Francesco Caravenna

799 total citations
31 papers, 335 citations indexed

About

Francesco Caravenna is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistics and Probability. According to data from OpenAlex, Francesco Caravenna has authored 31 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mathematical Physics, 17 papers in Condensed Matter Physics and 17 papers in Statistics and Probability. Recurrent topics in Francesco Caravenna's work include Stochastic processes and statistical mechanics (24 papers), Theoretical and Computational Physics (17 papers) and Markov Chains and Monte Carlo Methods (14 papers). Francesco Caravenna is often cited by papers focused on Stochastic processes and statistical mechanics (24 papers), Theoretical and Computational Physics (17 papers) and Markov Chains and Monte Carlo Methods (14 papers). Francesco Caravenna collaborates with scholars based in Italy, France and Singapore. Francesco Caravenna's co-authors include Rongfeng Sun, Nikos Zygouras, Loïc Chaumont, Lorenzo Zambotti, Giambattista Giacomin, Frank den Hollander, Massimiliano Gubinelli, Paolo Dai Pra, Fabio Lucio Toninelli and Erwin Bolthausen and has published in prestigious journals such as Communications in Mathematical Physics, Transactions of the American Mathematical Society and Inventiones mathematicae.

In The Last Decade

Francesco Caravenna

29 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Caravenna Italy 11 297 187 158 88 28 31 335
Thomas Duquesne France 10 304 1.0× 130 0.7× 120 0.8× 53 0.6× 47 1.7× 20 326
Rongfeng Sun Singapore 11 315 1.1× 212 1.1× 183 1.2× 79 0.9× 6 0.2× 35 359
Nikos Zygouras United Kingdom 9 276 0.9× 214 1.1× 133 0.8× 61 0.7× 6 0.2× 24 316
Augusto Teixeira Brazil 11 293 1.0× 202 1.1× 139 0.9× 17 0.2× 17 0.6× 26 311
Amine Asselah France 10 188 0.6× 96 0.5× 74 0.5× 22 0.3× 15 0.5× 39 222
Sylvie Rœlly France 11 230 0.8× 98 0.5× 91 0.6× 125 1.4× 16 0.6× 37 316
Nathanaël Enriquez France 9 147 0.5× 85 0.5× 45 0.3× 48 0.5× 17 0.6× 30 204
Brigitte Chauvin France 8 204 0.7× 61 0.3× 76 0.5× 56 0.6× 19 0.7× 15 245
Jean-François Le Gall France 4 196 0.7× 74 0.4× 62 0.4× 28 0.3× 25 0.9× 4 226
Enrique D. Andjel Brazil 10 329 1.1× 234 1.3× 203 1.3× 27 0.3× 13 0.5× 31 366

Countries citing papers authored by Francesco Caravenna

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Caravenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Caravenna

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Caravenna. A scholar is included among the top collaborators of Francesco Caravenna 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 Francesco Caravenna. Francesco Caravenna 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.
Caravenna, Francesco, et al.. (2025). Quasi-critical fluctuations for 2D directed polymers. The Annals of Applied Probability. 35(4).
2.
Caravenna, Francesco, et al.. (2024). Hairer’s multilevel Schauder estimates without regularity structures. Transactions of the American Mathematical Society. 1 indexed citations
3.
Caravenna, Francesco, et al.. (2023). An example of singular elliptic stochastic PDE. Matemática Contemporânea. 58(2).
4.
Caravenna, Francesco, Rongfeng Sun, & Nikos Zygouras. (2023). The critical 2d stochastic heat flow is not a Gaussian multiplicative chaos. The Annals of Probability. 51(6). 4 indexed citations
5.
Caravenna, Francesco, Rongfeng Sun, & Nikos Zygouras. (2023). The critical 2d Stochastic Heat Flow. Inventiones mathematicae. 233(1). 325–460. 17 indexed citations
6.
Caravenna, Francesco, et al.. (2022). Gaussian limits for subcritical chaos. Electronic Journal of Probability. 27(none). 5 indexed citations
7.
Caravenna, Francesco & Frank den Hollander. (2021). Phase transitions for spatially extended pinning. BOA (University of Milano-Bicocca). 1 indexed citations
8.
Caravenna, Francesco & Lorenzo Zambotti. (2021). Hairer’s reconstruction theorem without regularity structures. HAL (Le Centre pour la Communication Scientifique Directe). 7(2). 207–251. 14 indexed citations
9.
Caravenna, Francesco, Rongfeng Sun, & Nikos Zygouras. (2020). The two-dimensional KPZ equation in the entire subcritical regime. BOA (University of Milano-Bicocca). 40 indexed citations
10.
Caravenna, Francesco, Rongfeng Sun, & Nikos Zygouras. (2019). The dickman subordinator, renewal theorems, and disordered systems. BOA (University of Milano-Bicocca). 18 indexed citations
11.
Caravenna, Francesco, Rongfeng Sun, & Nikos Zygouras. (2017). Universality in marginally relevant disordered systems. The Annals of Applied Probability. 27(5). 46 indexed citations
12.
Caravenna, Francesco, Rongfeng Sun, & Nikos Zygouras. (2016). Polynomial chaos and scaling limits of disordered systems. Journal of the European Mathematical Society. 19(1). 1–65. 50 indexed citations
13.
Caravenna, Francesco, Rongfeng Sun, & Nikos Zygouras. (2014). The continuum disordered pinning model. Probability Theory and Related Fields. 164(1-2). 17–59. 15 indexed citations
14.
Caravenna, Francesco, et al.. (2013). The Critical Curves of the Random Pinning and Copolymer Models at Weak Coupling. Communications in Mathematical Physics. 326(2). 507–530. 8 indexed citations
15.
Caravenna, Francesco, et al.. (2012). Scaling and Multiscaling in Financial Series: A Simple Model. Advances in Applied Probability. 44(4). 1018–1051. 5 indexed citations
16.
Caravenna, Francesco, et al.. (2012). Scaling and Multiscaling in Financial Series: A Simple Model. Advances in Applied Probability. 44(4). 1018–1051. 1 indexed citations
17.
Caravenna, Francesco, et al.. (2012). The discrete-time parabolic Anderson model with heavy-tailed potential. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 48(4). 1 indexed citations
18.
Caravenna, Francesco, et al.. (2011). Lectures on random polymers. arXiv (Cornell University). 15. 319–393. 2 indexed citations
19.
Bolthausen, Erwin, et al.. (2008). The quenched critical point of a diluted disordered polymer model. Stochastic Processes and their Applications. 119(5). 1479–1504. 3 indexed citations
20.
Giacomin, Giambattista, Francesco Caravenna, & Massimiliano Gubinelli. (2006). A numerical approach to copolymers at selective interfaces. HAL (Le Centre pour la Communication Scientifique Directe). 10 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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