Erick Cobos
Impact in
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- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
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- Advanced Fluorescence Microscopy Techniques
Papers in
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- Face Recognition and Perception 2
- Neural dynamics and brain function 2
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- Adversarial Robustness in Machine Learning 1
- Machine Learning in Healthcare 1
- Co-authors
- Fabian H. Sinz (4 shared papers)Edgar Y. Walker (4 shared papers)Emmanouil Froudarakis (3 shared papers)Alexander S. Ecker (3 shared papers)Andreas S. Tolias (4 shared papers)Taliah Muhammad (3 shared papers)Paul G. Fahey (2 shared papers)Jacob Reimer (3 shared papers)
- Journals
- Nature Neuroscience (1 paper)IEEE Access (1 paper)GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Erick Cobos
6 papers receiving 126 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 88
- Biophysics 16
- Cellular and Molecular Neuroscience 32
- Health Informatics 2
- Artificial Intelligence 16
Countries citing papers authored by Erick Cobos
This map shows the geographic impact of Erick Cobos'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 Erick Cobos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erick Cobos more than expected).
Fields of papers citing papers by Erick Cobos
This network shows the impact of papers produced by Erick Cobos. 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 Erick Cobos. The network helps show where Erick Cobos may publish in the future.
Co-authors
The 17 scholars most cited alongside Erick Cobos, 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 | 2019 | 101 | |
| 2 | Adolescencia y familia: revisión de la relación y la comunicación como factores de riesgo o protección | 2008 | 11 |
| 3 | How well do deep neural networks trained on object recognition characterize the mouse visual system | 2019 | 10 |
| 4 | 2023 | 5 | |
| 5 | Stimulus domain transfer in recurrent models for large scale cortical population prediction on video | 2018 | 2 |
| 6 | 2019 | 1 |
About Erick Cobos
Erick Cobos is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Biophysics, Electrical and Electronic Engineering and Clinical Psychology, having authored 6 papers that have together received 130 indexed citations. Recurring topics across this work include Face Recognition and Perception (2 papers), Neural dynamics and brain function (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Adversarial Robustness in Machine Learning (1 paper), Machine Learning in Healthcare (1 paper), Advanced Memory and Neural Computing (1 paper), Cultural and political discourse analysis (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (88 citations), Biophysics (16 citations), Cellular and Molecular Neuroscience (32 citations), Health Informatics (2 citations) and Artificial Intelligence (16 citations). Erick Cobos has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Fabian H. Sinz, Edgar Y. Walker, Emmanouil Froudarakis, Alexander S. Ecker, Andreas S. Tolias, Taliah Muhammad, Paul G. Fahey, Jacob Reimer, Xaq Pitkow and Bin Yang. Their work appears in journals such as Nature Neuroscience, IEEE Access, GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen), arXiv (Cornell University) and Neural Information Processing Systems.
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.