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Researcher · IBM (United States) · United States

Aaron K. Baughman

Aaron K. Baughman publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Sports Analytics and Performance, Music and Audio Processing and Artificial Intelligence in Games.

ORCID 0000-0002-2167-5133 OpenAlex
World rank
#4,168,368
of 7,710,434 ranked researchers
Rank in United States
#1,127,329
of 1,627,098
Works
19
Citations
104
Citations per work
5.5
h-index
6
i10-index 5Top 74% in Artificial Intelligence
Aaron K. Baughman

What does Aaron K. Baughman research?

Aaron K. Baughman's work is mostly in Computer Science (80%), Economics, Econometrics and Finance (12%).

Physical Sciences: 15 works · 79.6% of their workComputer Science: 15 works · 79.6% of their workArtificial Intelligence: 5 works · 24.5% of their workComputer Vision and Pattern Recognition: 5 works · 24.5% of their workSignal Processing: 4 works · 20.4% of their workInformation Systems: 1 works · 6.1% of their workComputer Networks and Communications: 1 works · 4.1% of their workSocial Sciences: 2 works · 12.2% of their workEconomics, Econometrics and Finance: 2 works · 12.2% of their workEconomics and Econometrics: 2 works · 12.2% of their workEverything else: 2 works · 8.2% of their workTHEIR WORKAaron K. Baughman19works
Physical Sciences80%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 Science1579.6%
    1. Economics, Econometrics and Finance212.2%
  3. Everything else28.2%
  1. 1Artificial Intelligence24% of their works
  2. 2Computer Vision and Pattern Recognition24% of their works
  3. 3Signal Processing20% of their works
  4. 4Economics and Econometrics12% of their works
  5. 5Information Systems6% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Aaron K. Baughman's research?

The keywords of their largest research topics: Deep Learning, Feature Extraction, Competitive Balance, Dimensionality Reduction, Prediction Markets, Audio Signal Classification, Music Information Retrieval and Clustering.

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. Deep Learning72 topics
  2. Feature Extraction72 topics
  3. Competitive Balance61 topic
  4. Dimensionality Reduction62 topics
  5. Prediction Markets61 topic
  6. Audio Signal Classification41 topic
  7. Music Information Retrieval41 topic
  8. Clustering31 topic
  9. Face Recognition31 topic
  10. Feature Selection31 topic
  11. Information Visualization31 topic
  12. Monte Carlo Tree Search31 topic
  13. Procedural Content Generation31 topic
  14. Time Series31 topic
  15. Visual Analytics31 topic
  16. Concept Drift21 topic
  17. Data Streams21 topic
  18. Neural Networks21 topic
  19. Word Representation21 topic

Where does Aaron K. Baughman work?

Aaron K. Baughman's main affiliation in the publication record is IBM (United States), United States.

How many publications and citations does Aaron K. Baughman have?

OpenAlex counts 19 works and 104 citations for Aaron K. Baughman, an h-index of 6, ranking #4,168,368 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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