Felipe Gerhard
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 9
- Functional Brain Connectivity Studies 2
- Visual perception and processing mechanisms 1
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- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
- Co-authors
- Wulfram Gerstner (4 shared papers)Gordon Pipa (2 shared papers)Bruss Lima (1 shared paper)Sergio Neuenschwander (1 shared paper)Wilson Truccolo (1 shared paper)Fritjof Helmchen (1 shared paper)Henry Lütcke (1 shared paper)Friedemann Zenke (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Neural Computation (2 papers)Frontiers in Neural Circuits (1 paper)Frontiers in Computational Neuroscience (1 paper)PubMed (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Felipe Gerhard
9 papers receiving 293 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 229
- Cellular and Molecular Neuroscience 134
- Statistical and Nonlinear Physics 49
- Biophysics 20
- Applied Mathematics 17
Countries citing papers authored by Felipe Gerhard
This map shows the geographic impact of Felipe Gerhard'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 Felipe Gerhard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Gerhard more than expected).
Fields of papers citing papers by Felipe Gerhard
This network shows the impact of papers produced by Felipe Gerhard. 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 Felipe Gerhard. The network helps show where Felipe Gerhard may publish in the future.
Co-authors
The 19 scholars most cited alongside Felipe Gerhard, 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 | 2011 | 90 | |
| 2 | 2013 | 61 | |
| 3 | 2013 | 59 | |
| 4 | 2017 | 37 | |
| 5 | 2011 | 30 | |
| 6 | 2011 | 9 | |
| 7 | 2010 | 5 | |
| 8 | A robust biologically plausible implementation of ICA-like learning | 2009 | 3 |
| 9 | 2012 | 1 |
About Felipe Gerhard
Felipe Gerhard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology, having authored 9 papers that have together received 295 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), stochastic dynamics and bifurcation (3 papers), Neuroscience and Neural Engineering (2 papers), Functional Brain Connectivity Studies (2 papers), Neural Networks and Applications (2 papers), Photoreceptor and optogenetics research (2 papers), Visual perception and processing mechanisms (1 paper) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (229 citations), Cellular and Molecular Neuroscience (134 citations), Statistical and Nonlinear Physics (49 citations), Biophysics (20 citations) and Applied Mathematics (17 citations). Felipe Gerhard has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Wulfram Gerstner, Gordon Pipa, Bruss Lima, Sergio Neuenschwander, Wilson Truccolo, Fritjof Helmchen, Henry Lütcke, Friedemann Zenke, Moritz Deger and Tilman Kispersky. Their work appears in journals such as PLoS Computational Biology, Neural Computation, Frontiers in Neural Circuits, Frontiers in Computational Neuroscience and PubMed.
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.