Nicolas Chopin
Nicolas Chopin publishes mostly in Artificial Intelligence, Statistics and Probability and Numerical Analysis, on topics such as Markov Chains and Monte Carlo Methods, Bayesian Methods and Mixture Models and Statistical Methods and Inference.
- World rank
- #1,347,814 of 7,710,434 ranked researchers
- Rank in France
- #61,230 of 324,115
- Works
- 163
- Citations
- 8.5k
- Citations per work
- 52.4
What does Nicolas Chopin research?
Nicolas Chopin's work is mostly in Computer Science (36%), Mathematics (34%), Engineering (3%).
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 Sciences12274.7%
- Computer Science5835.7%
- Mathematics5533.7%
- Engineering53.1%
- Physics and Astronomy42.2%
- Everything else3722.4%
- Social Sciences52.9%
- Decision Sciences52.9%
- 1Artificial Intelligence36% of their works
- 2Statistics and Probability30% of their works
- 3Numerical Analysis3% of their works
- 4Control and Systems Engineering3% of their works
- 5Management Science and Operations Research3% of their works
- 6Statistical and Nonlinear Physics2% of their works
Research topics
- Markov Chains and Monte Carlo Methods
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Gaussian Processes and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Modeling and Causal Inference
- Mathematical Approximation and Integration
Which keywords describe Nicolas Chopin's research?
The keywords of their largest research topics: Bayesian Inference, Model Selection, Variational Inference, Bayesian Monte Carlo, Markov Chain, Clustering, Mixture Models and Regularization.
- High-dimensional Integration
- Bayesian Networks
- Nonlinear Estimation
- Bayesian Modeling
- Gaussian Processes
- Regularization
- Clustering
- Bayesian Monte Carlo
- Model Selection
- Bayesian Inference
- Variational Inference
- Markov Chain
- Mixture Models
- Variable Selection
- Machine Learning
- Multiple Imputation
- Particle Filters
- Causal Inference
- Quasi-Monte Carlo
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.
All 19 words, with their numbers
- Bayesian Inference1053 topics
- Model Selection992 topics
- Variational Inference812 topics
- Bayesian Monte Carlo571 topic
- Markov Chain571 topic
- Clustering521 topic
- Mixture Models521 topic
- Regularization421 topic
- Variable Selection421 topic
- Gaussian Processes291 topic
- Machine Learning291 topic
- Bayesian Modeling251 topic
- Multiple Imputation251 topic
- Nonlinear Estimation241 topic
- Particle Filters241 topic
- Bayesian Networks191 topic
- Causal Inference191 topic
- High-dimensional Integration131 topic
- Quasi-Monte Carlo131 topic
Where does Nicolas Chopin work?
Nicolas Chopin's main affiliation in the publication record is ENSAE Paris, France.
How many publications and citations does Nicolas Chopin have?
OpenAlex counts 163 works and 8,547 citations for Nicolas Chopin, an h-index of 18, ranking #1,347,814 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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.
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