P. Priouret
Impact in
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
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- Simulation Techniques and Applications
Papers in
-
- Markov Chains and Monte Carlo Methods 4
- Statistical Methods and Inference 3
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- Stochastic processes and statistical mechanics 3
- Co-authors
- Michel Métivier (2 shared papers)Gersende Fort (4 shared papers)Pierre Vandekerkhove (2 shared papers)Éric Moulines (2 shared papers)P. A. Meyer (1 shared paper)Sean Meyn (1 shared paper)Anatoli Juditsky (1 shared paper)Lennart Ljung (1 shared paper)
- Journals
- Bernoulli (1 paper)IEEE Transactions on Information Theory (1 paper)IEEE Transactions on Automatic Control (1 paper)The Annals of Statistics (1 paper)Probability Theory and Related Fields (1 paper)
- Partner nations
- FranceChinaUnited States
In The Last Decade
P. Priouret
10 papers receiving 198 citations
Peers
Comparison fields: 5 of 42
- Statistics and Probability 89
- Management Science and Operations Research 57
- Finance 45
- Mathematical Physics 32
- Artificial Intelligence 89
Countries citing papers authored by P. Priouret
This map shows the geographic impact of P. Priouret'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 P. Priouret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Priouret more than expected).
Fields of papers citing papers by P. Priouret
This network shows the impact of papers produced by P. Priouret. 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 P. Priouret. The network helps show where P. Priouret may publish in the future.
Co-authors
The 9 scholars most cited alongside P. Priouret, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 108 | |
| 2 | 2011 | 51 | |
| 3 | 1987 | 39 | |
| 4 | 1974 | 7 | |
| 5 | 1998 | 4 | |
| 6 | 2012 | 4 | |
| 7 | 2014 | 2 | |
| 8 | 2006 | 2 | |
| 9 | 1994 | 2 | |
| 10 | 2005 | 1 |
About P. Priouret
P. Priouret is a scholar working on Statistics and Probability, Mathematical Physics, Artificial Intelligence, Finance and Signal Processing, having authored 10 papers that have together received 220 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (4 papers), Stochastic processes and statistical mechanics (3 papers), Statistical Methods and Inference (3 papers), Stochastic processes and financial applications (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Blind Source Separation Techniques (2 papers), Advanced Adaptive Filtering Techniques (2 papers) and Advanced Queuing Theory Analysis (1 paper). The work is most often cited by research in Statistics and Probability (89 citations), Management Science and Operations Research (57 citations), Finance (45 citations), Mathematical Physics (32 citations) and Artificial Intelligence (89 citations). P. Priouret has collaborated with scholars based in France, China and United States. Frequent co-authors include Michel Métivier, Gersende Fort, Pierre Vandekerkhove, Éric Moulines, P. A. Meyer, Sean Meyn, Anatoli Juditsky, Lennart Ljung and Lei Guo. Their work appears in journals such as Bernoulli, IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control, The Annals of Statistics and Probability Theory and Related Fields.
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.