David A. Freedman

18.7k total citations · 4 hit papers
168 papers, 11.1k citations indexed

About

David A. Freedman is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, David A. Freedman has authored 168 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Statistics and Probability, 31 papers in Artificial Intelligence and 20 papers in Mathematical Physics. Recurrent topics in David A. Freedman's work include Statistical Methods and Inference (23 papers), Bayesian Methods and Mixture Models (15 papers) and Bayesian Modeling and Causal Inference (14 papers). David A. Freedman is often cited by papers focused on Statistical Methods and Inference (23 papers), Bayesian Methods and Mixture Models (15 papers) and Bayesian Modeling and Causal Inference (14 papers). David A. Freedman collaborates with scholars based in United States, Canada and Poland. David A. Freedman's co-authors include Persi Diaconis, Peter J. Bickel, William Feller, Stephen C. Peters, David A. Lane, Lester E. Dubins, R. J. Serfling, Richard A. Berk, Jasjeet S. Sekhon and David P. Lane and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

David A. Freedman

159 papers receiving 9.9k citations

Hit Papers

Some Asymptotic Theory for the Bootstrap 1967 2026 1986 2006 1981 1981 1967 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Freedman United States 45 3.4k 2.2k 1.4k 1.0k 1.0k 168 11.1k
M. S. Bartlett United Kingdom 39 2.1k 0.6× 1.3k 0.6× 1.2k 0.8× 977 0.9× 481 0.5× 119 10.4k
P. A. P. Moran Australia 36 1.7k 0.5× 1.2k 0.5× 727 0.5× 938 0.9× 654 0.6× 151 13.2k
Richard L. Tweedie Australia 40 4.8k 1.4× 2.1k 1.0× 1.1k 0.8× 1.4k 1.3× 1.9k 1.9× 150 24.4k
Bernard W. Silverman United Kingdom 45 4.5k 1.3× 2.7k 1.2× 1.2k 0.8× 808 0.8× 690 0.7× 104 15.6k
I. J. Good United States 52 3.0k 0.9× 4.1k 1.9× 1.8k 1.3× 1.6k 1.6× 510 0.5× 403 16.0k
Leonard J. Savage United States 27 1.6k 0.5× 2.4k 1.1× 2.4k 1.7× 2.1k 2.0× 736 0.7× 56 10.4k
Peter Hall Australia 63 5.7k 1.7× 1.8k 0.8× 3.4k 2.5× 1.7k 1.7× 3.2k 3.1× 430 17.0k
Charles J. Stone United States 36 4.9k 1.5× 7.7k 3.5× 1.4k 1.0× 1.7k 1.7× 1.1k 1.1× 85 27.1k
Peter Whittle United Kingdom 43 1.5k 0.5× 1.4k 0.6× 1.8k 1.3× 1.9k 1.8× 1.1k 1.0× 169 9.3k
Peter J. Huber United States 26 7.2k 2.1× 2.9k 1.3× 1.8k 1.3× 1.4k 1.3× 1.2k 1.1× 70 19.7k

Countries citing papers authored by David A. Freedman

Since Specialization
Citations

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

Fields of papers citing papers by David A. Freedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Freedman. 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 David A. Freedman. The network helps show where David A. Freedman may publish in the future.

Co-authorship network of co-authors of David A. Freedman

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Freedman. A scholar is included among the top collaborators of David A. Freedman 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 David A. Freedman. David A. Freedman 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.
Kaye, David H. & David A. Freedman. (2011). Reference Guide on Statistics. SSRN Electronic Journal. 12 indexed citations
2.
Freedman, David A., David Collier, Jasjeet S. Sekhon, & Philip B. Stark. (2009). Statistical Models and Causal Inference. SSRN Electronic Journal. 18 indexed citations
3.
Freedman, David A.. (2009). Statistical Models and Causal Inference. Cambridge University Press eBooks. 38 indexed citations
4.
Freedman, David A. & Diana B. Petitti. (2005). Discussion on "Statistical Issues Arising in the Women's Health Initiative". Biometrics. 61(4). 918–920. 2 indexed citations
5.
Eaton, Morris L. & David A. Freedman. (2004). Dutch book against some `objective' priors. Bernoulli. 10(5). 10 indexed citations
6.
Freedman, David A.. (1994). Adjusting the U.S. Census of 1990: Loss Functions.. Evaluation Review. 18(3). 2 indexed citations
7.
Freedman, David A. & Jim Pitman. (1990). A measure which is singular and uniformly locally uniform. Proceedings of the American Mathematical Society. 108(2). 371–381.
8.
Diaconis, Persi & David A. Freedman. (1987). A dozen de Finetti-style results in search of a theory. UC Berkeley. 23(2). 397–423. 117 indexed citations
9.
Freedman, David A. & Stephen C. Peters. (1984). Bootstrapping a Regression Equation: Some Empirical Results. Journal of the American Statistical Association. 79(385). 97–106. 299 indexed citations
10.
Freedman, David A. & David A. Lane. (1983). A Nonstochastic Interpretation of Reported Significance Levels. Journal of Business and Economic Statistics. 1(4). 292–298. 297 indexed citations
11.
Freedman, David A. & Persi Diaconis. (1981). On the maximum deviation between the histogram and the underlying density. Probability Theory and Related Fields. 58(2). 139–167. 24 indexed citations
12.
Freedman, David A. & David A. Lane. (1981). The empirical distribution of the fourier coefficients of a sequence of independent, identically distributed long-tailed random variables. Probability Theory and Related Fields. 58(1). 21–39. 8 indexed citations
13.
Freedman, David A. & David A. Lane. (1980). The Empirical Distribution of Fourier Coefficients. The Annals of Statistics. 8(6). 30 indexed citations
14.
Diaconis, Persi & David A. Freedman. (1979). On Rounding Percentages. Journal of the American Statistical Association. 74(366a). 359–364. 27 indexed citations
15.
Freedman, David A.. (1975). Congenital and Perinatal Sensory Deprivations: Their Effect on the Capacity to Experience Affect. The Psychoanalytic Quarterly. 44(1). 62–80. 5 indexed citations
16.
Freedman, David A., et al.. (1973). In Support of SEC v. W.J. Howey Co. : A Critical Analysis of the Parameters of the Economic Relationship Between an Issuer of Securities and the Securities Purchaser. University of Miami law review. 27(3). 407. 1 indexed citations
17.
Freedman, David A.. (1967). A Remark On Sequential Discrimination. The Annals of Mathematical Statistics. 38(6). 1666–1670. 3 indexed citations
18.
Freedman, David A.. (1963). An Arcsine Law for Markov Chains. Proceedings of the American Mathematical Society. 14(4). 680–680. 1 indexed citations
19.
Freedman, David A.. (1962). Mixtures of Markov Processes. The Annals of Mathematical Statistics. 33(1). 114–118. 18 indexed citations
20.
Freedman, David A.. (1962). Invariants Under Mixing which Generalize de Finetti's Theorem. The Annals of Mathematical Statistics. 33(3). 916–923. 44 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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