Samuel Foucher

1.7k total citations · 1 hit paper
78 papers, 1.2k citations indexed

About

Samuel Foucher is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Samuel Foucher has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 25 papers in Media Technology and 23 papers in Aerospace Engineering. Recurrent topics in Samuel Foucher's 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). Samuel Foucher is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (21 papers), Image and Signal Denoising Methods (19 papers) and Remote-Sensing Image Classification (14 papers). Samuel Foucher collaborates with scholars based in Canada, Spain and France. Samuel Foucher's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Samuel Foucher

75 papers receiving 1.2k citations

Hit Papers

Convolutional Neural Networks for the Automatic Identific... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel Foucher Canada 18 574 399 261 250 135 78 1.2k
Carlo Gatta Spain 22 1.1k 1.8× 708 1.8× 95 0.4× 239 1.0× 154 1.1× 63 2.0k
Paul Jackway Australia 14 547 1.0× 173 0.4× 72 0.3× 226 0.9× 170 1.3× 40 1.2k
Diego Marcos Netherlands 19 600 1.0× 424 1.1× 192 0.7× 96 0.4× 356 2.6× 49 1.5k
Lionel Bombrun France 15 175 0.3× 289 0.7× 298 1.1× 82 0.3× 173 1.3× 44 988
Vladimir Crnojević Serbia 17 416 0.7× 207 0.5× 39 0.1× 193 0.8× 114 0.8× 75 1.1k
Dariush Abbasi‐Moghadam Iran 16 143 0.2× 337 0.8× 120 0.5× 126 0.5× 236 1.7× 55 1.1k
Maryam Rahnemoonfar United States 17 288 0.5× 99 0.2× 93 0.4× 353 1.4× 161 1.2× 65 1.1k
X.H. Jiang United States 3 789 1.4× 344 0.9× 47 0.2× 142 0.6× 96 0.7× 3 1.3k
Jingjing Ma China 19 472 0.8× 956 2.4× 93 0.4× 279 1.1× 198 1.5× 49 1.7k
Zhou Rong China 14 143 0.2× 194 0.5× 55 0.2× 247 1.0× 142 1.1× 58 873

Countries citing papers authored by Samuel Foucher

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bouroubi, Yacine, et al.. (2023). Deep Learning-Based Emulation of Radiative Transfer Models for Top-of-Atmosphere BRDF Modelling Using Sentinel-3 OLCI. Remote Sensing. 15(3). 835–835. 5 indexed citations
2.
Théau, Jérôme, et al.. (2023). Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection. PLoS ONE. 18(4). e0284449–e0284449. 5 indexed citations
3.
Mahdianpari, Masoud, Saeid Homayouni, & Samuel Foucher. (2021). CJRS’ Special Issue on Deep Learning for Environmental Applications of Remote Sensing Data. Canadian Journal of Remote Sensing. 47(2). 159–161. 2 indexed citations
4.
Foucher, Samuel, et al.. (2021). Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks. Remote Sensing in Ecology and Conservation. 8(2). 166–179. 33 indexed citations
5.
St-Charles, Pierre-Luc, et al.. (2020). Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning. Frontiers in Artificial Intelligence. 3. 564878–564878. 12 indexed citations
6.
Lalonde, Marc, et al.. (2018). Localizing People in Crosswalks using Visual Odometry: Preliminary Results. 482–487. 1 indexed citations
7.
St-Denis, B. Gauvin, et al.. (2017). 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. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
8.
Foucher, Samuel, et al.. (2016). River Extraction From High-Resolution SAR Images Combining a Structural Feature Set and Mathematical Morphology. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(3). 1025–1038. 45 indexed citations
10.
Foucher, Samuel, Marc Lalonde, & Langis Gagnon. (2011). A system for airport surveillance: detection of people running, abandoned objects, and pointing gestures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8056. 805610–805610. 4 indexed citations
11.
Foucher, Samuel, Marc Lalonde, & L. Gagnon. (2010). Automatic scene activity modeling for improving object classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7701. 770104–770104. 1 indexed citations
12.
Foucher, Samuel, et al.. (2010). Exploitation of the additive component of the polarimetric noise model for speckle filtering. QRU Quaderns de Recerca en Urbanisme. 3497. 312–315. 3 indexed citations
13.
Gupta, Vishwa, et al.. (2009). CRIM's content-based copy detection system for TRECVID. TRECVID. 18 indexed citations
14.
Foucher, Samuel, et al.. (2008). CRIM Notebook Paper - TRECVID 2008 Video Copy Detection Using Latent Aspect Modeling Over SIFT Matches. TRECVID. 2 indexed citations
15.
Lalonde, Marc, et al.. (2007). A system to automatically track humans and vehicles with a PTZ camera. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6575. 657502–657502. 31 indexed citations
16.
Foucher, Samuel, et al.. (2006). SAR Image Filtering based on the Stationary Contourlet Transform. 11. 4021–4024. 22 indexed citations
17.
Foucher, Samuel, Jean‐Marc Boucher, & G.B. Bénié. (2003). Wavelet filtering of correlated speckle. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5108. 307–307. 3 indexed citations
18.
Gagnon, Langis, Samuel Foucher, Julie Brousseau, et al.. (2003). <title>MPEG-7 audio-visual indexing test-bed for video retrieval</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5304. 319–329. 8 indexed citations
19.
Foucher, Samuel, G.B. Bénié, & J.-M. Boucher. (2001). Multiscale MAP filtering of SAR images. IEEE Transactions on Image Processing. 10(1). 49–60. 156 indexed citations
20.
Zagolski, F., et al.. (2000). Sensitivity of SAR Speckle Filtering on the Assessment of Surface Roughness and Soil Moisture Content. ESASP. 450. 213. 1 indexed citations

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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