B. Efron

32.3k citations
31 papers · 23.1k indexed · 6 hit papers · h-index 20

B. Efron

31 papers receiving 21.4k citations

Hit Papers

Bootstrap confidence levels for phylogenetic trees.56519792026199420102.5k5.0k7.5k10.0k

Peers

B. Efron
Comparison fields: 5 of 240
  • Statistics and Probability 4.9k
  • Statistics, Probability and Uncertainty 1.6k
  • Management Science and Operations Research 1.6k
  • Finance 1.3k
  • Artificial Intelligence 2.7k
Replace D. R. Cox with:
D. R. Cox United Kingdom
D. V. Hinkley United States
William S. Cleveland United States
Robert E. Kass United States
Charles J. Stone United States
Ingram Olkin United States
R. Dennis Cook United States
David R. Cox United States
M. G. Kendall United Kingdom
Emanuel Parzen United States
B. Efron relative to D. R. Cox United Kingdom D. R. Cox's profile →
Citations per field
00.5×1.5×2.5×
D. R. Cox · 1×
Citations per year

Countries citing papers authored by B. Efron

Since Specialization
Citations

This map shows the geographic impact of B. 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 B. Efron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Efron more than expected).

Fields of papers citing papers by B. Efron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. 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 B. Efron. The network helps show where B. Efron may publish in the future.

Co-authorship network

The 25 scholars most cited alongside B. Efron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B. Efron Line = papers co-authored together B. Efron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20156
2 200720
3 199951
4 19999
5 1991216
6 19901
7 198987
8 19881
9 1988116
10 19876
11 198624
12 198668
13 19861
14 198625
15 1983190
16
The Jackknife Estimate of Variancebreakdown →
1981880
17 197914
18
Bootstrap Methods: Another Look at the Jackknifebreakdown →
197911792
19 1973125
20 1965188

About B. Efron

B. Efron is a scholar working on Statistics and Probability, Developmental Biology and Virology, having authored 31 papers that have together received 23.1k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (6 papers), Statistical Methods in Clinical Trials (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Statistical Methods and Bayesian Inference (2 papers), HIV Research and Treatment (2 papers), Probability and Statistical Research (2 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in Statistics and Probability (4.9k citations), Statistics, Probability and Uncertainty (1.6k citations) and Management Science and Operations Research (1.6k citations). B. Efron has collaborated with scholars based in United States and Niger. Frequent co-authors include S. T. Buckland, Ryan J. Tibshirani, C. Stein, Robert Tibshirani, Paul Marriott, Susan Holmes, Elizabeth Halloran, Daniel Feldman, Kenneth P. Burnham and Carl N. Morris. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, The American Statistician, Statistical Science and Biometrika.

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.

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