David A. Freedman
- Statistics and Probability top 0.05%
- Artificial Intelligence top 0.5%
- Economics and Econometrics top 0.5%
- Management Science and Operations Research top 0.5%
- Finance top 0.5%
- Co-authors
- Persi DiaconisPeter J. BickelWilliam FellerStephen C. PetersDavid A. LaneLester E. DubinsR. J. SerflingRichard A. Berk
- Topics
- Statistical Methods and Inference (23 papers)Bayesian Methods and Mixture Models (15 papers)Bayesian Modeling and Causal Inference (14 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaPoland
In The Last Decade
David A. Freedman
159 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 227
- Statistics and Probability 3.4k
- Artificial Intelligence 2.2k
- Economics and Econometrics 1.4k
- Management Science and Operations Research 1.0k
- Finance 1.0k
Countries citing papers authored by David A. Freedman
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | Reference Guide on Statistics | 12 |
| 3 | 38 | |
| 4 | Statistical Models and Causal Inference | 18 |
| 5 | 251 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | Adjusting the U.S. Census of 1990: Loss Functions. | 2 |
| 9 | 15 | |
| 10 | 0 | |
| 11 | A dozen de Finetti-style results in search of a theory | 117 |
| 12 | 299 | |
| 13 | 297 | |
| 14 | 24 | |
| 15 | 30 | |
| 16 | 27 | |
| 17 | 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 | 1 |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 18 |
About David A. Freedman
David A. Freedman is a scholar working on Statistics and Probability, Mathematical Physics and Theoretical Computer Science, having authored 168 papers that have together received 11.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Bayesian Methods and Mixture Models (15 papers) and Bayesian Modeling and Causal Inference (14 papers). The work is most often cited by research in Statistics and Probability (3.4k citations), Mathematical Physics (938 citations) and Finance (1.0k citations). David A. Freedman has collaborated with scholars based in United States, Canada and Poland. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.