Mathieu Hébert

108 papers receiving 930 citations

Peers

Mathieu Hébert
Comparison fields: 5 of 111
  • Computer Graphics and Computer-Aided Design 69
  • Atomic and Molecular Physics, and Optics 430
  • Acoustics and Ultrasonics 9
  • Computer Vision and Pattern Recognition 208
  • Archeology 85
Replace Lionel Simonot with:
Lionel Simonot France
Philipp Urban Germany
Thierry Fournel France
Youri Meuret Belgium
K. Joost Batenburg Netherlands
Jonathan Adams Canada
Matthew R. Maschmann United States
Meritxell Vilaseca Spain
Feng Han China
Yanqiu Li China
Mathieu Hébert relative to Lionel Simonot France Lionel Simonot's profile →
Citations per field
00.5×1.5×2.1×
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 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201943
3 200839
4 202139
5 202233
6 200430
7 201430
8 201030
9 201329
10 200727
11 202125
12 200623
13 201523
14 200622
15 201821
16 201321
17 201920
18 201120
19 201418
20 200517

About Mathieu Hébert

Mathieu Hébert is a scholar working on Atomic and Molecular Physics, and Optics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Archeology and Computational Mechanics, having authored 115 papers that have together received 1000 indexed citations. Recurring topics across this work include Color Science and Applications (63 papers), Image Enhancement Techniques (21 papers), Surface Roughness and Optical Measurements (15 papers), Computer Graphics and Visualization Techniques (13 papers), Cultural Heritage Materials Analysis (13 papers), Optical Imaging and Spectroscopy Techniques (13 papers), Color perception and design (10 papers) and Photoacoustic and Ultrasonic Imaging (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (69 citations), Atomic and Molecular Physics, and Optics (430 citations), Acoustics and Ultrasonics (9 citations), Computer Vision and Pattern Recognition (208 citations) and Archeology (85 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, Raphael Clerc, Thierry Fournel, Nathalie Destouches, David Rousseau, Laurent Mahieu-Williame, Alain Trémeau and Francis Vocanson. Their work appears in journals such as Journal of the Optical Society of America A, Applied Optics, Journal of Imaging Science and Technology, Optics Express and Skin Research and Technology.

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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