Aurélien Ducournau
Impact in
- Computational Mathematics top 10%
-
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
Papers in
-
- Image and Signal Denoising Methods 2
- Advanced Image Processing Techniques 2
- Medical Image Segmentation Techniques 2
- Video Surveillance and Tracking Methods 1
- Co-authors
- Ronan Fablet (3 shared papers)François Rousseau (2 shared papers)Chi-Hieu Pham (1 shared paper)Alain Bretto (4 shared papers)Bernard Laget (3 shared papers)Grégoire Mercier (1 shared paper)Atta Badii (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)Pattern Recognition (1 paper)Signal & Image Processing An International Journal (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FranceUnited Kingdom
In The Last Decade
Aurélien Ducournau
8 papers receiving 339 citations
Peers
Comparison fields: 5 of 72
- Computational Mathematics 11
- Computer Vision and Pattern Recognition 213
- Media Technology 84
- Radiology, Nuclear Medicine and Imaging 60
- Artificial Intelligence 53
Countries citing papers authored by Aurélien Ducournau
This map shows the geographic impact of Aurélien Ducournau'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 Aurélien Ducournau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Ducournau more than expected).
Fields of papers citing papers by Aurélien Ducournau
This network shows the impact of papers produced by Aurélien Ducournau. 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 Aurélien Ducournau. The network helps show where Aurélien Ducournau may publish in the future.
Co-authors
The 7 scholars most cited alongside Aurélien Ducournau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 147 | |
| 2 | 2016 | 79 | |
| 3 | 2013 | 37 | |
| 4 | 2012 | 35 | |
| 5 | 2016 | 34 | |
| 6 | 2009 | 10 | |
| 7 | 2013 | 7 | |
| 8 | 2010 | 1 |
About Aurélien Ducournau
Aurélien Ducournau is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics and Computational Mechanics, having authored 8 papers that have together received 350 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (2 papers), Advanced Image Processing Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Complex Network Analysis Techniques (1 paper), Cell Image Analysis Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Robotics and Sensor-Based Localization (1 paper) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (213 citations), Media Technology (84 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Artificial Intelligence (53 citations). Aurélien Ducournau has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Ronan Fablet, François Rousseau, Chi-Hieu Pham, Alain Bretto, Bernard Laget, Grégoire Mercier and Atta Badii. Their work appears in journals such as Computer Vision and Image Understanding, Pattern Recognition, Signal & Image Processing An International Journal and HAL (Le Centre pour la Communication Scientifique Directe).
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.