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Researcher · Ericsson (Canada) · Canada

Aydin Sarraf

Aydin Sarraf publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Applied Mathematics, on topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-4817-8161 OpenAlex
World rank
#4,124,641
of 7,710,434 ranked researchers
Rank in Canada
#127,354
of 183,316
Works
24
Citations
119
Citations per work
5.0
h-index
7
i10-index 4Top 69% in Computer Vision and Pattern Recognition
Aydin Sarraf

What does Aydin Sarraf research?

Aydin Sarraf's work is mostly in Computer Science (49%), Mathematics (13%), Medicine (4%).

Physical Sciences: 15 works · 62.0% of their workComputer Science: 12 works · 49.3% of their workComputer Vision and Pattern Recognition: 7 works · 28.2% of their workArtificial Intelligence: 4 works · 16.9% of their workComputer Networks and Communications: 1 works · 4.2% of their workMathematics: 3 works · 12.7% of their workApplied Mathematics: 2 works · 8.5% of their workMathematical Physics: 1 works · 4.2% of their workEverything else: 8 works · 33.8% of their workHealth Sciences: 1 works · 4.2% of their workMedicine: 1 works · 4.2% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.2% of their workTHEIR WORKAydin Sarraf24works
Physical Sciences62%Health Sciences4%

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 Science1249.3%
    2. Mathematics312.7%
  2. Everything else833.8%
    1. Medicine14.2%
  1. 1Computer Vision and Pattern Recognition28% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Applied Mathematics8% of their works
  4. 4Radiology, Nuclear Medicine and Imaging4% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Mathematical Physics4% of their works

Research topics

Which keywords describe Aydin Sarraf's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Transfer Learning, Unsupervised Learning, Image Recognition, Object Detection, Domain Adaptation and Few-Shot Learning.

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. Deep Learning256 topics
  2. Convolutional Neural Networks153 topics
  3. Transfer Learning112 topics
  4. Unsupervised Learning112 topics
  5. Image Recognition101 topic
  6. Object Detection101 topic
  7. Domain Adaptation81 topic
  8. Few-Shot Learning81 topic
  9. Feature Matching51 topic
  10. Local Descriptors51 topic
  11. Neural Networks52 topics
  12. COVID-1931 topic
  13. Generative Adversarial Networks31 topic
  14. Image Synthesis31 topic
  15. Medical Imaging31 topic
  16. 3D Mapping21 topic
  17. Backpropagation Learning21 topic
  18. Image Denoising21 topic
  19. SLAM21 topic
  20. Self-Organizing Maps21 topic
  21. Sparse Representations21 topic

Where does Aydin Sarraf work?

Aydin Sarraf's main affiliation in the publication record is Ericsson (Canada), Canada.

How many publications and citations does Aydin Sarraf have?

OpenAlex counts 24 works and 119 citations for Aydin Sarraf, an h-index of 7, ranking #4,124,641 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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