Françoise Viénot

3.0k citations
57 papers · 1.8k indexed · h-index 17
Topics
Color Science and Applications (35 papers)Visual perception and processing mechanisms (26 papers)Color perception and design (15 papers)

In The Last Decade

Françoise Viénot

54 papers receiving 1.7k citations

Peers

Françoise Viénot
Comparison fields: 5 of 149
  • Cognitive Neuroscience 595
  • Social Psychology 517
  • Atomic and Molecular Physics, and Optics 458
  • Global and Planetary Change 315
  • Molecular Biology 290
Replace Chuan‐Chin Chiao with:
Chuan‐Chin Chiao Taiwan
Davida Y. Teller United States
Nicholas E. Scott‐Samuel United Kingdom
J. J. Vos Netherlands
Michael A. Crognale United States
Andrew Bierman United States
Andrew Stockman United Kingdom
Kristian Donner Finland
H. J. A. Dartnall United Kingdom
Barbara Blakeslee United States
Françoise Viénot relative to Chuan‐Chin Chiao Taiwan Chuan‐Chin Chiao's profile →
Citations per field
00.5×1.5×2.1×
Chuan‐Chin Chiao · 1×
Citations per year

Countries citing papers authored by Françoise Viénot

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Viénot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Viénot

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Viénot. A scholar is included among the top collaborators of Françoise Viénot 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 Françoise Viénot. Françoise Viénot 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
1 133
2 2
3 24
4 110
5 21
6 52
7 10
8 36
9 31
10 4
11 5
12 6
13 2
14 1
15
Color correction judgements of digital images by experts and naive observers
5
16 369
17 115
18 3
19 9
20 3

About Françoise Viénot

Françoise Viénot is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Endocrine and Autonomic Systems, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Color Science and Applications (35 papers), Visual perception and processing mechanisms (26 papers) and Color perception and design (15 papers). The work is most often cited by research in Sensory Systems (186 citations), Cognitive Neuroscience (595 citations) and Endocrine and Autonomic Systems (203 citations). Françoise Viénot has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include J. D. Mollon, Hans Brettel, B. C. Regan, Catherine Julliot, Bruno Simmen, Pierre Charles‐Dominique, Francine Béhar‐Cohen, Christophe Martinsons, Dina Attia and Serge Picaud. Their work appears in journals such as PLoS ONE, NeuroImage and Remote Sensing of Environment.

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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