Antoni Guillamon
- Statistical and Nonlinear Physics top 2%
- Geometry and Topology top 2%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Armengol GasullGemma HuguetVı́ctor MañosaE. FreireGustavo DecoJosep SardanyésMathieu DesrochesR. Prohens
- Topics
- Neural dynamics and brain function (17 papers)Advanced Differential Equations and Dynamical Systems (17 papers)Quantum chaos and dynamical systems (16 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Antoni Guillamon
46 papers receiving 630 citations
Peers
Comparison fields: 5 of 72
- Statistical and Nonlinear Physics 373
- Geometry and Topology 296
- Cognitive Neuroscience 166
- Computer Networks and Communications 151
- Cellular and Molecular Neuroscience 72
Countries citing papers authored by Antoni Guillamon
This map shows the geographic impact of Antoni Guillamon'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 Antoni Guillamon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoni Guillamon more than expected).
Fields of papers citing papers by Antoni Guillamon
This network shows the impact of papers produced by Antoni Guillamon. 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 Antoni Guillamon. The network helps show where Antoni Guillamon may publish in the future.
Co-authorship network of co-authors of Antoni Guillamon
This figure shows the co-authorship network connecting the top 25 collaborators of Antoni Guillamon. A scholar is included among the top collaborators of Antoni Guillamon 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 Antoni Guillamon. Antoni Guillamon 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 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 43 | |
| 12 | 30 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 16 | |
| 16 | 38 | |
| 17 | 5 | |
| 18 | 67 | |
| 19 | 34 | |
| 20 | 3 |
About Antoni Guillamon
Antoni Guillamon is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 48 papers that have together received 668 indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Advanced Differential Equations and Dynamical Systems (17 papers) and Quantum chaos and dynamical systems (16 papers). The work is most often cited by research in Geometry and Topology (296 citations), Statistical and Nonlinear Physics (373 citations) and Cognitive Neuroscience (166 citations). Antoni Guillamon has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Armengol Gasull, Gemma Huguet, Vı́ctor Mañosa, E. Freire, Gustavo Deco, Josep Sardanyés, Mathieu Desroches, R. Prohens, Antonio E. Teruel and Enrique Ponce. Their work appears in journals such as Nature Communications, Biochemical Pharmacology and Journal of Theoretical Biology.
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.