Ben Glocker
Ben Glocker publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging and Traumatic Brain Injury and Neurovascular Disturbances.
- World rank
- #1,239 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #88 of 90,785
- Works
- 116
- Citations
- 2.5k
- Citations per work
- 21.4
What does Ben Glocker research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence26% of their works
- 2Computer Vision and Pattern Recognition18% of their works
- 3Radiology, Nuclear Medicine and Imaging13% of their works
- 4Neurology7% of their works
- 5Epidemiology4% of their works
- 6Biomedical Engineering4% of their works
Research topics
- Medical Image Segmentation Techniques
- Radiomics and Machine Learning in Medical Imaging
- Traumatic Brain Injury and Neurovascular Disturbances
- Domain Adaptation and Few-Shot Learning
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence in Healthcare and Education
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
Which keywords describe Ben Glocker's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Texture Analysis, Medical Imaging, Precision Medicine, Representation Learning, Unsupervised Learning and Neural Networks.
- Machine Learning Interpretability
- Robustness
- Transfer Learning
- Healthcare
- Domain Adaptation
- Traumatic Brain Injury
- Radiomics
- Medical Image Analysis
- Neural Networks
- Representation Learning
- Medical Imaging
- Machine Learning
- Deep Learning
- Texture Analysis
- Precision Medicine
- Unsupervised Learning
- Image Segmentation
- Quantitative Analysis
- Pathophysiology
- Artificial Intelligence
- Generative Adversarial Networks
- Image Synthesis
- Adversarial Examples
- Interpretable Models
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 24 words, with their numbers
- Deep Learning253 topics
- Machine Learning243 topics
- Texture Analysis232 topics
- Medical Imaging182 topics
- Precision Medicine182 topics
- Representation Learning142 topics
- Unsupervised Learning142 topics
- Neural Networks132 topics
- Image Segmentation121 topic
- Medical Image Analysis121 topic
- Quantitative Analysis111 topic
- Radiomics111 topic
- Pathophysiology91 topic
- Traumatic Brain Injury91 topic
- Artificial Intelligence71 topic
- Domain Adaptation71 topic
- Generative Adversarial Networks71 topic
- Healthcare71 topic
- Image Synthesis71 topic
- Transfer Learning71 topic
- Adversarial Examples61 topic
- Robustness61 topic
- Interpretable Models51 topic
- Machine Learning Interpretability51 topic
Where does Ben Glocker work?
Ben Glocker's main affiliation in the publication record is Imperial College London, United Kingdom.
How many publications and citations does Ben Glocker have?
Science Explorer counts 116 works and 2,483 citations for Ben Glocker, ranking #1,239 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.
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