Fabio Camilli

1.8k total citations
79 papers, 1.0k citations indexed

About

Fabio Camilli is a scholar working on Finance, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Fabio Camilli has authored 79 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Finance, 24 papers in Computational Theory and Mathematics and 24 papers in Applied Mathematics. Recurrent topics in Fabio Camilli's work include Stochastic processes and financial applications (28 papers), Mathematical Biology Tumor Growth (16 papers) and Optimization and Variational Analysis (12 papers). Fabio Camilli is often cited by papers focused on Stochastic processes and financial applications (28 papers), Mathematical Biology Tumor Growth (16 papers) and Optimization and Variational Analysis (12 papers). Fabio Camilli collaborates with scholars based in Italy, Germany and France. Fabio Camilli's co-authors include Yves Achdou, Italo Capuzzo-Dolcetta, Lars Grüne, Maurizio Falcone, Fabian Wirth, Antonio Siconolfi, Emmanuel Prados, Olivier Faugeras, Nicoletta Tchou and Alessandra Cutrı̀ and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Archive for Rational Mechanics and Analysis.

In The Last Decade

Fabio Camilli

74 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Camilli Italy 17 282 276 270 231 197 79 1.0k
Hasnaa Zidani France 18 404 1.4× 215 0.8× 187 0.7× 341 1.5× 84 0.4× 69 1.0k
E. N. Barron United States 20 657 2.3× 561 2.0× 158 0.6× 256 1.1× 94 0.5× 64 1.3k
Fuke Wu China 26 257 0.9× 405 1.5× 811 3.0× 648 2.8× 261 1.3× 119 1.9k
Sergey V. Lototsky United States 16 287 1.0× 250 0.9× 458 1.7× 232 1.0× 70 0.4× 48 996
Xunjing Li China 9 571 2.0× 479 1.7× 589 2.2× 720 3.1× 201 1.0× 19 1.6k
R. Jensen United States 15 343 1.2× 338 1.2× 117 0.4× 149 0.6× 82 0.4× 24 714
William M. McEneaney United States 19 321 1.1× 71 0.3× 228 0.8× 537 2.3× 100 0.5× 106 1.5k
Italo Capuzzo Dolcetta Italy 17 653 2.3× 622 2.3× 109 0.4× 196 0.8× 66 0.3× 52 1.1k
Bohdan Maslowski Czechia 18 383 1.4× 371 1.3× 982 3.6× 620 2.7× 184 0.9× 65 1.3k
Francesco Russo France 20 256 0.9× 265 1.0× 1.0k 3.9× 156 0.7× 111 0.6× 109 1.4k

Countries citing papers authored by Fabio Camilli

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Camilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Camilli

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Camilli. A scholar is included among the top collaborators of Fabio Camilli 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 Fabio Camilli. Fabio Camilli 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.
Camilli, Fabio, et al.. (2025). Stationary Mean Field Games on networks with sticky transition conditions. ESAIM Control Optimisation and Calculus of Variations. 31. 18–18.
2.
Camilli, Fabio, et al.. (2024). On the Quadratic Convergence of Newton’s Method for Mean Field Games with Non-separable Hamiltonian. Dynamic Games and Applications. 15(2). 534–557. 1 indexed citations
3.
Camilli, Fabio, et al.. (2023). A continuous dependence estimate for viscous Hamilton–Jacobi equations on networks with applications. Calculus of Variations and Partial Differential Equations. 63(1). 2 indexed citations
4.
Camilli, Fabio, et al.. (2022). A note on Kazdan-Warner equation on networks. IRIS Research product catalog (Sapienza University of Rome). 3 indexed citations
5.
Camilli, Fabio, et al.. (2021). A policy iteration method for mean field games. Florence Research (University of Florence). 14 indexed citations
6.
Camilli, Fabio. (2021). A quadratic mean field games model for the langevin equation. IRIS Research product catalog (Sapienza University of Rome). 3 indexed citations
7.
Camilli, Fabio, et al.. (2020). Existence and regularity results for viscous Hamilton–Jacobi equations with Caputo time-fractional derivative. IRIS Research product catalog (Sapienza University of Rome). 7 indexed citations
8.
Camilli, Fabio, et al.. (2020). A Mean Field Games Approach to Cluster Analysis. IRIS Research product catalog (Sapienza University of Rome).
9.
Camilli, Fabio, et al.. (2018). Measure-valued solutions to nonlocal transport equations on networks. Journal of Differential Equations. 264(12). 7213–7241. 5 indexed citations
10.
Camilli, Fabio, et al.. (2013). A comparison among various notions of viscosity solution for Hamilton–Jacobi equations on networks. Journal of Mathematical Analysis and Applications. 407(1). 112–118. 13 indexed citations
11.
Camilli, Fabio & F.J.G. Silva. (2012). A semi-discrete approximation for a first order mean field game problem. Networks and Heterogeneous Media. 7(2). 263–277. 18 indexed citations
12.
Camilli, Fabio, et al.. (2012). Large time behavior of weakly coupled systems of first-order Hamilton–Jacobi equations. Nonlinear Differential Equations and Applications NoDEA. 19(6). 719–749. 16 indexed citations
13.
Achdou, Yves, Fabio Camilli, & Lucilla Corrias. (2011). On numerical approximation of the Hamilton-Jacobi-transport system\n arising in high frequency approximations. arXiv (Cornell University). 4 indexed citations
14.
15.
Camilli, Fabio, et al.. (2011). On the convergence rate in multiscale homogenization of fully nonlinear elliptic problems. Networks and Heterogeneous Media. 6(1). 61–75. 3 indexed citations
16.
Camilli, Fabio, et al.. (2011). Homogenization and Vanishing Viscosity in Fully Nonlinear Elliptic Equations: Rate of Convergence Estimates. Advanced Nonlinear Studies. 11(2). 405–428. 8 indexed citations
17.
Camilli, Fabio, et al.. (2009). Randomly perturbed dynamical systems and Aubry-Mather theory. International Journal of Dynamical Systems and Differential Equations. 2(3/4). 139–139. 4 indexed citations
18.
Camilli, Fabio, Lars Grüne, & Fabian Wirth. (2001). A Generalization of Zubov's Method to Perturbed Systems. SIAM Journal on Control and Optimization. 40(2). 496–515. 62 indexed citations
19.
Camilli, Fabio. (1999). A Note on Convergence of Level Sets. Zeitschrift für Analysis und ihre Anwendungen. 18(1). 3–12. 4 indexed citations
20.
Camilli, Fabio & Maurizio Falcone. (1996). Analysis and Approximation of the Infinite Horizon Problem With Impulsive Controls. IRIS Research product catalog (Sapienza University of Rome). 4 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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