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Researcher · Vector Institute · Canada

Arash Afkanpour

Arash Afkanpour publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, on topics such as Domain Adaptation and Few-Shot Learning, Topic Modeling and Multimodal Machine Learning Applications.

OpenAlex
World rank
#4,404,350
of 7,710,434 ranked researchers
Rank in Canada
#134,004
of 183,316
Works
27
Citations
56
Citations per work
2.1
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Arash Afkanpour

What does Arash Afkanpour research?

Arash Afkanpour's work is mostly in Computer Science (87%), Materials Science (3%), Medicine (3%).

Physical Sciences: 24 works · 89.8% of their workComputer Science: 23 works · 86.9% of their workArtificial Intelligence: 19 works · 69.6% of their workComputer Vision and Pattern Recognition: 4 works · 15.9% of their workSignal Processing: 0 works · 1.4% of their workMaterials Science: 1 works · 2.9% of their workMaterials Chemistry: 1 works · 2.9% of their workEverything else: 1 works · 4.4% of their workHealth Sciences: 1 works · 2.9% of their workMedicine: 1 works · 2.9% of their workHealth Informatics: 1 works · 2.9% of their workSocial Sciences: 1 works · 2.9% of their workDecision Sciences: 1 works · 2.9% of their workManagement Science and Operations Research: 1 works · 2.9% of their workTHEIR WORKArash Afkanpour27works
Physical Sciences90%Health Sciences3%Social Sciences3%

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 Science2386.9%
    2. Materials Science12.9%
  2. Everything else14.4%
    1. Medicine12.9%
    1. Decision Sciences12.9%
  1. 1Artificial Intelligence70% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Management Science and Operations Research3% of their works
  4. 4Materials Chemistry3% of their works
  5. 5Health Informatics3% of their works
  6. 6Signal Processing1% of their works

Research topics

Which keywords describe Arash Afkanpour's research?

The keywords of their largest research topics: Semi-Supervised Learning, Deep Learning, Neural Networks, Machine Learning, Domain Adaptation, Transfer Learning, Gaussian Processes and Machine Translation.

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. Semi-Supervised Learning142 topics
  2. Deep Learning133 topics
  3. Neural Networks132 topics
  4. Machine Learning113 topics
  5. Domain Adaptation101 topic
  6. Transfer Learning101 topic
  7. Gaussian Processes82 topics
  8. Machine Translation81 topic
  9. Word Representation81 topic
  10. Image Captioning51 topic
  11. Visual Question Answering51 topic
  12. Active Learning41 topic
  13. Image Classification41 topic
  14. Sparse Regression41 topic
  15. Variational Inference41 topic
  16. Differential Privacy31 topic
  17. Federated Learning31 topic
  18. Interpretable Models31 topic
  19. Machine Learning Interpretability31 topic
  20. Neural Machine Translation31 topic
  21. Statistical Machine Translation31 topic

Where does Arash Afkanpour work?

Arash Afkanpour's main affiliation in the publication record is Vector Institute, Canada.

How many publications and citations does Arash Afkanpour have?

OpenAlex counts 27 works and 56 citations for Arash Afkanpour, an h-index of 5, ranking #4,404,350 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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