 5.6k
- Management Science and Operations Research 6.4k
- Artificial Intelligence 12.5k
- Finance 3.4k
Countries citing papers authored by Bradley Efron
This map shows the geographic impact of Bradley Efron'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 Bradley Efron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley Efron more than expected).
Fields of papers citing papers by Bradley Efron
This network shows the impact of papers produced by Bradley Efron. 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 Bradley Efron. The network helps show where Bradley Efron may publish in the future.
Co-authors
The 25 scholars most cited alongside Bradley Efron, 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 224 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Introduction to the Bootstrap Hit paper breakdown → | 1994 | 29954 |
| 2 | An Introduction to the Bootstrap Hit paper breakdown → | 1993 | 16745 |
| 3 | Least angle regression Hit paper breakdown → | 2004 | 6141 |
| 4 | The Jackknife, the Bootstrap and Other Resampling Plans Hit paper breakdown → | 1982 | 6123 |
| 5 | Better Bootstrap Confidence Intervals Hit paper breakdown → | 1987 | 2540 |
| 6 | A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation Hit paper breakdown → | 1983 | 2398 |
| 7 | The Jackknife: The Bootstrap and Other Resampling Plans. Hit paper breakdown → | 1983 | 2322 |
| 8 | Bootstrap confidence intervals Hit paper breakdown → | 1996 | 1643 |
| 9 | Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation Hit paper breakdown → | 1983 | 1641 |
| 10 | An Introduction to the Bootstrap Hit paper breakdown → | 1995 | 1466 |
| 11 | Empirical Bayes Analysis of a Microarray Experiment Hit paper breakdown → | 2001 | 1158 |
| 12 | Improvements on Cross-Validation: The 632+ Bootstrap Method Hit paper breakdown → | 1997 | 1037 |
| 13 | Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods Hit paper breakdown → | 1981 | 1036 |
| 14 | Statistical Data Analysis in the Computer Age Hit paper breakdown → | 1991 | 999 |
| 15 | A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation Hit paper breakdown → | 1983 | 924 |
| 16 | Computer-Intensive Methods in Statistics Hit paper breakdown → | 1983 | 851 |
| 17 | Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve Hit paper breakdown → | 1988 | 769 |
| 18 | The Efficiency of Cox's Likelihood Function for Censored Data Hit paper breakdown → | 1977 | 767 |
| 19 | Large-Scale Simultaneous Hypothesis Testing Hit paper breakdown → | 2004 | 684 |
| 20 | Computers and the Theory of Statistics: Thinking the Unthinkable Hit paper breakdown → | 1979 | 641 |
About Bradley Efron
Bradley Efron is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Management Science and Operations Research and Applied Mathematics, having authored 224 papers that have together received 99.5k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (68 papers), Statistical Methods and Inference (66 papers), Statistical Methods and Bayesian Inference (48 papers), Statistical Methods in Clinical Trials (22 papers), Bayesian Methods and Mixture Models (16 papers), Gene expression and cancer classification (15 papers), Bayesian Modeling and Causal Inference (12 papers) and Advanced Statistical Process Monitoring (9 papers). The work is most often cited by research in Statistics and Probability (20.9k citations), Statistics, Probability and Uncertainty (5.6k citations), Management Science and Operations Research (6.4k citations), Artificial Intelligence (12.5k citations) and Finance (3.4k citations). Bradley Efron has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Robert Tibshirani, Trevor Hastie, Gail Gong, Iain M. Johnstone, Carl N. Morris, Leone Y. Low, Thomas J. DiCiccio, Persi Diaconis, Scott D. Grimshaw and D. V. Hinkley. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, The Annals of Statistics, Statistical Science and The Annals of Applied Statistics.
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.