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Researcher · Alfred Health · Australia

Jarrel C. Y. Seah

Jarrel C. Y. Seah publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics, on topics such as COVID-19 diagnosis using AI, Artificial Intelligence in Healthcare and Education and Radiology practices and education.

ORCID 0000-0002-2305-7873 OpenAlex
World rank
#676,671
of 7,710,434 ranked researchers
Rank in Australia
#22,968
of 140,210
Works
52
Citations
1.4k
Citations per work
26.3
h-index
20
i10-index 28Top 21% in Radiology, Nuclear Medicine and Imaging
Jarrel C. Y. Seah

What does Jarrel C. Y. Seah research?

Jarrel C. Y. Seah's work is mostly in Medicine (47%), Computer Science (16%).

Health Sciences: 24 works · 46.6% of their workMedicine: 24 works · 46.6% of their workRadiology, Nuclear Medicine and Imaging: 14 works · 26.0% of their workHealth Informatics: 5 works · 8.9% of their workPulmonary and Respiratory Medicine: 3 works · 6.2% of their workSurgery: 3 works · 5.5% of their workEverything else: 20 works · 37.6% of their workPhysical Sciences: 8 works · 15.8% of their workComputer Science: 8 works · 15.8% of their workArtificial Intelligence: 5 works · 9.6% of their workComputer Vision and Pattern Recognition: 3 works · 6.2% of their workTHEIR WORKJarrel C. Y. Seah52works
Physical Sciences16%Health Sciences47%

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. Medicine2446.6%
  2. Everything else2037.6%
    1. Computer Science815.8%
  1. 1Radiology, Nuclear Medicine and Imaging26% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Health Informatics9% of their works
  4. 4Pulmonary and Respiratory Medicine6% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Surgery6% of their works

Research topics

Which keywords describe Jarrel C. Y. Seah's research?

The keywords of their largest research topics: Medical Imaging, Artificial Intelligence, Precision Medicine, Machine Learning, Healthcare, Deep Learning, Convolutional Neural Networks and COVID-19.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 23 words, with their numbers
  1. Medical Imaging363 topics
  2. Artificial Intelligence282 topics
  3. Precision Medicine263 topics
  4. Machine Learning253 topics
  5. Healthcare223 topics
  6. Deep Learning202 topics
  7. COVID-19151 topic
  8. Convolutional Neural Networks151 topic
  9. Clinical Decision Support131 topic
  10. Ethical Challenges131 topic
  11. Predictive Modeling132 topics
  12. Radiology Errors101 topic
  13. Structured Reporting101 topic
  14. Quantitative Analysis81 topic
  15. Radiomics81 topic
  16. Dual-Energy CT61 topic
  17. Material Differentiation61 topic
  18. Electronic Health Records51 topic
  19. Patient Similarity51 topic
  20. Big Data Analytics41 topic
  21. Lung Ultrasound41 topic
  22. Medical Diagnosis41 topic
  23. Point-of-Care Ultrasonography41 topic

Where does Jarrel C. Y. Seah work?

Jarrel C. Y. Seah's main affiliation in the publication record is Alfred Health, Australia.

How many publications and citations does Jarrel C. Y. Seah have?

OpenAlex counts 52 works and 1,365 citations for Jarrel C. Y. Seah, an h-index of 20, ranking #676,671 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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