Alexandre Payeur
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 10
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- Neuroscience and Neural Engineering 4
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Richard Naud (5 shared papers)Friedemann Zenke (1 shared paper)Jordan Guerguiev (1 shared paper)Blake A. Richards (1 shared paper)Jean‐Claude Béïque (2 shared papers)André Longtin (6 shared papers)Grégory Dumont (1 shared paper)Leonard Maler (4 shared papers)
- Journals
- Physical Review X (1 paper)Scientific Reports (1 paper)PLoS Computational Biology (1 paper)Nature Neuroscience (1 paper)eLife (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Alexandre Payeur
11 papers receiving 222 citations
Peers
Comparison fields: 5 of 39
- Cognitive Neuroscience 164
- Cellular and Molecular Neuroscience 87
- Statistical and Nonlinear Physics 28
- Artificial Intelligence 57
- Electrical and Electronic Engineering 100
Countries citing papers authored by Alexandre Payeur
This map shows the geographic impact of Alexandre Payeur'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 Alexandre Payeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Payeur more than expected).
Fields of papers citing papers by Alexandre Payeur
This network shows the impact of papers produced by Alexandre Payeur. 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 Alexandre Payeur. The network helps show where Alexandre Payeur may publish in the future.
Co-authors
The 14 scholars most cited alongside Alexandre Payeur, 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 | 2021 | 120 | |
| 2 | 2019 | 42 | |
| 3 | 2017 | 15 | |
| 4 | 2014 | 12 | |
| 5 | 2017 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 7 | |
| 8 | 2015 | 4 | |
| 9 | 2002 | 3 | |
| 10 | Experimental Results from Iddf Testing | 1996 | 2 |
| 11 | 2013 | 1 | |
| 12 | 2014 | 0 |
About Alexandre Payeur
Alexandre Payeur is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Nature and Landscape Conservation, having authored 12 papers that have together received 226 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (4 papers), stochastic dynamics and bifurcation (4 papers), Advanced Memory and Neural Computing (3 papers), Fish biology, ecology, and behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers) and VLSI and Analog Circuit Testing (2 papers). The work is most often cited by research in Cognitive Neuroscience (164 citations), Cellular and Molecular Neuroscience (87 citations), Statistical and Nonlinear Physics (28 citations), Artificial Intelligence (57 citations) and Electrical and Electronic Engineering (100 citations). Alexandre Payeur has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Richard Naud, Friedemann Zenke, Jordan Guerguiev, Blake A. Richards, Jean‐Claude Béïque, André Longtin, Grégory Dumont, Leonard Maler, Claude Thibeault and Jorge F. Mejías. Their work appears in journals such as Physical Review X, Scientific Reports, PLoS Computational Biology, Nature Neuroscience and eLife.
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.