Laboratoire de Recherche en Informatique
In research, Laboratoire de Recherche en Informatique stands highest in Computer Science (#1,033 of 7,020 worldwide), Physical Sciences (#5,640 of 21,541 worldwide) and Artificial Intelligence (#1,131 of 2,981 worldwide), over all time.
- World rank, 2022–2025
- #22,497 of 28,054 · #9,164 all time
- Rank in France
- #1,055 of 1,422
- Research works
- 2k ▼ 37% vs 2013–17
- Citations
- 30k 14.9 per fractional work
- Top-10% rate
- 10.9% record average 16.5%
- Open access
- 39% world 28%
What is Laboratoire de Recherche en Informatique known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Computer ScienceField | #1,033 of 7,020 | 19.8% | 1,262 | |
| Physical SciencesDomain | #5,640 of 21,541 | 19.4% | 1,615 | |
| Artificial IntelligenceSubfield | #1,131 of 2,981 | 22.4% | 382 | |
| Computer Networks and CommunicationsSubfield | #858 of 1,873 | 19.3% | 297 | |
| EngineeringField | #6,087 of 11,412 | 18.3% | 218 | |
| Computational Theory and MathematicsSubfield | #613 of 1,086 | 19.1% | 232 | |
| Social SciencesDomain | #11,793 of 16,945 | 16.6% | 222 |
Each strip is that field’s whole ranked pool, with the notch where Laboratoire de Recherche en Informatique 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).
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, 5.2×. Every wedge is a field page.
- Computer Science 5.2×
- Decision Sciences 4.1×
- Neuroscience 1.4×
- Social Sciences 1.2×
- Arts and Humanities 1.0×
- Engineering 0.9×
- Health Professions 0.9×
- Psychology 0.8×
- Mathematics 0.6×
- Business, Management and Accounting 0.6×
- Chemistry 0.5×
- Earth and Planetary Sciences 0.5×
- Physics and Astronomy 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Medicine 0.3×
- Environmental Science 0.3×
- Dentistry 0.3×
- Agricultural and Biological Sciences 0.2×
- Materials Science 0.2×
- Economics, Econometrics and Finance 0.2×
- Energy 0.1×
Who are the top researchers at Laboratoire de Recherche en Informatique?
Ranked on the composite score, Jean-Christophe Filliâtre, Sylvain Conchon and Cécile Germain lead among researchers whose main affiliation is Laboratoire de Recherche en Informatique.
- 1 Jean-Christophe Filliâtre France · #176,182 worldwide 159 citations · 46 works
- 2 Sylvain Conchon France · #194,110 worldwide 107 citations · 31 works
- 3 Cécile Germain France · #254,858 worldwide 129 citations · 26 works
- 4 Arpad Rimmel France · #276,277 worldwide 104 citations · 22 works
- 5 Oleg Lodygensky France · #297,679 worldwide 172 citations · 16 works
- 6 Pierre Lemarinier France · #340,862 worldwide 150 citations · 15 works
- 7 Marie-Claude Gaudel France · #389,769 worldwide 139 citations · 30 works
- 8 François Goasdoué France · #392,126 worldwide 68 citations · 42 works
- 9 Chantal Reynaud France · #413,984 worldwide 46 citations · 26 works
- 10 Khaldoun Al Agha France · #444,759 worldwide 137 citations · 71 works
Which keywords describe research at Laboratoire de Recherche en Informatique?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Community Engagement, Local Development, Territorial Governance, Citizen Participation and Social Justice.
- Migrations
- Ontology
- Linked Data
- Deep Neural Networks
- Islam
- Feature Selection
- Anomaly Detection
- Public Action
- Educational Policies
- Graph Coloring
- Classification
- Gender Studies
- Knowledge Representation
- Feature Extraction
- Sustainable Development
- Convolutional Neural Networks
- Social Media
- Territorial Governance
- Community Engagement
- Machine Learning
- Deep Learning
- Neural Networks
- Local Development
- Social Justice
- Citizen Participation
- Environmental Participation
- Big Data
- Metaheuristics
- Data Integration
- Optimization
- Medical Imaging
- Description Logics
- Professional Practices
- Semantic Web
- Archaeology
- Information Retrieval
- North Africa
- Face Recognition
- Medical Image Analysis
- Text Classification
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 Learning12▲ 4.2×44 topics
- Machine Learning10▲ 3.8×36 topics
- Neural Networks6▲ 4.3×16 topics
- Community Engagement4▲ 13×3 topics
- Local Development4▲ 37×2 topics
- Territorial Governance4▲ 34×2 topics
- Social Justice3▲ 6.2×3 topics
- Social Media3▲ 2.5×7 topics
- Citizen Participation3▲ 28×2 topics
- Convolutional Neural Networks3▲ 4.5×7 topics
- Environmental Participation3▲ 40×1 topic
- Sustainable Development3▲ 2.0×1 topic
- Big Data3▲ 3.5×9 topics
- Feature Extraction3▲ 6.7×8 topics
- Metaheuristics3▲ 38×4 topics
- Knowledge Representation2▲ 31×3 topics
- Data Integration2▲ 16×3 topics
- Gender Studies2▲ 17×2 topics
- Optimization2▲ 5.4×4 topics
- Classification2▲ 5.3×8 topics
- Medical Imaging2▲ 4.7×5 topics
- Graph Coloring2▲ 165×2 topics
- Description Logics2▲ 43×2 topics
- Educational Policies2▲ 18×2 topics
- Professional Practices2▲ 52×1 topic
- Public Action2▲ 52×1 topic
- Semantic Web2▲ 20×3 topics
- Anomaly Detection2▲ 6.1×3 topics
- Archaeology2▲ 13×2 topics
- Feature Selection2▲ 8.1×5 topics
- Information Retrieval2▲ 8.0×3 topics
- Islam2▲ 8.3×2 topics
- North Africa2▲ 45×2 topics
- Deep Neural Networks1▲ 16×3 topics
- Face Recognition1▲ 14×2 topics
- Linked Data1▲ 42×1 topic
- Medical Image Analysis1▲ 8.7×3 topics
- Ontology1▲ 21×1 topic
- Text Classification1▲ 10×2 topics
- Migrations1▲ 200×1 topic
Which research topics does Laboratoire de Recherche en Informatique publish most on?
By volume in 2022–2025: French Urban and Social Studies, Education, sociology, and vocational training, Semantic Web and Ontologies and African Studies and Geopolitics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 French Urban and Social Studies Sociology and Political Science 3 works
- 2 Education, sociology, and vocational training Sociology and Political Science 2 works
- 3 Semantic Web and Ontologies Artificial Intelligence 1 works
- 4 African Studies and Geopolitics Anthropology 1 works
- 5 Constraint Satisfaction and Optimization Computer Networks and Communications 1 works
- 6 Fault Detection and Control Systems Control and Systems Engineering 1 works
- 7 Topic Modeling Artificial Intelligence 1 works
- 8 AI in cancer detection Artificial Intelligence 1 works
- 9 Face and Expression Recognition Computer Vision and Pattern Recognition 1 works
- 10 Social Sciences and Governance Urban Studies 1 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 Laboratoire de Recherche en Informatique's research output changed?
Output in 2018–2022 was 37% 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 Gif-sur-Yvette
- Université Paris-Saclay
- CEA Paris-Saclay
- Supélec
- École Normale Supérieure Paris-Saclay
- Institut de Chimie des Substances Naturelles
- Direction des Energies
- CentraleSupélec
- Institut de Physique Théorique
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.