Frédéric Chavane

3.4k citations
59 papers · 2.2k indexed · 1 hit paper · h-index 20

Frédéric Chavane

56 papers receiving 2.1k citations

Hit Papers

Cortical travelling waves: mechanisms and computational p...3232018202620202023100200300

Peers

Frédéric Chavane
Comparison fields: 5 of 94
  • Cognitive Neuroscience 1.9k
  • Cellular and Molecular Neuroscience 1.0k
  • Biophysics 76
  • Ophthalmology 114
  • Statistical and Nonlinear Physics 146
Replace Andrea Benucci with:
Andrea Benucci United Kingdom
E. Kaplan United States
Greg D. Field United States
Almut Schüz Germany
A. B. Bonds United States
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Zoltán F. Kisvárday Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Chavane

Since Specialization
Citations

This map shows the geographic impact of Frédéric Chavane'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 Frédéric Chavane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Chavane more than expected).

Fields of papers citing papers by Frédéric Chavane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Chavane. 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 Frédéric Chavane. The network helps show where Frédéric Chavane may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Frédéric Chavane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frédéric Chavane Line = papers co-authored together Frédéric Chavane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20225
3 202211
4 20225
5 202044
6 201931
7
Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing
20191
8 201741
9 201772
10 2014136
11 201317
12 201045
13 20091
14 20074
15
Caracterization of a New Model of Experimental Choroidal Neovascularization in the Non Human Primate
20071
16 200530
17 2003293
18
Motion modulates speed and shape of cortical spread in cat visual cortex Population dynamics revealed by real-time optical imaging
20011
19 200030
20 199613

About Frédéric Chavane

Frédéric Chavane is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Ophthalmology, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (41 papers), Visual perception and processing mechanisms (31 papers), Photoreceptor and optogenetics research (12 papers), Neurobiology and Insect Physiology Research (8 papers), Retinal Development and Disorders (8 papers), Neuroscience and Neural Engineering (7 papers), Retinal Diseases and Treatments (5 papers) and Glaucoma and retinal disorders (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Cellular and Molecular Neuroscience (1.0k citations) and Biophysics (76 citations). Frédéric Chavane has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Yves Frégnac, Lyle Muller, Vincent Bringuier, Sandrine Chemla, John H. Reynolds, Terrence J. Sejnowski, Cyril Monier, Alexandre Reynaud, Pierre Baudot and Lyle J. Graham. Their work appears in journals such as Journal of Physiology-Paris, Journal of Vision, PLoS Computational Biology, Journal of Neurophysiology and NeuroImage.

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.

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