Marco Picco

1.6k total citations
69 papers, 1.1k citations indexed

About

Marco Picco is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Marco Picco has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Condensed Matter Physics, 27 papers in Mathematical Physics and 23 papers in Statistical and Nonlinear Physics. Recurrent topics in Marco Picco's work include Theoretical and Computational Physics (55 papers), Stochastic processes and statistical mechanics (27 papers) and Complex Network Analysis Techniques (13 papers). Marco Picco is often cited by papers focused on Theoretical and Computational Physics (55 papers), Stochastic processes and statistical mechanics (27 papers) and Complex Network Analysis Techniques (13 papers). Marco Picco collaborates with scholars based in France, Italy and Spain. Marco Picco's co-authors include Jesper Lykke Jacobsen, Raoul Santachiara, Nicolas Sourlas, Leticia F. Cugliandolo, Fèlix Ritort, V. Martı́n-Mayor, Pierre Pujol, Nikolaos G. Fytas, A. Honecker and Giorgio Parisi and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

Marco Picco

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Picco France	18	825	402	306	295	212	69	1.1k
Wenan Guo China	18	816 1.0×	557 1.4×	184 0.6×	155 0.5×	117 0.6×	85	1.0k
Raimundo R. dos Santos Brazil	20	1.0k 1.2×	731 1.8×	224 0.7×	131 0.4×	176 0.8×	91	1.2k
B. Schaub United States	16	659 0.8×	449 1.1×	299 1.0×	208 0.7×	380 1.8×	42	1.1k
Yadin Y. Goldschmidt United States	20	1.2k 1.4×	578 1.4×	463 1.5×	214 0.7×	284 1.3×	74	1.5k
A. I. Sokolov Russia	18	723 0.9×	374 0.9×	150 0.5×	141 0.5×	489 2.3×	58	1.2k
F. C. Sá Barreto Brazil	18	673 0.8×	569 1.4×	370 1.2×	75 0.3×	357 1.7×	73	1.2k
O. F. de Alcantara Bonfim United States	17	568 0.7×	458 1.1×	359 1.2×	87 0.3×	150 0.7×	52	901
S. L. A. de Queiroz Brazil	17	673 0.8×	261 0.6×	270 0.9×	285 1.0×	136 0.6×	86	792
H. J. F. Knops Netherlands	21	853 1.0×	582 1.4×	212 0.7×	165 0.6×	375 1.8×	58	1.2k
S. E. Korshunov Russia	22	1.1k 1.3×	661 1.6×	105 0.3×	168 0.6×	138 0.7×	73	1.3k

Countries citing papers authored by Marco Picco

Since Specialization

Citations

This map shows the geographic impact of Marco 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 Marco Picco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Picco more than expected).

Fields of papers citing papers by Marco Picco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco 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 Marco Picco. The network helps show where Marco Picco may publish in the future.

Co-authorship network of co-authors of Marco Picco

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Picco. A scholar is included among the top collaborators of Marco 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 Marco Picco. Marco Picco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Picco, Marco, et al.. (2025). Personalised environmental Control Systems (PECS) usage thresholds: a dynamic simulation approach to assess energy, cost, and emissions saving. Energy and Built Environment.

Cugliandolo, Leticia F., et al.. (2023). Nonequilibrium critical dynamics of the two-dimensional ±J Ising model. Physical review. E. 108(6). 64131–64131. 2 indexed citations

Picco, Marco & Raoul Santachiara. (2022). On the CFT describing the spin clusters in 2 d Potts model. Journal of Statistical Mechanics Theory and Experiment. 2022(2). 23102–23102. 2 indexed citations

Corberi, Federico, et al.. (2022). How many phases nucleate in the bidimensional Potts model?. Journal of Statistical Mechanics Theory and Experiment. 2022(7). 73204–73204. 2 indexed citations

Fantozzi, Fabio, et al.. (2021). Impact of building thermal inertia in different climates using energy dynamic simulation through a simplified description model. Building Simulation Conference proceedings. 17.

Cugliandolo, Leticia F., et al.. (2021). Low-temperature universal dynamics of the bidimensional Potts model in the large q limit. arXiv (Cornell University). 4 indexed citations

Picco, Marco, et al.. (2020). Three- and four-point connectivities of two-dimensional critical Q- Potts random clusters on the torus. Journal of Statistical Mechanics Theory and Experiment. 2020(5). 53106–53106. 2 indexed citations

Picco, Marco, et al.. (2020). Two-point connectivity of two-dimensional critical Q -Potts random clusters on the torus. Journal of Statistical Mechanics Theory and Experiment. 2020(2). 23101–23101. 7 indexed citations

Fytas, Nikolaos G., et al.. (2019). On the critical exponent a of the 5D random-field Ising model. EPrints Complutense Repositorio Institucional de la UCM (Universidad Complutense de Madrid). 3 indexed citations

10.

Fytas, Nikolaos G., V. Martı́n-Mayor, Marco Picco, & Nicolas Sourlas. (2016). Phase Transitions in Disordered Systems: The Example of the Random-Field Ising Model in Four Dimensions. Physical Review Letters. 116(22). 227201–227201. 43 indexed citations

11.

Picco, Marco & Nicolas Sourlas. (2015). Diluted antiferromagnetic 3D Ising model in a field. Europhysics Letters (EPL). 109(3). 37001–37001. 8 indexed citations

12.

Picco, Marco & Nicolas Sourlas. (2014). On the phase transition of the 3D random field Ising model. 9 indexed citations

13.

Crisanti, A., Marco Picco, & Félix Ritort. (2013). Fluctuation Relation for Weakly Ergodic Aging Systems. Physical Review Letters. 110(8). 80601–80601. 9 indexed citations

14.

Picco, Marco, et al.. (2013). Frozen into stripes: Fate of the critical Ising model after a quench. Physical Review E. 88(3). 32131–32131. 20 indexed citations

15.

Picco, Marco & Raoul Santachiara. (2011). Critical interfaces and duality in the Ashkin-Teller model. Physical Review E. 83(6). 61124–61124. 5 indexed citations

16.

Jacobsen, Jesper Lykke, Pierre Le Doussal, Marco Picco, Raoul Santachiara, & Kay Jörg Wiese. (2009). Critical Interfaces in the Random-Bond Potts Model. Physical Review Letters. 102(7). 70601–70601. 17 indexed citations

17.

Picco, Marco & Raoul Santachiara. (2008). Numerical Study on Schramm-Loewner Evolution in Nonminimal Conformal Field Theories. Physical Review Letters. 100(1). 15704–15704. 9 indexed citations

18.

Jacobsen, Jesper Lykke & Marco Picco. (2002). Phase diagram and critical exponents of a Potts gauge glass. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(2). 26113–26113. 12 indexed citations

19.

Honecker, A., Marco Picco, & Pierre Pujol. (2001). Universality Class of the Nishimori Point in the 2D±JRandom-Bond Ising Model. Physical Review Letters. 87(4). 47201–47201. 71 indexed citations

20.

Parisi, Giorgio, Marco Picco, & Fèlix Ritort. (1999). Continuous phase transition in a spin-glass model without time-reversal symmetry. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(1). 58–68. 21 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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