M. San Miguel

19.0k total citations · 3 hit papers
292 papers, 9.3k citations indexed

About

M. San Miguel is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, M. San Miguel has authored 292 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Statistical and Nonlinear Physics, 94 papers in Atomic and Molecular Physics, and Optics and 91 papers in Computer Networks and Communications. Recurrent topics in M. San Miguel's work include Nonlinear Dynamics and Pattern Formation (88 papers), Opinion Dynamics and Social Influence (68 papers) and Semiconductor Lasers and Optical Devices (55 papers). M. San Miguel is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (88 papers), Opinion Dynamics and Social Influence (68 papers) and Semiconductor Lasers and Optical Devices (55 papers). M. San Miguel collaborates with scholars based in Spain, United States and Italy. M. San Miguel's co-authors include Vı́ctor M. Eguı́luz, J. M. Sancho, Raúl Toral, J. D. Gunton, Pere Colet, Martín Zimmermann, Jerome V. Moloney, J. Martín-Regalado, Quanyuan Feng and N. B. Abraham and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

M. San Miguel

284 papers receiving 9.0k citations

Hit Papers

Light-polarization dynamics in surface-emitting semicondu... 1982 2026 1996 2011 1995 1982 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. San Miguel Spain 47 4.9k 2.4k 2.2k 2.1k 1.8k 292 9.3k
Susan R. McKay United States 28 2.3k 0.5× 2.1k 0.9× 1.4k 0.6× 884 0.4× 375 0.2× 87 13.7k
Ying‐Cheng Lai United States 60 9.4k 1.9× 1.5k 0.6× 5.6k 2.6× 1.0k 0.5× 1.5k 0.9× 495 16.3k
T. Geisel Germany 45 4.0k 0.8× 1.9k 0.8× 1.8k 0.8× 702 0.3× 236 0.1× 194 9.2k
Kimmo Kaski Finland 55 4.5k 0.9× 785 0.3× 1.1k 0.5× 668 0.3× 1.1k 0.6× 375 12.2k
G. Nìcolis Belgium 47 5.4k 1.1× 1.7k 0.7× 3.7k 1.7× 407 0.2× 410 0.2× 256 12.4k
Yuri A. Kuznetsov Russia 47 4.5k 0.9× 780 0.3× 4.5k 2.1× 1.0k 0.5× 682 0.4× 254 14.4k
Damián H. Zanette Argentina 33 2.5k 0.5× 761 0.3× 1.1k 0.5× 489 0.2× 567 0.3× 164 4.5k
Piet Van Mieghem Netherlands 48 5.1k 1.0× 344 0.1× 3.0k 1.4× 1.5k 0.7× 638 0.4× 271 10.6k
James P. Crutchfield United States 45 4.7k 1.0× 1.0k 0.4× 2.3k 1.0× 457 0.2× 653 0.4× 195 11.4k
Daniel T. Gillespie United States 34 3.0k 0.6× 1.3k 0.5× 760 0.3× 809 0.4× 505 0.3× 78 19.0k

Countries citing papers authored by M. San Miguel

Since Specialization
Citations

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

Fields of papers citing papers by M. San Miguel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. San Miguel. 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 M. San Miguel. The network helps show where M. San Miguel may publish in the future.

Co-authorship network of co-authors of M. San Miguel

This figure shows the co-authorship network connecting the top 25 collaborators of M. San Miguel. A scholar is included among the top collaborators of M. San Miguel 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 M. San Miguel. M. San Miguel 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.
Miguel, M. San, et al.. (2025). Entropy and type-token ratio in gigaword corpora. Physical Review Research. 7(3).
2.
Lee, Deok‐Sun, et al.. (2025). Competition between group interactions and nonlinearity in voter dynamics on hypergraphs. Physical review. E. 111(5). L052301–L052301. 4 indexed citations
3.
Vázquez, Federico, et al.. (2024). Ordering dynamics of nonlinear voter models. Physical review. E. 109(3). 34307–34307. 7 indexed citations
4.
González-Avella, Juan Carlos, et al.. (2024). Ordering dynamics and aging in the symmetrical threshold model. New Journal of Physics. 26(1). 13033–13033. 2 indexed citations
5.
Argyris, Apostolos, Emilio Hernández-Garcı́a, & M. San Miguel. (2024). A cross-disciplinary research framework at institution level and beyond. Nature Communications. 15(1). 10399–10399. 1 indexed citations
6.
Miguel, M. San, et al.. (2023). Modeling language ideologies for the dynamics of languages in contact. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(11). 1 indexed citations
7.
Miguel, M. San, et al.. (2023). Aging in binary-state models: The Threshold model for complex contagion. Physical review. E. 107(2). 24101–24101. 8 indexed citations
8.
Miguel, M. San, et al.. (2023). Partisan voter model: Stochastic description and noise-induced transitions. Physical review. E. 108(5). 3 indexed citations
9.
Bianconi, Ginestra, Àlex Arenas, Jacob Biamonte, et al.. (2023). Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics. Journal of Physics Complexity. 4(1). 10201–10201. 48 indexed citations
10.
Min, Byungjoon & M. San Miguel. (2023). Threshold Cascade Dynamics in Coevolving Networks. Entropy. 25(6). 929–929. 8 indexed citations
11.
Miguel, M. San, et al.. (2022). Local and global ordering dynamics in multistate voter models. Physical review. E. 106(5). 54307–54307. 7 indexed citations
12.
González-Avella, Juan Carlos, et al.. (2020). Local connectivity effects in learning and coordination dynamics in a two-layer network. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(8). 83125–83125. 7 indexed citations
13.
Miguel, M. San & Raúl Toral. (2020). Introduction to the chaos focus issue on the dynamics of social systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(12). 120401–120401. 10 indexed citations
14.
Higueras, Inmaculada, et al.. (2006). Central limit theorems for generalized Pólya urn models. Journal of Applied Probability. 43(4). 938–951. 10 indexed citations
15.
Higueras, Inmaculada, et al.. (2006). Central limit theorems for generalized Pólya urn models. Journal of Applied Probability. 43(4). 938–951.
16.
Miguel, M. San, Raúl Toral, & Vı́ctor M. Eguı́luz. (2005). Redes Complejas en la Dinámica Social. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 127–145. 4 indexed citations
17.
Guinea, F., E. Louis, & M. San Miguel. (2003). La ubicuidad como futuro de la física estadística y no lineal. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 17(5). 24–28.
18.
Balle, S., M. San Miguel, N. B. Abraham, et al.. (1994). Transients in multivariable dynamical systems depend on which parameter is switched as illustrated in lasers. Physical Review Letters. 72(22). 3510–3513. 19 indexed citations
19.
Valle, Á., Pere Colet, L. Pesquera, & M. San Miguel. (1992). Transient multimode statistics in nearly single-mode semiconductor lasers. Optical Society of America Annual Meeting. TuZ1–TuZ1. 1 indexed citations
20.
Garrido, L., et al.. (1978). Finite-temperatureTmatrix in a real-time formalism. Physical review. A, General physics. 17(1). 480–485. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026