Département d'Informatique
In research, Département d'Informatique stands highest in Computer Science (#3,784 of 4,667 worldwide) and Physical Sciences (#10,723 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 5.1× its share of world research.
- World rank, 2022–2025
- #17,518 of 28,054 · #7,402 all time
- Rank in France
- #796 of 1,422
- Research works
- 2.5k ▼ 12% vs 2013–17
- Citations
- 35k 13.8 per fractional work
- Top-10% rate
- 7.8% record average 16.5%
- Open access
- 39% world 28%
What is Département d'Informatique 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 | #3,784 of 4,667 | 8.1% | 74 | #1047 | |
| Physical SciencesDomain | #10,723 of 12,888 | 7.5% | 116 | #5542 |
Each strip is that field’s whole ranked pool, with the notch where Département d'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).
What does Département d'Informatique specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 5.1× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 26.2 works5.1×
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, 4.5×. Every wedge is a field page.
- Computer Science 4.5×
- Mathematics 1.8×
- Decision Sciences 1.8×
- Arts and Humanities 1.7×
- Health Professions 1.7×
- Physics and Astronomy 1.4×
- Neuroscience 1.1×
- Business, Management and Accounting 0.9×
- Social Sciences 0.8×
- Engineering 0.8×
- Economics, Econometrics and Finance 0.7×
- Agricultural and Biological Sciences 0.6×
- Psychology 0.6×
- Medicine 0.5×
- Energy 0.5×
- Veterinary 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Immunology and Microbiology 0.3×
- Environmental Science 0.3×
- Nursing 0.2×
- Earth and Planetary Sciences 0.2×
- Materials Science 0.1×
- Chemistry 0.1×
Who are the top researchers at Département d'Informatique?
Ranked on the composite score, Bruno Defude, Pascal Mbélesso and René Dussaud lead among researchers whose main affiliation is Département d'Informatique.
- 1 Bruno Defude France · #215,397 worldwide 108 citations · 30 works
- 2 Pascal Mbélesso France · #309,619 worldwide 14 citations · 41 works
- 3 René Dussaud France · #351,597 worldwide 224 citations · 391 works
- 4 P Adeleine France · #507,141 worldwide 66 citations · 21 works
- 5 Alexandre Cruquenaire France · #547,476 worldwide 4 citations · 28 works
- 6 Alain Maxime Mouanga France · #556,655 worldwide 7 citations · 23 works
- 7 Olivier Berger France · #609,680 worldwide 7 citations · 28 works
- 8 Serge Garlatti France · #746,626 worldwide 12 citations · 44 works
- 9 Pierre‐Marie Preux France · #803,839 worldwide 208 citations · 363 works
- 10 L Dusserre France · #938,119 worldwide 15 citations · 16 works
Which keywords describe research at Département d'Informatique?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Internet of Things, Model Checking, Local Development, Territorial Governance and Big Data.
- Fog Computing
- Symbolic Model Checker
- Mobile Edge Computing
- Healthcare Policy
- Resource Allocation
- Environmental Participation
- Convex Optimization
- Gender Studies
- 5G Networks
- Healthcare Legislation
- Social Determinants of Health
- Temporal Logic
- Automata
- Data Mining
- Local Development
- Community Engagement
- Model Checking
- Healthcare
- Internet of Things
- Machine Learning
- Deep Learning
- Neural Networks
- Big Data
- Artificial Intelligence
- Security
- Social Justice
- Territorial Governance
- Distributed Systems
- IoT Security
- Citizen Participation
- Corpus Linguistics
- Patient Rights
- Digital Health
- Approximation Algorithms
- Cryptanalysis
- Proximity and Innovation
- Edge Computing
- Inequalities
- Satisfiability Modulo Theories
- Ethnographic Research
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 Learning21▲ 3.0×58 topics
- Machine Learning16▲ 2.3×51 topics
- Neural Networks9▲ 2.9×26 topics
- Internet of Things7▲ 3.8×11 topics
- Big Data6▲ 3.3×16 topics
- Healthcare6▲ 2.7×10 topics
- Artificial Intelligence6▲ 2.0×18 topics
- Model Checking5▲ 51×3 topics
- Security5▲ 3.3×12 topics
- Community Engagement4▲ 6.3×3 topics
- Social Justice4▲ 3.6×4 topics
- Local Development4▲ 18×2 topics
- Territorial Governance4▲ 16×2 topics
- Data Mining4▲ 2.7×10 topics
- Distributed Systems4▲ 12×5 topics
- Automata4▲ 60×2 topics
- IoT Security3▲ 5.0×3 topics
- Temporal Logic3▲ 48×2 topics
- Citizen Participation3▲ 12×2 topics
- Social Determinants of Health3▲ 6.6×3 topics
- Corpus Linguistics3▲ 6.5×5 topics
- Healthcare Legislation3▲ 24×1 topic
- Patient Rights3▲ 19×1 topic
- 5G Networks3▲ 6.7×3 topics
- Digital Health3▲ 12×3 topics
- Gender Studies3▲ 8.7×2 topics
- Approximation Algorithms3▲ 19×5 topics
- Convex Optimization3▲ 17×5 topics
- Cryptanalysis3▲ 16×4 topics
- Environmental Participation3▲ 17×1 topic
- Proximity and Innovation3▲ 17×1 topic
- Resource Allocation3▲ 7.4×7 topics
- Edge Computing3▲ 9.4×2 topics
- Healthcare Policy3▲ 13×1 topic
- Inequalities3▲ 35×1 topic
- Mobile Edge Computing2▲ 7.5×2 topics
- Satisfiability Modulo Theories2▲ 68×1 topic
- Symbolic Model Checker2▲ 68×1 topic
- Ethnographic Research2▲ 21×2 topics
- Fog Computing2▲ 9.8×1 topic
Which research topics does Département d'Informatique publish most on?
By volume in 2022–2025: Health, Medicine and Society, French Urban and Social Studies, Healthcare Systems and Practices and Formal Methods in Verification.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Health, Medicine and Society General Health Professions 3 works
- 2 French Urban and Social Studies Sociology and Political Science 3 works
- 3 Healthcare Systems and Practices General Health Professions 3 works
- 4 Formal Methods in Verification Computational Theory and Mathematics 2 works
- 5 IoT and Edge/Fog Computing Computer Networks and Communications 2 works
- 6 Education, sociology, and vocational training Sociology and Political Science 2 works
- 7 Cultural Insights and Digital Impacts Computer Networks and Communications 2 works
- 8 Digital Transformation in Industry Industrial and Manufacturing Engineering 2 works
- 9 Social Sciences and Governance Urban Studies 2 works
- 10 Logic, programming, and type systems Artificial Intelligence 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 Département d'Informatique's research output changed?
Output in 2018–2022 was 12% 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 Paris
- Centre National de la Recherche Scientifique
- Inserm
- Sorbonne Université
- Université Paris Cité
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives
- Université Paris 1 Panthéon-Sorbonne
- Institut Pasteur
- Assistance Publique – Hôpitaux de Paris
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.