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Researcher · Core Competence · United States

Dc Burr

Dc Burr publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Music and Audio Processing, Neural Networks and Applications and Visual perception and processing mechanisms.

OpenAlex
World rank
#2,800,965
of 7,710,434 ranked researchers
Rank in United States
#812,739
of 1,627,098
Works
27
Citations
724
Citations per work
26.8
h-index
8
i10-index 8Top 60% in Computer Vision and Pattern Recognition
Dc Burr

What does Dc Burr research?

Dc Burr's work is mostly in Computer Science (56%), Neuroscience (6%), Medicine (5%).

Physical Sciences: 16 works · 59.4% of their workComputer Science: 15 works · 56.3% of their workComputer Vision and Pattern Recognition: 6 works · 21.9% of their workArtificial Intelligence: 5 works · 17.2% of their workSignal Processing: 5 works · 17.2% of their workMathematics: 1 works · 3.1% of their workApplied Mathematics: 1 works · 3.1% of their workEverything else: 8 works · 29.6% of their workLife Sciences: 2 works · 6.3% of their workNeuroscience: 2 works · 6.3% of their workCognitive Neuroscience: 2 works · 6.3% of their workHealth Sciences: 1 works · 4.7% of their workMedicine: 1 works · 4.7% of their workOphthalmology: 1 works · 4.7% of their workTHEIR WORKDc Burr27works
Life Sciences6%Physical Sciences59%Health 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 Science1556.3%
    2. Mathematics13.1%
  2. Everything else829.6%
    1. Neuroscience26.3%
    1. Medicine14.7%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Signal Processing17% of their works
  3. 3Artificial Intelligence17% of their works
  4. 4Cognitive Neuroscience6% of their works
  5. 5Ophthalmology5% of their works
  6. 6Applied Mathematics3% of their works

Research topics

Which keywords describe Dc Burr's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Neural Networks, Audio Signal Classification, Music Information Retrieval, Backpropagation Learning, Self-Organizing Maps and Acoustic Modeling.

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 Learning153 topics
  2. Convolutional Neural Networks112 topics
  3. Neural Networks82 topics
  4. Audio Signal Classification71 topic
  5. Music Information Retrieval71 topic
  6. Backpropagation Learning51 topic
  7. Self-Organizing Maps51 topic
  8. Acoustic Modeling41 topic
  9. Deep Neural Networks41 topic
  10. Neural Processing41 topic
  11. Visual Perception41 topic
  12. Audio-Visual Speech Recognition31 topic
  13. Speech Enhancement31 topic
  14. Depth Estimation21 topic
  15. Fragmented Objects21 topic
  16. Interactive Evolutionary Computation21 topic
  17. Music Generation21 topic
  18. Reconstruction21 topic
  19. Stereo Vision21 topic

Where does Dc Burr work?

Dc Burr's main affiliation in the publication record is Core Competence, United States.

How many publications and citations does Dc Burr have?

OpenAlex counts 27 works and 724 citations for Dc Burr, an h-index of 8, ranking #2,800,965 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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