J.-F. Vibert

1.2k citations
44 papers · 929 · h-index 18

Impact in

Papers in

J.-F. Vibert

41 papers receiving 885 citations

Peers

J.-F. Vibert
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 294
  • Cognitive Neuroscience 370
  • Statistical and Nonlinear Physics 200
  • Pharmacy 53
  • Cellular and Molecular Neuroscience 178
Replace Premananda Indic with:
Premananda Indic United States
Jean-François Vibert France
Alona Ben‐Tal New Zealand
Uwe an der Heiden Germany
Laura Cimponeriu Greece
Michael Podell United States
D C Michaels United States
Y.J. Kingma Canada
Remo Bedini Italy
Catherine Bonnet France
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Citations per field
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Citations per year

Countries citing papers authored by J.-F. Vibert

Since Specialization
Citations

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

Fields of papers citing papers by J.-F. Vibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-F. Vibert. 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 J.-F. Vibert. The network helps show where J.-F. Vibert may publish in the future.

Co-authors

The 25 scholars most cited alongside J.-F. Vibert, 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 J.-F. Vibert Line = papers co-authored together J.-F. Vibert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006116
2 197383
3 197673
4 197471
5 199857
6 199855
7 198139
8 199738
9 197936
10 197935
11 197633
12 199932
13 197927
14 198125
15 199422
16 199717
17 197917
18 199817
19 199516
20 198513

About J.-F. Vibert

J.-F. Vibert is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 44 papers that have together received 929 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Neuroscience of respiration and sleep (7 papers), stochastic dynamics and bifurcation (6 papers), Neuroscience and Neural Engineering (5 papers), Advanced Memory and Neural Computing (4 papers), Sleep and Wakefulness Research (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (294 citations), Cognitive Neuroscience (370 citations), Statistical and Nonlinear Physics (200 citations), Pharmacy (53 citations) and Cellular and Molecular Neuroscience (178 citations). J.-F. Vibert has collaborated with scholars based in France, United States and Uruguay. Frequent co-authors include A Hugelin, F Bertrand, D. Caille, J. P. Segundo, Khashayar Pakdaman, Monique Denavit‐Saubié, C. P. Malta, Alain‐Jacques Valleron, Michael Stiber and Laurent Toubiana. Their work appears in journals such as Brain Research, Biological Cybernetics, Neuroscience, Biosystems and Pflügers Archiv - European Journal of Physiology.

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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