Laboratoire Interdisciplinaire des Sciences du Numérique
In research, Laboratoire Interdisciplinaire des Sciences du Numérique stands highest in Computer Science (#2,849 of 4,667 worldwide), Physical Sciences (#8,128 of 12,888 worldwide) and Social Sciences (#9,088 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 8.3× its share of world research.
- World rank, 2022–2025
- #13,462 of 28,054 · #30,825 all time
- Rank in France
- #561 of 1,422
- Research works
- 390 ▲ 19145% vs 2013–17
- Citations
- 1.6k 4.0 per fractional work
- Top-10% rate
- 10.2% record average 16.5%
- Open access
- 72% world 28%
What is Laboratoire Interdisciplinaire des Sciences 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 | #2,849 of 4,667 | 10.1% | 120 | #5610 | |
| Physical SciencesDomain | #8,128 of 12,888 | 10.0% | 183 | #17665 | |
| Social SciencesDomain | #9,088 of 10,521 | 9.2% | 73 | — |
Each strip is that field’s whole ranked pool, with the notch where Laboratoire Interdisciplinaire des Sciences 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).
What does Laboratoire Interdisciplinaire des Sciences du Numérique specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 8.3× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 58.6 works8.3×
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, 5.3×. Every wedge is a field page.
- Computer Science 5.3×
- Decision Sciences 2.7×
- Psychology 2.6×
- Mathematics 1.8×
- Neuroscience 1.5×
- Arts and Humanities 1.5×
- Physics and Astronomy 1.3×
- Engineering 0.9×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Health Professions 0.7×
- Earth and Planetary Sciences 0.7×
- Social Sciences 0.6×
- Business, Management and Accounting 0.5×
- Chemical Engineering 0.5×
- Energy 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Materials Science 0.3×
- Agricultural and Biological Sciences 0.2×
- Economics, Econometrics and Finance 0.2×
- Environmental Science 0.2×
- Medicine 0.1×
- Chemistry 0.0×
Who are the top researchers at Laboratoire Interdisciplinaire des Sciences du Numérique?
Ranked on the composite score, Lionel Mathelin, Nicolas Grenier and Anisia Popescu lead among researchers whose main affiliation is Laboratoire Interdisciplinaire des Sciences du Numérique.
- 1 Lionel Mathelin France · #317,463 worldwide 88 citations · 34 works
- 2 Nicolas Grenier France · #346,229 worldwide 89 citations · 25 works
- 3 Anisia Popescu France · #659,773 worldwide 2 citations · 18 works
- 4 Christophe Servan France · #671,789 worldwide 51 citations · 26 works
- 5 Didier Lucor France · #679,247 worldwide 82 citations · 41 works
- 6 Sahar Ghannay France · #804,393 worldwide 64 citations · 33 works
- 7 Vincent Boccara France · #919,654 worldwide 4 citations · 16 works
- 8 Bérengère Podvin France · #984,359 worldwide 15 citations · 28 works
- 9 Mathilde Hutin France · #1,139,584 worldwide 4 citations · 27 works
- 10 Onofrio Semeraro France · #1,495,298 worldwide 2 citations · 21 works
Which keywords describe research at Laboratoire Interdisciplinaire des Sciences du Numérique?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Language Acquisition, Information Retrieval and Machine Learning.
- User Experience
- Linked Data
- Language Education
- Early Intervention
- Description Logics
- Large-Eddy Simulation
- Pragmatics
- Gesture Recognition
- Acoustic Phonetics
- Sign Language
- Heat Transfer
- Prosody
- Knowledge Representation
- Semantic Similarity
- Text Classification
- Data Integration
- Information Retrieval
- Statistical Machine Translation
- Corpus Linguistics
- Neural Networks
- Deep Learning
- Machine Learning
- Neural Machine Translation
- Language Acquisition
- Big Data
- Topic Modeling
- Machine Translation
- Word Representation
- Speech Perception
- Semantic Web
- Second Language Learning
- Perceptual Learning
- Phonetics
- Bilingualism
- Human-Computer Interaction
- Sociolinguistics
- Multilingualism
- Neural Correlates
- Turbulent Flows
- Ontology
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 Learning31▲ 3.1×55 topics
- Neural Networks24▲ 5.3×27 topics
- Machine Learning19▲ 1.96×54 topics
- Corpus Linguistics15▲ 24×5 topics
- Neural Machine Translation12▲ 44×1 topic
- Statistical Machine Translation12▲ 44×1 topic
- Language Acquisition11▲ 33×2 topics
- Information Retrieval10▲ 15×4 topics
- Big Data9▲ 3.6×14 topics
- Data Integration9▲ 18×5 topics
- Topic Modeling9▲ 20×2 topics
- Text Classification9▲ 19×3 topics
- Machine Translation8▲ 17×2 topics
- Semantic Similarity8▲ 23×1 topic
- Word Representation8▲ 23×1 topic
- Knowledge Representation8▲ 31×5 topics
- Speech Perception8▲ 33×2 topics
- Prosody8▲ 71×2 topics
- Semantic Web8▲ 28×4 topics
- Heat Transfer7▲ 4.8×8 topics
- Second Language Learning7▲ 26×2 topics
- Sign Language7▲ 39×2 topics
- Perceptual Learning7▲ 48×2 topics
- Acoustic Phonetics7▲ 92×1 topic
- Phonetics7▲ 92×1 topic
- Gesture Recognition6▲ 29×3 topics
- Bilingualism6▲ 15×5 topics
- Pragmatics6▲ 12×5 topics
- Human-Computer Interaction6▲ 11×6 topics
- Large-Eddy Simulation6▲ 10×4 topics
- Sociolinguistics5▲ 9.8×4 topics
- Description Logics5▲ 37×2 topics
- Multilingualism5▲ 11×2 topics
- Early Intervention5▲ 19×2 topics
- Neural Correlates5▲ 18×6 topics
- Language Education5▲ 15×2 topics
- Turbulent Flows5▲ 17×2 topics
- Linked Data5▲ 41×1 topic
- Ontology5▲ 21×1 topic
- User Experience5▲ 20×3 topics
Which research topics does Laboratoire Interdisciplinaire des Sciences du Numérique publish most on?
By volume in 2022–2025: Natural Language Processing Techniques, Topic Modeling, Phonetics and Phonology Research and Semantic Web and Ontologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Natural Language Processing Techniques Artificial Intelligence 12 works
- 2 Topic Modeling Artificial Intelligence 8 works
- 3 Phonetics and Phonology Research Experimental and Cognitive Psychology 7 works
- 4 Semantic Web and Ontologies Artificial Intelligence 5 works
- 5 French Language Learning Methods Linguistics and Language 4 works
- 6 Fluid Dynamics and Turbulent Flows Computational Mechanics 4 works
- 7 Hearing Impairment and Communication Developmental and Educational Psychology 4 works
- 8 Data Visualization and Analytics Computer Vision and Pattern Recognition 4 works
- 9 Speech and dialogue systems Artificial Intelligence 4 works
- 10 Linguistics and Discourse Analysis Philosophy 4 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 Interdisciplinaire des Sciences du Numérique's research output changed?
Output in 2018–2022 was 19145% higher 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.