Benoit Dubuc

14 papers receiving 644 citations

Peers

Benoit Dubuc
Comparison fields: 5 of 87
  • Computational Mechanics 186
  • Mathematical Physics 80
  • Computer Vision and Pattern Recognition 108
  • Computer Graphics and Computer-Aided Design 15
  • Condensed Matter Physics 39
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Don Chakerian United States
Ru‐Shan Wu United States
Kazimierz Piechór Poland
Jean Baptiste Joseph Fourier
Guy R. McNamara United States
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Citations per year

Countries citing papers authored by Benoit Dubuc

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Dubuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Benoit Dubuc, 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 Benoit Dubuc Line = papers co-authored together Benoit Dubuc links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1989371
2 1989130
3 198859
4 198739
5 199626
6
Error bound on the estimation of fractal dimension
199617
7 198910
8 200110
9 200110
10
Surface studies of calcium oxalate dihydrate single crystals during dissolution in the presence of urine.
19879
11 20016
12
Evaluation of the surface roughness of cystine stones using a visible laser diode scattering approach.
19933
13 20012
14 20022

About Benoit Dubuc

Benoit Dubuc is a scholar working on Mathematical Physics, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 694 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (7 papers), Visual perception and processing mechanisms (5 papers), Surface Roughness and Optical Measurements (4 papers), Image and Object Detection Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Computer Graphics and Visualization Techniques (2 papers), Topological and Geometric Data Analysis (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computational Mechanics (186 citations), Mathematical Physics (80 citations), Computer Vision and Pattern Recognition (108 citations), Computer Graphics and Computer-Aided Design (15 citations) and Condensed Matter Physics (39 citations). Benoit Dubuc has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Steven W. Zucker, Claude Tricot, Claude Roques‐Carmes, Serge Dubuc, RASHAD TAWASHI and Roch Thibert. Their work appears in journals such as International Journal of Computer Vision, Journal of Mathematical Imaging and Vision, SIAM Journal on Numerical Analysis, Physical Review A and Canadian Mathematical Bulletin.

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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