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Researcher · University of California, San Francisco · United States

Justin D. Krogue

Justin D. Krogue publishes mostly in Radiology, Nuclear Medicine and Imaging, Surgery and Artificial Intelligence, on topics such as Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI and Peripheral Nerve Disorders.

ORCID 0000-0002-6756-4877 OpenAlex
World rank
#2,454,373
of 7,710,434 ranked researchers
Rank in United States
#725,683
of 1,627,098
Works
17
Citations
576
Citations per work
33.9
h-index
9
i10-index 9Top 62% in Radiology, Nuclear Medicine and Imaging
Justin D. Krogue

What does Justin D. Krogue research?

Justin D. Krogue's work is mostly in Medicine (58%), Computer Science (20%), Engineering (5%).

Health Sciences: 10 works · 57.5% of their workMedicine: 10 works · 57.5% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 25.0% of their workSurgery: 3 works · 20.0% of their workHealth Informatics: 2 works · 12.5% of their workPhysical Sciences: 4 works · 25.0% of their workComputer Science: 3 works · 20.0% of their workArtificial Intelligence: 3 works · 15.0% of their workComputer Vision and Pattern Recognition: 1 works · 5.0% of their workEngineering: 1 works · 5.0% of their workBiomedical Engineering: 1 works · 5.0% of their workEverything else: 3 works · 17.5% of their workTHEIR WORKJustin D. Krogue17works
Physical Sciences25%Health Sciences58%

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. Medicine1057.5%
    1. Computer Science320.0%
    2. Engineering15.0%
  3. Everything else317.5%
  1. 1Radiology, Nuclear Medicine and Imaging25% of their works
  2. 2Surgery20% of their works
  3. 3Artificial Intelligence15% of their works
  4. 4Health Informatics12% of their works
  5. 5Biomedical Engineering5% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Justin D. Krogue's research?

The keywords of their largest research topics: Artificial Intelligence, Medical Imaging, Convolutional Neural Networks, Deep Learning, Machine Learning, Transfer Learning, Clinical Decision Support and Healthcare.

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. Artificial Intelligence92 topics
  2. Medical Imaging92 topics
  3. Convolutional Neural Networks83 topics
  4. Deep Learning83 topics
  5. Machine Learning72 topics
  6. Transfer Learning62 topics
  7. Clinical Decision Support51 topic
  8. Healthcare51 topic
  9. COVID-1941 topic
  10. Chest X-Ray41 topic
  11. Carpal Tunnel Syndrome31 topic
  12. Distal Radius Fractures31 topic
  13. Electrodiagnostic Studies31 topic
  14. Flexor Tendon Repair31 topic
  15. Hip Fracture31 topic
  16. Mortality31 topic
  17. Domain Adaptation21 topic
  18. Few-Shot Learning21 topic
  19. Histopathology Images21 topic
  20. Image Recognition21 topic
  21. Medical Image Analysis21 topic
  22. Object Detection21 topic

Where does Justin D. Krogue work?

Justin D. Krogue's main affiliation in the publication record is University of California, San Francisco, United States.

How many publications and citations does Justin D. Krogue have?

OpenAlex counts 17 works and 576 citations for Justin D. Krogue, an h-index of 9, ranking #2,454,373 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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