Institut national de recherche en sciences et technologies du numérique
In research, Institut national de recherche en sciences et technologies du numérique stands highest in Computer Science (#169 of 4,667 worldwide), Physical Sciences (#1,689 of 12,888 worldwide) and Artificial Intelligence (#474 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications — Hardware and Architecture is 15.5× its share of world research.
- World rank, 2022–2025
- #2,618 of 28,054 · #525 all time
- Rank in France
- #44 of 1,422
- Research works
- 19k ▼ 35% vs 2013–17
- Citations
- 629k 32.6 per fractional work
- Top-10% rate
- 14.5% record average 16.5%
- Open access
- 47% world 28%
What is Institut national de recherche en sciences et technologies du numérique 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 | #169 of 4,667 | 15.5% | 692 | #13 | |
| Physical SciencesDomain | #1,689 of 12,888 | 14.8% | 1,169 | #373 | |
| Artificial IntelligenceSubfield | #474 of 1,884 | 16.7% | 247 | #60 | |
| Computer Vision and Pattern RecognitionSubfield | #348 of 941 | 20.1% | 110 | #12 | |
| EngineeringField | #2,479 of 6,636 | 13.2% | 284 | #377 | |
| Health SciencesDomain | #6,518 of 11,982 | 16.9% | 121 | #3914 | |
| Social SciencesDomain | #5,883 of 10,521 | 12.3% | 189 | #2212 | |
| MedicineField | #6,126 of 10,443 | 17.1% | 103 | #3282 | |
| Life SciencesDomain | #5,114 of 7,800 | 12.9% | 117 | #2664 | |
| Computer Networks and CommunicationsSubfield | #521 of 705 | 11.7% | 111 | #45 |
Each strip is that field’s whole ranked pool, with the notch where Institut national de recherche en sciences et technologies du numérique 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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#13 #169
- Physical Sciences#373 #1,689
- Artificial Intelligence#60 #474
- Computer Vision and Pattern Recognition#12 #348
- Engineering#377 #2,479
- Health Sciences#3,914 #6,518
- Social Sciences#2,212 #5,883
- Medicine#3,282 #6,126
- Life Sciences#2,664 #5,114
- Computer Networks and Communications#45 #521
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Institut national de recherche en sciences et technologies du numérique specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 15.5× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 27.9 works16×
- Computational Theory and MathematicsSubfield · 67.8 works9.9×
- Computer Networks and CommunicationsSubfield · 111.2 works7.8×
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, 5.6×. Every wedge is a field page.
- Computer Science 5.6×
- Mathematics 3.7×
- Decision Sciences 2.4×
- Neuroscience 1.3×
- Physics and Astronomy 1.3×
- Engineering 1.2×
- Earth and Planetary Sciences 1.0×
- Biochemistry, Genetics and Molecular Biology 0.7×
- Arts and Humanities 0.7×
- Economics, Econometrics and Finance 0.6×
- Psychology 0.5×
- Environmental Science 0.5×
- Veterinary 0.4×
- Health Professions 0.3×
- Medicine 0.3×
- Energy 0.3×
- Social Sciences 0.3×
- Agricultural and Biological Sciences 0.3×
- Business, Management and Accounting 0.3×
- Nursing 0.2×
- Immunology and Microbiology 0.2×
- Chemistry 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Chemical Engineering 0.2×
- Dentistry 0.1×
- Materials Science 0.1×
Who are the top researchers at Institut national de recherche en sciences et technologies du numérique?
Ranked on the composite score, Cordelia Schmid, Ivan Laptev and Hervé Delingette lead among researchers whose main affiliation is Institut national de recherche en sciences et technologies du numérique.
- 1 Cordelia Schmid France · #133 worldwide 5.8k citations · 172 works
- 2 Ivan Laptev France · #1,817 worldwide 3.1k citations · 88 works
- 3 Hervé Delingette France · #3,047 worldwide 1.6k citations · 120 works
- 4 Nicholas Ayache France · #3,620 worldwide 2.1k citations · 196 works
- 5 Hervé Jeǵou France · #4,477 worldwide 1.8k citations · 68 works
- 6 Albert Benveniste France · #4,507 worldwide 1.3k citations · 102 works
- 7 Jakob Verbeek France · #5,737 worldwide 1.6k citations · 70 works
- 8 Julien Mairal France · #8,069 worldwide 1.3k citations · 63 works
- 9 Serge Abiteboul France · #11,554 worldwide 1.1k citations · 140 works
- 10 Thierry Turletti France · #12,738 worldwide 888 citations · 81 works
Which keywords describe research at Institut national de recherche en sciences et technologies du numérique?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Model Checking, Distributed Systems, Security Analysis, Cryptanalysis and Side-Channel Attacks.
