Heterophilious dynamics enhances consensus S Motsch, E Tadmor SIAM review 56 (4), 577-621, 2014 | 564 | 2014 |
A new model for self-organized dynamics and its flocking behavior S Motsch, E Tadmor Journal of Statistical Physics 144, 923-947, 2011 | 433 | 2011 |
Continuum limit of self-driven particles with orientation interaction P Degond, S Motsch Mathematical Models and Methods in Applied Sciences 18 (supp01), 1193-1215, 2008 | 391 | 2008 |
Large scale dynamics of the persistent turning walker model of fish behavior P Degond, S Motsch Journal of Statistical Physics 131, 989-1021, 2008 | 223 | 2008 |
Mechanisms of glioma formation: iterative perivascular glioma growth and invasion leads to tumor progression, VEGF-independent vascularization, and resistance to antiangiogenic … GJ Baker, VN Yadav, S Motsch, C Koschmann, AA Calinescu, Y Mineharu, ... Neoplasia 16 (7), 543-561, 2014 | 173 | 2014 |
Analyzing fish movement as a persistent turning walker J Gautrais, C Jost, M Soria, A Campo, S Motsch, R Fournier, S Blanco, ... Journal of mathematical biology 58, 429-445, 2009 | 169 | 2009 |
Hydrodynamic models of self-organized dynamics: derivation and existence theory P Degond, JG Liu, S Motsch, V Panferov arXiv preprint arXiv:1108.3160, 2011 | 99 | 2011 |
Clustering and asymptotic behavior in opinion formation PE Jabin, S Motsch Journal of Differential Equations 257 (11), 4165-4187, 2014 | 98 | 2014 |
Macroscopic limit of self-driven particles with orientation interaction P Degond, S Motsch Comptes Rendus Mathematique 345 (10), 555-560, 2007 | 97 | 2007 |
Random integrals and correctors in homogenization G Bal, J Garnier, S Motsch, V Perrier Asymptotic Analysis 59 (1-2), 1-26, 2008 | 81 | 2008 |
Two-way multi-lane traffic model for pedestrians in corridors C Appert-Rolland, P Degond, S Motsch arXiv preprint arXiv:1105.0203, 2011 | 64 | 2011 |
Trail formation based on directed pheromone deposition E Boissard, P Degond, S Motsch Journal of mathematical biology 66, 1267-1301, 2013 | 53 | 2013 |
Spatiotemporal analysis of glioma heterogeneity reveals COL1A1 as an actionable target to disrupt tumor progression A Comba, SM Faisal, PJ Dunn, AE Argento, TC Hollon, WN Al-Holou, ... Nature communications 13 (1), 3606, 2022 | 52 | 2022 |
Uncovering spatiotemporal heterogeneity of high-grade gliomas: From disease biology to therapeutic implications A Comba, SM Faisal, ML Varela, T Hollon, WN Al-Holou, Y Umemura, ... Frontiers in oncology 11, 703764, 2021 | 41 | 2021 |
A macroscopic model for a system of swarming agents using curvature control P Degond, S Motsch Journal of Statistical Physics 143, 685-714, 2011 | 36 | 2011 |
Numerical simulations of a nonconservative hyperbolic system with geometric constraints describing swarming behavior S Motsch, L Navoret Multiscale Modeling & Simulation 9 (3), 1253-1275, 2011 | 33 | 2011 |
Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation S Jamous, A Comba, PR Lowenstein, S Motsch PLoS computational biology 16 (5), e1007611, 2020 | 29 | 2020 |
Macroscopic models of collective motion and self-organization P Degond, A Frouvelle, JG Liu, S Motsch, L Navoret Séminaire Laurent Schwartz—EDP et Applications, 1-27, 2012 | 23 | 2012 |
From short-range repulsion to Hele-Shaw problem in a model of tumor growth S Motsch, D Peurichard Journal of mathematical biology 76, 205-234, 2018 | 20 | 2018 |
Swarming in bounded domains D Armbruster, S Motsch, A Thatcher Physica D: Nonlinear Phenomena 344, 58-67, 2017 | 18 | 2017 |