Modélisation aléatoire de Paris Nanterre
- Research works
- 30 ▼ 50% vs 2013–17
- Citations
- 325 10.9 per fractional work
- Top-10% rate
- 20.5% record average 16.5%
- Open access
- 54% world 28%
Not ranked overall: Modélisation aléatoire de Paris Nanterre 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.
Which keywords describe research at Modélisation aléatoire de Paris Nanterre?
By fractional works in all years, weighted toward what it does more of than the world: Model Selection, Interacting Particle Systems, Scaling Limits, Inverse Problems, Bayesian Methods, Variable Selection, Monte Carlo Simulation and Lasso.
- Phase Transitions
- Heterogeneous
- Risk Management
- Bayesian Monte Carlo
- Fractional Laplacian
- Regularization
- Lasso
- Monte Carlo Simulation
- Bayesian Methods
- Interacting Particle Systems
- Model Selection
- Scaling Limits
- Inverse Problems
- Variable Selection
- Nonlinear Equations
- Approximation Algorithms
- Sobolev Spaces
- Markov Chain
- Finite Element
- Multiscale Methods
Size is fractional works in all years 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 20 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 20 words, with their numbers
- Model Selection3▲ 80×3 topics
- Interacting Particle Systems2▲ 301×1 topic
- Scaling Limits2▲ 301×1 topic
- Bayesian Methods2▲ 93×2 topics
- Inverse Problems2▲ 52×3 topics
- Monte Carlo Simulation2▲ 18×3 topics
- Variable Selection2▲ 58×2 topics
- Lasso2▲ 145×1 topic
- Nonlinear Equations2▲ 37×2 topics
- Regularization2▲ 145×1 topic
- Approximation Algorithms1▲ 51×2 topics
- Fractional Laplacian1▲ 205×1 topic
- Sobolev Spaces1▲ 205×1 topic
- Bayesian Monte Carlo1▲ 416×1 topic
- Markov Chain1▲ 416×1 topic
- Risk Management1▲ 13×3 topics
- Finite Element1▲ 63×2 topics
- Heterogeneous1▲ 68×1 topic
- Multiscale Methods1▲ 68×1 topic
- Phase Transitions1▲ 25×2 topics
Which research topics does Modélisation aléatoire de Paris Nanterre publish most on?
By volume in 2022–2025: Markov Chains and Monte Carlo Methods, Fuzzy and Soft Set Theory, Point processes and geometric inequalities and Geometric Analysis and Curvature Flows.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Markov Chains and Monte Carlo Methods Statistics and Probability 0 works
- 2 Fuzzy and Soft Set Theory Management Science and Operations Research 0 works
- 3 Point processes and geometric inequalities Applied Mathematics 0 works
- 4 Geometric Analysis and Curvature Flows Applied Mathematics 0 works
- 5 Advanced Algebra and Logic Computational Theory and Mathematics 0 works
- 6 Rings, Modules, and Algebras Algebra and Number Theory 0 works
- 7 Random Matrices and Applications Statistics and Probability 0 works
- 8 Stochastic processes and statistical mechanics Mathematical Physics 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 Modélisation aléatoire de Paris Nanterre's research output changed?
Output in 2018–2022 was 50% 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
- Modèles Dynamiques Corpus
- Laboratoire Dynamiques Sociales et Recomposition des Espaces
- Etudes romanes
- Archéologie des Amériques
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.