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Researcher · Carnegie Mellon University · United States

Tom M. Mitchell

Tom M. Mitchell publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Machine Learning and Algorithms.

ORCID 0000-0001-7373-0301 OpenAlex
World rank
#20,633
of 7,710,434 ranked researchers
Rank in United States
#7,517
of 1,627,098
Works
345
Citations
50k
Citations per work
144.1
h-index
82
i10-index 199Top 0.1% in Artificial Intelligence
Tom M. Mitchell

What does Tom M. Mitchell research?

Tom M. Mitchell's work is mostly in Computer Science (61%), Neuroscience (9%), Psychology (3%).

Physical Sciences: 209 works · 60.6% of their workComputer Science: 209 works · 60.6% of their workArtificial Intelligence: 185 works · 53.5% of their workInformation Systems: 14 works · 4.2% of their workComputer Vision and Pattern Recognition: 10 works · 2.9% of their workEverything else: 87 works · 25.2% of their workLife Sciences: 39 works · 11.2% of their workNeuroscience: 30 works · 8.8% of their workCognitive Neuroscience: 30 works · 8.8% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 2.4% of their workMolecular Biology: 8 works · 2.4% of their workSocial Sciences: 10 works · 3.0% of their workPsychology: 10 works · 3.0% of their workDevelopmental and Educational Psychology: 10 works · 3.0% of their workTHEIR WORKTom M. Mitchell345works
Life Sciences11%Physical Sciences61%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 Science20960.6%
  2. Everything else8725.2%
    1. Neuroscience308.8%
    2. Biochemistry, Genetics and Molecular Biology82.4%
    1. Psychology103.0%
  1. 1Artificial Intelligence54% of their works
  2. 2Cognitive Neuroscience9% of their works
  3. 3Information Systems4% of their works
  4. 4Developmental and Educational Psychology3% of their works
  5. 5Computer Vision and Pattern Recognition3% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Tom M. Mitchell's research?

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

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 18 words, with their numbers
  1. Neural Networks1162 topics
  2. Machine Translation961 topic
  3. Word Representation961 topic
  4. Neural Machine Translation791 topic
  5. Statistical Machine Translation791 topic
  6. Deep Learning532 topics
  7. Active Learning331 topic
  8. Machine Learning331 topic
  9. Heuristic Search301 topic
  10. Planning Systems301 topic
  11. Ontology291 topic
  12. Semantic Web291 topic
  13. Language Processing241 topic
  14. Semantic Memory241 topic
  15. Affective States221 topic
  16. Intelligent Tutoring Systems221 topic
  17. Backpropagation Learning201 topic
  18. Self-Organizing Maps201 topic

Where does Tom M. Mitchell work?

Tom M. Mitchell's main affiliation in the publication record is Carnegie Mellon University, United States.

How many publications and citations does Tom M. Mitchell have?

OpenAlex counts 345 works and 49,720 citations for Tom M. Mitchell, an h-index of 82, ranking #20,633 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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