- Automata
- Inverse Problems
- High-Dimensional Data
- Virtualization
- Error-Correcting Codes
- Formal Verification
- Semantic Web
- Wireless Networks
- Resource Allocation
- Fluid-Structure Interaction
- Knowledge Representation
- Simulation
- Parallel Computing
- Unsupervised Learning
- Convolutional Networks
- Anomaly Detection
- Security
- Security Analysis
- Model Checking
- Machine Learning
- Deep Learning
- Neural Networks
- Distributed Systems
- Cryptanalysis
- Convolutional Neural Networks
- Side-Channel Attacks
- IoT Security
- Cryptography
- High-Performance Computing
- Temporal Logic
- Approximation Algorithms
- Data Integration
- Description Logics
- Static Analysis
- Workflow Management
- Type Inference
- 5G Networks
- Convex Optimization
- Hardware Implementations
- Depth Estimation
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 Learning204▲ 3.7×74 topics
- Machine Learning130▲ 2.5×73 topics
- Neural Networks94▲ 3.8×36 topics
- Model Checking40▲ 55×3 topics
- Distributed Systems35▲ 13×6 topics
- Security Analysis32▲ 12×4 topics
- Cryptanalysis31▲ 23×4 topics
- Security29▲ 2.8×18 topics
- Convolutional Neural Networks28▲ 2.4×13 topics
- Anomaly Detection27▲ 5.8×5 topics
- Side-Channel Attacks27▲ 36×3 topics
- Convolutional Networks26▲ 12×3 topics
- IoT Security26▲ 5.2×3 topics
- Unsupervised Learning23▲ 10×3 topics
- Cryptography23▲ 12×3 topics
- Parallel Computing22▲ 12×5 topics
- High-Performance Computing21▲ 16×3 topics
- Simulation21▲ 5.2×13 topics
- Temporal Logic21▲ 41×2 topics
- Knowledge Representation21▲ 15×5 topics
- Approximation Algorithms21▲ 18×5 topics
- Fluid-Structure Interaction20▲ 8.4×5 topics
- Data Integration20▲ 7.5×6 topics
- Resource Allocation20▲ 7.1×9 topics
- Description Logics20▲ 25×2 topics
- Wireless Networks20▲ 8.0×9 topics
- Static Analysis19▲ 66×2 topics
- Semantic Web19▲ 13×5 topics
- Workflow Management19▲ 17×2 topics
- Formal Verification19▲ 94×1 topic
- Type Inference19▲ 94×1 topic
- Error-Correcting Codes18▲ 35×2 topics
- 5G Networks18▲ 5.6×5 topics
- Virtualization18▲ 14×2 topics
- Convex Optimization18▲ 14×5 topics
- High-Dimensional Data18▲ 7.2×3 topics
- Hardware Implementations17▲ 38×2 topics
- Inverse Problems16▲ 9.2×4 topics
- Depth Estimation16▲ 11×2 topics
- Automata15▲ 34×2 topics
Which research topics does Institut national de recherche en sciences et technologies du numérique publish most on?
By volume in 2022–2025: Logic, programming, and type systems, Coding theory and cryptography, Cryptographic Implementations and Security and Natural Language Processing Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Logic, programming, and type systems Artificial Intelligence 19 works
- 2 Coding theory and cryptography Artificial Intelligence 15 works
- 3 Cryptographic Implementations and Security Artificial Intelligence 14 works
- 4 Natural Language Processing Techniques Artificial Intelligence 14 works
- 5 Advanced Vision and Imaging Computer Vision and Pattern Recognition 14 works
- 6 Parallel Computing and Optimization Techniques Hardware and Architecture 13 works
- 7 Formal Methods in Verification Computational Theory and Mathematics 13 works
- 8 Topic Modeling Artificial Intelligence 12 works
- 9 Cryptography and Data Security Artificial Intelligence 12 works
- 10 Anomaly Detection Techniques and Applications Artificial Intelligence 11 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 Institut national de recherche en sciences et technologies du numérique's research output changed?
Output in 2018–2022 was 35% 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.
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.