Modèles Dynamiques Corpus
In research, Modèles Dynamiques Corpus stands highest in Social Sciences (#10,295 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Arts and Humanities — Arts and Humanities is 13.1× its share of world research.
- World rank, 2022–2025
- #27,753 of 28,054 · #31,766 all time
- Rank in France
- #1,371 of 1,422
- Research works
- 1.5k ▼ 31% vs 2013–17
- Citations
- 4.2k 2.8 per fractional work
- Top-10% rate
- 5.3% record average 16.5%
- Open access
- 21% world 28%
What is Modèles Dynamiques Corpus 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 |
|---|---|---|---|---|---|
| Social SciencesDomain | #10,295 of 10,521 | 5.3% | 74 | #8123 |
Each strip is that field’s whole ranked pool, with the notch where Modèles Dynamiques Corpus 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 Modèles Dynamiques Corpus specialise in?
Where its research is concentrated relative to its size: Arts and Humanities takes 13.1× the share of its output that it takes of world research.
- Arts and HumanitiesField · 37.1 works13×
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: Arts and Humanities, 13.1×. Every wedge is a field page.
- Arts and Humanities 13.1×
- Social Sciences 2.3×
- Psychology 2.2×
- Computer Science 1.9×
- Neuroscience 1.3×
- Health Professions 1.3×
- Mathematics 0.8×
- Economics, Econometrics and Finance 0.3×
- Decision Sciences 0.3×
- Business, Management and Accounting 0.2×
- Materials Science 0.1×
- Agricultural and Biological Sciences 0.1×
- Medicine 0.1×
- Biochemistry, Genetics and Molecular Biology 0.0×
- Engineering 0.0×
Who are the top researchers at Modèles Dynamiques Corpus?
Ranked on the composite score, Sylvain Kahane, Sarah De Vogüé and Frédérique Sitri lead among researchers whose main affiliation is Modèles Dynamiques Corpus.
- 1 Sylvain Kahane France · #290,156 worldwide 63 citations · 21 works
- 2 Sarah De Vogüé France · #302,351 worldwide 3 citations · 36 works
- 3 Frédérique Sitri France · #327,383 worldwide 7 citations · 41 works
- 4 Marianne Doury France · #354,409 worldwide 9 citations · 29 works
- 5 Sarah Leroy France · #382,062 worldwide 36 citations · 21 works
- 6 Claude Chevrie‐Muller France · #427,754 worldwide 24 citations · 34 works
- 7 Michel Arrivé France · #451,257 worldwide 6 citations · 50 works
- 8 Jean-François Jeandillou France · #462,355 worldwide 0 citations · 62 works
- 9 Chantal Claudel France · #497,505 worldwide 4 citations · 22 works
- 10 Michel de Fornel France · #512,053 worldwide 17 citations · 27 works
Which keywords describe research at Modèles Dynamiques Corpus?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Sociolinguistics, Pragmatics, Discourse Analysis, Argumentation, Rhetoric, Multilingualism, Corpus Linguistics and Social Justice.
- Territorial Governance
- Neural Basis
- Digital Communication
- Bilingualism
- Language Diversity
- Specialized Language
- Language Policy
- Knowledge Representation
- Linguistic Historiography
- Public Action
- Language Contact
- Statistical Machine Translation
- Language Teaching
- Didactics
- Intercultural Communication
- Educational Technology
- Social Justice
- Multilingualism
- Argumentation
- Pragmatics
- Sociolinguistics
- Discourse Analysis
- Rhetoric
- Corpus Linguistics
- Cultural Diversity
- Language Education
- Pedagogy
- Migration and Integration
- Neural Machine Translation
- Gender Studies
- Professional Practices
- Language Learning
- Saussure
- Globalization
- Language
- Terminology
- Youth Language
- Social Interaction
- Syntax
- 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
- Sociolinguistics23▲ 124×7 topics
- Pragmatics21▲ 133×6 topics
- Discourse Analysis19▲ 75×3 topics
- Argumentation18▲ 594×1 topic
- Rhetoric18▲ 169×1 topic
- Multilingualism12▲ 72×3 topics
- Corpus Linguistics11▲ 51×5 topics
- Social Justice10▲ 17×5 topics
- Cultural Diversity9▲ 41×4 topics
- Educational Technology9▲ 7.6×6 topics
- Language Education9▲ 80×2 topics
- Intercultural Communication9▲ 192×2 topics
- Pedagogy8▲ 18×2 topics
- Didactics8▲ 85×1 topic
- Migration and Integration8▲ 585×1 topic
- Language Teaching6▲ 25×5 topics
- Neural Machine Translation6▲ 59×1 topic
- Statistical Machine Translation6▲ 59×1 topic
- Gender Studies5▲ 34×3 topics
- Language Contact5▲ 51×4 topics
- Professional Practices5▲ 121×1 topic
- Public Action5▲ 121×1 topic
- Language Learning4▲ 55×2 topics
- Linguistic Historiography4▲ 249×1 topic
- Saussure4▲ 249×1 topic
- Knowledge Representation4▲ 44×3 topics
- Globalization4▲ 1.90×11 topics
- Language Policy4▲ 25×2 topics
- Language3▲ 14×6 topics
- Specialized Language3▲ 190×1 topic
- Terminology3▲ 162×1 topic
- Language Diversity3▲ 105×1 topic
- Youth Language3▲ 351×1 topic
- Bilingualism3▲ 22×5 topics
- Social Interaction2▲ 5.9×6 topics
- Digital Communication2▲ 29×2 topics
- Syntax2▲ 29×2 topics
- Neural Basis2▲ 23×2 topics
- Machine Translation2▲ 11×2 topics
- Territorial Governance2▲ 15×2 topics
Which research topics does Modèles Dynamiques Corpus publish most on?
By volume in 2022–2025: Linguistics and Discourse Analysis, French Language Learning Methods, Natural Language Processing Techniques and Education, sociology, and vocational training.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Linguistics and Discourse Analysis Philosophy 18 works
- 2 French Language Learning Methods Linguistics and Language 8 works
- 3 Natural Language Processing Techniques Artificial Intelligence 6 works
- 4 Education, sociology, and vocational training Sociology and Political Science 5 works
- 5 Historical Linguistics and Language Studies Language and Linguistics 4 works
- 6 linguistics and terminology studies Language and Linguistics 3 works
- 7 Linguistic and Sociocultural Studies Linguistics and Language 3 works
- 8 Cultural Insights and Digital Impacts Computer Networks and Communications 2 works
- 9 French Urban and Social Studies Sociology and Political Science 1 works
- 10 Translation Studies and Practices Language and Linguistics 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 Modèles Dynamiques Corpus's research output changed?
Output in 2018–2022 was 31% 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 Nanterre
- Université Paris Nanterre
- Archéologies et Sciences de l’Antiquité
- Institut des Sciences Sociales du Politique
- Laboratoire d'ethnologie et de sociologie comparative
- Laboratoire Dynamiques Sociales et Recomposition des Espaces
- Etudes romanes
- Archéologie des Amériques
- EconomiX
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.