David Barber
David Barber publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, on topics such as Topic Modeling, Natural Language Processing Techniques and Bayesian Methods and Mixture Models.
- World rank
- #238,953 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #21,854 of 90,785
- Works
- 59
- Citations
- 324
- Citations per work
- 5.5
What does David Barber research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence51% of their works
- 2Computer Vision and Pattern Recognition10% of their works
- 3Statistical and Nonlinear Physics7% of their works
- 4Signal Processing4% of their works
- 5Cognitive Neuroscience3% of their works
- 6Management Science and Operations Research3% of their works
Research topics
Which keywords describe David Barber's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Bayesian Inference, Variational Inference, Machine Translation, Word Representation and Neural Machine Translation.
- Scientific Computing
- Partial Differential Equations
- Image Synthesis
- Backpropagation Learning
- Mixture Models
- Clustering
- Neural Machine Translation
- Machine Translation
- Bayesian Inference
- Neural Networks
- Deep Learning
- Machine Learning
- Variational Inference
- Word Representation
- Statistical Machine Translation
- Gaussian Processes
- Sparse Regression
- Generative Adversarial Networks
- Model Reduction
- Python
- Self-Organizing Maps
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
- Deep Learning134 topics
- Neural Networks123 topics
- Machine Learning103 topics
- Bayesian Inference82 topics
- Variational Inference82 topics
- Machine Translation61 topic
- Word Representation61 topic
- Neural Machine Translation51 topic
- Statistical Machine Translation51 topic
- Clustering41 topic
- Gaussian Processes41 topic
- Mixture Models41 topic
- Sparse Regression41 topic
- Backpropagation Learning31 topic
- Generative Adversarial Networks31 topic
- Image Synthesis31 topic
- Model Reduction31 topic
- Partial Differential Equations31 topic
- Python31 topic
- Scientific Computing31 topic
- Self-Organizing Maps31 topic
Where does David Barber work?
David Barber's main affiliation in the publication record is University College London, United Kingdom.
How many publications and citations does David Barber have?
Science Explorer counts 59 works and 324 citations for David Barber, ranking #238,953 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.
Other researchers named David Barber
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