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Researcher · University of Houston · United States

Pietro Antonio Cicalese

Pietro Antonio Cicalese publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Domain Adaptation and Few-Shot Learning and Digital Imaging for Blood Diseases.

ORCID 0000-0002-6620-2911 OpenAlex
World rank
#2,120,914
of 7,710,434 ranked researchers
Rank in United States
#639,474
of 1,627,098
Works
21
Citations
506
Citations per work
24.1
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Pietro Antonio Cicalese

What does Pietro Antonio Cicalese research?

Pietro Antonio Cicalese's work is mostly in Medicine (38%), Computer Science (36%).

Health Sciences: 8 works · 37.9% of their workMedicine: 8 works · 37.9% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 12.1% of their workNephrology: 2 works · 10.3% of their workPulmonary and Respiratory Medicine: 2 works · 10.3% of their workPathology and Forensic Medicine: 1 works · 5.2% of their workPhysical Sciences: 8 works · 36.2% of their workComputer Science: 8 works · 36.2% of their workArtificial Intelligence: 5 works · 22.4% of their workComputer Vision and Pattern Recognition: 3 works · 13.8% of their workEverything else: 5 works · 25.9% of their workTHEIR WORKPietro AntonioCicalese21works
Physical Sciences36%Health Sciences38%

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. Medicine837.9%
    1. Computer Science836.2%
  3. Everything else525.9%
  1. 1Artificial Intelligence22% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Radiology, Nuclear Medicine and Imaging12% of their works
  4. 4Pulmonary and Respiratory Medicine10% of their works
  5. 5Nephrology10% of their works
  6. 6Pathology and Forensic Medicine5% of their works

Research topics

Which keywords describe Pietro Antonio Cicalese's research?

The keywords of their largest research topics: Convolutional Neural Networks, Machine Learning, Medical Image Analysis, Deep Learning, Transfer Learning, Autoantibodies, Computer-Aided Detection and Domain Adaptation.

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. Convolutional Neural Networks113 topics
  2. Machine Learning82 topics
  3. Medical Image Analysis82 topics
  4. Deep Learning72 topics
  5. Transfer Learning72 topics
  6. Autoantibodies62 topics
  7. Computer-Aided Detection41 topic
  8. Domain Adaptation41 topic
  9. Few-Shot Learning41 topic
  10. Glomerular Diseases41 topic
  11. Histopathology Images41 topic
  12. Leukemia Classification41 topic
  13. Malaria Parasite Detection41 topic
  14. Nephrotic Syndrome41 topic
  15. Antiphospholipid Syndrome31 topic
  16. COVID-1931 topic
  17. Fibromuscular Dysplasia31 topic
  18. Fibrosis31 topic
  19. Medical Imaging31 topic
  20. Renal Artery Stenosis31 topic
  21. Systemic Lupus Erythematosus31 topic
  22. Systemic Sclerosis31 topic

Where does Pietro Antonio Cicalese work?

Pietro Antonio Cicalese's main affiliation in the publication record is University of Houston, United States.

How many publications and citations does Pietro Antonio Cicalese have?

OpenAlex counts 21 works and 506 citations for Pietro Antonio Cicalese, an h-index of 9, ranking #2,120,914 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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