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Researcher · University of Waterloo · Canada

Mohammad Javad Shafiee

Mohammad Javad Shafiee publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging and Anomaly Detection Techniques and Applications.

ORCID 0000-0001-5989-8255 OpenAlex
World rank
#5,038,948
of 7,710,434 ranked researchers
Rank in Canada
#148,216
of 183,316
Works
137
Citations
1.4k
Citations per work
10.1
h-index
20
i10-index 38Top 13% in Computer Vision and Pattern Recognition
Mohammad Javad Shafiee

What does Mohammad Javad Shafiee research?

Mohammad Javad Shafiee's work is mostly in Computer Science (53%), Medicine (13%), Engineering (9%).

Physical Sciences: 85 works · 62.0% of their workComputer Science: 73 works · 53.0% of their workComputer Vision and Pattern Recognition: 42 works · 31.0% of their workArtificial Intelligence: 30 works · 22.0% of their workEngineering: 12 works · 9.0% of their workElectrical and Electronic Engineering: 8 works · 5.6% of their workBiomedical Engineering: 5 works · 3.4% of their workEverything else: 34 works · 25.1% of their workHealth Sciences: 18 works · 12.9% of their workMedicine: 18 works · 12.9% of their workRadiology, Nuclear Medicine and Imaging: 14 works · 10.5% of their workPulmonary and Respiratory Medicine: 3 works · 2.4% of their workTHEIR WORKMohammad JavadShafiee137works
Physical Sciences62%Health Sciences13%

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 Science7353.0%
    2. Engineering129.0%
  2. Everything else3425.1%
    1. Medicine1812.9%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Radiology, Nuclear Medicine and Imaging10% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Pulmonary and Respiratory Medicine2% of their works

Research topics

Which keywords describe Mohammad Javad Shafiee's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Neural Networks, Machine Learning, 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. Deep Learning1005 topics
  2. Convolutional Neural Networks592 topics
  3. Image Recognition451 topic
  4. Object Detection451 topic
  5. Neural Networks403 topics
  6. Machine Learning302 topics
  7. Medical Imaging171 topic
  8. Radiomics171 topic
  9. Anomaly Detection141 topic
  10. Feature Matching141 topic
  11. Local Descriptors141 topic
  12. Object Tracking141 topic
  13. Unsupervised141 topic
  14. Visual Tracking141 topic
  15. Adversarial Examples131 topic
  16. Domain Adaptation131 topic
  17. Memristor131 topic
  18. Neuromorphic Computing131 topic
  19. Robustness131 topic
  20. Transfer Learning131 topic

Where does Mohammad Javad Shafiee work?

Mohammad Javad Shafiee's main affiliation in the publication record is University of Waterloo, Canada.

How many publications and citations does Mohammad Javad Shafiee have?

OpenAlex counts 137 works and 1,377 citations for Mohammad Javad Shafiee, an h-index of 20, ranking #5,038,948 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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