Jean Picard
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
Papers in
-
- Mathematical Dynamics and Fractals 8
- Stochastic processes and statistical mechanics 6
- Numerical methods in inverse problems 5
- Finance 11
- Stochastic processes and financial applications 10
Jean Picard
57 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Mathematical Physics 397
- Statistics and Probability 238
- Finance 260
- Applied Mathematics 143
- Artificial Intelligence 375
Countries citing papers authored by Jean Picard
This map shows the geographic impact of Jean Picard'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 Jean Picard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Picard more than expected).
Fields of papers citing papers by Jean Picard
This network shows the impact of papers produced by Jean Picard. 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 Jean Picard. The network helps show where Jean Picard may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean Picard, 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 | Statistical learning theory and stochastic optimization : École d'eté de probabilités de Saint-Flour XXXI - 2001 | 2004 | 22 |
| 2 | 2004 | 32 | |
| 3 | 1997 | 17 | |
| 4 | 1996 | 114 | |
| 5 | Formules de dualité sur l'espace de Poisson | 1996 | 35 |
| 6 | 1996 | 18 | |
| 7 | Barycentres et martingales sur une variété | 1994 | 20 |
| 8 | 1993 | 15 | |
| 9 | 1992 | 19 | |
| 10 | 1991 | 16 | |
| 11 | 1986 | 35 | |
| 12 | 1986 | 1 | |
| 13 | 1984 | 12 | |
| 14 | 1984 | 10 | |
| 15 | 1981 | 7 | |
| 16 | 1979 | 41 | |
| 17 | 1964 | 1 | |
| 18 | 1954 | 16 | |
| 19 | 1953 | 5 | |
| 20 | 1951 | 7 |
About Jean Picard
Jean Picard is a scholar working on Mathematical Physics, Finance, Inorganic Chemistry, Organic Chemistry and Industrial and Manufacturing Engineering, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Mathematical Dynamics and Fractals (8 papers), Advanced Mathematical Modeling in Engineering (6 papers), Stochastic processes and statistical mechanics (6 papers), Synthesis and Catalytic Reactions (5 papers), Numerical methods in inverse problems (5 papers), Synthesis of β-Lactam Compounds (4 papers) and X-ray Diffraction in Crystallography (4 papers). The work is most often cited by research in Mathematical Physics (397 citations), Statistics and Probability (238 citations), Finance (260 citations), Applied Mathematics (143 citations) and Artificial Intelligence (375 citations). Jean Picard has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Jim Pitman, J.P. Besse, R. Chevalier, J. DUNOGUÈS, G. Baud, R. CALAS, J. M. Aizpurua, Claudio Palomo, N. Duffaut and M. Gaspérin. Their work appears in journals such as Probability Theory and Related Fields, Canadian Journal of Chemistry, Journal of Organometallic Chemistry, The Annals of Probability and Organometallics.
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.