Pierre Picco
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
Papers in
-
- Stochastic processes and statistical mechanics 38
-
- Theoretical and Computational Physics 34
- Co-authors
- Anton Bovier (8 shared papers)Pablo A. Ferrari (5 shared papers)Enzo Olivieri (6 shared papers)M. Cassandro (12 shared papers)Harry Kesten (1 shared paper)Véronique Gayrard (4 shared papers)Servet Martı́nez (4 shared papers)Enza Orlandi (6 shared papers)
In The Last Decade
Pierre Picco
51 papers receiving 623 citations
Peers
Comparison fields: 5 of 51
- Mathematical Physics 391
- Condensed Matter Physics 318
- Statistics and Probability 205
- Statistical and Nonlinear Physics 131
- Finance 88
Countries citing papers authored by Pierre Picco
This map shows the geographic impact of Pierre Picco'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 Picco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Picco more than expected).
Fields of papers citing papers by Pierre Picco
This network shows the impact of papers produced by Pierre Picco. 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 Picco. The network helps show where Pierre Picco may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Picco, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 112 | |
| 2 | 1998 | 37 | |
| 3 | 1984 | 34 | |
| 4 | 1994 | 32 | |
| 5 | 1995 | 29 | |
| 6 | 1987 | 27 | |
| 7 | 1989 | 26 | |
| 8 | 1990 | 24 | |
| 9 | 1992 | 23 | |
| 10 | 1992 | 23 | |
| 11 | Small random perturbations of infinite dimensional dynamical systems and nucleation theory | 1986 | 19 |
| 12 | 1998 | 18 | |
| 13 | 1993 | 18 | |
| 14 | 1998 | 17 | |
| 15 | 1987 | 16 | |
| 16 | 1995 | 15 | |
| 17 | 1998 | 15 | |
| 18 | 1983 | 15 | |
| 19 | 2009 | 13 | |
| 20 | 1984 | 13 |
About Pierre Picco
Pierre Picco is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistical and Nonlinear Physics, Statistics and Probability and Artificial Intelligence, having authored 52 papers that have together received 668 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (38 papers), Theoretical and Computational Physics (34 papers), Markov Chains and Monte Carlo Methods (11 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Complex Systems and Time Series Analysis (5 papers), Diffusion and Search Dynamics (4 papers), Stochastic processes and financial applications (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Mathematical Physics (391 citations), Condensed Matter Physics (318 citations), Statistics and Probability (205 citations), Statistical and Nonlinear Physics (131 citations) and Finance (88 citations). Pierre Picco has collaborated with scholars based in France, Italy and Chile. Frequent co-authors include Anton Bovier, Pablo A. Ferrari, Enzo Olivieri, M. Cassandro, Harry Kesten, Véronique Gayrard, Servet Martı́nez, Enza Orlandi, Pierre Mathieu and Antonio Galves. Their work appears in journals such as Journal of Statistical Physics, Communications in Mathematical Physics, Advances in Applied Probability, The Annals of Applied Probability and The Annals of 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.