Centre Inria de l'Université de Rennes
In research, Centre Inria de l'Université de Rennes stands highest in Physical Sciences (#9,052 of 12,888 worldwide) and Computer Science (#3,321 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 15.1× its share of world research.
- World rank, 2022–2025
- #14,737 of 28,054 · #8,694 all time
- Rank in France
- #629 of 1,422
- Research works
- 952 ▼ 44% vs 2013–17
- Citations
- 25k 26.3 per fractional work
- Top-10% rate
- 14.7% record average 16.5%
- Open access
- 50% world 28%
What is Centre Inria de l'Université de Rennes known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #9,052 of 12,888 | 14.1% | 98 | #5650 | |
| Computer ScienceField | #3,321 of 4,667 | 14.3% | 66 | #847 |
Each strip is that field’s whole ranked pool, with the notch where Centre Inria de l'Université de Rennes sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does Centre Inria de l'Université de Rennes specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 15.1× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 22.1 works15×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.3×. Every wedge is a field page.
- Computer Science 7.3×
- Mathematics 2.7×
- Earth and Planetary Sciences 2.1×
- Neuroscience 2.1×
- Decision Sciences 1.6×
- Engineering 1.1×
- Physics and Astronomy 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Psychology 0.6×
- Economics, Econometrics and Finance 0.5×
- Environmental Science 0.3×
- Health Professions 0.2×
- Social Sciences 0.2×
- Materials Science 0.1×
- Business, Management and Accounting 0.1×
- Agricultural and Biological Sciences 0.1×
- Energy 0.1×
- Medicine 0.1×
- Arts and Humanities 0.1×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Chemistry 0.1×
- Nursing 0.1×
Who are the top researchers at Centre Inria de l'Université de Rennes?
Ranked on the composite score, Gabriel Antoniu, Jean Quilbeuf and Cédric Herzet lead among researchers whose main affiliation is Centre Inria de l'Université de Rennes.
- 1 Gabriel Antoniu France · #227,253 worldwide 261 citations · 97 works
- 2 Jean Quilbeuf France · #962,490 worldwide 25 citations · 15 works
- 3 Cédric Herzet France · #1,028,555 worldwide 61 citations · 47 works
- 4 Charles Kervrann France · #1,038,579 worldwide 63 citations · 83 works
Which keywords describe research at Centre Inria de l'Université de Rennes?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Networks, Sparse Representation, Depth Estimation, Unsupervised Learning, Generative Adversarial Networks and Medical Imaging.
- Sparse Representations
- Type Inference
- Formal Verification
- Static Analysis
- Anomaly Detection
- Automata
- Virtualization
- Simulation
- Haptic Interfaces
- Image Processing
- Security Analysis
- Embodiment
- Convolutional Neural Networks
- Model Checking
- Stereo Vision
- Image
- Generative Adversarial Networks
- Depth Estimation
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Networks
- Sparse Representation
- Unsupervised Learning
- Medical Imaging
- Optical Flow
- Super-Resolution
- Distributed Systems
- Hyperspectral Imaging
- Side-Channel Attacks
- Fault Tolerance
- IoT Security
- Temporal Logic
- Virtual Reality
- Wavelet Transform
- Parallel Computing
- Satisfiability Modulo Theories
- Symbolic Model Checker
- High-Performance Computing
- Image Denoising
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning25▲ 6.3×48 topics
- Neural Networks13▲ 7.3×21 topics
- Convolutional Networks11▲ 67×3 topics
- Machine Learning9▲ 2.4×26 topics
- Sparse Representation7▲ 31×4 topics
- Depth Estimation6▲ 62×2 topics
- Unsupervised Learning6▲ 36×3 topics
- Generative Adversarial Networks6▲ 62×2 topics
- Medical Imaging6▲ 9.3×5 topics
- Image5▲ 115×1 topic
- Optical Flow5▲ 90×1 topic
- Stereo Vision5▲ 90×1 topic
- Super-Resolution5▲ 115×1 topic
- Model Checking5▲ 97×3 topics
- Distributed Systems4▲ 22×6 topics
- Convolutional Neural Networks3▲ 4.0×7 topics
- Hyperspectral Imaging3▲ 10×2 topics
- Embodiment3▲ 15×2 topics
- Side-Channel Attacks3▲ 61×3 topics
- Security Analysis3▲ 16×3 topics
- Fault Tolerance3▲ 17×5 topics
- Image Processing3▲ 5.9×4 topics
- IoT Security3▲ 7.9×3 topics
- Haptic Interfaces3▲ 44×2 topics
- Temporal Logic3▲ 75×2 topics
- Simulation3▲ 9.4×4 topics
- Virtual Reality3▲ 4.8×5 topics
- Virtualization3▲ 30×2 topics
- Wavelet Transform3▲ 10×3 topics
- Automata3▲ 82×2 topics
- Parallel Computing3▲ 19×4 topics
- Anomaly Detection2▲ 7.3×3 topics
- Satisfiability Modulo Theories2▲ 119×1 topic
- Static Analysis2▲ 113×2 topics
- Symbolic Model Checker2▲ 119×1 topic
- Formal Verification2▲ 156×1 topic
- High-Performance Computing2▲ 24×2 topics
- Type Inference2▲ 156×1 topic
- Image Denoising2▲ 42×1 topic
- Sparse Representations2▲ 42×1 topic
Which research topics does Centre Inria de l'Université de Rennes publish most on?
By volume in 2022–2025: Advanced Image Processing Techniques, Advanced Vision and Imaging, Formal Methods in Verification and Logic, programming, and type systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 5 works
- 2 Advanced Vision and Imaging Computer Vision and Pattern Recognition 5 works
- 3 Formal Methods in Verification Computational Theory and Mathematics 2 works
- 4 Logic, programming, and type systems Artificial Intelligence 2 works
- 5 Image and Signal Denoising Methods Computer Vision and Pattern Recognition 2 works
- 6 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 2 works
- 7 Virtual Reality Applications and Impacts Human-Computer Interaction 2 works
- 8 Security and Verification in Computing Artificial Intelligence 2 works
- 9 Tactile and Sensory Interactions Cognitive Neuroscience 2 works
- 10 Image Enhancement Techniques Computer Vision and Pattern Recognition 2 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Centre Inria de l'Université de Rennes's research output changed?
Output in 2018–2022 was 44% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Rennes
- Université de Rennes
- Université Rennes 2
- Centre Hospitalier Universitaire de Rennes
- Institut de Recherche en Informatique et Systèmes Aléatoires
- Institut Agro Rennes-Angers
- École des Hautes Études en Santé Publique
- Institut des Sciences Chimiques de Rennes
- Institut de l'Ouest : Droit et Europe
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.