Sylvain Le Corff
Sylvain Le Corff publishes mostly in Artificial Intelligence, Statistics and Probability and Signal Processing, on topics such as Bayesian Methods and Mixture Models, Target Tracking and Data Fusion in Sensor Networks and Statistical Methods and Inference.
- World rank
- #5,896,319 of 7,710,434 ranked researchers
- Rank in France
- #250,778 of 324,115
- Works
- 90
- Citations
- 315
- Citations per work
- 3.5
What does Sylvain Le Corff research?
Sylvain Le Corff's work is mostly in Computer Science (56%), Mathematics (16%), Biochemistry, Genetics and Molecular Biology (4%).
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 Sciences6572.7%
- Computer Science5156.5%
- Mathematics1516.2%
- Everything else2123.3%
- Life Sciences44.0%
- 1Artificial Intelligence42% of their works
- 2Statistics and Probability16% of their works
- 3Signal Processing6% of their works
- 4Computer Vision and Pattern Recognition6% of their works
- 5Molecular Biology4% of their works
- 6Computer Networks and Communications4% of their works
Research topics
- Bayesian Methods and Mixture Models
- Target Tracking and Data Fusion in Sensor Networks
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Gaussian Processes and Bayesian Inference
- Distributed Sensor Networks and Detection Algorithms
- Bayesian Modeling and Causal Inference
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Sylvain Le Corff's research?
The keywords of their largest research topics: Bayesian Inference, Variational Inference, Model Selection, Clustering, Mixture Models, Nonlinear Estimation, Particle Filters and Regularization.
- Image Synthesis
- Causal Inference
- Wireless Sensor Networks
- Machine Learning
- Markov Chain
- Deep Learning
- Regularization
- Nonlinear Estimation
- Clustering
- Variational Inference
- Bayesian Inference
- Model Selection
- Mixture Models
- Particle Filters
- Variable Selection
- Bayesian Monte Carlo
- Gaussian Processes
- Distributed Detection
- Bayesian Networks
- Generative Adversarial Networks
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 20 words, with their numbers
- Bayesian Inference663 topics
- Variational Inference422 topics
- Model Selection352 topics
- Clustering301 topic
- Mixture Models301 topic
- Nonlinear Estimation241 topic
- Particle Filters241 topic
- Regularization201 topic
- Variable Selection201 topic
- Deep Learning192 topics
- Bayesian Monte Carlo151 topic
- Markov Chain151 topic
- Gaussian Processes121 topic
- Machine Learning121 topic
- Distributed Detection81 topic
- Wireless Sensor Networks81 topic
- Bayesian Networks71 topic
- Causal Inference71 topic
- Generative Adversarial Networks71 topic
- Image Synthesis71 topic
Where does Sylvain Le Corff work?
Sylvain Le Corff's main affiliation in the publication record is Institut Polytechnique de Paris, France.
How many publications and citations does Sylvain Le Corff have?
OpenAlex counts 90 works and 315 citations for Sylvain Le Corff, an h-index of 10, ranking #5,896,319 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.
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