Gwenaël Doërr
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 5%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Jean‐Luc DugelayIngemar J. CoxXiaoying FengMatt L. MillerJun ZhangMauro BarniChristian ReyPierre Alliez
- Topics
- Advanced Steganography and Watermarking Techniques (52 papers)Digital Media Forensic Detection (36 papers)Chaos-based Image/Signal Encryption (29 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignSignal Processing
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Signal ProcessingIEEE Signal Processing Magazine
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Gwenaël Doërr
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 183
- Media Technology 119
- Artificial Intelligence 109
- Computer Graphics and Computer-Aided Design 64
Countries citing papers authored by Gwenaël Doërr
This map shows the geographic impact of Gwenaël Doërr'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 Gwenaël Doërr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwenaël Doërr more than expected).
Fields of papers citing papers by Gwenaël Doërr
This network shows the impact of papers produced by Gwenaël Doërr. 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 Gwenaël Doërr. The network helps show where Gwenaël Doërr may publish in the future.
Co-authorship network of co-authors of Gwenaël Doërr
This figure shows the co-authorship network connecting the top 25 collaborators of Gwenaël Doërr. A scholar is included among the top collaborators of Gwenaël Doërr 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 Gwenaël Doërr. Gwenaël Doërr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | Proceedings of the 9th Information Hiding Workshop | 7 |
| 13 | 60 | |
| 14 | 45 | |
| 15 | Problématique de la Collusion en Tatouage Vidéo | 0 |
| 16 | Watermark resynchronization based on Elastic Graph Matching | 3 |
| 17 | Exploiting self-similarities to defeat digital watermarking systems: a case study on still images | 1 |
| 18 | 145 | |
| 19 | 9 | |
| 20 | 267 |
About Gwenaël Doërr
Gwenaël Doërr is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (52 papers), Digital Media Forensic Detection (36 papers) and Chaos-based Image/Signal Encryption (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computer Graphics and Computer-Aided Design (64 citations) and Signal Processing (183 citations). Gwenaël Doërr has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Jean‐Luc Dugelay, Ingemar J. Cox, Xiaoying Feng, Matt L. Miller, Jun Zhang, Mauro Barni, Christian Rey, Pierre Alliez, Stéphane P. Roche and Teddy Furon. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.
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.