Idiap Research Institute
In research, Idiap Research Institute stands highest in Computer Science (#2,844 of 4,667 worldwide) and Physical Sciences (#10,538 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 14.7× its share of world research.
- World rank, 2022–2025
- #11,986 of 28,054 · #10,288 all time
- Rank in Switzerland
- #70 of 220
- Research works
- 1.7k ▼ 7% vs 2013–17
- Citations
- 43k 24.8 per fractional work
- Top-10% rate
- 17.8% record average 16.5%
- Open access
- 78% world 28%
What is Idiap Research Institute 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #2,844 of 4,667 | 19.2% | 139 | #1286 | |
| Physical SciencesDomain | #10,538 of 12,888 | 18.4% | 185 | #7719 |
Each strip is that field’s whole ranked pool, with the notch where Idiap Research Institute 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 Idiap Research Institute specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 14.7× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 50.0 works15×
- Artificial IntelligenceSubfield · 52.8 works8.1×
- Computer ScienceField · 138.7 works6.6×
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, 6.6×. Every wedge is a field page.
- Computer Science 6.6×
- Decision Sciences 2.0×
- Psychology 1.2×
- Neuroscience 1.0×
- Social Sciences 0.9×
- Engineering 0.8×
- Mathematics 0.7×
- Physics and Astronomy 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Health Professions 0.4×
- Energy 0.4×
- Economics, Econometrics and Finance 0.4×
- Environmental Science 0.3×
- Nursing 0.3×
- Medicine 0.3×
- Business, Management and Accounting 0.3×
- Agricultural and Biological Sciences 0.2×
- Immunology and Microbiology 0.2×
- Chemistry 0.1×
- Dentistry 0.1×
- Arts and Humanities 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Earth and Planetary Sciences 0.1×
- Materials Science 0.0×
Who are the top researchers at Idiap Research Institute?
Ranked on the composite score, Samy Bengio, Ronan Collobert and Sébastien Marcel lead among researchers whose main affiliation is Idiap Research Institute.
- 1 Samy Bengio Switzerland · #3,799 worldwide 1.6k citations · 90 works
- 2 Ronan Collobert Switzerland · #18,563 worldwide 2.7k citations · 39 works
- 3 Sébastien Marcel Switzerland · #32,352 worldwide 860 citations · 106 works
- 4 Daniel Gática-Pérez Switzerland · #41,214 worldwide 997 citations · 113 works
- 5 François Fleuret Switzerland · #62,570 worldwide 635 citations · 67 works
- 6 Hervé Bourlard Switzerland · #106,881 worldwide 623 citations · 110 works
- 7 Francesco Orabona Switzerland · #149,921 worldwide 327 citations · 50 works
- 8 Iain McCowan Switzerland · #158,574 worldwide 376 citations · 19 works
- 9 André Anjos Switzerland · #160,884 worldwide 421 citations · 19 works
- 10 Sylvain Calinon Switzerland · #167,737 worldwide 366 citations · 70 works
Which keywords describe research at Idiap Research Institute?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Face Recognition, Pose Estimation, Age Estimation, Facial Landmark Detection and Security.
- Statistical Machine Translation
- Dimensionality Reduction
- Ensemble Methods
- Local Binary Patterns
- Semantic Similarity
- Machine Translation
- Speaker Verification
- Fingerprint
- Acoustic Modeling
- Topic Modeling
- Judicial Activism
- Constitutional Law
- Deep Neural Networks
- Legal Theory
- Human Rights
- Feature Extraction
- Facial Landmark Detection
- Machine Learning
- Face Recognition
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Pose Estimation
- Age Estimation
- Security
- Authentication
- Legal Philosophy
- Social Justice
- Environmental Law
- Civil Rights
- Information Retrieval
- Privacy
- Biometric Recognition
- Sparse Representation
- Support Vector Machines
- Text Classification
- Word Representation
- Feature Selection
- Corpus Linguistics
- Neural Machine Translation
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 Learning81▲ 8.8×55 topics
- Neural Networks40▲ 9.7×20 topics
- Convolutional Neural Networks36▲ 18×9 topics
- Face Recognition28▲ 91×2 topics
- Pose Estimation21▲ 69×2 topics
- Machine Learning20▲ 2.3×43 topics
- Age Estimation20▲ 113×1 topic
- Facial Landmark Detection20▲ 178×1 topic
- Security16▲ 9.4×5 topics
- Feature Extraction15▲ 12×7 topics
- Authentication13▲ 31×3 topics
- Human Rights12▲ 4.4×8 topics
- Legal Philosophy11▲ 63×2 topics
- Legal Theory11▲ 59×2 topics
- Social Justice11▲ 7.0×5 topics
- Deep Neural Networks11▲ 36×3 topics
- Environmental Law11▲ 19×3 topics
- Constitutional Law11▲ 29×2 topics
- Civil Rights10▲ 55×1 topic
- Judicial Activism10▲ 83×1 topic
- Information Retrieval10▲ 16×3 topics
- Topic Modeling9▲ 24×2 topics
- Privacy9▲ 12×2 topics
- Acoustic Modeling9▲ 91×1 topic
- Biometric Recognition9▲ 143×1 topic
- Fingerprint9▲ 143×1 topic
- Sparse Representation9▲ 18×4 topics
- Speaker Verification9▲ 91×1 topic
- Support Vector Machines9▲ 11×3 topics
- Machine Translation9▲ 20×2 topics
- Text Classification9▲ 21×2 topics
- Semantic Similarity9▲ 27×1 topic
- Word Representation9▲ 27×1 topic
- Local Binary Patterns9▲ 48×2 topics
- Feature Selection8▲ 14×2 topics
- Ensemble Methods8▲ 40×2 topics
- Corpus Linguistics8▲ 14×2 topics
- Dimensionality Reduction8▲ 42×2 topics
- Neural Machine Translation8▲ 31×1 topic
- Statistical Machine Translation8▲ 31×1 topic
Which research topics does Idiap Research Institute publish most on?
By volume in 2022–2025: Face recognition and analysis, Brazilian Legal Issues, Biometric Identification and Security and Speech Recognition and Synthesis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Face recognition and analysis Computer Vision and Pattern Recognition 20 works
- 2 Brazilian Legal Issues Law 10 works
- 3 Biometric Identification and Security Signal Processing 9 works
- 4 Speech Recognition and Synthesis Artificial Intelligence 9 works
- 5 Topic Modeling Artificial Intelligence 9 works
- 6 Face and Expression Recognition Computer Vision and Pattern Recognition 8 works
- 7 Natural Language Processing Techniques Artificial Intelligence 8 works
- 8 Robot Manipulation and Learning Control and Systems Engineering 7 works
- 9 Speech and Audio Processing Signal Processing 6 works
- 10 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 5 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 Idiap Research Institute's research output changed?
Output in 2018–2022 was 7% 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 Martigny-Combe
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.