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Researcher · Massachusetts General Hospital · United States

Parisa Kaviani

Parisa Kaviani publishes mostly in Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine, on topics such as Radiomics and Machine Learning in Medical Imaging, Radiology practices and education and Advanced X-ray and CT Imaging.

ORCID 0000-0003-0911-7507 OpenAlex
World rank
#2,047,749
of 7,710,434 ranked researchers
Rank in United States
#619,963
of 1,627,098
Works
38
Citations
475
Citations per work
12.5
h-index
11
i10-index 11Top 50% in Radiology, Nuclear Medicine and Imaging
Parisa Kaviani

What does Parisa Kaviani research?

Parisa Kaviani's work is mostly in Medicine (61%), Engineering (10%), Computer Science (4%).

Health Sciences: 23 works · 61.4% of their workMedicine: 23 works · 61.4% of their workRadiology, Nuclear Medicine and Imaging: 17 works · 44.7% of their workPulmonary and Respiratory Medicine: 3 works · 8.8% of their workHealth Informatics: 2 works · 4.4% of their workNephrology: 1 works · 3.5% of their workEverything else: 9 works · 24.6% of their workPhysical Sciences: 5 works · 14.0% of their workEngineering: 4 works · 10.5% of their workBiomedical Engineering: 4 works · 10.5% of their workComputer Science: 1 works · 3.5% of their workArtificial Intelligence: 1 works · 3.5% of their workTHEIR WORKParisa Kaviani38works
Physical Sciences14%Health Sciences61%

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. Medicine2361.4%
  2. Everything else924.6%
    1. Engineering410.5%
    2. Computer Science13.5%
  1. 1Radiology, Nuclear Medicine and Imaging45% of their works
  2. 2Biomedical Engineering10% of their works
  3. 3Pulmonary and Respiratory Medicine9% of their works
  4. 4Health Informatics4% of their works
  5. 5Nephrology4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Parisa Kaviani's research?

The keywords of their largest research topics: Medical Imaging, Machine Learning, Precision Medicine, Artificial Intelligence, Quantitative Analysis, Radiomics, Radiology Errors and Structured Reporting.

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. Medical Imaging293 topics
  2. Machine Learning192 topics
  3. Precision Medicine192 topics
  4. Artificial Intelligence152 topics
  5. Quantitative Analysis141 topic
  6. Radiomics141 topic
  7. Radiology Errors121 topic
  8. Structured Reporting121 topic
  9. Dual-Energy CT111 topic
  10. Material Differentiation111 topic
  11. COVID-19101 topic
  12. Deep Learning101 topic
  13. Computed Tomography91 topic
  14. Radiation Exposure91 topic
  15. CT Screening61 topic
  16. Lung Cancer61 topic
  17. Clinical Decision Support51 topic
  18. Healthcare51 topic
  19. Neural Networks41 topic
  20. Word Representation41 topic

Where does Parisa Kaviani work?

Parisa Kaviani's main affiliation in the publication record is Massachusetts General Hospital, United States.

How many publications and citations does Parisa Kaviani have?

OpenAlex counts 38 works and 475 citations for Parisa Kaviani, an h-index of 11, ranking #2,047,749 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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