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Researcher · IBM Research - Almaden · United States

Anup Pillai

Anup Pillai publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as COVID-19 diagnosis using AI, Topic Modeling and Radiomics and Machine Learning in Medical Imaging.

ORCID 0000-0003-4211-6530 OpenAlex
World rank
#5,204,967
of 7,710,434 ranked researchers
Rank in United States
#1,335,401
of 1,627,098
Works
17
Citations
217
Citations per work
12.8
h-index
5
i10-index 3Top 87% in Radiology, Nuclear Medicine and Imaging
Anup Pillai

What does Anup Pillai research?

Anup Pillai's work is mostly in Medicine (27%), Computer Science (27%), Engineering (7%).

Everything else: 6 works · 34.2% of their workPhysical Sciences: 6 works · 34.0% of their workComputer Science: 5 works · 27.2% of their workArtificial Intelligence: 2 works · 13.6% of their workComputer Vision and Pattern Recognition: 2 works · 9.1% of their workInformation Systems: 1 works · 4.5% of their workEngineering: 1 works · 6.8% of their workCivil and Structural Engineering: 1 works · 6.8% of their workHealth Sciences: 5 works · 27.3% of their workMedicine: 5 works · 27.3% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 27.3% of their workLife Sciences: 1 works · 4.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.5% of their workMolecular Biology: 1 works · 4.5% of their workTHEIR WORKAnup Pillai17works
Life Sciences4%Physical Sciences34%Health Sciences27%

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. Everything else634.2%
    1. Computer Science527.2%
    2. Engineering16.8%
    1. Medicine527.3%
    1. Biochemistry, Genetics and Molecular Biology14.5%
  1. 1Radiology, Nuclear Medicine and Imaging27% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Civil and Structural Engineering7% of their works
  5. 5Molecular Biology4% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Anup Pillai's research?

The keywords of their largest research topics: Medical Imaging, Convolutional Neural Networks, Deep Learning, Chest X-Ray, COVID-19, Feature Extraction, Machine Learning and Neural Networks.

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. Medical Imaging82 topics
  2. Convolutional Neural Networks72 topics
  3. Deep Learning72 topics
  4. COVID-1951 topic
  5. Chest X-Ray51 topic
  6. Feature Extraction52 topics
  7. Machine Learning52 topics
  8. Neural Networks31 topic
  9. Quantitative Analysis31 topic
  10. Radiology Errors31 topic
  11. Radiomics31 topic
  12. Structured Reporting31 topic
  13. Word Representation31 topic
  14. Biomedical Ontologies21 topic
  15. Biometric Recognition21 topic
  16. Histopathology Images21 topic
  17. Medical Image Analysis21 topic
  18. Photogrammetry21 topic
  19. Security21 topic
  20. Text Mining21 topic
  21. UAV21 topic

Where does Anup Pillai work?

Anup Pillai's main affiliation in the publication record is IBM Research - Almaden, United States.

How many publications and citations does Anup Pillai have?

OpenAlex counts 17 works and 217 citations for Anup Pillai, an h-index of 5, ranking #5,204,967 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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