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Researcher · Stanford University · United States

Bradley Efron

Bradley Efron publishes mostly in Statistics and Probability, Artificial Intelligence and Molecular Biology, on topics such as Statistical Methods and Inference, Advanced Statistical Methods and Models and Statistical Methods and Bayesian Inference.

OpenAlex
World rank
#7,874
of 7,710,434 ranked researchers
Rank in United States
#2,696
of 1,627,098
Works
390
Citations
140k
Citations per work
359.3
h-index
102
i10-index 208Top 0.2% in Statistics and Probability
Bradley Efron

What does Bradley Efron research?

Bradley Efron's work is mostly in Mathematics (40%), Computer Science (17%), Decision Sciences (6%).

Physical Sciences: 219 works · 56.1% of their workMathematics: 154 works · 39.6% of their workStatistics and Probability: 154 works · 39.6% of their workComputer Science: 64 works · 16.5% of their workArtificial Intelligence: 64 works · 16.5% of their workEverything else: 116 works · 29.7% of their workSocial Sciences: 34 works · 8.7% of their workDecision Sciences: 25 works · 6.5% of their workManagement Science and Operations Research: 17 works · 4.4% of their workStatistics, Probability and Uncertainty: 8 works · 2.1% of their workEconomics, Econometrics and Finance: 9 works · 2.2% of their workEconomics and Econometrics: 9 works · 2.2% of their workLife Sciences: 21 works · 5.5% of their workBiochemistry, Genetics and Molecular Biology: 21 works · 5.5% of their workMolecular Biology: 21 works · 5.5% of their workTHEIR WORKBradley Efron390works
Life Sciences6%Physical Sciences56%Social Sciences9%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Mathematics15439.6%
    2. Computer Science6416.5%
  2. Everything else11629.7%
    1. Decision Sciences256.5%
    2. Economics, Econometrics and Finance92.2%
    1. Biochemistry, Genetics and Molecular Biology215.5%
  1. 1Statistics and Probability40% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Molecular Biology6% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Economics and Econometrics2% of their works
  6. 6Statistics, Probability and Uncertainty2% of their works

Research topics

Which keywords describe Bradley Efron's research?

The keywords of their largest research topics: Bayesian Methods, Regularization, Variable Selection, Multicollinearity, Regression Analysis, Bayesian Modeling, Multiple Imputation and Machine Learning.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Bayesian Methods1332 topics
  2. Regularization1011 topic
  3. Variable Selection1011 topic
  4. Multicollinearity881 topic
  5. Regression Analysis881 topic
  6. Bayesian Modeling711 topic
  7. Multiple Imputation711 topic
  8. Machine Learning582 topics
  9. Clustering532 topics
  10. R language371 topic
  11. Statistical Analysis371 topic
  12. Adaptive Designs321 topic
  13. Bayesian Inference321 topic
  14. False Discovery Rate321 topic
  15. Mixture Models321 topic
  16. Gene Expression211 topic
  17. Microarray211 topic
  18. Neural Networks171 topic
  19. Self-Organizing Maps171 topic

Where does Bradley Efron work?

Bradley Efron's main affiliation in the publication record is Stanford University, United States.

How many publications and citations does Bradley Efron have?

OpenAlex counts 390 works and 140,132 citations for Bradley Efron, an h-index of 102, ranking #7,874 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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