Marc Rioux

4.0k citations
118 papers · 3.2k · h-index 28

Impact in

Papers in

Marc Rioux

116 papers receiving 2.9k citations

Peers

Marc Rioux
Comparison fields: 5 of 153
  • Geology 708
  • Computer Graphics and Computer-Aided Design 376
  • Instrumentation 293
  • Computer Vision and Pattern Recognition 1.8k
  • Computational Mechanics 844
Replace Ko Nishino with:
Ko Nishino Japan
Joaquím Salví Spain
Tim Weyrich United Kingdom
Hendrik P. A. Lensch Germany
Robert J. Woodham Canada
Denis Laurendeau Canada
Fausto Bernardini United States
Holly Rushmeier United States
Todd Zickler United States
Andreas Kolb Germany
Marc Rioux relative to Ko Nishino Japan Ko Nishino's profile →
Citations per field
00.5×3.2×
Ko Nishino · 1×
Citations per year

Countries citing papers authored by Marc Rioux

Since Specialization
Citations

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

Fields of papers citing papers by Marc Rioux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984295
2 2000237
3 2010133
4 1978128
5 1994126
6 1997115
7 1978109
8 199197
9 200285
10 198980
11 199280
12 199677
13 198876
14 198675
15 199974
16 198762
17 200659
18
The NRCC three-dimensional image data files
198857
19 200257
20 199053

About Marc Rioux

Marc Rioux is a scholar working on Computer Vision and Pattern Recognition, Geology, Aerospace Engineering, Computational Mechanics and Instrumentation, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (32 papers), 3D Surveying and Cultural Heritage (26 papers), Advanced Vision and Imaging (26 papers), Advanced Optical Sensing Technologies (18 papers), Robotics and Sensor-Based Localization (15 papers), Image Processing Techniques and Applications (12 papers), 3D Shape Modeling and Analysis (12 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Geology (708 citations), Computer Graphics and Computer-Aided Design (376 citations), Instrumentation (293 citations), Computer Vision and Pattern Recognition (1.8k citations) and Computational Mechanics (844 citations). Marc Rioux has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Eric Paquet, Guy Godin, Réjean Baribeau, François Blais, J.‐A. Beraldin, Luc Cournoyer, Pierre‐André Bélanger, Pete R. Jones, F. Blais and Chang Shu. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Optics and Lasers in Engineering, The Visual Computer, IEEE Transactions on Pattern Analysis and Machine Intelligence and Optical Engineering.

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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