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Researcher · University of Massachusetts Amherst · United States

Andrew McCallum

Andrew McCallum publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Natural Language Processing Techniques and Machine Learning and Algorithms.

OpenAlex
World rank
#34,655
of 7,710,434 ranked researchers
Rank in United States
#13,217
of 1,627,098
Works
378
Citations
51k
Citations per work
136.1
h-index
82
i10-index 207Top 0.1% in Artificial Intelligence
Andrew McCallum

What does Andrew McCallum research?

Andrew McCallum's work is mostly in Computer Science (82%), Biochemistry, Genetics and Molecular Biology (5%), Decision Sciences (4%).

Physical Sciences: 312 works · 82.5% of their workComputer Science: 312 works · 82.5% of their workArtificial Intelligence: 280 works · 74.0% of their workComputer Vision and Pattern Recognition: 16 works · 4.3% of their workInformation Systems: 10 works · 2.6% of their workSignal Processing: 6 works · 1.6% of their workEverything else: 34 works · 8.9% of their workLife Sciences: 18 works · 4.7% of their workBiochemistry, Genetics and Molecular Biology: 18 works · 4.7% of their workMolecular Biology: 18 works · 4.7% of their workSocial Sciences: 15 works · 3.9% of their workDecision Sciences: 15 works · 3.9% of their workManagement Science and Operations Research: 15 works · 3.9% of their workTHEIR WORKAndrew McCallum378works
Life Sciences5%Physical Sciences82%Social Sciences4%

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 Science31282.5%
  2. Everything else348.9%
    1. Biochemistry, Genetics and Molecular Biology184.7%
    1. Decision Sciences153.9%
  1. 1Artificial Intelligence74% of their works
  2. 2Molecular Biology5% of their works
  3. 3Computer Vision and Pattern Recognition4% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Information Systems3% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Andrew McCallum's research?

The keywords of their largest research topics: Neural Networks, Word Representation, Neural Machine Translation, Statistical Machine Translation, Data Integration, Semantic Web, 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 Networks2451 topic
  2. Word Representation2451 topic
  3. Neural Machine Translation1911 topic
  4. Statistical Machine Translation1911 topic
  5. Data Integration1063 topics
  6. Semantic Web662 topics
  7. Active Learning421 topic
  8. Machine Learning421 topic
  9. Bayesian Networks401 topic
  10. Causal Inference401 topic
  11. Data Cleaning401 topic
  12. Record Linkage401 topic
  13. Biomedical Ontologies371 topic
  14. Text Mining371 topic
  15. Hyperparameter Optimization331 topic
  16. Noisy Labels331 topic
  17. Linked Data291 topic
  18. Ontology291 topic

Where does Andrew McCallum work?

Andrew McCallum's main affiliation in the publication record is University of Massachusetts Amherst, United States.

How many publications and citations does Andrew McCallum have?

OpenAlex counts 378 works and 51,444 citations for Andrew McCallum, an h-index of 82, ranking #34,655 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 Andrew McCallum

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