Alison Q. O’Neil
Alison Q. O’Neil publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as COVID-19 diagnosis using AI, Domain Adaptation and Few-Shot Learning and Medical Imaging and Analysis.
- World rank
- #2,236,685 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #161,303 of 367,258
- Works
- 71
- Citations
- 1.1k
- Citations per work
- 14.9
What does Alison Q. O’Neil research?
Alison Q. O’Neil's work is mostly in Computer Science (50%), Medicine (17%), Engineering (7%).
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 Sciences4056.7%
- Computer Science3650.0%
- Engineering56.7%
- Everything else1622.7%
- Health Sciences1216.8%
- Medicine1216.8%
- Life Sciences33.8%
- Neuroscience33.8%
- 1Artificial Intelligence30% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Radiology, Nuclear Medicine and Imaging13% of their works
- 4Biomedical Engineering7% of their works
- 5Neurology4% of their works
- 6Pulmonary and Respiratory Medicine4% of their works
Research topics
Which keywords describe Alison Q. O’Neil's research?
The keywords of their largest research topics: Deep Learning, Transfer Learning, Medical Imaging, Artificial Intelligence, Medical Image Analysis, Neural Networks, Texture Analysis and Feature Extraction.
- MRI
- Graph Cuts
- Visual Question Answering
- Word Representation
- Vertebrae Detection
- Radiomics
- Few-Shot Learning
- Convolutional Neural Networks
- Image Segmentation
- Feature Extraction
- Neural Networks
- Artificial Intelligence
- Transfer Learning
- Deep Learning
- Medical Imaging
- Medical Image Analysis
- Texture Analysis
- Machine Learning
- COVID-19
- Domain Adaptation
- Quantitative Analysis
- Spine Segmentation
- Machine Translation
- Image Captioning
- Active Contours
- Brain Tumor
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 26 words, with their numbers
- Deep Learning535 topics
- Transfer Learning353 topics
- Medical Imaging343 topics
- Artificial Intelligence262 topics
- Medical Image Analysis212 topics
- Neural Networks212 topics
- Texture Analysis212 topics
- Feature Extraction202 topics
- Machine Learning202 topics
- Image Segmentation172 topics
- COVID-19141 topic
- Convolutional Neural Networks141 topic
- Domain Adaptation131 topic
- Few-Shot Learning131 topic
- Quantitative Analysis121 topic
- Radiomics121 topic
- Spine Segmentation121 topic
- Vertebrae Detection121 topic
- Machine Translation111 topic
- Word Representation111 topic
- Image Captioning101 topic
- Visual Question Answering101 topic
- Active Contours91 topic
- Graph Cuts91 topic
- Brain Tumor81 topic
- MRI81 topic
Where does Alison Q. O’Neil work?
Alison Q. O’Neil's main affiliation in the publication record is University of Edinburgh, United Kingdom.
How many publications and citations does Alison Q. O’Neil have?
OpenAlex counts 71 works and 1,057 citations for Alison Q. O’Neil, an h-index of 16, ranking #2,236,685 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.
Discussion
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