Jim Pitman
Impact in
- Mathematical Physics top 0.1%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 0.1%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
Papers in ⓘ
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- Stochastic processes and statistical mechanics 76
- Mathematical Dynamics and Fractals 24
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- Markov Chains and Monte Carlo Methods 15
- Co-authors
- Marc Yor (16 shared papers)Jean Picard (1 shared paper)Alexander Gnedin (8 shared papers)David Aldous (8 shared papers)Mihael Perman (1 shared paper)Priscilla E. Greenwood (5 shared papers)L. C. G. Rogers (1 shared paper)Steven N. Evans (5 shared papers)
- Journals
- The Annals of Probability (20 papers)Probability Theory and Related Fields (14 papers)Electronic Journal of Probability (13 papers)Advances in Applied Probability (12 papers)Bernoulli (6 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Jim Pitman
133 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Mathematical Physics 2.8k
- Statistics and Probability 1.8k
- Discrete Mathematics and Combinatorics 398
- Finance 1.1k
- Artificial Intelligence 2.5k
Countries citing papers authored by Jim Pitman
This map shows the geographic impact of Jim Pitman'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 Jim Pitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Pitman more than expected).
Fields of papers citing papers by Jim Pitman
This network shows the impact of papers produced by Jim Pitman. 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 Jim Pitman. The network helps show where Jim Pitman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Pitman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator Hit paper breakdown → | 1997 | 669 |
| 2 | Combinatorial Stochastic Processes Hit paper breakdown → | 2006 | 545 |
| 3 | 1995 | 324 | |
| 4 | 1999 | 300 | |
| 5 | 1982 | 233 | |
| 6 | 1992 | 200 | |
| 7 | 1999 | 138 | |
| 8 | 2001 | 123 | |
| 9 | 2006 | 118 | |
| 10 | 1981 | 111 | |
| 11 | 1974 | 105 | |
| 12 | 1993 | 101 | |
| 13 | 1975 | 90 | |
| 14 | 1996 | 90 | |
| 15 | 1998 | 89 | |
| 16 | 1995 | 80 | |
| 17 | 1986 | 79 | |
| 18 | 2002 | 79 | |
| 19 | 1980 | 72 | |
| 20 | 2002 | 71 |
About Jim Pitman
Jim Pitman is a scholar working on Mathematical Physics, Statistics and Probability, Discrete Mathematics and Combinatorics, Finance and Applied Mathematics, having authored 138 papers that have together received 5.7k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (76 papers), Bayesian Methods and Mixture Models (55 papers), Stochastic processes and financial applications (24 papers), Mathematical Dynamics and Fractals (24 papers), Markov Chains and Monte Carlo Methods (15 papers), Financial Risk and Volatility Modeling (11 papers), Advanced Combinatorial Mathematics (10 papers) and Theoretical and Computational Physics (9 papers). The work is most often cited by research in Mathematical Physics (2.8k citations), Statistics and Probability (1.8k citations), Discrete Mathematics and Combinatorics (398 citations), Finance (1.1k citations) and Artificial Intelligence (2.5k citations). Jim Pitman has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Marc Yor, Jean Picard, Alexander Gnedin, David Aldous, Mihael Perman, Priscilla E. Greenwood, L. C. G. Rogers, Steven N. Evans, Philippe Biane and Richard P. Stanley. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Electronic Journal of Probability, Advances in Applied Probability and Bernoulli.
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.