Pierre Priouret
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods 3
- Signal Processing top 5%
- Blind Source Separation Techniques 2
- Artificial Intelligence top 2%
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- Probability and Risk Models 1
- Finance top 5%
- Stochastic processes and financial applications 3
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- Advanced Adaptive Filtering Techniques 2
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- Insurance, Mortality, Demography, Risk Management 2
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- Control Systems and Identification 2
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- Probabilistic and Robust Engineering Design 2
- Co-authors
- Albert BenvenisteÉric MoulinesChristophe AndrieuLennart LjungJean-Michel BonyPhilippe SoulierRandal DoucLei Guo
- Journals
- SIAM Journal on Control and Optimization (2 papers)Probability Theory and Related Fields (1 paper)The Annals of Applied Probability (1 paper)
- Partner nations
- FranceSwedenUnited States
In The Last Decade
Pierre Priouret
16 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Statistics and Probability 329
- Signal Processing 250
- Artificial Intelligence 682
- Management Science and Operations Research 242
- Finance 185
Countries citing papers authored by Pierre Priouret
This map shows the geographic impact of Pierre 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 Pierre Priouret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Priouret more than expected).
Fields of papers citing papers by Pierre Priouret
This network shows the impact of papers produced by Pierre 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 Pierre Priouret. The network helps show where Pierre Priouret may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Pierre 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 | 2018 | 84 | |
| 2 | 2008 | 12 | |
| 3 | ODE methods for skip-free Markov chain stability with applications to MCMC | 2006 | 5 |
| 4 | 2005 | 119 | |
| 5 | 2002 | 7 | |
| 6 | Martingales and Markov Chains: Solved Exercises and Elements of Theory | 2002 | 4 |
| 7 | 2000 | 7 | |
| 8 | Martingales et chaînes de Markov | 1998 | 1 |
| 9 | 1993 | 57 | |
| 10 | 1991 | 24 | |
| 11 | 1991 | 8 | |
| 12 | Adaptive Algorithms and Stochastic Approximationsbreakdown → | 1990 | 1300 |
| 13 | 1986 | 1 | |
| 14 | 1982 | 16 | |
| 15 | Processus de Markov sur une variété à bord compacte | 1968 | 4 |
| 16 | 1968 | 89 | |
| 17 | Axiomatique du problème de Dirichlet et processus de Markov | 1964 | 4 |
About Pierre Priouret
Pierre Priouret is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (3 papers), Stochastic processes and financial applications (3 papers), Advanced Adaptive Filtering Techniques (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Control Systems and Identification (2 papers), Probabilistic and Robust Engineering Design (2 papers), Blind Source Separation Techniques (2 papers) and Probability and Risk Models (1 paper). The work is most often cited by research in Statistics and Probability (329 citations), Signal Processing (250 citations) and Artificial Intelligence (682 citations). Pierre Priouret has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include Albert Benveniste, Éric Moulines, Christophe Andrieu, Lennart Ljung, Jean-Michel Bony, Philippe Soulier, Randal Douc, Lei Guo, Halim Doss and Gersende Fort. Their work appears in journals such as SIAM Journal on Control and Optimization, Probability Theory and Related Fields and The Annals of Applied Probability.
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.