Charles Soussen
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- David BrieJérôme IdierJunbo DuanCédric HerzetGrégory FranciusPavel PolyakovJérôme F. L. DuvalEl‐Hadi Djermoune
- Topics
- Sparse and Compressive Sensing Techniques (15 papers)Image and Signal Denoising Methods (9 papers)Medical Image Segmentation Techniques (6 papers)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Charles Soussen
38 papers receiving 530 citations
Peers
Comparison fields: 5 of 116
- Computational Mechanics 180
- Computer Vision and Pattern Recognition 116
- Biomedical Engineering 104
- Signal Processing 76
- Molecular Biology 66
Countries citing papers authored by Charles Soussen
This map shows the geographic impact of Charles Soussen'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 Charles Soussen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Soussen more than expected).
Fields of papers citing papers by Charles Soussen
This network shows the impact of papers produced by Charles Soussen. 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 Charles Soussen. The network helps show where Charles Soussen may publish in the future.
Co-authorship network of co-authors of Charles Soussen
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Soussen. A scholar is included among the top collaborators of Charles Soussen 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 Charles Soussen. Charles Soussen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 41 | |
| 5 | NP-hardness of l 0 minimization problems: revision and extension to the non-negative setting | 3 |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 44 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | 36 | |
| 14 | 4 | |
| 15 | 18 | |
| 16 | 7 | |
| 17 | Sparse recovery conditions for Orthogonal Least Squares | 0 |
| 18 | 91 | |
| 19 | 2 | |
| 20 | 17 |
About Charles Soussen
Charles Soussen is a scholar working on Acoustics and Ultrasonics, Computational Mathematics and Computational Mechanics, having authored 40 papers that have together received 552 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (15 papers), Image and Signal Denoising Methods (9 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (11 citations), Computational Mechanics (180 citations) and Signal Processing (76 citations). Charles Soussen has collaborated with scholars based in France, United States and China. Frequent co-authors include David Brie, Jérôme Idier, Junbo Duan, Cédric Herzet, Grégory Francius, Pavel Polyakov, Jérôme F. L. Duval, El‐Hadi Djermoune, Ali Mohammad‐Djafari and Christian Daul. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Theory 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.