Samuel Foucher
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Aerospace Engineering top 5%
- Plant Science top 10%
- Ecology top 10%
- Co-authors
- G.B. BéniéJérôme ThéauJ.-M. BoucherPierre-Luc St-CharlesCarlos López-MartínezL. GagnonRichard LepageM. Beaulieu
- Topics
- Synthetic Aperture Radar (SAR) Applications and Techniques (21 papers)Image and Signal Denoising Methods (19 papers)Remote-Sensing Image Classification (14 papers)
In The Last Decade
Samuel Foucher
75 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 574
- Media Technology 399
- Aerospace Engineering 261
- Plant Science 250
- Ecology 135
Countries citing papers authored by Samuel Foucher
This map shows the geographic impact of Samuel Foucher'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 Samuel Foucher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Foucher more than expected).
Fields of papers citing papers by Samuel Foucher
This network shows the impact of papers produced by Samuel Foucher. 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 Samuel Foucher. The network helps show where Samuel Foucher may publish in the future.
Co-authorship network of co-authors of Samuel Foucher
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Foucher. A scholar is included among the top collaborators of Samuel Foucher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Foucher. Samuel Foucher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 33 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | PAVICS: A platform for the Analysis and Visualization of Climate Science - adopting a workflow-based analysis method for dealing with a multitude of climate data sources | 1 |
| 9 | 45 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | CRIM's content-based copy detection system for TRECVID | 18 |
| 13 | 17 | |
| 14 | CRIM Notebook Paper - TRECVID 2008 Video Copy Detection Using Latent Aspect Modeling Over SIFT Matches | 2 |
| 15 | 44 | |
| 16 | 22 | |
| 17 | 6 | |
| 18 | 8 | |
| 19 | 156 | |
| 20 | Sensitivity of SAR Speckle Filtering on the Assessment of Surface Roughness and Soil Moisture Content | 1 |
About Samuel Foucher
Samuel Foucher is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (21 papers), Image and Signal Denoising Methods (19 papers) and Remote-Sensing Image Classification (14 papers). The work is most often cited by research in Media Technology (399 citations), Computer Vision and Pattern Recognition (574 citations) and Aerospace Engineering (261 citations). Samuel Foucher has collaborated with scholars based in Canada, Spain and France. Frequent co-authors include G.B. Bénié, Jérôme Théau, J.-M. Boucher, Pierre-Luc St-Charles, Carlos López-Martínez, L. Gagnon, Richard Lepage, M. Beaulieu, Imen Hammami and Marc Lalonde. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.