J.‐M. Beaulieu

561 total citations
14 papers, 408 citations indexed

About

J.‐M. Beaulieu is a scholar working on Aerospace Engineering, Media Technology and Environmental Engineering. According to data from OpenAlex, J.‐M. Beaulieu has authored 14 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 8 papers in Media Technology and 7 papers in Environmental Engineering. Recurrent topics in J.‐M. Beaulieu's work include Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Remote-Sensing Image Classification (7 papers) and Soil Moisture and Remote Sensing (5 papers). J.‐M. Beaulieu is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Remote-Sensing Image Classification (7 papers) and Soil Moisture and Remote Sensing (5 papers). J.‐M. Beaulieu collaborates with scholars based in Canada, France and United States. J.‐M. Beaulieu's co-authors include M. Goldberg, Lionel Bombrun, R. Touzi, K.P.B. Thomson and Geoffrey Edwards and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

J.‐M. Beaulieu

14 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.‐M. Beaulieu Canada 6 196 193 158 110 52 14 408
Yanhe Guo China 9 201 1.0× 123 0.6× 195 1.2× 61 0.6× 34 0.7× 17 397
Shaunak De India 12 248 1.3× 155 0.8× 52 0.3× 122 1.1× 60 1.2× 38 400
Fengkai Lang China 9 283 1.4× 234 1.2× 114 0.7× 76 0.7× 89 1.7× 24 459
Julio Jacobo-Berlles Argentina 12 170 0.9× 113 0.6× 148 0.9× 106 1.0× 19 0.4× 22 370
Haiqing He China 12 127 0.6× 77 0.4× 124 0.8× 91 0.8× 51 1.0× 40 359
Jun Hong China 10 205 1.0× 62 0.3× 94 0.6× 88 0.8× 43 0.8× 66 387
Wanying Song China 11 232 1.2× 220 1.1× 73 0.5× 45 0.4× 87 1.7× 34 403
Yanan You China 9 88 0.4× 139 0.7× 129 0.8× 37 0.3× 49 0.9× 31 292
Minh‐Tan Pham France 11 84 0.4× 184 1.0× 237 1.5× 52 0.5× 37 0.7× 36 416
Yufeng Cheng China 12 206 1.1× 149 0.8× 149 0.9× 50 0.5× 66 1.3× 27 460

Countries citing papers authored by J.‐M. Beaulieu

Since Specialization
Citations

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

Fields of papers citing papers by J.‐M. Beaulieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.‐M. Beaulieu

This figure shows the co-authorship network connecting the top 25 collaborators of J.‐M. Beaulieu. A scholar is included among the top collaborators of J.‐M. Beaulieu 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 J.‐M. Beaulieu. J.‐M. Beaulieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Beaulieu, J.‐M. & R. Touzi. (2010). Mean-shift and hierarchical clustering for textured polarimetric SAR image segmentation/classification. 2519–2522. 5 indexed citations
2.
Bombrun, Lionel & J.‐M. Beaulieu. (2008). Segmentation of Polarimetric SAR Data based on the Fisher Distribution for Texture Modeling. 3 indexed citations
3.
Bombrun, Lionel & J.‐M. Beaulieu. (2008). Fisher Distribution for Texture Modeling of Polarimetric SAR Data. IEEE Geoscience and Remote Sensing Letters. 5(3). 512–516. 100 indexed citations
4.
Beaulieu, J.‐M. & R. Touzi. (2008). Classification of Polarimetric SAR Images using Radiometric and Texture Information. IV – 29. 1 indexed citations
5.
Beaulieu, J.‐M.. (2006). Pseudo-convex Contour Criterion for Hierarchical Segmentation of SAR Images. 18. 29–29. 1 indexed citations
6.
Edwards, Geoffrey & J.‐M. Beaulieu. (2005). Segmentation Of SAR Imagery Containing Forest Clear Cuts. 3. 1195–1197. 1 indexed citations
7.
Beaulieu, J.‐M.. (2005). Versatile And Efficient Hierarchical Clustering For Picture Segmentation. 1663–1663. 4 indexed citations
8.
Beaulieu, J.‐M. & R. Touzi. (2004). Segmentation of textured scenes using polarimetric SARs. 1. 446–448. 5 indexed citations
9.
Beaulieu, J.‐M.. (2004). Utilisation of contour criteria in micro-segmentation of SAR images. International Journal of Remote Sensing. 25(17). 3497–3512. 5 indexed citations
10.
Beaulieu, J.‐M. & R. Touzi. (2004). Segmentation of textured polarimetric SAR scenes by likelihood approximation. IEEE Transactions on Geoscience and Remote Sensing. 42(10). 2063–2072. 70 indexed citations
11.
Beaulieu, J.‐M. & R. Touzi. (2003). Hierarchical segmentation of polarimetric SAR images. 5. 2590–2592. 2 indexed citations
12.
Edwards, Geoffrey, et al.. (1992). Post‐segmentation classification of images containing small agricultural fields. Geocarto International. 7(3). 53–60. 4 indexed citations
13.
Beaulieu, J.‐M. & M. Goldberg. (1989). Hierarchy in picture segmentation: a stepwise optimization approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11(2). 150–163. 203 indexed citations
14.

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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