| Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives G Albi, N Bellomo, L Fermo, SY Ha, J Kim, L Pareschi, D Poyato, J Soler Mathematical Models and Methods in Applied Sciences 29 (10), 1901-2005, 2019 | 247 | 2019 |
| Boltzmann-type control of opinion consensus through leaders G Albi, L Pareschi, M Zanella Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2014 | 134 | 2014 |
| Invisible control of self-organizing agents leaving unknown environments G Albi, M Bongini, E Cristiani, D Kalise SIAM Journal on Applied Mathematics 76 (4), 1683-1710, 2016 | 118 | 2016 |
| Kinetic description of optimal control problems and applications to opinion consensus G Albi, M Herty, L Pareschi arXiv preprint arXiv:1401.7798, 2014 | 115 | 2014 |
| Mean field control hierarchy G Albi, YP Choi, M Fornasier, D Kalise Applied Mathematics & Optimization 76, 93-135, 2017 | 109 | 2017 |
| Binary interaction algorithms for the simulation of flocking and swarming dynamics G Albi, L Pareschi Multiscale Modeling & Simulation 11 (1), 1-29, 2013 | 94 | 2013 |
| Stability analysis of flock and mill rings for second order models in swarming G Albi, D Balagué, JA Carrillo, J von Brecht SIAM Journal on Applied Mathematics 74 (3), 794-818, 2014 | 79 | 2014 |
| Modeling of self-organized systems interacting with a few individuals: from microscopic to macroscopic dynamics G Albi, L Pareschi Applied Mathematics Letters 26 (4), 397-401, 2013 | 76 | 2013 |
| Recent advances in opinion modeling: control and social influence G Albi, L Pareschi, G Toscani, M Zanella Active Particles, Volume 1: Advances in Theory, Models, and Applications, 49-98, 2017 | 72 | 2017 |
| Opinion dynamics over complex networks: kinetic modeling and numerical methods G Albi, L Pareschi, M Zanella arXiv preprint arXiv:1604.00421, 2016 | 70 | 2016 |
| Control with uncertain data of socially structured compartmental epidemic models G Albi, L Pareschi, M Zanella Journal of Mathematical Biology 82, 1-41, 2021 | 67 | 2021 |
| Uncertainty quantification in control problems for flocking models G Albi, L Pareschi, M Zanella Mathematical problems in Engineering 2015 (1), 850124, 2015 | 61 | 2015 |
| Continuum modeling of biological network formation G Albi, M Burger, J Haskovec, P Markowich, M Schlottbom Active Particles, Volume 1: Advances in Theory, Models, and Applications, 1-48, 2017 | 34 | 2017 |
| Biological transportation networks: modeling and simulation G Albi, M Artina, M Foransier, PA Markowich Analysis and Applications 14 (01), 185-206, 2016 | 34 | 2016 |
| Kinetic modelling of epidemic dynamics: social contacts, control with uncertain data, and multiscale spatial dynamics G Albi, G Bertaglia, W Boscheri, G Dimarco, L Pareschi, G Toscani, ... Predicting Pandemics in a Globally Connected World, Volume 1: Toward a …, 2022 | 33 | 2022 |
| Gradient-augmented supervised learning of optimal feedback laws using state-dependent Riccati equations G Albi, S Bicego, D Kalise IEEE Control Systems Letters 6, 836-841, 2021 | 31 | 2021 |
| On the optimal control of opinion dynamics on evolving networks G Albi, L Pareschi, M Zanella System Modeling and Optimization: 27th IFIP TC 7 Conference, CSMO 2015 …, 2016 | 31 | 2016 |
| Selective model-predictive control for flocking systems G Albi, L Pareschi Communications in Applied and Industrial Mathematics 9 (2), 4-21, 2018 | 30 | 2018 |
| Implicit-explicit multistep methods for hyperbolic systems with multiscale relaxation G Albi, G Dimarco, L Pareschi SIAM Journal on Scientific Computing 42 (4), A2402-A2435, 2020 | 25 | 2020 |
| Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty G Albi, L Pareschi, M Zanella arXiv preprint arXiv:2106.05122, 2021 | 24 | 2021 |
Lorenzo PareschiHeriot-Watt University, Edinburgh and University of FerraraZweryfikowany adres z hw.ac.uk
