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Researcher · PathAI (United States) · United States

Dinkar Juyal

Dinkar Juyal publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Liver Disease Diagnosis and Treatment.

OpenAlex
World rank
#2,224,638
of 7,710,434 ranked researchers
Rank in United States
#666,501
of 1,627,098
Works
24
Citations
235
Citations per work
9.8
h-index
8
i10-index 5Top 56% in Artificial Intelligence
Dinkar Juyal

What does Dinkar Juyal research?

Dinkar Juyal's work is mostly in Computer Science (38%), Medicine (27%), Health Professions (8%).

Physical Sciences: 9 works · 38.1% of their workComputer Science: 9 works · 38.1% of their workArtificial Intelligence: 7 works · 28.6% of their workComputer Vision and Pattern Recognition: 2 works · 9.5% of their workHealth Sciences: 8 works · 34.8% of their workMedicine: 6 works · 26.9% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 11.1% of their workEpidemiology: 2 works · 7.9% of their workOncology: 2 works · 7.9% of their workHealth Professions: 2 works · 7.9% of their workHealth Information Management: 2 works · 7.9% of their workEverything else: 7 works · 27.1% of their workTHEIR WORKDinkar Juyal24works
Physical Sciences38%Health Sciences35%

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 Science938.1%
    1. Medicine626.9%
    2. Health Professions27.9%
  3. Everything else727.1%
  1. 1Artificial Intelligence29% of their works
  2. 2Radiology, Nuclear Medicine and Imaging11% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Health Information Management8% of their works
  5. 5Epidemiology8% of their works
  6. 6Oncology8% of their works

Research topics

Which keywords describe Dinkar Juyal's research?

The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Deep Learning, Histopathology Images, Feature Extraction, Medical Imaging and Radiomics.

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 20 words, with their numbers
  1. Machine Learning274 topics
  2. Convolutional Neural Networks162 topics
  3. Medical Image Analysis162 topics
  4. Deep Learning131 topic
  5. Histopathology Images131 topic
  6. Feature Extraction102 topics
  7. Medical Imaging71 topic
  8. Radiomics71 topic
  9. NAFLD51 topic
  10. NASH51 topic
  11. Big Data Analytics41 topic
  12. Healthcare41 topic
  13. Leukemia Classification31 topic
  14. Malaria Parasite Detection31 topic
  15. Biomedical Ontologies21 topic
  16. Cancer Genomics21 topic
  17. Classification21 topic
  18. Imbalanced Data21 topic
  19. Mutational Signatures21 topic
  20. Text Mining21 topic

Where does Dinkar Juyal work?

Dinkar Juyal's main affiliation in the publication record is PathAI (United States), United States.

How many publications and citations does Dinkar Juyal have?

OpenAlex counts 24 works and 235 citations for Dinkar Juyal, an h-index of 8, ranking #2,224,638 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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