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Researcher · Mila - Quebec Artificial Intelligence Institute · Canada

Cem Subakan

Cem Subakan publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Music and Audio Processing and Speech and Audio Processing.

ORCID 0000-0002-7593-6589 OpenAlex
World rank
#1,390,264
of 7,710,434 ranked researchers
Rank in Canada
#46,863
of 183,316
Works
97
Citations
1.5k
Citations per work
15.8
h-index
12
i10-index 15Top 32% in Artificial Intelligence
Cem Subakan

What does Cem Subakan research?

Cem Subakan's work is mostly in Computer Science (82%), Neuroscience (2%), Psychology (2%).

Physical Sciences: 79 works · 81.6% of their workComputer Science: 79 works · 81.6% of their workArtificial Intelligence: 36 works · 36.6% of their workSignal Processing: 32 works · 33.2% of their workComputer Vision and Pattern Recognition: 11 works · 11.8% of their workEverything else: 12 works · 11.9% of their workLife Sciences: 2 works · 2.3% of their workNeuroscience: 2 works · 2.3% of their workCognitive Neuroscience: 2 works · 2.3% of their workSocial Sciences: 2 works · 2.3% of their workPsychology: 2 works · 2.3% of their workExperimental and Cognitive Psychology: 2 works · 2.3% of their workHealth Sciences: 2 works · 1.9% of their workHealth Professions: 2 works · 1.9% of their workPharmacy: 2 works · 1.9% of their workTHEIR WORKCem Subakan97works
Life Sciences2%Physical Sciences82%Health Sciences2%Social Sciences2%

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 Science7981.6%
  2. Everything else1211.9%
    1. Neuroscience22.3%
    1. Psychology22.3%
    1. Health Professions21.9%
  1. 1Artificial Intelligence37% of their works
  2. 2Signal Processing33% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Cognitive Neuroscience2% of their works
  5. 5Experimental and Cognitive Psychology2% of their works
  6. 6Pharmacy2% of their works

Research topics

Which keywords describe Cem Subakan's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Neural Networks, Acoustic Modeling, Deep Neural Networks, Audio Signal Classification, Music Information Retrieval and Audio-Visual Speech Recognition.

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 19 words, with their numbers
  1. Convolutional Neural Networks902 topics
  2. Deep Learning893 topics
  3. Neural Networks543 topics
  4. Acoustic Modeling471 topic
  5. Deep Neural Networks471 topic
  6. Audio Signal Classification431 topic
  7. Music Information Retrieval431 topic
  8. Audio-Visual Speech Recognition391 topic
  9. Speech Enhancement391 topic
  10. Domain Adaptation91 topic
  11. Transfer Learning91 topic
  12. Machine Translation81 topic
  13. Word Representation81 topic
  14. Image Captioning71 topic
  15. Interactive Evolutionary Computation71 topic
  16. Music Generation71 topic
  17. Neural Machine Translation71 topic
  18. Statistical Machine Translation71 topic
  19. Visual Question Answering71 topic

Where does Cem Subakan work?

Cem Subakan's main affiliation in the publication record is Mila - Quebec Artificial Intelligence Institute, Canada.

How many publications and citations does Cem Subakan have?

OpenAlex counts 97 works and 1,532 citations for Cem Subakan, an h-index of 12, ranking #1,390,264 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.

Discussion

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