Mathématiques et Informatique pour la Complexité et les Systèmes
- Research works
- 75 ▲ 106% vs 2013–17
- Citations
- 553 7.4 per fractional work
- Top-10% rate
- 6.9% record average 16.5%
- Open access
- 73% world 28%
Not ranked overall: Mathématiques et Informatique pour la Complexité et les Systèmes is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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: Mathematics, 5.5×. Every wedge is a field page.
- Mathematics 5.5×
- Computer Science 4.8×
- Decision Sciences 4.0×
- Economics, Econometrics and Finance 2.7×
- Physics and Astronomy 1.4×
- Agricultural and Biological Sciences 1.2×
- Biochemistry, Genetics and Molecular Biology 1.1×
- Engineering 1.1×
- Social Sciences 0.5×
- Business, Management and Accounting 0.4×
- Neuroscience 0.4×
- Arts and Humanities 0.3×
- Health Professions 0.3×
- Earth and Planetary Sciences 0.2×
- Medicine 0.2×
- Psychology 0.2×
- Environmental Science 0.1×
Who are the top researchers at Mathématiques et Informatique pour la Complexité et les Systèmes?
Ranked on the composite score, Céline Hudelot, Vincent Mousseau and Wassila Ouerdane lead among researchers whose main affiliation is Mathématiques et Informatique pour la Complexité et les Systèmes.
- 1 Céline Hudelot ?? · #517,485 worldwide 70 citations · 49 works
- 2 Vincent Mousseau ?? · #689,648 worldwide 111 citations · 51 works
- 3 Wassila Ouerdane ?? · #1,412,997 worldwide 13 citations · 20 works
- 4 Alexandre Richard ?? · #1,601,693 worldwide 10 citations · 17 works
Which keywords describe research at Mathématiques et Informatique pour la Complexité et les Systèmes?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Artificial Neural Networks, Backpropagation Learning, Self-Organizing Maps, Machine Learning, Text Classification and Machine Translation.
- Territorial Governance
- Ridesharing
- Community Engagement
- Neural Machine Translation
- Machine Translation
- Self-Organizing Maps
- Artificial Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Backpropagation Learning
- Text Classification
- Word Representation
- Statistical Machine Translation
- Environmental Impacts
- Shared Autonomous Vehicles
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 16 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 16 words, with their numbers
- Deep Learning5▲ 3.9×22 topics
- Neural Networks5▲ 8.5×13 topics
- Machine Learning3▲ 2.6×22 topics
- Artificial Neural Networks2▲ 12×2 topics
- Backpropagation Learning2▲ 64×1 topic
- Self-Organizing Maps2▲ 64×1 topic
- Text Classification1▲ 23×2 topics
- Machine Translation1▲ 21×1 topic
- Word Representation1▲ 29×1 topic
- Neural Machine Translation1▲ 32×1 topic
- Statistical Machine Translation1▲ 32×1 topic
- Community Engagement1▲ 9.0×2 topics
- Environmental Impacts1▲ 11×2 topics
- Ridesharing1▲ 53×1 topic
- Shared Autonomous Vehicles1▲ 53×1 topic
- Territorial Governance1▲ 24×2 topics
Which research topics does Mathématiques et Informatique pour la Complexité et les Systèmes publish most on?
By volume in 2022–2025: Neural Networks and Applications, Topic Modeling, Natural Language Processing Techniques and Transportation and Mobility Innovations.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Neural Networks and Applications Artificial Intelligence 2 works
- 2 Topic Modeling Artificial Intelligence 1 works
- 3 Natural Language Processing Techniques Artificial Intelligence 1 works
- 4 Transportation and Mobility Innovations Automotive Engineering 1 works
- 5 Social Sciences and Governance Urban Studies 1 works
- 6 Financial Risk and Volatility Modeling Finance 1 works
- 7 Greenhouse Technology and Climate Control Plant Science 1 works
- 8 Matrix Theory and Algorithms Computational Theory and Mathematics 0 works
- 9 RNA and protein synthesis mechanisms Molecular Biology 0 works
- 10 DNA and Biological Computing Molecular Biology 0 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 Mathématiques et Informatique pour la Complexité et les Systèmes's research output changed?
Output in 2018–2022 was 106% 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
- Laboratoire de Mécanique Paris-Saclay
- Laboratoire Universitaire de Recherche en Production Automatisée
- Analyses et Expérimentations pour les Ecosystèmes
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.