- World rank, all time
- #34,752 of 42,892
- Rank in France
- #1,906 of 2,321
- Research works
- 186 ▼ 4% vs 2013–17
- Citations
- 3.2k 17.3 per fractional work
- Top-10% rate
- 9.8% record average 16.5%
- Open access
- 43% world 28%
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, 16.0×. Every wedge is a field page.
- Mathematics 16.0×
- Economics, Econometrics and Finance 8.2×
- Computer Science 2.5×
- Energy 2.0×
- Environmental Science 1.6×
- Earth and Planetary Sciences 1.3×
- Social Sciences 0.9×
- Decision Sciences 0.7×
- Agricultural and Biological Sciences 0.6×
- Psychology 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Medicine 0.5×
- Engineering 0.2×
- Immunology and Microbiology 0.2×
- Neuroscience 0.1×
Which keywords describe research at École Nationale de la Statistique et de l'Analyse de l'Information?
By fractional works in 2022–2025, weighted toward what it does more of than the world: High-Dimensional Data, Model Selection, Bayesian Methods, Regularization, Variable Selection, Clustering Algorithms, Cluster Validation and K-means.
- K-means
- Cluster Validation
- Machine Learning
- Variable Selection
- Climate Change
- Model Selection
- High-Dimensional Data
- Bayesian Methods
- Regularization
- Deep Learning
- Bayesian Inference
- Clustering Algorithms
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 12 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 12 words, with their numbers
- High-Dimensional Data2▲ 79×3 topics
- Model Selection2▲ 92×2 topics
- Bayesian Methods1▲ 141×2 topics
- Climate Change1▲ 2.4×11 topics
- Regularization1▲ 226×1 topic
- Variable Selection1▲ 68×1 topic
- Deep Learning1▲ 1.75×14 topics
- Machine Learning1▲ 1.84×13 topics
- Bayesian Inference1▲ 53×4 topics
- Cluster Validation1▲ 414×1 topic
- Clustering Algorithms1▲ 71×2 topics
- K-means1▲ 414×1 topic
Which research topics does École Nationale de la Statistique et de l'Analyse de l'Information publish most on?
By volume in 2022–2025: Statistical Methods and Inference, Advanced Clustering Algorithms Research, Financial Risk and Volatility Modeling and Bayesian Methods and Mixture Models.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Statistical Methods and Inference Statistics and Probability 1 works
- 2 Advanced Clustering Algorithms Research Artificial Intelligence 1 works
- 3 Financial Risk and Volatility Modeling Finance 1 works
- 4 Bayesian Methods and Mixture Models Artificial Intelligence 1 works
- 5 Advanced Statistical Methods and Models Statistics and Probability 1 works
- 6 Monetary Policy and Economic Impact General Economics, Econometrics and Finance 0 works
- 7 Global Financial Crisis and Policies Finance 0 works
- 8 Pancasila Values in Education Education 0 works
- 9 Statistical Methods and Bayesian Inference Statistics and Probability 0 works
- 10 Probability and Statistical Research Statistics and Probability 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 École Nationale de la Statistique et de l'Analyse de l'Information's research output changed?
Output in 2018–2022 was 4% 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 Bruz
- UniLaSalle
- École Normale Supérieure de Rennes
- Laboratoire Mouvement Sport Santé
- École des Métiers de l’Environnement
- ECAM Rennes Louis de Broglie
- Institut Maupertuis
- École des Avocats du Grand Ouest
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.