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David Snead

David Snead publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Breast Cancer Treatment Studies.

World rank
#55,603
of 1,633,909 ranked researchers
Rank in United Kingdom
#5,265
of 90,785
Works
30
Citations
311
Citations per work
10.4

What does David Snead research?

Radiology, Nuclear Medicine and Imaging: 12.9%Artificial Intelligence: 12.9%Pathology and Forensic Medicine: 9.7%Computer Vision and Pattern Recognition: 6.5%other fields: 58.0%13%top field
Radiology, Nuclear Medicine and Imaging12.9%Artificial Intelligence12.9%Pathology and Forensic Medicine9.7%Computer Vision and Pattern Recognition6.5%other fields58.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Radiology, Nuclear Medicine and Imaging13% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Pathology and Forensic Medicine10% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Astronomy and Astrophysics6% of their works
  6. 6Ophthalmology6% of their works

Research topics

Which keywords describe David Snead's research?

The keywords of their largest research topics: Machine Learning, Medical Image Analysis, Convolutional Neural Networks, Deep Learning, Computer-Aided Detection, Feature Extraction, Histopathology Images and Texture Analysis.

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
  1. Machine Learning83 topics
  2. Medical Image Analysis63 topics
  3. Convolutional Neural Networks52 topics
  4. Deep Learning52 topics
  5. Computer-Aided Detection41 topic
  6. Feature Extraction42 topics
  7. Histopathology Images41 topic
  8. Texture Analysis42 topics
  9. Medical Imaging31 topic
  10. Radiomics31 topic
  11. Breast Tumours11 topic
  12. Cosmological Parameters11 topic
  13. Dark Energy11 topic
  14. Gene Expression11 topic
  15. Graph Cuts11 topic
  16. Image Segmentation11 topic
  17. Leukemia Classification11 topic
  18. Malaria Parasite Detection11 topic
  19. Metabolism11 topic
  20. Protein11 topic
  21. Relativity11 topic
  22. Unified Field Theories11 topic

Where does David Snead work?

David Snead's main affiliation in the publication record is University Hospitals Coventry and Warwickshire NHS Trust, United Kingdom.

How many publications and citations does David Snead have?

Science Explorer counts 30 works and 311 citations for David Snead, ranking #55,603 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.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.