Jean Lorenceau

2.4k citations
67 papers · 1.6k indexed · h-index 22

Impact in

Papers in

    • Visual perception and processing mechanisms 55
    • Neural dynamics and brain function 29
    • Tactile and Sensory Interactions 6
    • Glaucoma and retinal disorders 6

Jean Lorenceau

66 papers receiving 1.5k citations

Peers

Jean Lorenceau
Comparison fields: 5 of 92
  • Cognitive Neuroscience 1.4k
  • Cellular and Molecular Neuroscience 338
  • Ophthalmology 139
  • Computer Vision and Pattern Recognition 269
  • Experimental and Cognitive Psychology 139
Replace Ikuya Murakami with:
Ikuya Murakami Japan
Scott Watamaniuk United States
Thom Carney United States
Haluk Öğmen United States
Najib J. Majaj United States
Guillaume S. Masson France
Tom C. A. Freeman United Kingdom
Éric Castet France
Yoram Bonneh Israel
Tim S. Meese United Kingdom
Jean Lorenceau relative to Ikuya Murakami Japan Ikuya Murakami's profile →
Citations per field
00.5×1.5×
Ikuya Murakami · 1×
Citations per year

Countries citing papers authored by Jean Lorenceau

Since Specialization
Citations

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

Fields of papers citing papers by Jean Lorenceau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20229
3 20141
4 201216
5 201216
6 201024
7 20085
8 20082
9 20065
10 200523
11 200241
12 200246
13 200233
14 200167
15 20002
16 200030
17 200052
18 199618
19 199647
20 19924

About Jean Lorenceau

Jean Lorenceau is a scholar working on Cognitive Neuroscience, Ophthalmology, Cellular and Molecular Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (55 papers), Neural dynamics and brain function (29 papers), Neurobiology and Insect Physiology Research (11 papers), Advanced Vision and Imaging (7 papers), Glaucoma and retinal disorders (6 papers), Retinal Development and Disorders (6 papers), Tactile and Sensory Interactions (6 papers) and Color Science and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (338 citations), Ophthalmology (139 citations), Computer Vision and Pattern Recognition (269 citations) and Experimental and Cognitive Psychology (139 citations). Jean Lorenceau has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Maggie Shiffrar, Yves Frégnac, Peggy Seriès, David Alais, Éric Castet, C. Lamirel, J.-M. Hupe, Claude Bonnet, Brent R. Beutter and Leland S. Stone. Their work appears in journals such as Vision Research, Journal of Vision, Journal of Physiology-Paris, Perception and Frontiers in Psychology.

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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