Gouenou Coatrieux
Gouenou Coatrieux publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Steganography and Watermarking Techniques, Chaos-based Image/Signal Encryption and Digital Media Forensic Detection.
- World rank
- #352,451 of 7,710,434 ranked researchers
- Rank in France
- #19,680 of 324,115
- Works
- 262
- Citations
- 5.4k
- Citations per work
- 20.6
What does Gouenou Coatrieux research?
Gouenou Coatrieux's work is mostly in Computer Science (61%), Medicine (8%), Engineering (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences17265.6%
- Computer Science16161.3%
- Engineering114.3%
- Everything else6324.0%
- Health Sciences2710.4%
- Medicine218.1%
- Health Professions62.3%
- 1Computer Vision and Pattern Recognition42% of their works
- 2Artificial Intelligence14% of their works
- 3Radiology, Nuclear Medicine and Imaging8% of their works
- 4Information Systems6% of their works
- 5Biomedical Engineering4% of their works
- 6Health Information Management2% of their works
Research topics
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Cryptography and Data Security
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Privacy-Preserving Technologies in Data
- Image Retrieval and Classification Techniques
Which keywords describe Gouenou Coatrieux's research?
The keywords of their largest research topics: Deep Learning, Reversible Data Embedding, Steganography, Chaos, Image Encryption, Digital Forensics, Image Forgery Detection and Machine Learning.
- Shape Matching
- Federated Learning
- PET/CT
- Imaging
- Identity-Based Encryption
- Machine Learning
- Digital Forensics
- Chaos
- Reversible Data Embedding
- Deep Learning
- Steganography
- Image Encryption
- Image Forgery Detection
- Homomorphic Encryption
- Dual-Energy CT
- Material Differentiation
- Differential Privacy
- Content-Based Image Retrieval
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Deep Learning1472 topics
- Reversible Data Embedding991 topic
- Steganography991 topic
- Chaos621 topic
- Image Encryption621 topic
- Digital Forensics481 topic
- Image Forgery Detection481 topic
- Machine Learning372 topics
- Homomorphic Encryption331 topic
- Identity-Based Encryption331 topic
- Dual-Energy CT251 topic
- Imaging251 topic
- Material Differentiation251 topic
- PET/CT251 topic
- Differential Privacy191 topic
- Federated Learning191 topic
- Content-Based Image Retrieval181 topic
- Shape Matching181 topic
Where does Gouenou Coatrieux work?
Gouenou Coatrieux's main affiliation in the publication record is Inserm, France.
How many publications and citations does Gouenou Coatrieux have?
OpenAlex counts 262 works and 5,401 citations for Gouenou Coatrieux, an h-index of 39, ranking #352,451 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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