Fernando Corbacho
Impact in
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- stochastic dynamics and bifurcation
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- Neural Networks and Applications 6
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- Neural dynamics and brain function 8
- Co-authors
- Luis F. Lago-Fernández (5 shared papers)Ramón Huerta (6 shared papers)Juan A. Sigüenza (2 shared papers)Michael A. Arbib (7 shared papers)A. Sierra (3 shared papers)José A. Macías (2 shared papers)Mihail Bota (1 shared paper)Alex Guazzelli (1 shared paper)
- Journals
- Biological Cybernetics (3 papers)Vision Research (2 papers)Neurocomputing (2 papers)Adaptive Behavior (2 papers)Neural Networks (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Fernando Corbacho
22 papers receiving 688 citations
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 285
- Cognitive Neuroscience 344
- Computer Networks and Communications 228
- Cellular and Molecular Neuroscience 79
- Artificial Intelligence 142
Countries citing papers authored by Fernando Corbacho
This map shows the geographic impact of Fernando Corbacho'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 Fernando Corbacho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Corbacho more than expected).
Fields of papers citing papers by Fernando Corbacho
This network shows the impact of papers produced by Fernando Corbacho. 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 Fernando Corbacho. The network helps show where Fernando Corbacho may publish in the future.
Co-authors
The 17 scholars most cited alongside Fernando Corbacho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 443 | |
| 2 | 1998 | 51 | |
| 3 | 2001 | 45 | |
| 4 | 1995 | 27 | |
| 5 | 2001 | 25 | |
| 6 | 2009 | 25 | |
| 7 | 2013 | 20 | |
| 8 | 2011 | 11 | |
| 9 | 2000 | 10 | |
| 10 | 2000 | 10 | |
| 11 | 2005 | 8 | |
| 12 | 1997 | 7 | |
| 13 | 1993 | 6 | |
| 14 | 2002 | 6 | |
| 15 | 2011 | 4 | |
| 16 | 2005 | 4 | |
| 17 | A Neural Schema Architecture for Autonomous Robots | 1998 | 4 |
| 18 | 2002 | 3 | |
| 19 | 1998 | 3 | |
| 20 | 2004 | 3 |
About Fernando Corbacho
Fernando Corbacho is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 22 papers that have together received 719 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neural Networks and Applications (6 papers), Neurobiology and Insect Physiology Research (3 papers), Zebrafish Biomedical Research Applications (3 papers), Complex Systems and Time Series Analysis (3 papers), Gene expression and cancer classification (2 papers), Slime Mold and Myxomycetes Research (2 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (285 citations), Cognitive Neuroscience (344 citations), Computer Networks and Communications (228 citations), Cellular and Molecular Neuroscience (79 citations) and Artificial Intelligence (142 citations). Fernando Corbacho has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Luis F. Lago-Fernández, Ramón Huerta, Juan A. Sigüenza, Michael A. Arbib, A. Sierra, José A. Macías, Mihail Bota, Alex Guazzelli, Charles Elkan and Manuel Sánchez-Montañés. Their work appears in journals such as Biological Cybernetics, Vision Research, Neurocomputing, Adaptive Behavior and Neural Networks.
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.