Victor-Emmanuel Brunel
Victor-Emmanuel Brunel publishes mostly in Statistics and Probability, Artificial Intelligence and Applied Mathematics, on topics such as Statistical Methods and Inference, Point processes and geometric inequalities and Markov Chains and Monte Carlo Methods.
- World rank
- #5,930,228 of 7,710,434 ranked researchers
- Rank in France
- #252,371 of 324,115
- Works
- 51
- Citations
- 174
- Citations per work
- 3.4
What does Victor-Emmanuel Brunel research?
Victor-Emmanuel Brunel's work is mostly in Mathematics (44%), Computer Science (25%), Decision Sciences (5%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences3873.7%
- Mathematics2344.5%
- Computer Science1324.8%
- Engineering24.4%
- Everything else1121.2%
- Social Sciences35.1%
- Decision Sciences35.1%
- 1Statistics and Probability29% of their works
- 2Artificial Intelligence21% of their works
- 3Applied Mathematics15% of their works
- 4Management Science and Operations Research5% of their works
- 5Computational Mechanics4% of their works
- 6Computer Vision and Pattern Recognition4% of their works
Research topics
Which keywords describe Victor-Emmanuel Brunel's research?
The keywords of their largest research topics: Model Selection, Regularization, Variable Selection, Point Processes, Spatstat, Machine Learning, Bayesian Monte Carlo and Markov Chain.
- Federated Learning
- Regression Analysis
- Bayesian Optimization
- Semi-Supervised Learning
- Clustering
- Markov Chain
- Machine Learning
- Point Processes
- Regularization
- Model Selection
- Variable Selection
- Spatstat
- Bayesian Monte Carlo
- Active Learning
- Mixture Models
- Bandit Optimization
- Multicollinearity
- Differential Privacy
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Model Selection292 topics
- Regularization211 topic
- Variable Selection211 topic
- Point Processes191 topic
- Spatstat191 topic
- Machine Learning102 topics
- Bayesian Monte Carlo81 topic
- Markov Chain81 topic
- Active Learning61 topic
- Clustering61 topic
- Mixture Models61 topic
- Semi-Supervised Learning61 topic
- Bandit Optimization51 topic
- Bayesian Optimization51 topic
- Multicollinearity51 topic
- Regression Analysis51 topic
- Differential Privacy41 topic
- Federated Learning41 topic
Where does Victor-Emmanuel Brunel work?
Victor-Emmanuel Brunel's main affiliation in the publication record is ENSAE Paris, France.
How many publications and citations does Victor-Emmanuel Brunel have?
OpenAlex counts 51 works and 174 citations for Victor-Emmanuel Brunel, an h-index of 8, ranking #5,930,228 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Victor-Emmanuel Brunel. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.