Alexandre Chapiro

400 citations
28 papers · 227 · h-index 7

Impact in

Papers in

Alexandre Chapiro

22 papers receiving 216 citations

Peers

Alexandre Chapiro
Comparison fields: 5 of 26
  • Computer Graphics and Computer-Aided Design 36
  • Computer Vision and Pattern Recognition 167
  • Human-Computer Interaction 27
  • Media Technology 42
  • Cognitive Neuroscience 60
Replace Philippe Colantoni with:
Philippe Colantoni France
Anna Tomaszewska Poland
Jeffrey M. DiCarlo United States
Peter G. Engeldrum United States
Xiaobo An United States
Atanas Boev Finland
Okan Tarhan Tursun Germany
Moon-Hyun Lee South Korea
Toni Virtanen Finland
Jiangtao Kuang United States
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Citations per field
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Citations per year

Countries citing papers authored by Alexandre Chapiro

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Chapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021101
2 202223
3 202416
4 201415
5 201913
6 202410
7 20248
8 20186
9 20225
10 20244
11 20114
12 20233
13 20233
14 20242
15 20242
16 20112
17 20142
18 20232
19 20152
20 20251

About Alexandre Chapiro

Alexandre Chapiro is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Computer Graphics and Computer-Aided Design and Media Technology, having authored 28 papers that have together received 227 indexed citations. Recurring topics across this work include Color Science and Applications (9 papers), Visual perception and processing mechanisms (9 papers), Image Enhancement Techniques (8 papers), Advanced Vision and Imaging (8 papers), Image and Video Quality Assessment (8 papers), Visual Attention and Saliency Detection (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Advanced Optical Imaging Technologies (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (36 citations), Computer Vision and Pattern Recognition (167 citations), Human-Computer Interaction (27 citations), Media Technology (42 citations) and Cognitive Neuroscience (60 citations). Alexandre Chapiro has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Rafał Mantiuk, Anton Kaplanyan, Anjul Patney, György Dénes, Scott Daly, Markus Groß, Aljoša Smolić, Nathan Matsuda, Luiz Velho and Marcelo Cicconet. Their work appears in journals such as ACM Transactions on Graphics, Nature Communications, ACM Transactions on Applied Perception, Computers & Graphics and IEEE Transactions on Image Processing.

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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