Manuel A. Matı́as
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Co-authors
- J. GüémezDamià GomilaPere ColetV. Pérez‐MuñuzuriLendert GelensInés P. MariñoV. Pérez-VillarPedro Parra‐Rivas
- Topics
- Nonlinear Dynamics and Pattern Formation (48 papers)Chaos control and synchronization (30 papers)Quantum chaos and dynamical systems (19 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsAtomic and Molecular Physics, and Optics
- Partner nations
- SpainBelgiumUnited Kingdom
In The Last Decade
Manuel A. Matı́as
71 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 959
- Computer Networks and Communications 944
- Atomic and Molecular Physics, and Optics 377
- Electrical and Electronic Engineering 157
- Cognitive Neuroscience 109
Countries citing papers authored by Manuel A. Matı́as
This map shows the geographic impact of Manuel A. Matı́as'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 Manuel A. Matı́as with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel A. Matı́as more than expected).
Fields of papers citing papers by Manuel A. Matı́as
This network shows the impact of papers produced by Manuel A. Matı́as. 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 Manuel A. Matı́as. The network helps show where Manuel A. Matı́as may publish in the future.
Co-authorship network of co-authors of Manuel A. Matı́as
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel A. Matı́as. A scholar is included among the top collaborators of Manuel A. Matı́as 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 Manuel A. Matı́as. Manuel A. Matı́as 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 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 28 | |
| 12 | 25 | |
| 13 | 18 | |
| 14 | 31 | |
| 15 | Spectrum of genetic diversity and networks of clonal plant populations | 1 |
| 16 | 55 | |
| 17 | 9 | |
| 18 | 17 | |
| 19 | 28 | |
| 20 | 59 |
About Manuel A. Matı́as
Manuel A. Matı́as is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Horticulture, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (48 papers), Chaos control and synchronization (30 papers) and Quantum chaos and dynamical systems (19 papers). The work is most often cited by research in Statistical and Nonlinear Physics (959 citations), Computer Networks and Communications (944 citations) and Atomic and Molecular Physics, and Optics (377 citations). Manuel A. Matı́as has collaborated with scholars based in Spain, Belgium and United Kingdom. Frequent co-authors include J. Güémez, Damià Gomila, Pere Colet, V. Pérez‐Muñuzuri, Lendert Gelens, Inés P. Mariño, V. Pérez-Villar, Pedro Parra‐Rivas, M. N. Lorenzo and A. J. C. Varandas. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Scientific Reports.
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.