Philippe Colantoni

21 papers receiving 182 citations

Peers

Philippe Colantoni
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 88
  • Atomic and Molecular Physics, and Optics 88
  • Cognitive Neuroscience 73
  • Social Psychology 43
  • Computer Graphics and Computer-Aided Design 22
Replace Masataka Sawayama with:
Masataka Sawayama Japan
Peter G. Engeldrum United States
Dragan Sekulovski Netherlands
Pei‐Li Sun Taiwan
Jeffrey M. DiCarlo United States
L. Sharan United States
Arash Akbarinia Germany
E. Jin United States
David R. Wyble United States
Tania Pouli France
Philippe Colantoni relative to Masataka Sawayama Japan Masataka Sawayama's profile →
Citations per field
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Masataka Sawayama · 1×
Citations per year

Countries citing papers authored by Philippe Colantoni

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Colantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Colantoni

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Colantoni. A scholar is included among the top collaborators of Philippe Colantoni 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 Philippe Colantoni. Philippe Colantoni 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 0
2 3
3 1
4 10
5 2
6 2
7 7
8 2
9 13
10
Colorfulness enhancement in λSY color space.
1
11
Fast and Accurate Color Images Processing Using 3D Graphics Cards.
31
12
3D Visualization of Color Data to Analyze Color Images.
2
13 2
14 1
15 18
16 3
17 1
18 66
19 7
20 1

About Philippe Colantoni

Philippe Colantoni is a scholar working on Computer Graphics and Computer-Aided Design, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 193 indexed citations. Recurring topics across this work include Color Science and Applications (13 papers), Color perception and design (6 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (22 citations), Computer Vision and Pattern Recognition (88 citations) and Cognitive Neuroscience (73 citations). Philippe Colantoni has collaborated with scholars based in France, United States and Thailand. Frequent co-authors include Michael D’Zmura, Kenneth Knoblauch, Bernard Laget, Jean‐Baptiste Thomas, Ruven Pillay, Alain Trémeau, Olivier Alata, Cécile Barat, Mathieu Hébert and Christophe Ducottet. Their work appears in journals such as Perception, PRESENCE Virtual and Augmented Reality and Color Research & Application.

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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2026