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Researcher · Educational Testing Service · United States

Joel Tetreault

Joel Tetreault publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.

ORCID 0009-0003-3552-842X OpenAlex
World rank
#88,466
of 7,710,434 ranked researchers
Rank in United States
#34,171
of 1,627,098
Works
193
Citations
7.1k
Citations per work
37.0
h-index
44
i10-index 92Top 1.5% in Artificial Intelligence
Joel Tetreault

What does Joel Tetreault research?

Joel Tetreault's work is mostly in Computer Science (82%), Psychology (3%), Arts and Humanities (2%).

Physical Sciences: 157 works · 81.6% of their workComputer Science: 157 works · 81.6% of their workArtificial Intelligence: 145 works · 75.2% of their workComputer Vision and Pattern Recognition: 7 works · 3.4% of their workInformation Systems: 6 works · 3.0% of their workEverything else: 21 works · 11.0% of their workSocial Sciences: 14 works · 7.4% of their workPsychology: 5 works · 2.6% of their workDevelopmental and Educational Psychology: 5 works · 2.6% of their workArts and Humanities: 5 works · 2.4% of their workLanguage and Linguistics: 5 works · 2.4% of their workSocial Sciences: 5 works · 2.4% of their workSociology and Political Science: 5 works · 2.4% of their workTHEIR WORKJoel Tetreault193works
Physical Sciences82%Social Sciences7%

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 Science15781.6%
  2. Everything else2111.0%
    1. Psychology52.6%
    2. Arts and Humanities52.4%
    3. Social Sciences52.4%
  1. 1Artificial Intelligence75% of their works
  2. 2Computer Vision and Pattern Recognition3% of their works
  3. 3Information Systems3% of their works
  4. 4Developmental and Educational Psychology3% of their works
  5. 5Language and Linguistics2% of their works
  6. 6Sociology and Political Science2% of their works

Research topics

Which keywords describe Joel Tetreault's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Machine Translation, Word Representation, Machine Learning, Natural Language Processing and Readability Assessment.

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. Neural Networks1834 topics
  2. Neural Machine Translation1171 topic
  3. Statistical Machine Translation1171 topic
  4. Machine Translation1141 topic
  5. Word Representation1141 topic
  6. Machine Learning592 topics
  7. Natural Language Processing592 topics
  8. Readability Assessment501 topic
  9. Text Simplification501 topic
  10. Markov Decision Processes341 topic
  11. Spoken Dialogue Systems341 topic
  12. Deep Learning182 topics
  13. Affective States111 topic
  14. Intelligent Tutoring Systems111 topic
  15. Automatic101 topic
  16. Extraction101 topic
  17. Detection91 topic
  18. Hate Speech91 topic
  19. Image Captioning91 topic
  20. Visual Question Answering91 topic

Where does Joel Tetreault work?

Joel Tetreault's main affiliation in the publication record is Educational Testing Service, United States.

How many publications and citations does Joel Tetreault have?

OpenAlex counts 193 works and 7,133 citations for Joel Tetreault, an h-index of 44, ranking #88,466 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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