Mathieu Hébert

91 papers receiving 780 citations

Peers

Mathieu Hébert
Comparison fields: 5 of 108
  • Computer Graphics and Computer-Aided Design 50
  • Atomic and Molecular Physics, and Optics 368
  • Acoustics and Ultrasonics 10
  • Computer Vision and Pattern Recognition 166
  • Archeology 65
Replace Lionel Simonot with:
Lionel Simonot France
Philipp Urban Germany
Youri Meuret Belgium
Chun Zhu China
K. Joost Batenburg Netherlands
Matthew R. Maschmann United States
Takanori Igarashi Japan
Yanqiu Li China
Feng Han China
Zhengzhi Wang China
Mathieu Hébert relative to Lionel Simonot France Lionel Simonot's profile →
Citations per field
00.5×1.5×2.2×
Lionel Simonot · 1×
Citations per year

Countries citing papers authored by Mathieu Hébert

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Hébert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201944
2 200838
3 201936
4 202136
5 201030
6 200726
7 200426
8 202224
9 202124
10 201323
11 201423
12 201522
13 201320
14 200619
15 200619
16 201818
17 201918
18 200517
19 201417
20 201616

About Mathieu Hébert

Mathieu Hébert is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 96 papers that have together received 844 indexed citations. Recurring topics across this work include Color Science and Applications (58 papers), Image Enhancement Techniques (18 papers), Surface Roughness and Optical Measurements (14 papers), Optical Imaging and Spectroscopy Techniques (13 papers), Cultural Heritage Materials Analysis (11 papers), Computer Graphics and Visualization Techniques (11 papers), Color perception and design (8 papers) and Photoacoustic and Ultrasonic Imaging (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (50 citations), Atomic and Molecular Physics, and Optics (368 citations), Acoustics and Ultrasonics (10 citations), Computer Vision and Pattern Recognition (166 citations) and Archeology (65 citations). Mathieu Hébert has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Roger D. Hersch, Lionel Simonot, Dominic Rochefort, R. Clerc, Nathalie Destouches, Thierry Fournel, Alain Trémeau, David Rousseau, Francis Vocanson and Bruno Montcel. Their work appears in journals such as Journal of the Optical Society of America A, Journal of Imaging Science and Technology, Applied Optics, Optics Express 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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