Radford M. Neal
Radford M. Neal publishes mostly in Artificial Intelligence, Statistics and Probability and Control and Systems Engineering, on topics such as Markov Chains and Monte Carlo Methods, Bayesian Methods and Mixture Models and Statistical Methods and Bayesian Inference.
- World rank
- #27,739 of 1,633,909 ranked researchers
- Rank in Canada
- #778 of 38,960
- Works
- 35
- Citations
- 1.4k
- Citations per work
- 40.8
What does Radford M. Neal research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence37% of their works
- 2Statistics and Probability24% of their works
- 3Control and Systems Engineering6% of their works
- 4Computational Theory and Mathematics4% of their works
- 5Molecular Biology4% of their works
- 6Computer Vision and Pattern Recognition2% of their works
Research topics
- Markov Chains and Monte Carlo Methods
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Neural Networks and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Modeling and Causal Inference
- Gaussian Processes and Bayesian Inference
- Control Systems and Identification
Which keywords describe Radford M. Neal's research?
The keywords of their largest research topics: Bayesian Inference, Model Selection, Bayesian Monte Carlo, Markov Chain, Variational Inference, Clustering, Deep Learning and Mixture Models.
- Parameter Estimation
- Gaussian Processes
- Particle Filters
- Neural Networks
- Bayesian Networks
- Bayesian Modeling
- Mixture Models
- Clustering
- Markov Chain
- Model Selection
- Bayesian Inference
- Bayesian Monte Carlo
- Variational Inference
- Deep Learning
- State Estimation
- Multiple Imputation
- Causal Inference
- Nonlinear Estimation
- Self-Organizing Maps
- Machine Learning
- System Identification
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 21 words, with their numbers
- Bayesian Inference103 topics
- Model Selection92 topics
- Bayesian Monte Carlo71 topic
- Markov Chain71 topic
- Variational Inference72 topics
- Clustering51 topic
- Deep Learning52 topics
- Mixture Models51 topic
- State Estimation52 topics
- Bayesian Modeling41 topic
- Multiple Imputation41 topic
- Bayesian Networks31 topic
- Causal Inference31 topic
- Neural Networks31 topic
- Nonlinear Estimation31 topic
- Particle Filters31 topic
- Self-Organizing Maps31 topic
- Gaussian Processes21 topic
- Machine Learning21 topic
- Parameter Estimation21 topic
- System Identification21 topic
Where does Radford M. Neal work?
Radford M. Neal's main affiliation in the publication record is University of Toronto, Canada.
How many publications and citations does Radford M. Neal have?
Science Explorer counts 35 works and 1,429 citations for Radford M. Neal, ranking #27,739 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.