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Researcher · University of Manchester · United Kingdom

Tim F. Cootes

Tim F. Cootes publishes mostly in Computer Vision and Pattern Recognition, Surgery and Rheumatology, on topics such as Face recognition and analysis, Medical Image Segmentation Techniques and Image Retrieval and Classification Techniques.

ORCID 0000-0002-2695-9063 OpenAlex
World rank
#208,518
of 7,710,434 ranked researchers
Rank in United Kingdom
#18,934
of 367,258
Works
443
Citations
35k
Citations per work
78.4
h-index
68
i10-index 203Top 0.4% in Computer Vision and Pattern Recognition
Tim F. Cootes

What does Tim F. Cootes research?

Tim F. Cootes's work is mostly in Computer Science (39%), Medicine (26%), Engineering (6%).

Physical Sciences: 199 works · 44.9% of their workComputer Science: 173 works · 39.1% of their workComputer Vision and Pattern Recognition: 173 works · 39.1% of their workEngineering: 26 works · 5.8% of their workBiomedical Engineering: 26 works · 5.8% of their workEverything else: 128 works · 28.9% of their workHealth Sciences: 116 works · 26.2% of their workMedicine: 116 works · 26.2% of their workSurgery: 54 works · 12.1% of their workRheumatology: 27 works · 6.1% of their workOrthopedics and Sports Medicine: 19 works · 4.4% of their workRadiology, Nuclear Medicine and Imaging: 16 works · 3.6% of their workTHEIR WORKTim F. Cootes443works
Physical Sciences45%Health Sciences26%

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
    1. Computer Science17339.1%
    2. Engineering265.8%
  2. Everything else12828.9%
    1. Medicine11626.2%
  1. 1Computer Vision and Pattern Recognition39% of their works
  2. 2Surgery12% of their works
  3. 3Rheumatology6% of their works
  4. 4Biomedical Engineering6% of their works
  5. 5Orthopedics and Sports Medicine4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Tim F. Cootes's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Local Binary Patterns, Medical Image Analysis, Osteoarthritis, Age Estimation, Facial Landmark Detection and Graph Cuts.

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
  1. Deep Learning2293 topics
  2. Face Recognition1562 topics
  3. Local Binary Patterns1382 topics
  4. Medical Image Analysis1362 topics
  5. Osteoarthritis1172 topics
  6. Age Estimation931 topic
  7. Facial Landmark Detection931 topic
  8. Graph Cuts891 topic
  9. Image Segmentation891 topic
  10. Content-Based Image Retrieval751 topic
  11. Shape Matching751 topic
  12. Dimensionality Reduction631 topic
  13. Feature Selection631 topic
  14. Femoroacetabular Impingement591 topic
  15. Hip Arthroscopy591 topic
  16. Cartilage581 topic
  17. Chondrocyte581 topic
  18. Spine Segmentation471 topic
  19. Vertebrae Detection471 topic
  20. Bone Mineral Density381 topic
  21. Fractures381 topic

Where does Tim F. Cootes work?

Tim F. Cootes's main affiliation in the publication record is University of Manchester, United Kingdom.

How many publications and citations does Tim F. Cootes have?

OpenAlex counts 443 works and 34,715 citations for Tim F. Cootes, an h-index of 68, ranking #208,518 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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