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Researcher · Amazon (United States) · United States

Yaser Al-Onaizan

Yaser Al-Onaizan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Natural Language Processing Techniques, Topic Modeling and Multimodal Machine Learning Applications.

OpenAlex
World rank
#1,153,666
of 7,710,434 ranked researchers
Rank in United States
#371,448
of 1,627,098
Works
58
Citations
1.9k
Citations per work
32.8
h-index
20
i10-index 24Top 13% in Artificial Intelligence
Yaser Al-Onaizan

What does Yaser Al-Onaizan research?

Yaser Al-Onaizan's work is mostly in Computer Science (91%), Decision Sciences (3%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 53 works · 91.3% of their workComputer Science: 53 works · 91.3% of their workArtificial Intelligence: 45 works · 78.3% of their workComputer Vision and Pattern Recognition: 4 works · 6.8% of their workInformation Systems: 2 works · 4.3% of their workSignal Processing: 1 works · 1.9% of their workEverything else: 2 works · 4.3% of their workSocial Sciences: 1 works · 2.5% of their workDecision Sciences: 1 works · 2.5% of their workManagement Science and Operations Research: 1 works · 2.5% of their workLife Sciences: 1 works · 1.9% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.9% of their workMolecular Biology: 1 works · 1.9% of their workTHEIR WORKYaser Al-Onaizan58works
Life Sciences2%Physical Sciences91%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 Science5391.3%
  2. Everything else24.3%
    1. Decision Sciences12.5%
    1. Biochemistry, Genetics and Molecular Biology11.9%
  1. 1Artificial Intelligence78% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Information Systems4% of their works
  4. 4Management Science and Operations Research2% of their works
  5. 5Signal Processing2% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Yaser Al-Onaizan's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Neural Machine Translation, Statistical Machine Translation, Word Representation, Image Captioning, Visual Question Answering and Automatic.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 17 words, with their numbers
  1. Neural Networks543 topics
  2. Machine Translation381 topic
  3. Neural Machine Translation381 topic
  4. Statistical Machine Translation381 topic
  5. Word Representation381 topic
  6. Image Captioning101 topic
  7. Visual Question Answering101 topic
  8. Automatic61 topic
  9. Extraction61 topic
  10. Acoustic Modeling51 topic
  11. Agent-Based Modeling51 topic
  12. Code Clone Detection51 topic
  13. Deep Neural Networks51 topic
  14. Multi-Agent Systems51 topic
  15. Ontology51 topic
  16. Refactoring51 topic
  17. Semantic Web51 topic

Where does Yaser Al-Onaizan work?

Yaser Al-Onaizan's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Yaser Al-Onaizan have?

OpenAlex counts 58 works and 1,901 citations for Yaser Al-Onaizan, an h-index of 20, ranking #1,153,666 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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