Agnès Desolneux
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Co-authors
- Jean‐Michel MorelLionel MoisanJulie DelonAndrés AlmansaHermine BierméDavid MumfordFrédéric CaoFrédéric Sur
- Topics
- Medical Image Segmentation Techniques (8 papers)Image and Signal Denoising Methods (7 papers)Image and Object Detection Techniques (7 papers)
In The Last Decade
Agnès Desolneux
38 papers receiving 855 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 643
- Media Technology 166
- Aerospace Engineering 147
- Artificial Intelligence 127
- Environmental Engineering 101
Countries citing papers authored by Agnès Desolneux
This map shows the geographic impact of Agnès Desolneux'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 Agnès Desolneux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnès Desolneux more than expected).
Fields of papers citing papers by Agnès Desolneux
This network shows the impact of papers produced by Agnès Desolneux. 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 Agnès Desolneux. The network helps show where Agnès Desolneux may publish in the future.
Co-authorship network of co-authors of Agnès Desolneux
This figure shows the co-authorship network connecting the top 25 collaborators of Agnès Desolneux. A scholar is included among the top collaborators of Agnès Desolneux 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 Agnès Desolneux. Agnès Desolneux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | Exact Sampling of Determinantal Point Processes without Eigendecomposition | 8 |
| 12 | 29 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | 30 | |
| 16 | 4 | |
| 17 | Flicker stabilization in image sequences | 2 |
| 18 | 29 | |
| 19 | 37 | |
| 20 | 17 |
About Agnès Desolneux
Agnès Desolneux is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Mathematics, having authored 40 papers that have together received 922 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Image and Signal Denoising Methods (7 papers) and Image and Object Detection Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (643 citations), Media Technology (166 citations) and Geology (55 citations). Agnès Desolneux has collaborated with scholars based in France, Algeria and Spain. Frequent co-authors include Jean‐Michel Morel, Lionel Moisan, Julie Delon, Andrés Almansa, Hermine Biermé, David Mumford, Frédéric Cao, Frédéric Sur, Pablo Musé and Frédéric Richard. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Physical Chemistry Chemical Physics.
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.