Michel Couprie
Michel Couprie publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, on topics such as Digital Image Processing Techniques, Medical Image Segmentation Techniques and Topological and Geometric Data Analysis.
- World rank
- #2,201,305 of 7,710,434 ranked researchers
- Rank in France
- #95,026 of 324,115
- Works
- 206
- Citations
- 3.1k
- Citations per work
- 15.1
What does Michel Couprie research?
Michel Couprie's work is mostly in Computer Science (72%), Engineering (4%), Medicine (3%).
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 Sciences15776.2%
- Computer Science14972.1%
- Engineering84.1%
- Everything else4321.0%
- Health Sciences62.8%
- Medicine62.8%
- 1Computer Vision and Pattern Recognition50% of their works
- 2Computer Graphics and Computer-Aided Design10% of their works
- 3Computational Theory and Mathematics8% of their works
- 4Computational Mechanics4% of their works
- 5Computer Networks and Communications4% of their works
- 6Radiology, Nuclear Medicine and Imaging3% of their works
Research topics
- Digital Image Processing Techniques
- Medical Image Segmentation Techniques
- Topological and Geometric Data Analysis
- Computational Geometry and Mesh Generation
- Image Retrieval and Classification Techniques
- Computer Graphics and Visualization Techniques
- Image and Object Detection Techniques
- Advanced Numerical Analysis Techniques
Which keywords describe Michel Couprie's research?
The keywords of their largest research topics: Connected Components, Labeling, Image Segmentation, Medical Image Analysis, Machine Learning, Delaunay Triangulations, Mesh Generation and Persistent Homology.
- Line Detection
- Finite Elements
- Computer Graphics
- Content-Based Image Retrieval
- Persistent Homology
- Delaunay Triangulations
- Medical Image Analysis
- Labeling
- Connected Components
- Image Segmentation
- Machine Learning
- Mesh Generation
- Topological Methods
- Shape Matching
- Visualization
- Hough Transform
- NURBS
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 17 words, with their numbers
- Connected Components1161 topic
- Labeling1161 topic
- Image Segmentation941 topic
- Medical Image Analysis941 topic
- Machine Learning642 topics
- Delaunay Triangulations381 topic
- Mesh Generation381 topic
- Persistent Homology381 topic
- Topological Methods381 topic
- Content-Based Image Retrieval261 topic
- Shape Matching261 topic
- Computer Graphics171 topic
- Visualization171 topic
- Finite Elements131 topic
- Hough Transform131 topic
- Line Detection131 topic
- NURBS131 topic
Where does Michel Couprie work?
Michel Couprie's main affiliation in the publication record is Université Gustave Eiffel, France.
How many publications and citations does Michel Couprie have?
OpenAlex counts 206 works and 3,102 citations for Michel Couprie, an h-index of 28, ranking #2,201,305 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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