Heiko Strathmann
Heiko Strathmann publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, on topics such as Gaussian Processes and Bayesian Inference, Markov Chains and Monte Carlo Methods and Generative Adversarial Networks and Image Synthesis.
- World rank
- #2,456,916 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #174,258 of 367,258
- Works
- 36
- Citations
- 1.3k
- Citations per work
- 37.2
What does Heiko Strathmann research?
Heiko Strathmann's work is mostly in Computer Science (55%), Mathematics (26%), Environmental Science (2%).
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 Sciences3084.6%
- Computer Science2054.6%
- Mathematics925.8%
- Environmental Science12.1%
- Physics and Astronomy12.1%
- Everything else615.4%
- 1Artificial Intelligence37% of their works
- 2Statistics and Probability26% of their works
- 3Computer Vision and Pattern Recognition13% of their works
- 4Signal Processing4% of their works
- 5Environmental Engineering2% of their works
- 6Statistical and Nonlinear Physics2% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Generative Adversarial Networks and Image Synthesis
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Machine Learning in Healthcare
- Time Series Analysis and Forecasting
- Statistical Methods and Bayesian Inference
Which keywords describe Heiko Strathmann's research?
The keywords of their largest research topics: Deep Learning, Bayesian Inference, Variational Inference, Model Selection, Gaussian Processes, Machine Learning, Bayesian Monte Carlo and Markov Chain.
- Bayesian Modeling
- Healthcare
- Dynamic Time Warping
- Dirichlet Process
- Regularization
- Generative Adversarial Networks
- Markov Chain
- Machine Learning
- Model Selection
- Bayesian Inference
- Deep Learning
- Variational Inference
- Gaussian Processes
- Bayesian Monte Carlo
- Clustering
- Image Synthesis
- Variable Selection
- Mixture Models
- Electronic Health Records
- Time Series
- Multiple Imputation
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 Learning314 topics
- Bayesian Inference222 topics
- Variational Inference222 topics
- Model Selection212 topics
- Gaussian Processes151 topic
- Machine Learning151 topic
- Bayesian Monte Carlo131 topic
- Markov Chain131 topic
- Clustering112 topics
- Generative Adversarial Networks81 topic
- Image Synthesis81 topic
- Regularization81 topic
- Variable Selection81 topic
- Dirichlet Process71 topic
- Mixture Models71 topic
- Dynamic Time Warping41 topic
- Electronic Health Records41 topic
- Healthcare41 topic
- Time Series41 topic
- Bayesian Modeling31 topic
- Multiple Imputation31 topic
Where does Heiko Strathmann work?
Heiko Strathmann's main affiliation in the publication record is University College London, United Kingdom.
How many publications and citations does Heiko Strathmann have?
OpenAlex counts 36 works and 1,339 citations for Heiko Strathmann, an h-index of 15, ranking #2,456,916 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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