M. Richetin

789 citations
17 papers · 446 · h-index 6

Impact in

    • Advanced Vision and Imaging
    • Optical measurement and interference techniques
    • Image and Object Detection Techniques
    • Advanced Image and Video Retrieval Techniques
    • Face and Expression Recognition
    • Face recognition and analysis
    • Robotics and Sensor-Based Localization

Papers in

M. Richetin

16 papers receiving 409 citations

Peers

M. Richetin
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 370
  • Aerospace Engineering 286
  • Geology 45
  • Computer Graphics and Computer-Aided Design 7
  • Media Technology 16
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Countries citing papers authored by M. Richetin

Since Specialization
Citations

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

Fields of papers citing papers by M. Richetin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside M. Richetin, 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 M. Richetin Line = papers co-authored together M. Richetin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1989311
2 200344
3 199125
4 198418
5 197312
6 198811
7 19835
8 19764
9 19834
10 19853
11 19843
12 19862
13
Localization of Autonomous Mobile Robots by Monocular Vision in Modelled Sites. Application to a Nuclear Power Plant.
19901
14 19851
15 20031
16 20051
17 20050

About M. Richetin

M. Richetin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Computational Theory and Mathematics, having authored 17 papers that have together received 446 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (7 papers), Robotics and Sensor-Based Localization (4 papers), Machine Learning and Algorithms (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Optical measurement and interference techniques (3 papers), Advanced Vision and Imaging (3 papers), Medical Image Segmentation Techniques (3 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Aerospace Engineering (286 citations), Geology (45 citations), Computer Graphics and Computer-Aided Design (7 citations) and Media Technology (16 citations). M. Richetin has collaborated with scholars based in France. Frequent co-authors include Jean‐Thierry Lapresté, Michel Dhome, G. Rives, François Vernadat, Α. Τitli, Miguel Á. Gutiérrez-Naranjo, M. Darwish, J. Gallice and P. Saint-Marc. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Robotica, International Journal of Systems Science and Machine Vision and Applications.

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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