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Researcher · Carleton College · United States

David R. Musicant

David R. Musicant publishes mostly in Artificial Intelligence, Information Systems and Computer Science Applications, on topics such as Data Mining Algorithms and Applications, Machine Learning and Data Classification and Data Stream Mining Techniques.

ORCID 0000-0002-6580-382X OpenAlex
World rank
#591,985
of 7,710,434 ranked researchers
Rank in United States
#203,384
of 1,627,098
Works
43
Citations
1.6k
Citations per work
38.2
h-index
18
i10-index 21Top 16% in Artificial Intelligence
David R. Musicant

What does David R. Musicant research?

David R. Musicant's work is mostly in Computer Science (51%), Social Sciences (5%).

Physical Sciences: 22 works · 51.3% of their workComputer Science: 22 works · 51.3% of their workArtificial Intelligence: 9 works · 21.4% of their workInformation Systems: 6 works · 13.7% of their workComputer Science Applications: 3 works · 6.8% of their workSignal Processing: 2 works · 5.1% of their workComputer Vision and Pattern Recognition: 2 works · 4.3% of their workEverything else: 19 works · 43.6% of their workSocial Sciences: 2 works · 5.1% of their workSocial Sciences: 2 works · 5.1% of their workCommunication: 2 works · 5.1% of their workTHEIR WORKDavid R. Musicant43works
Physical Sciences51%Social Sciences5%

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 Science2251.3%
  2. Everything else1943.6%
    1. Social Sciences25.1%
  1. 1Artificial Intelligence21% of their works
  2. 2Information Systems14% of their works
  3. 3Computer Science Applications7% of their works
  4. 4Signal Processing5% of their works
  5. 5Communication5% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe David R. Musicant's research?

The keywords of their largest research topics: Data Mining, Frequent Patterns, Collaboration, Concept Drift, Data Streams, Hyperparameter Optimization, Noisy Labels and Wikipedia.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 16 words, with their numbers
  1. Data Mining61 topic
  2. Frequent Patterns61 topic
  3. Collaboration51 topic
  4. Concept Drift51 topic
  5. Data Streams51 topic
  6. Hyperparameter Optimization51 topic
  7. Noisy Labels51 topic
  8. Wikipedia51 topic
  9. Computational Thinking41 topic
  10. GPS Trajectories41 topic
  11. Neural Networks41 topic
  12. Optimization Software41 topic
  13. Programming Education41 topic
  14. Self-Organizing Maps41 topic
  15. Semidefinite Programming41 topic
  16. Trajectory Data Mining41 topic

Where does David R. Musicant work?

David R. Musicant's main affiliation in the publication record is Carleton College, United States.

How many publications and citations does David R. Musicant have?

OpenAlex counts 43 works and 1,644 citations for David R. Musicant, an h-index of 18, ranking #591,985 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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