Germán Mato
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Statistical and Nonlinear Physics top 0.5%
- stochastic dynamics and bifurcation
Papers in
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- stochastic dynamics and bifurcation 12
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- Neural dynamics and brain function 27
- Visual perception and processing mechanisms 5
- Co-authors
- D. HanselC. MeunierDavid HanselBenjamin PfeutyDavid GolombNéstor PargaAntonio TurielJean‐Pierre Nadal
In The Last Decade
Germán Mato
46 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 1.5k
- Statistical and Nonlinear Physics 945
- Cellular and Molecular Neuroscience 736
- Computer Networks and Communications 822
- Sensory Systems 30
Countries citing papers authored by Germán Mato
This map shows the geographic impact of Germán Mato'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 Germán Mato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Mato more than expected).
Fields of papers citing papers by Germán Mato
This network shows the impact of papers produced by Germán Mato. 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 Germán Mato. The network helps show where Germán Mato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Germán Mato, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 1 | |
| 5 | Noise Based Approach for the Detection of Adversarial Examples | 2020 | 0 |
| 6 | 2020 | 2 | |
| 7 | 2020 | 2 | |
| 8 | 2018 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 8 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 4 | |
| 13 | 2013 | 86 | |
| 14 | 2013 | 10 | |
| 15 | 2009 | 7 | |
| 16 | 2008 | 1 | |
| 17 | 2007 | 2 | |
| 18 | Self-similarity Properties of Natural Images | 1997 | 14 |
| 19 | 1995 | 452 | |
| 20 | 1992 | 19 |
About Germán Mato
Germán Mato is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (27 papers), stochastic dynamics and bifurcation (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Photoreceptor and optogenetics research (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Neural Networks and Applications (6 papers), Visual perception and processing mechanisms (5 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Statistical and Nonlinear Physics (945 citations), Cellular and Molecular Neuroscience (736 citations), Computer Networks and Communications (822 citations) and Sensory Systems (30 citations). Germán Mato has collaborated with scholars based in Argentina, France and Israel. Frequent co-authors include D. Hansel, C. Meunier, David Hansel, Benjamin Pfeuty, David Golomb, Néstor Parga, Antonio Turiel, Jean‐Pierre Nadal, Claude Meunier and Yimy Amarillo. Their work appears in journals such as Neural Computation, Journal of Neurophysiology, Physica A Statistical Mechanics and its Applications, Journal of Neuroscience and Physical Review Letters.
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.