B. Efron

32.3k total citations · 6 hit papers
31 papers, 23.1k citations indexed

About

B. Efron is a scholar working on Statistics and Probability, Pathology and Forensic Medicine and Infectious Diseases. According to data from OpenAlex, B. Efron has authored 31 papers receiving a total of 23.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 3 papers in Pathology and Forensic Medicine and 2 papers in Infectious Diseases. Recurrent topics in B. Efron's work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (3 papers). B. Efron is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (3 papers). B. Efron collaborates with scholars based in United States and Niger. B. Efron's co-authors include Ryan J. Tibshirani, S. T. Buckland, C. Stein, Paul Marriott, Robert Tibshirani, Elizabeth Halloran, Susan Holmes, Daniel Feldman, Kenneth P. Burnham and Carl N. Morris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Psychological Bulletin.

In The Last Decade

B. Efron

31 papers receiving 21.4k citations

Hit Papers

Bootstrap Methods: Another Look at the Jackknife 1979 2026 1994 2010 1979 1986 1994 1981 1995 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. Efron United States 20 4.9k 2.7k 2.2k 1.8k 1.7k 31 23.1k
D. R. Cox United Kingdom 46 7.1k 1.5× 2.9k 1.1× 2.4k 1.1× 1.2k 0.7× 759 0.4× 127 23.7k
Ingram Olkin United States 69 6.7k 1.4× 2.5k 0.9× 2.6k 1.2× 1.2k 0.6× 832 0.5× 274 42.1k
William S. Cleveland United States 46 2.8k 0.6× 3.5k 1.3× 2.1k 1.0× 1.9k 1.0× 3.0k 1.7× 141 28.0k
Alan Agresti United States 61 6.9k 1.4× 2.8k 1.1× 2.1k 1.0× 1.3k 0.7× 1.1k 0.7× 164 28.3k
Peter McCullagh Australia 32 7.0k 1.4× 2.7k 1.0× 2.1k 1.0× 1.2k 0.6× 2.0k 1.2× 156 25.3k
Frederick Mosteller United States 69 4.7k 1.0× 2.9k 1.1× 2.7k 1.3× 1.0k 0.6× 815 0.5× 254 28.2k
Robert E. Kass United States 50 5.4k 1.1× 4.3k 1.6× 1.9k 0.9× 1.8k 1.0× 1.1k 0.6× 158 23.8k
Bernard W. Silverman United Kingdom 45 4.5k 0.9× 2.7k 1.0× 1.2k 0.5× 1.1k 0.6× 854 0.5× 104 15.6k
R. Dennis Cook United States 58 9.3k 1.9× 2.7k 1.0× 1.3k 0.6× 1.1k 0.6× 738 0.4× 237 20.2k
D. V. Hinkley United States 36 5.2k 1.1× 1.7k 0.6× 1.2k 0.6× 653 0.4× 1.0k 0.6× 100 13.6k

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 of co-authors of B. Efron

This figure shows the co-authorship network connecting the top 25 collaborators of B. Efron. A scholar is included among the top collaborators of B. Efron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B. Efron. B. Efron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rezvani, Alireza, Abraham S. Kanate, B. Efron, et al.. (2015). Allogeneic hematopoietic cell transplantation after failed autologous transplant for lymphoma using TLI and anti-thymocyte globulin conditioning. Bone Marrow Transplantation. 50(10). 1286–1292. 6 indexed citations
2.
Lemley, Kevin V., Richard Lafayette, G. C. Derby, et al.. (2007). Prediction of early progression in recently diagnosed IgA nephropathy. Nephrology Dialysis Transplantation. 23(1). 213–222. 20 indexed citations
3.
Lawrence, Jody, Jonathan Schapiro, Mark A. Winters, et al.. (1999). Clinical Resistance Patterns and Responses to Two Sequential Protease Inhibitor Regimens in Saquinavir and Reverse Transcriptase Inhibitor–Experienced Persons. The Journal of Infectious Diseases. 179(6). 1356–1364. 51 indexed citations
4.
Schapiro, Jonathan, Jody Lawrence, Roberto F. Speck, et al.. (1999). Resistance Mutations to Zidovudine and Saquinavir in Patients Receiving Zidovudine plus Saquinavir or Zidovudine and Zalcitabine plus Saquinavir in AIDS Clinical Trials Group 229. The Journal of Infectious Diseases. 179(1). 249–253. 9 indexed citations
5.
Efron, B.. (1997). The length heuristic for simultaneous hypothesis tests. Biometrika. 84(1). 143–157. 33 indexed citations
6.
Efron, B. & Daniel Feldman. (1991). Compliance as an Explanatory Variable in Clinical Trials. Journal of the American Statistical Association. 86(413). 9–17. 216 indexed citations
7.
Efron, B.. (1990). [The Unity and Diversity of Probability]: Comment. Statistical Science. 5(4). 1 indexed citations
8.
Leibenhaut, Mark H., R T Hoppe, B. Efron, et al.. (1989). Prognostic indicators of laparotomy findings in clinical stage I-II supradiaphragmatic Hodgkin's disease.. Journal of Clinical Oncology. 7(1). 81–91. 87 indexed citations
9.
Efron, B.. (1988). Discussion: Theoretical Comparison of Bootstrap Confidence Intervals. The Annals of Statistics. 16(3). 1 indexed citations
10.
Efron, B.. (1987). Empirical Bayes Confidence Intervals Based on Bootstrap Samples: Comment. Journal of the American Statistical Association. 82(399). 754–754. 6 indexed citations
11.
Efron, B.. (1986). Why Isn't Everyone a Bayesian?. The American Statistician. 40(1). 1–1. 68 indexed citations
12.
Efron, B.. (1986). [Why Isn't Everyone a Bayesian?]: Reply. The American Statistician. 40(1). 11–11. 24 indexed citations
13.
Efron, B.. (1986). Reply. The American Statistician. 40(1). 11–11. 1 indexed citations
14.
Efron, B.. (1986). Discussion: Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis. The Annals of Statistics. 14(4). 25 indexed citations
15.
Burnham, Kenneth P. & B. Efron. (1983). The Jackknife, the Bootstrap and Other Resampling Plans.. Biometrics. 39(3). 816–816. 190 indexed citations
16.
Efron, B. & C. Stein. (1981). The Jackknife Estimate of Variance. The Annals of Statistics. 9(3). 880 indexed citations breakdown →
17.
Efron, B.. (1979). Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics. 7(1). 11792 indexed citations breakdown →
18.
Efron, B., et al.. (1979). Surgical correction of congenital hypoplastic metatarsals. Journal of the American Podiatric Medical Association. 69(4). 241–244. 14 indexed citations
19.
Efron, B. & Carl N. Morris. (1973). Combining Possibly Related Estimation Problems. Journal of the Royal Statistical Society Series B (Statistical Methodology). 35(3). 379–402. 125 indexed citations
20.
Efron, B.. (1965). The convex hull of a random set of points. Biometrika. 52(3-4). 331–343. 188 indexed citations

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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