M. San Miguel
- Statistical and Nonlinear Physics top 0.05%
- Atomic and Molecular Physics, and Optics top 1%
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 2%
- Sociology and Political Science top 0.5%
- Co-authors
- Vı́ctor M. Eguı́luzJ. M. SanchoRaúl ToralJ. D. GuntonPere ColetMartín ZimmermannJerome V. MoloneyJ. Martín-Regalado
- Topics
- Nonlinear Dynamics and Pattern Formation (88 papers)Opinion Dynamics and Social Influence (68 papers)Semiconductor Lasers and Optical Devices (55 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsAtomic and Molecular Physics, and Optics
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
M. San Miguel
284 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Statistical and Nonlinear Physics 4.9k
- Atomic and Molecular Physics, and Optics 2.4k
- Computer Networks and Communications 2.2k
- Electrical and Electronic Engineering 2.1k
- Sociology and Political Science 1.8k
Countries citing papers authored by M. San Miguel
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 48 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 10 | |
| 15 | 0 | |
| 16 | Redes Complejas en la Dinámica Social | 4 |
| 17 | La ubicuidad como futuro de la física estadística y no lineal | 0 |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 5 |
About M. San Miguel
M. San Miguel is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Condensed Matter Physics, having authored 292 papers that have together received 9.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (88 papers), Opinion Dynamics and Social Influence (68 papers) and Semiconductor Lasers and Optical Devices (55 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.9k citations), Computer Networks and Communications (2.2k citations) and Atomic and Molecular Physics, and Optics (2.4k citations). M. San Miguel has collaborated with scholars based in Spain, United States and Italy. Frequent 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. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.
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.