Laboratoire de Probabilités et Modèles Aléatoires
In research, Laboratoire de Probabilités et Modèles Aléatoires stands highest in Physical Sciences (#5,191 of 21,541 worldwide), Social Sciences (#5,654 of 16,945 worldwide) and Mathematical Physics (#181 of 526 worldwide), over all time.
- World rank, all time
- #7,587 of 42,892
- Rank in France
- #487 of 2,321
- Research works
- 1.3k ▼ 69% vs 2013–17
- Citations
- 32k 25.3 per fractional work
- Top-10% rate
- 9.1% record average 16.5%
- Open access
- 54% world 28%
What is Laboratoire de Probabilités et Modèles Aléatoires known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #5,191 of 21,541 | 23.6% | 840 | |
| Social SciencesDomain | #5,654 of 16,945 | 30.3% | 366 | |
| Mathematical PhysicsSubfield | #181 of 526 | 24.7% | 201 | |
| Economics, Econometrics and FinanceField | #1,153 of 3,268 | 31.0% | 239 | |
| FinanceSubfield | #236 of 653 | 29.9% | 197 | |
| MathematicsField | #1,064 of 2,255 | 24.4% | 466 | |
| Computer ScienceField | #5,638 of 7,020 | 21.6% | 132 |
Each strip is that field’s whole ranked pool, with the notch where Laboratoire de Probabilités et Modèles Aléatoires 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).
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, 27.1×. Every wedge is a field page.
- Mathematics 27.1×
- Economics, Econometrics and Finance 7.8×
- Decision Sciences 6.5×
- Physics and Astronomy 3.5×
- Computer Science 2.4×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Engineering 0.5×
- Chemistry 0.4×
- Health Professions 0.4×
- Agricultural and Biological Sciences 0.3×
- Environmental Science 0.2×
- Business, Management and Accounting 0.2×
- Social Sciences 0.2×
- Arts and Humanities 0.1×
- Immunology and Microbiology 0.1×
- Materials Science 0.1×
- Medicine 0.1×
- Neuroscience 0.0×
- Earth and Planetary Sciences 0.0×
- Psychology 0.0×
Who are the top researchers at Laboratoire de Probabilités et Modèles Aléatoires?
Ranked on the composite score, Huyên Pham, Lucien Birgé and Loïc Le Gratiet lead among researchers whose main affiliation is Laboratoire de Probabilités et Modèles Aléatoires.
- 1 Huyên Pham France · #230,783 worldwide 137 citations · 35 works
- 2 Lucien Birgé France · #281,519 worldwide 180 citations · 17 works
- 3 Loïc Le Gratiet France · #331,573 worldwide 148 citations · 16 works
- 4 Francis Comets France · #417,952 worldwide 158 citations · 31 works
- 5 Gilles Pagès France · #442,175 worldwide 264 citations · 86 works
- 6 Sylvain Delattre France · #445,168 worldwide 98 citations · 17 works
- 7 Olivier Catoni France · #448,121 worldwide 116 citations · 19 works
- 8 A. B. Tsybakov France · #453,139 worldwide 108 citations · 23 works
- 9 Grégory Miermont France · #490,652 worldwide 109 citations · 15 works
- 10 Bruno Torrésani France · #495,722 worldwide 138 citations · 48 works
Which keywords describe research at Laboratoire de Probabilités et Modèles Aléatoires?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Monte Carlo Simulation, Option Pricing, Stochastic Calculus, Model Selection, Approximation Algorithms, Inverse Problems, Risk Management and Bayesian Inference.
- Risk
- Principal Component Analysis
- Insurance
- Fractal Dimension
- Numerical Integration
- Regularization
- Fractals
- Chaos
- Volatility
- Markov Chain
- Dirichlet Process
- Hidden Markov Models
- Variational Inference
- Interacting Particle Systems
- Clustering
- Bayesian Inference
- Neural Networks
- Approximation Algorithms
- Deep Learning
- Option Pricing
- Monte Carlo Simulation
- Stochastic Calculus
- Model Selection
- Inverse Problems
- Risk Management
- Dynamical Systems
- Convex Optimization
- Scaling Limits
- Ergodic Theory
- Bayesian Monte Carlo
- GARCH Models
- Mixture Models
- Bayesian Methods
- High-Dimensional Data
- Lyapunov Exponents
- Variable Selection
- Weighted Spaces
- High-dimensional Integration
- Phase Transitions
- Quasi-Monte Carlo
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
- Monte Carlo Simulation7▲ 58×3 topics
- Option Pricing5▲ 379×1 topic
- Stochastic Calculus5▲ 379×1 topic
- Deep Learning4▲ 2.2×20 topics
- Model Selection4▲ 82×3 topics
- Approximation Algorithms3▲ 82×4 topics
- Inverse Problems3▲ 48×3 topics
- Neural Networks3▲ 3.2×12 topics
- Risk Management3▲ 10×2 topics
- Bayesian Inference3▲ 48×5 topics
- Dynamical Systems2▲ 67×2 topics
- Clustering2▲ 45×3 topics
- Convex Optimization2▲ 52×4 topics
- Interacting Particle Systems2▲ 329×1 topic
- Scaling Limits2▲ 329×1 topic
- Variational Inference2▲ 158×2 topics
- Ergodic Theory2▲ 135×2 topics
- Hidden Markov Models2▲ 66×2 topics
- Bayesian Monte Carlo2▲ 458×1 topic
- Dirichlet Process2▲ 238×1 topic
- GARCH Models2▲ 167×1 topic
- Markov Chain2▲ 458×1 topic
- Mixture Models2▲ 200×1 topic
- Volatility2▲ 167×1 topic
- Bayesian Methods2▲ 71×2 topics
- Chaos2▲ 47×2 topics
- High-Dimensional Data2▲ 21×3 topics
- Fractals2▲ 178×1 topic
- Lyapunov Exponents2▲ 178×1 topic
- Regularization2▲ 93×1 topic
- Variable Selection2▲ 28×1 topic
- Numerical Integration1▲ 84×2 topics
- Weighted Spaces1▲ 111×2 topics
- Fractal Dimension1▲ 63×2 topics
- High-dimensional Integration1▲ 328×1 topic
- Insurance1▲ 26×1 topic
- Phase Transitions1▲ 36×2 topics
- Principal Component Analysis1▲ 14×2 topics
- Quasi-Monte Carlo1▲ 328×1 topic
- Risk1▲ 32×1 topic
Which research topics does Laboratoire de Probabilités et Modèles Aléatoires publish most on?
By volume in 2022–2025: Stochastic processes and financial applications, Stochastic processes and statistical mechanics, Markov Chains and Monte Carlo Methods and Financial Risk and Volatility Modeling.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Stochastic processes and financial applications Finance 5 works
- 2 Stochastic processes and statistical mechanics Mathematical Physics 2 works
- 3 Markov Chains and Monte Carlo Methods Statistics and Probability 2 works
- 4 Financial Risk and Volatility Modeling Finance 2 works
- 5 Bayesian Methods and Mixture Models Artificial Intelligence 2 works
- 6 Mathematical Dynamics and Fractals Mathematical Physics 2 works
- 7 Statistical Methods and Inference Statistics and Probability 2 works
- 8 Mathematical Approximation and Integration Numerical Analysis 1 works
- 9 Probability and Risk Models Management Science and Operations Research 1 works
- 10 Stochastic Gradient Optimization Techniques Artificial Intelligence 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 Laboratoire de Probabilités et Modèles Aléatoires's research output changed?
Output in 2018–2022 was 69% 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.