Jérôme Ribot

857 citations
22 papers · 385 indexed · h-index 11
Topics
Neural dynamics and brain function (13 papers)Visual perception and processing mechanisms (13 papers)Neurobiology and Insect Physiology Research (6 papers)

In The Last Decade

Jérôme Ribot

21 papers receiving 376 citations

Peers

Jérôme Ribot
Comparison fields: 5 of 69
  • Cognitive Neuroscience 194
  • Cellular and Molecular Neuroscience 181
  • Molecular Biology 103
  • Neurology 50
  • Developmental Neuroscience 30
Replace G. S. Bhumbra with:
G. S. Bhumbra United Kingdom
Giovanbattista Grande Canada
Andrew J. P. Fink United States
Ana S Machado Portugal
Rajesh Poddar United States
Alessandro Contestabile Switzerland
Julian Chéron Belgium
Sally A. Marik United States
Sho Aoki Japan
Thomas K. Roseberry United States
Jérôme Ribot relative to G. S. Bhumbra United Kingdom G. S. Bhumbra's profile →
Citations per field
00.5×4.2×
G. S. Bhumbra · 1×
Citations per year

Countries citing papers authored by Jérôme Ribot

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Ribot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Ribot

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Ribot. A scholar is included among the top collaborators of Jérôme Ribot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérôme Ribot. Jérôme Ribot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 0
4 74
5 34
6 6
7 27
8 6
9 9
10 22
11 17
12 14
13 40
14 18
15 9
16 10
17 15
18 40
19 10
20 17

About Jérôme Ribot

Jérôme Ribot is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Visual perception and processing mechanisms (13 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cognitive Neuroscience (194 citations), Cellular and Molecular Neuroscience (181 citations) and Developmental Neuroscience (30 citations). Jérôme Ribot has collaborated with scholars based in France, Japan and United Kingdom. Frequent co-authors include Shigeru Tanaka, Chantal Milleret, Toshiki Tani, Kazuyuki Imamura, Kazunori Ohashi, E. Bui Quoc, C. Bernard, Ariel A. Di Nardo, Alain Prochiantz and Maria Pia Bucci. Their work appears in journals such as Science, Journal of Neuroscience and PLoS ONE.

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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