Jean-Pascal Pfister
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
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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 25
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- Advanced Memory and Neural Computing 15
- Co-authors
- Wulfram Gerstner (8 shared papers)Taro Toyoizumi (4 shared papers)Walter Senn (3 shared papers)David Barber (1 shared paper)Kazuyuki Aihara (3 shared papers)Claudia Clopath (1 shared paper)Julijana Gjorgjieva (1 shared paper)José Brea (1 shared paper)
- Journals
- Journal of Neuroscience (4 papers)PLoS Computational Biology (3 papers)Nature Neuroscience (2 papers)Neural Computation (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- SwitzerlandUnited KingdomJapan
In The Last Decade
Jean-Pascal Pfister
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 1.1k
- Cellular and Molecular Neuroscience 782
- Electrical and Electronic Engineering 897
- Artificial Intelligence 267
- Statistical and Nonlinear Physics 84
Countries citing papers authored by Jean-Pascal Pfister
This map shows the geographic impact of Jean-Pascal Pfister'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 Jean-Pascal Pfister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Pascal Pfister more than expected).
Fields of papers citing papers by Jean-Pascal Pfister
This network shows the impact of papers produced by Jean-Pascal Pfister. 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 Jean-Pascal Pfister. The network helps show where Jean-Pascal Pfister may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean-Pascal Pfister, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 428 | |
| 2 | 2006 | 169 | |
| 3 | 2011 | 137 | |
| 4 | 2014 | 126 | |
| 5 | 2005 | 86 | |
| 6 | 2013 | 83 | |
| 7 | 2010 | 55 | |
| 8 | 2021 | 50 | |
| 9 | 1984 | 41 | |
| 10 | 2010 | 39 | |
| 11 | 2007 | 39 | |
| 12 | 2010 | 23 | |
| 13 | 2017 | 21 | |
| 14 | Sequence learning with hidden units in spiking neural networks | 2011 | 20 |
| 15 | 2019 | 20 | |
| 16 | Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model | 2004 | 13 |
| 17 | 2019 | 13 | |
| 18 | Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects | 2005 | 11 |
| 19 | Know Thy Neighbour: A Normative Theory of Synaptic Depression | 2009 | 10 |
| 20 | 2018 | 9 |
About Jean-Pascal Pfister
Jean-Pascal Pfister is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence and Molecular Biology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (25 papers), Advanced Memory and Neural Computing (15 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroscience and Neural Engineering (5 papers), Neural Networks and Reservoir Computing (3 papers), Photoreceptor and optogenetics research (3 papers), Neural Networks and Applications (2 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (782 citations), Electrical and Electronic Engineering (897 citations), Artificial Intelligence (267 citations) and Statistical and Nonlinear Physics (84 citations). Jean-Pascal Pfister has collaborated with scholars based in Switzerland, United Kingdom and Japan. Frequent co-authors include Wulfram Gerstner, Taro Toyoizumi, Walter Senn, David Barber, Kazuyuki Aihara, Claudia Clopath, Julijana Gjorgjieva, José Brea, Thomas Nevian and Mirko Santello. Their work appears in journals such as Journal of Neuroscience, PLoS Computational Biology, Nature Neuroscience, Neural Computation and Proceedings of the National Academy of Sciences.
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.