Régis Lebrun
Régis Lebrun publishes mostly in Artificial Intelligence, Statistics, Probability and Uncertainty and Statistics and Probability, on topics such as Probabilistic and Robust Engineering Design, Bayesian Modeling and Causal Inference and Statistical Distribution Estimation and Applications.
- World rank
- #2,090,682 of 7,710,434 ranked researchers
- Rank in France
- #90,672 of 324,115
- Works
- 27
- Citations
- 752
- Citations per work
- 27.9
What does Régis Lebrun research?
Régis Lebrun's work is mostly in Computer Science (20%), Decision Sciences (17%), Engineering (11%).
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 Sciences1142.2%
- Computer Science520.3%
- Engineering311.0%
- Mathematics310.9%
- Everything else1037.5%
- Social Sciences520.3%
- 1Artificial Intelligence20% of their works
- 2Statistics, Probability and Uncertainty17% of their works
- 3Statistics and Probability11% of their works
- 4Safety, Risk, Reliability and Quality6% of their works
- 5Industrial and Manufacturing Engineering5% of their works
- 6Finance3% of their works
Research topics
- Probabilistic and Robust Engineering Design
- Bayesian Modeling and Causal Inference
- Statistical Distribution Estimation and Applications
- Reliability and Maintenance Optimization
- Bayesian Methods and Mixture Models
- Risk and Safety Analysis
- Gaussian Processes and Bayesian Inference
- Tensor decomposition and applications
Which keywords describe Régis Lebrun's research?
The keywords of their largest research topics: Bayesian Inference, Bayesian Networks, Sensitivity Analysis, Uncertainty Quantification, Causal Inference, Graphical Models, Generalized Exponential and Skew Distributions.
- Tensor Decomposition
- Multilinear Algebra
- Quantitative Risk Assessment
- Fault Tree Analysis
- Reliability Engineering
- Machine Learning
- Skew Distributions
- Graphical Models
- Uncertainty Quantification
- Bayesian Networks
- Bayesian Inference
- Sensitivity Analysis
- Causal Inference
- Generalized Exponential
- Variational Inference
- Maintenance Optimization
- Clustering
- Mixture Models
- Gaussian Processes
- Sparse Regression
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 20 words, with their numbers
- Bayesian Inference103 topics
- Bayesian Networks92 topics
- Sensitivity Analysis71 topic
- Uncertainty Quantification71 topic
- Causal Inference61 topic
- Graphical Models61 topic
- Generalized Exponential51 topic
- Skew Distributions51 topic
- Variational Inference52 topics
- Machine Learning42 topics
- Maintenance Optimization41 topic
- Reliability Engineering41 topic
- Clustering31 topic
- Fault Tree Analysis31 topic
- Mixture Models31 topic
- Quantitative Risk Assessment31 topic
- Gaussian Processes21 topic
- Multilinear Algebra21 topic
- Sparse Regression21 topic
- Tensor Decomposition21 topic
Where does Régis Lebrun work?
Régis Lebrun's main affiliation in the publication record is Airbus (France), France.
How many publications and citations does Régis Lebrun have?
OpenAlex counts 27 works and 752 citations for Régis Lebrun, an h-index of 7, ranking #2,090,682 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.
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.
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