Onur Teymur
Onur Teymur publishes mostly in Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty, on topics such as Gaussian Processes and Bayesian Inference, Statistical Methods and Inference and Probabilistic and Robust Engineering Design.
- World rank
- #4,952,440 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #299,185 of 367,258
- Works
- 15
- Citations
- 14k
- Citations per work
- 902.8
What does Onur Teymur research?
Onur Teymur's work is mostly in Computer Science (33%), Mathematics (26%), Decision Sciences (13%).
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 Sciences1069.1%
- Computer Science533.3%
- Mathematics425.6%
- Engineering15.1%
- Physics and Astronomy15.1%
- Everything else318.1%
- Social Sciences212.8%
- Decision Sciences212.8%
- 1Artificial Intelligence33% of their works
- 2Statistics and Probability20% of their works
- 3Statistics, Probability and Uncertainty13% of their works
- 4Electrical and Electronic Engineering5% of their works
- 5Numerical Analysis5% of their works
- 6Statistical and Nonlinear Physics5% of their works
Research topics
Which keywords describe Onur Teymur's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Bayesian Inference, Variational Inference, Gaussian Processes, Sparse Regression, Model Selection and Inverse Problems.
- Mixture Models
- Self-Organizing Maps
- Neural Networks
- Markov Chain
- Bayesian Networks
- Uncertainty Quantification
- Variable Selection
- Inverse Problems
- Sparse Regression
- Variational Inference
- Machine Learning
- Deep Learning
- Bayesian Inference
- Gaussian Processes
- Model Selection
- Regularization
- Sensitivity Analysis
- Bayesian Monte Carlo
- Causal Inference
- Model Reduction
- Partial Differential Equations
- Clustering
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 22 words, with their numbers
- Deep Learning123 topics
- Machine Learning102 topics
- Bayesian Inference92 topics
- Variational Inference92 topics
- Gaussian Processes81 topic
- Sparse Regression81 topic
- Model Selection62 topics
- Inverse Problems42 topics
- Regularization41 topic
- Variable Selection41 topic
- Sensitivity Analysis31 topic
- Uncertainty Quantification31 topic
- Bayesian Monte Carlo21 topic
- Bayesian Networks21 topic
- Causal Inference21 topic
- Markov Chain21 topic
- Model Reduction21 topic
- Neural Networks21 topic
- Partial Differential Equations21 topic
- Self-Organizing Maps21 topic
- Clustering11 topic
- Mixture Models11 topic
Where does Onur Teymur work?
Onur Teymur's main affiliation in the publication record is Turing Institute, United Kingdom.
How many publications and citations does Onur Teymur have?
OpenAlex counts 15 works and 13,542 citations for Onur Teymur, an h-index of 5, ranking #4,952,440 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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Discussion
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