Pierre Picco

977 total citations
48 papers, 570 citations indexed

About

Pierre Picco is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistics and Probability. According to data from OpenAlex, Pierre Picco has authored 48 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mathematical Physics, 31 papers in Condensed Matter Physics and 12 papers in Statistics and Probability. Recurrent topics in Pierre Picco's work include Stochastic processes and statistical mechanics (35 papers), Theoretical and Computational Physics (31 papers) and Markov Chains and Monte Carlo Methods (11 papers). Pierre Picco is often cited by papers focused on Stochastic processes and statistical mechanics (35 papers), Theoretical and Computational Physics (31 papers) and Markov Chains and Monte Carlo Methods (11 papers). Pierre Picco collaborates with scholars based in France, Italy and Chile. Pierre Picco's 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 and has published in prestigious journals such as Communications in Mathematical Physics, Physics Letters A and Solid State Communications.

In The Last Decade

Pierre Picco

45 papers receiving 531 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pierre Picco France 15 337 264 175 108 84 48 570
Francis Comets France 15 580 1.7× 344 1.3× 438 2.5× 79 0.7× 69 0.8× 51 749
Jǐŕı Černý Switzerland 12 318 0.9× 252 1.0× 198 1.1× 72 0.7× 35 0.4× 30 471
Paolo Dai Pra Italy 14 208 0.6× 118 0.4× 162 0.9× 176 1.6× 165 2.0× 58 681
Jürgen Gärtner Germany 15 560 1.7× 256 1.0× 310 1.8× 221 2.0× 311 3.7× 30 1.0k
Jean-Dominique Deuschel Germany 15 446 1.3× 175 0.7× 271 1.5× 83 0.8× 111 1.3× 25 610
Maria Eulália Vares Brazil 11 320 0.9× 233 0.9× 182 1.0× 162 1.5× 50 0.6× 50 459
Luiz Renato Fontes Brazil 15 571 1.7× 373 1.4× 343 2.0× 101 0.9× 81 1.0× 55 673
Philippe Carmona France 14 281 0.8× 93 0.4× 152 0.9× 61 0.6× 282 3.4× 28 615
Véronique Gayrard France 10 229 0.7× 224 0.8× 129 0.7× 161 1.5× 21 0.3× 21 458
Frank Redig Netherlands 14 449 1.3× 317 1.2× 270 1.5× 270 2.5× 31 0.4× 60 679

Countries citing papers authored by Pierre Picco

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Picco, Pierre, et al.. (2017). Quasi-additive estimates on the Hamiltonian for the one-dimensional long range Ising model. Journal of Mathematical Physics. 58(7).
2.
Cassandro, M., et al.. (2014). One-Dimensional Ising Models with Long Range Interactions: Cluster Expansion, Phase-Separating Point. Communications in Mathematical Physics. 327(3). 951–991. 3 indexed citations
3.
Picco, Pierre & Enza Orlandi. (2009). One-dimensional random field Kac's model: weak large deviations principle. Electronic Journal of Probability. 14(none). 1 indexed citations
4.
Picco, Pierre, et al.. (2009). Weak large deviations principle for one dimensional random field Kac model. 14. 1372–1416. 1 indexed citations
5.
Cassandro, M., Enza Orlandi, & Pierre Picco. (2009). Phase Transition in the 1d Random Field Ising Model with Long Range Interaction. Communications in Mathematical Physics. 288(2). 731–744. 12 indexed citations
6.
Kratz, Marie & Pierre Picco. (2004). A representation of Gibbs measure for the random energy model. The Annals of Applied Probability. 14(2).
7.
Picco, Pierre & Jaime San Martı́n. (2003). From classical to modern probability : CIMPA Summer School 2001. CERN Document Server (European Organization for Nuclear Research).
8.
Cassandro, M., Enza Orlandi, & Pierre Picco. (1999). Typical Configurations for One-Dimensional Random Field Kac Model. The Annals of Probability. 27(3). 11 indexed citations
9.
Mathieu, Pierre & Pierre Picco. (1998). Metastability and Convergence to Equilibrium for the Random Field Curie–Weiss Model. Journal of Statistical Physics. 91(3-4). 679–732. 17 indexed citations
10.
Buttà, Paolo & Pierre Picco. (1998). Large-Deviation Principle for One-Dimensional Vector Spin Models with Kac Potentials. Journal of Statistical Physics. 92(1-2). 101–150. 3 indexed citations
11.
Fontes, Luiz Renato, Marco Isopi, Yoshiharu Kohayakawa, & Pierre Picco. (1998). The spectral gap of the REM under Metropolis dynamics. The Annals of Applied Probability. 8(3). 13 indexed citations
12.
Martı́nez, Servet, Pierre Picco, & Jaime San Martı́n. (1998). Domain of attraction of quasi-stationary distributions for the brownian motion with drift. Advances in Applied Probability. 30(2). 385–408. 15 indexed citations
13.
Picco, Pierre. (1996). Artificial neural networks. A review from physical and mathematical points of view. French digital mathematics library (Numdam). 64(3). 289–307. 2 indexed citations
14.
Bovier, Anton, Véronique Gayrard, & Pierre Picco. (1994). Gibbs states of the Hopfield model in the regime of perfect memory. Probability Theory and Related Fields. 100(3). 329–363. 27 indexed citations
15.
Olivieri, Enzo, Pierre Picco, & Yu. M. Suhov. (1993). On the Gibbs states for one-dimensional lattice Boson systems with a long-range interaction. Journal of Statistical Physics. 70(3-4). 985–1028. 3 indexed citations
16.
Ferrari, Pablo A., Servet Martı́nez, & Pierre Picco. (1992). Existence of non-trivial quasi-stationary distributions in the birth-death chain. Advances in Applied Probability. 24(4). 795–813. 19 indexed citations
17.
Ferrari, Pablo A., et al.. (1992). A lower bound for the memory capacity in the Potts-Hopfield model. Journal of Statistical Physics. 66(5-6). 1643–1652. 10 indexed citations
18.
Cassandro, M., Antonio Galves, & Pierre Picco. (1991). Dynamical phase transitions in disordered systems : the study of a random walk model. French digital mathematics library (Numdam). 55(2). 689–705. 2 indexed citations
19.
Olivieri, Enzo & Pierre Picco. (1990). Cluster expansion ford-dimensional lattice systems and finite-volume factorization properties. Journal of Statistical Physics. 59(1-2). 221–256. 20 indexed citations
20.
Cassandro, M., Enzo Olivieri, & Pierre Picco. (1986). Small random perturbations of infinite dimensional dynamical systems and nucleation theory. French digital mathematics library (Numdam). 44(4). 343–396. 16 indexed citations

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.

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