Pierre Picco
- Mathematical Physics top 2%
- Condensed Matter Physics top 5%
- Statistics and Probability top 2%
- Statistical and Nonlinear Physics top 5%
- Finance top 10%
- Co-authors
- Anton BovierPablo A. FerrariEnzo OlivieriHarry KestenM. CassandroVéronique GayrardServet Martı́nezEnza Orlandi
- Topics
- Stochastic processes and statistical mechanics (35 papers)Theoretical and Computational Physics (31 papers)Markov Chains and Monte Carlo Methods (11 papers)
In The Last Decade
Pierre Picco
45 papers receiving 531 citations
Peers
Comparison fields: 5 of 48
- Mathematical Physics 337
- Condensed Matter Physics 264
- Statistics and Probability 175
- Statistical and Nonlinear Physics 108
- Finance 84
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-authorship network of co-authors of Pierre Picco
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Picco. A scholar is included among the top collaborators of Pierre Picco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pierre Picco. Pierre Picco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | Weak large deviations principle for one dimensional random field Kac model | 1 |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 15 | |
| 13 | Artificial neural networks. A review from physical and mathematical points of view | 2 |
| 14 | 27 | |
| 15 | 3 | |
| 16 | 19 | |
| 17 | 10 | |
| 18 | Dynamical phase transitions in disordered systems : the study of a random walk model | 2 |
| 19 | 20 | |
| 20 | Small random perturbations of infinite dimensional dynamical systems and nucleation theory | 16 |
About Pierre Picco
Pierre Picco is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistics and Probability, having authored 48 papers that have together received 570 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (35 papers), Theoretical and Computational Physics (31 papers) and Markov Chains and Monte Carlo Methods (11 papers). The work is most often cited by research in Mathematical Physics (337 citations), Condensed Matter Physics (264 citations) and Statistics and Probability (175 citations). Pierre Picco has collaborated with scholars based in France, Italy and Chile. Frequent co-authors include Anton Bovier, Pablo A. Ferrari, Enzo Olivieri, Harry Kesten, M. Cassandro, Véronique Gayrard, Servet Martı́nez, Enza Orlandi, Pierre Mathieu and Servet Martı́nez. Their work appears in journals such as Communications in Mathematical Physics, Physics Letters A and Solid State Communications.
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.