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Researcher · Carnegie Mellon University · United States

Noah A. Smith

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

ORCID 0000-0002-2310-6380 OpenAlex
World rank
#7,182
of 7,710,434 ranked researchers
Rank in United States
#2,475
of 1,627,098
Works
552
Citations
33k
Citations per work
58.9
h-index
84
i10-index 311Top 0.1% in Artificial Intelligence
Noah A. Smith

What does Noah A. Smith research?

Noah A. Smith's work is mostly in Computer Science (82%), Social Sciences (2%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 454 works · 82.3% of their workComputer Science: 454 works · 82.3% of their workArtificial Intelligence: 410 works · 74.3% of their workComputer Vision and Pattern Recognition: 33 works · 5.9% of their workInformation Systems: 12 works · 2.1% of their workEverything else: 73 works · 13.3% of their workSocial Sciences: 13 works · 2.4% of their workSocial Sciences: 13 works · 2.4% of their workSociology and Political Science: 8 works · 1.4% of their workCommunication: 6 works · 1.0% of their workLife Sciences: 11 works · 2.0% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 2.0% of their workMolecular Biology: 11 works · 2.0% of their workTHEIR WORKNoah A. Smith552works
Life Sciences2%Physical Sciences82%Social Sciences2%

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 Science45482.3%
  2. Everything else7313.3%
    1. Social Sciences132.4%
    1. Biochemistry, Genetics and Molecular Biology112.0%
  1. 1Artificial Intelligence74% of their works
  2. 2Computer Vision and Pattern Recognition6% of their works
  3. 3Information Systems2% of their works
  4. 4Molecular Biology2% of their works
  5. 5Sociology and Political Science1% of their works
  6. 6Communication1% of their works

Research topics

Which keywords describe Noah A. Smith's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Machine Learning and Image Captioning.

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 19 words, with their numbers
  1. Neural Networks5304 topics
  2. Machine Translation3871 topic
  3. Word Representation3871 topic
  4. Neural Machine Translation3741 topic
  5. Statistical Machine Translation3741 topic
  6. Deep Learning1012 topics
  7. Machine Learning752 topics
  8. Image Captioning701 topic
  9. Visual Question Answering701 topic
  10. Readability Assessment441 topic
  11. Text Simplification441 topic
  12. Markov Decision Processes431 topic
  13. Spoken Dialogue Systems431 topic
  14. Acoustic Modeling311 topic
  15. Active Learning311 topic
  16. Deep Neural Networks311 topic
  17. Semi-Supervised Learning311 topic
  18. Automatic291 topic
  19. Extraction291 topic

Where does Noah A. Smith work?

Noah A. Smith's main affiliation in the publication record is Carnegie Mellon University, United States.

How many publications and citations does Noah A. Smith have?

OpenAlex counts 552 works and 32,521 citations for Noah A. Smith, an h-index of 84, ranking #7,182 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.

Other researchers named Noah A. Smith

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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