Publications

📄 M. Menci, T. Paul, S. Rossi, T. Tenna. “Numerical modeling of flocking dynamics with topological interactions”. Communications in Computational Physics, Vol. 39, No. 1, pp. 240-260. doi: 10.4208/cicp.OA-2025-0078 (2025) [paper] [preprint].

📄 E. Cristiani, N. Loy, M. Menci, A. Tosin, “Kinetic description and macroscopic limit of swarming dynamics with continuous leader–follower transitions”. Mathematics and Computers in Simulation, Vol. 228, 362-385, (2025).  [paper OA]

📄  M. Menci, R. Natalini, T. Paul. “Microscopic, kinetic and hydrodynamic models of collective motions with chemotaxis: a numerical study”. Mathematics and Mechanics of Complex Systems, Vol. 12 , No. 1, 47–83, (2024). [paper] [preprint]

📄 E. Cristiani, M. Menci, A. Malagnino and G.G. Amaro. “An all-densities pedestrian simulator based on a dynamic evaluation of the interpersonal distances”. Physica A: Statistical Mechanics and its Applications, Vol. 616, 128625, (2023). [paper OA]

📄  M. Menci, M. Papi, F. Smarrazzo. “Existence of solutions for coupled hybrid systems of differential equations for microscopic dynamics and local concentrations”. Communications on Pure and Applied Analysis,Vol.22, No.7, pp. 2146-2168 (2023). [paper]

📄 M. Menci, M. Papi, M. Porzio and F. Smarrazzo. “On a coupled hybrid system of nonlinear differential equations with a nonlocal concentration”. Journal of Differential Equations, Vol. 361, pp. 288-338 (2023). [paper]

📄 E. Cristiani, A. De Santo and M. Menci. “A Generalized Mean-Field Game Model for the Dynamics of Pedestrians with Limited Predictive Abilities”. Communications in Mathematical Sciences. Vol. 21, Number 1, pp. 65-82 (2023). [paper] [preprint]

📄 G.G.Amaro, E. Cristiani and M. Menci. “Preventing congestion in crowd dynamics caused by reversing flow”. Mathematical Modeling and Computing, Vol. 9, Number 3, pp. 555–566, (2022). [paper]  [preprint]

📄 M. Menci and M. Papi. “Hybrid systems of differential equations under exogenous information with discontinuous source term”. Nonlinear Analysis, Vol. 221,(2022). [paper]

📄 F. Cacace, M. Menci, M. Papi and V. Piemonte. “In-Silico prediction of oral drug bioavailability: a multi-boluses approach”. Medical Engineering & Physics, 98, pp. 140-150 (2021). [paper]

📄 E. Cristiani, M. Menci, M. Papi and L. Brafman. “An all-leader agent-based model for turning and flocking birds”. Journal of Mathematical Biology, 83(4), pp.1-22 (2021). [paper] [preprint]

📄 E. Di Costanzo, M. Menci, E. Messina, R. Natalini and A. Vecchio. “A hybrid model of collective motion of discrete particles under alignment and continuum chemotaxis”. Discrete & Continuous Dynamical Systems-B, 25(1), 443 (2020). [paper]

📄 M. Menci, and M. Papi. “Global solutions for a path-dependent hybrid system of di"erential equations under parabolic signal”. Nonlinear Analysis, Vol. 184, pp.172-192. (2019). [paper]

📄 M. Menci, G. Oliva, M. Papi, R. Setola and M. Zoppello. “Distributed Utility Estimation with Heterogeneous Relative Information”, IEEE Control System Letters, Vol. 2, Number 2, pp. 248-253 (2018). [paper]

📄 M. Menci, G. Oliva, M. Papi, R. Setola and A. Scala. “A Suite of Distributed Methodologies to Solve the Sparse Analytic Hierarchy Process Problem”, Proceedings of the European Control Conference, pp. 1147–1453 (2018). [paper]

📄  M. Menci, R. Natalini, T. Tenna. “Numerical study on a multi-dimensional pressureless Euler-type model with non-local interactions and chemotaxis for collective cell migration”. [preprint]. Accepted for publication in SIAM Multiscale Modelling and Simulation.

🧾 M. Menci, T. Paul and S. Rossi. “Propagation of chaos for topological models without regularity”. Accepted for publication in EMS series of Congress Reports. [preprint]

📖  G. Bretti, E. Campanile, M. Menci, R. Natalini. “A scenario-based study on hybrid PDE-ODE model for Cancer-on-Chip experiment”. Problems in Mathematical Biophysics - a volume in memory of Alberto Gandolfi. SEMA SIMAI Springer Book Chapter (2024). [book]

📖 M. Menci and G. Oliva. “Robustness vs Control in Distributed Systems”, in Biological Robustness. Emerging Perspectives from within the Life Sciences. Bertolaso, Caianiello and Serrelli Eds.,Springer, pp. 189–204 (2018). (ISBN 978-3-030-01198-7). [book]