A. Navas
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Nonlinear Dynamics and Pattern Formation 6
- Neural Networks Stability and Synchronization 4
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- stochastic dynamics and bifurcation 4
- Co-authors
- Simona Olmi (2 shared papers)I. Sendiña–Nadal (6 shared papers)Stefano Boccaletti (5 shared papers)I. Leyva (5 shared papers)Juan A. Almendral (5 shared papers)Stefano Boccaletti (2 shared papers)Alessandro Torcini (1 shared paper)Javier M. Buldú (3 shared papers)
- Journals
- International Journal of Bifurcation and Chaos (1 paper)Scientific Reports (1 paper)Frontiers in Computational Neuroscience (1 paper)Physical Review E (5 papers)
In The Last Decade
A. Navas
8 papers receiving 335 citations
Peers
Comparison fields: 5 of 38
- Statistical and Nonlinear Physics 167
- Computer Networks and Communications 299
- Cognitive Neuroscience 118
- Biomedical Engineering 79
- Global and Planetary Change 33
Countries citing papers authored by A. Navas
This map shows the geographic impact of A. Navas'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 A. Navas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Navas more than expected).
Fields of papers citing papers by A. Navas
This network shows the impact of papers produced by A. Navas. 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 A. Navas. The network helps show where A. Navas may publish in the future.
Co-authors
The 15 scholars most cited alongside A. Navas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 92 | |
| 2 | 2013 | 91 | |
| 3 | 2014 | 91 | |
| 4 | 2015 | 27 | |
| 5 | 2015 | 17 | |
| 6 | 2015 | 13 | |
| 7 | 2011 | 8 | |
| 8 | 2015 | 2 |
About A. Navas
A. Navas is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Molecular Biology and Electrical and Electronic Engineering, having authored 8 papers that have together received 341 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (6 papers), Neural Networks Stability and Synchronization (4 papers), Neural dynamics and brain function (4 papers), stochastic dynamics and bifurcation (4 papers), EEG and Brain-Computer Interfaces (1 paper), Gene Regulatory Network Analysis (1 paper), Ecosystem dynamics and resilience (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (167 citations), Computer Networks and Communications (299 citations), Cognitive Neuroscience (118 citations), Biomedical Engineering (79 citations) and Global and Planetary Change (33 citations). A. Navas has collaborated with scholars based in Spain, Italy and Portugal. Frequent co-authors include Simona Olmi, I. Sendiña–Nadal, Stefano Boccaletti, I. Leyva, Juan A. Almendral, Stefano Boccaletti, Alessandro Torcini, Javier M. Buldú, David Papo and Massimiliano Zanin. Their work appears in journals such as International Journal of Bifurcation and Chaos, Scientific Reports, Frontiers in Computational Neuroscience and Physical Review E.
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.