Maxi San Miguel

Maximino San Miguel Ruibal


  • Campus Universitat de les Illes Balears
    E-07122 Palma de Mallorca. Spain
  • Oficina 213
  • +34 971 17 32 29
  • Contact
Fields of current interest: Statistical Physics, Stochastic processes, Nonequilibirum phenomena, Nonlinear phenomena, Spatiotemporal complexity, Complex Networks, Computational Social Sciences. Contributions also in Nonlinear and Quantum Optics, Photonics and Semiconductor lasers. Open to any creative scientific challenge.

Topics and Collaborators

Google scholar profile: maxi san miguel

ResearcherID: G-3224-2015
ORCID: 0000-0001-6237-425X

Publicacions recents

Herding and idiosyncratic choices: Nonlinearity and aging-induced transitions in the noisy voter model

Artime, Oriol; Carro, Adrián; F. Peralta, Antonio; Ramasco, José J.; San Miguel, Maxi; Toral, Raúl .
Comptes Rendus Physique 20, 262-274 (2019)

Absorbing phase transition in the coupled dynamics of node and link states in random networks

Meghdad Saeedian , Maxi San Miguel, and Raul Toral
Scientific Reports 9, 9726 (2019)

Chimera and anticoordination states in learning dynamics

Lugo, Haydée; González-Avella, Juan Carlos; San Miguel, Maxi
Frontiers in Applied Mathematics and Statistics 5, 16 (2019)

Multilayer coevolution dynamics of the nonlinear voter model

Min, Byungjoon; San Miguel, Maxi
New Journal of Physics 21, 035004 (2019)

Coordination in a skeptical two-group population

González-Avella, Juan Carlos; Lugo, Haydée; San Miguel, Maxi
Journal of Economic Interaction and Coordination 14, 203-214 (2019)

Projectes de recerca recents i vigents


Physics approach to complexity in sociotechnical systems

I.P.: Sandro Meloni, Jose Javier Ramasco, Maxi San Miguel, Raúl Toral
This project, Physics approach to complexity in sociotechnical systems (PACSS), wants to contribute to the understanding of sociotechnical phenomena from the perspective provided by the application of the modern field of complex ...


European Cooperation for Statistics of Network Data Science

I.P.: Maxi San Miguel
A major challenge in many modern economic, epidemiological, ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed ...

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