Werner Van Geit
Impact in
- Cognitive Neuroscience top 5%
- 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 19
- Functional Brain Connectivity Studies 3
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- Neuroscience and Neural Engineering 8
- Neuroscience and Neuropharmacology Research 2
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Erik De Schutter (4 shared papers)Pablo Achard (2 shared papers)Henry Markram (9 shared papers)Eilif Müller (5 shared papers)Christian Rössert (4 shared papers)Idan Segev (2 shared papers)Oren Amsalem (2 shared papers)Alexis Arnaudon (5 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Cell Reports (2 papers)Nature Communications (2 papers)BMC Neuroscience (1 paper)Neural Computation (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Werner Van Geit
22 papers receiving 413 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 306
- Cellular and Molecular Neuroscience 211
- Neurology 47
- Biophysics 29
- Statistical and Nonlinear Physics 42
Countries citing papers authored by Werner Van Geit
This map shows the geographic impact of Werner Van Geit'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 Werner Van Geit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner Van Geit more than expected).
Fields of papers citing papers by Werner Van Geit
This network shows the impact of papers produced by Werner Van Geit. 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 Werner Van Geit. The network helps show where Werner Van Geit may publish in the future.
Co-authors
The 25 scholars most cited alongside Werner Van Geit, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 114 | |
| 2 | 2007 | 52 | |
| 3 | 2022 | 43 | |
| 4 | 2020 | 29 | |
| 5 | 2017 | 26 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2016 | 17 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2007 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 2 |
About Werner Van Geit
Werner Van Geit is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Biophysics, having authored 24 papers that have together received 419 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Neuroscience and Neural Engineering (8 papers), Advanced Memory and Neural Computing (5 papers), Neural Networks and Applications (4 papers), Cell Image Analysis Techniques (4 papers), Functional Brain Connectivity Studies (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (306 citations), Cellular and Molecular Neuroscience (211 citations), Neurology (47 citations), Biophysics (29 citations) and Statistical and Nonlinear Physics (42 citations). Werner Van Geit has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Erik De Schutter, Pablo Achard, Henry Markram, Eilif Müller, Christian Rössert, Idan Segev, Oren Amsalem, Alexis Arnaudon, Martina Sgritta and Felix Schürmann. Their work appears in journals such as PLoS Computational Biology, Cell Reports, Nature Communications, BMC Neuroscience and Neural Computation.
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.