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György Fazekas

György Fazekas publishes mostly in Signal Processing, Computer Vision and Pattern Recognition and Mechanical Engineering, on topics such as Music and Audio Processing, Music Technology and Sound Studies and Neuroscience and Music Perception.

World rank
#45,818
of 1,633,909 ranked researchers
Rank in United Kingdom
#4,349
of 90,785
Works
55
Citations
256
Citations per work
4.7

What does György Fazekas research?

Signal Processing: 32.7%Computer Vision and Pattern Recognition: 26.9%Mechanical Engineering: 7.7%Cognitive Neuroscience: 7.7%other fields: 25.0%33%top field
Signal Processing32.7%Computer Vision and Pattern Recognition26.9%Mechanical Engineering7.7%Cognitive Neuroscience7.7%other fields25.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Signal Processing33% of their works
  2. 2Computer Vision and Pattern Recognition27% of their works
  3. 3Mechanical Engineering8% of their works
  4. 4Cognitive Neuroscience8% of their works
  5. 5Music6% of their works
  6. 6Radiology, Nuclear Medicine and Imaging2% of their works

Research topics

Which keywords describe György Fazekas's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Audio Signal Classification, Music Information Retrieval, Interactive Evolutionary Computation, Music Generation, Auditory Cortex and Temporal Processing.

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. Deep Learning172 topics
  2. Convolutional Neural Networks152 topics
  3. Audio Signal Classification141 topic
  4. Music Information Retrieval141 topic
  5. Interactive Evolutionary Computation131 topic
  6. Music Generation131 topic
  7. Auditory Cortex41 topic
  8. Temporal Processing41 topic
  9. Audio-Visual Speech Recognition31 topic
  10. Ecomusicology31 topic
  11. Ethnomusicology31 topic
  12. Speech Enhancement31 topic
  13. Compaction21 topic
  14. Powder Metallurgy21 topic
  15. Acoustic Modeling11 topic
  16. Deep Neural Networks11 topic
  17. Peer-to-Peer11 topic
  18. Scalable11 topic

Where does György Fazekas work?

György Fazekas's main affiliation in the publication record is Queen Mary University of London, United Kingdom.

How many publications and citations does György Fazekas have?

Science Explorer counts 55 works and 256 citations for György Fazekas, ranking #45,818 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.