André Bleau
Impact in
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- Medical Image Segmentation Techniques
- Digital Image Processing Techniques
- Advanced Neural Network Applications
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Digital Image Processing Techniques 2
- Medical Image Segmentation Techniques 2
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- Medical Imaging and Analysis 2
- Co-authors
- Lucía León Silva (1 shared paper)Guy E. Mailloux (1 shared paper)Robert Petitclerc (1 shared paper)Jacques A. de Guise (4 shared papers)A.-Robert LeBlanc (2 shared papers)Vincent Pomero (2 shared papers)B. Godbout (2 shared papers)Sylvain Deschênes (2 shared papers)
- Journals
- Computer Vision and Image Understanding (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)CVGIP Image Understanding (2 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
In The Last Decade
André Bleau
6 papers receiving 402 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 243
- Biophysics 29
- Radiology, Nuclear Medicine and Imaging 79
- Media Technology 19
- Neurology 13
Countries citing papers authored by André Bleau
This map shows the geographic impact of André Bleau'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 André Bleau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Bleau more than expected).
Fields of papers citing papers by André Bleau
This network shows the impact of papers produced by André Bleau. 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 André Bleau. The network helps show where André Bleau may publish in the future.
Co-authors
The 10 scholars most cited alongside André Bleau, 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 | 2000 | 250 | |
| 2 | 1987 | 130 | |
| 3 | 1992 | 20 | |
| 4 | 1992 | 17 | |
| 5 | 3D reconstruction of the human spine from bi-planar radiographs : using multi-scale wavelets analysis and splines interpolators for semi-automation | 2003 | 5 |
| 6 | 2003 | 4 |
About André Bleau
André Bleau is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 426 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (2 papers), Digital Image Processing Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (243 citations), Biophysics (29 citations), Radiology, Nuclear Medicine and Imaging (79 citations), Media Technology (19 citations) and Neurology (13 citations). André Bleau has collaborated with scholars based in Canada and France. Frequent co-authors include Lucía León Silva, Guy E. Mailloux, Robert Petitclerc, Jacques A. de Guise, A.-Robert LeBlanc, Vincent Pomero, B. Godbout, Sylvain Deschênes, David Mitton and Wafa Skalli E. Their work appears in journals such as Computer Vision and Image Understanding, IEEE Transactions on Biomedical Engineering, CVGIP Image Understanding and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.