Raúl Vicente
- Cognitive Neuroscience top 2%
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Co-authors
- Michael WibralMichael LindnerGordon PipaCláudio R. MirassoJoseph T. LizierViola PriesemannIngo FischerTristán Pérez
- Topics
- Neural dynamics and brain function (11 papers)Nonlinear Dynamics and Pattern Formation (8 papers)Neural Networks and Applications (6 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- GermanySpainUnited States
In The Last Decade
Raúl Vicente
21 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cognitive Neuroscience 1.1k
- Statistical and Nonlinear Physics 515
- Computer Networks and Communications 440
- Artificial Intelligence 287
- Electrical and Electronic Engineering 229
Countries citing papers authored by Raúl Vicente
This map shows the geographic impact of Raúl Vicente'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 Raúl Vicente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Vicente more than expected).
Fields of papers citing papers by Raúl Vicente
This network shows the impact of papers produced by Raúl Vicente. 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 Raúl Vicente. The network helps show where Raúl Vicente may publish in the future.
Co-authorship network of co-authors of Raúl Vicente
This figure shows the co-authorship network connecting the top 25 collaborators of Raúl Vicente. A scholar is included among the top collaborators of Raúl Vicente 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 Raúl Vicente. Raúl Vicente 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 | 43 | |
| 3 | 98 | |
| 4 | 149 | |
| 5 | 192 | |
| 6 | 85 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 176 | |
| 10 | Transfer entropy—a model-free measure of effective connectivity for the neurosciencesbreakdown → | 669 |
| 11 | 149 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 105 | |
| 15 | 126 | |
| 16 | 8 | |
| 17 | 48 | |
| 18 | 18 | |
| 19 | 40 | |
| 20 | 83 |
About Raúl Vicente
Raúl Vicente is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Statistical and Nonlinear Physics (515 citations) and Computer Networks and Communications (440 citations). Raúl Vicente has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Michael Wibral, Michael Lindner, Gordon Pipa, Cláudio R. Mirasso, Joseph T. Lizier, Viola Priesemann, Ingo Fischer, Tristán Pérez, Benjamin Rahm and Jochen Kaiser. Their work appears in journals such as PLoS ONE, Optics Letters and IEEE Journal of Quantum Electronics.
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.