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Researcher · Stanford University · United States

Christopher D. Manning

Christopher D. Manning publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science, on topics such as Natural Language Processing Techniques, Topic Modeling and Multimodal Machine Learning Applications.

ORCID 0000-0001-6155-649X OpenAlex
World rank
#2,090
of 7,710,434 ranked researchers
Rank in United States
#784
of 1,627,098
Works
773
Citations
179k
Citations per work
231.5
h-index
135
i10-index 433Top 0.1% in Artificial Intelligence
Christopher D. Manning

What does Christopher D. Manning research?

Christopher D. Manning's work is mostly in Computer Science (63%), Social Sciences (8%), Economics, Econometrics and Finance (4%).

Physical Sciences: 490 works · 63.4% of their workComputer Science: 490 works · 63.4% of their workArtificial Intelligence: 448 works · 58.0% of their workComputer Vision and Pattern Recognition: 42 works · 5.4% of their workEverything else: 172 works · 22.2% of their workSocial Sciences: 92 works · 11.9% of their workSocial Sciences: 63 works · 8.2% of their workSociology and Political Science: 40 works · 5.2% of their workPolitical Science and International Relations: 23 works · 3.0% of their workEconomics, Econometrics and Finance: 29 works · 3.7% of their workEconomics and Econometrics: 29 works · 3.7% of their workLife Sciences: 19 works · 2.5% of their workBiochemistry, Genetics and Molecular Biology: 19 works · 2.5% of their workMolecular Biology: 19 works · 2.5% of their workTHEIR WORKChristopher D.Manning773works
Life Sciences3%Physical Sciences63%Social Sciences12%

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 Science49063.4%
  2. Everything else17222.2%
    1. Social Sciences638.2%
    2. Economics, Econometrics and Finance293.7%
    1. Biochemistry, Genetics and Molecular Biology192.5%
  1. 1Artificial Intelligence58% of their works
  2. 2Computer Vision and Pattern Recognition5% of their works
  3. 3Sociology and Political Science5% of their works
  4. 4Economics and Econometrics4% of their works
  5. 5Political Science and International Relations3% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Christopher D. Manning's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Neural Machine Translation, Statistical Machine Translation, Word Representation, Natural Language Processing, Data Integration and Semantic Web.

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 Networks4983 topics
  2. Machine Translation3821 topic
  3. Neural Machine Translation3821 topic
  4. Statistical Machine Translation3821 topic
  5. Word Representation3821 topic
  6. Natural Language Processing982 topics
  7. Data Integration952 topics
  8. Semantic Web952 topics
  9. Image Captioning601 topic
  10. Visual Question Answering601 topic
  11. Readability Assessment561 topic
  12. Text Simplification561 topic
  13. Linked Data531 topic
  14. Ontology531 topic
  15. Markov Decision Processes511 topic
  16. Spoken Dialogue Systems511 topic
  17. Biomedical Ontologies421 topic
  18. Text Mining421 topic
  19. Immigration341 topic
  20. Remittances341 topic

Where does Christopher D. Manning work?

Christopher D. Manning's main affiliation in the publication record is Stanford University, United States.

How many publications and citations does Christopher D. Manning have?

OpenAlex counts 773 works and 178,931 citations for Christopher D. Manning, an h-index of 135, ranking #2,090 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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