R. Legault
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 4
- Image and Object Detection Techniques 3
- Image Processing and 3D Reconstruction 2
- Optical measurement and interference techniques 1
- Digital Image Processing Techniques 1
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- Numerical methods for differential equations 1
- Co-authors
- Ching Y. Suen (4 shared papers)C. Nadal (3 shared papers)Louisa Lam (2 shared papers)Tan-Ha Mai (1 shared paper)Mohamed Cheriet (1 shared paper)C.Y. Suen (1 shared paper)Tien D. Bui (1 shared paper)
- Journals
- Pattern Recognition Letters (1 paper)BIT Numerical Mathematics (1 paper)Proceedings of the IEEE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- Canada
In The Last Decade
R. Legault
6 papers receiving 410 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 388
- Media Technology 83
- Artificial Intelligence 204
- Human-Computer Interaction 26
- Signal Processing 27
Countries citing papers authored by R. Legault
This map shows the geographic impact of R. Legault'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 R. Legault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Legault more than expected).
Fields of papers citing papers by R. Legault
This network shows the impact of papers produced by R. Legault. 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 R. Legault. The network helps show where R. Legault may publish in the future.
Co-authors
The 7 scholars most cited alongside R. Legault, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 314 | |
| 2 | 1993 | 81 | |
| 3 | 2002 | 33 | |
| 4 | 1997 | 19 | |
| 5 | 2003 | 2 | |
| 6 | 1990 | 1 |
About R. Legault
R. Legault is a scholar working on Computer Vision and Pattern Recognition, Numerical Analysis, Computational Mechanics, Artificial Intelligence and Human-Computer Interaction, having authored 6 papers that have together received 450 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Image and Object Detection Techniques (3 papers), Image Processing and 3D Reconstruction (2 papers), Numerical methods for differential equations (1 paper), Hand Gesture Recognition Systems (1 paper), Machine Learning and Algorithms (1 paper), Optical measurement and interference techniques (1 paper) and Digital Image Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (388 citations), Media Technology (83 citations), Artificial Intelligence (204 citations), Human-Computer Interaction (26 citations) and Signal Processing (27 citations). R. Legault has collaborated with scholars based in Canada. Frequent co-authors include Ching Y. Suen, C. Nadal, Louisa Lam, Tan-Ha Mai, Mohamed Cheriet, C.Y. Suen and Tien D. Bui. Their work appears in journals such as Pattern Recognition Letters, BIT Numerical Mathematics, Proceedings of the IEEE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.