Leonard J. Savage
- Artificial Intelligence top 0.5%
- Economics and Econometrics top 0.2%
- General Decision Sciences top 0.05%
- Management Science and Operations Research top 0.1%
- Statistics and Probability top 0.1%
- Co-authors
- I. J. GoodD. V. LindleyWard EdwardsHarold R. LindmanUlf GrenanderGábor SzegőEdwin HewittJames H. Lorie
- Topics
- Decision-Making and Behavioral Economics (5 papers)Bayesian Methods and Mixture Models (4 papers)Bayesian Modeling and Causal Inference (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationPsychological Review
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Leonard J. Savage
52 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Artificial Intelligence 2.4k
- Economics and Econometrics 2.4k
- General Decision Sciences 2.2k
- Management Science and Operations Research 2.1k
- Statistics and Probability 1.6k
Countries citing papers authored by Leonard J. Savage
This map shows the geographic impact of Leonard J. Savage'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 Leonard J. Savage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard J. Savage more than expected).
Fields of papers citing papers by Leonard J. Savage
This network shows the impact of papers produced by Leonard J. Savage. 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 Leonard J. Savage. The network helps show where Leonard J. Savage may publish in the future.
Co-authorship network of co-authors of Leonard J. Savage
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard J. Savage. A scholar is included among the top collaborators of Leonard J. Savage 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 Leonard J. Savage. Leonard J. Savage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | The Foundations of Statisticsbreakdown → | 1108 |
| 6 | 145 | |
| 7 | 6 | |
| 8 | Probabilité personnelle et induction | 1 |
| 9 | 27 | |
| 10 | 25 | |
| 11 | 14 | |
| 12 | The Foundations of Statistics Reconsidered | 79 |
| 13 | 4 | |
| 14 | 2 | |
| 15 | Toeplitz Forms and Their Applications.breakdown → | 805 |
| 16 | 2 | |
| 17 | 74 | |
| 18 | 365 | |
| 19 | 4 | |
| 20 | 11 |
About Leonard J. Savage
Leonard J. Savage is a scholar working on General Decision Sciences, Statistics and Probability and History and Philosophy of Science, having authored 56 papers that have together received 10.4k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (5 papers), Bayesian Methods and Mixture Models (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in General Decision Sciences (2.2k citations), History and Philosophy of Science (1.1k citations) and Statistics and Probability (1.6k citations). Leonard J. Savage has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include I. J. Good, D. V. Lindley, Ward Edwards, Harold R. Lindman, Ulf Grenander, Gábor Szegő, Edwin Hewitt, James H. Lorie, Lester E. Dubins and Milton Friedman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Psychological Review.
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.