Yves Delignon
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Wojciech PieczynskiFrançois SeptierMarc SigelleFlorence TupinGareth W. PetersRoberto GarelloPatrick ArmandJacques Moussafir
- Topics
- Bayesian Methods and Mixture Models (6 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers)Remote-Sensing Image Classification (6 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- FranceUnited KingdomNorway
In The Last Decade
Yves Delignon
30 papers receiving 542 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 180
- Computer Vision and Pattern Recognition 151
- Media Technology 144
- Aerospace Engineering 108
- Electrical and Electronic Engineering 89
Countries citing papers authored by Yves Delignon
This map shows the geographic impact of Yves Delignon'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 Yves Delignon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Delignon more than expected).
Fields of papers citing papers by Yves Delignon
This network shows the impact of papers produced by Yves Delignon. 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 Yves Delignon. The network helps show where Yves Delignon may publish in the future.
Co-authorship network of co-authors of Yves Delignon
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Delignon. A scholar is included among the top collaborators of Yves Delignon 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 Yves Delignon. Yves Delignon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 41 | |
| 3 | 29 | |
| 4 | Bayesian model selection and parameter estimation in penalized regression model using SMC samplers | 3 |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 42 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 74 | |
| 17 | 2 | |
| 18 | 35 | |
| 19 | 93 | |
| 20 | Statistical analysis of ocean surface texture in SAR images | 0 |
About Yves Delignon
Yves Delignon is a scholar working on Media Technology, Oceanography and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 575 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (6 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Media Technology (144 citations), Computer Vision and Pattern Recognition (151 citations) and Artificial Intelligence (180 citations). Yves Delignon has collaborated with scholars based in France, United Kingdom and Norway. Frequent co-authors include Wojciech Pieczynski, François Septier, Marc Sigelle, Florence Tupin, Gareth W. Peters, Roberto Garello, Patrick Armand, Jacques Moussafir, Ido Nevat and R. Garello. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal 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.