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Researcher · Amazon (United States) · United States

Martin Radfar

Martin Radfar publishes mostly in Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Music and Audio Processing.

OpenAlex
World rank
#2,706,398
of 7,710,434 ranked researchers
Rank in United States
#789,286
of 1,627,098
Works
37
Citations
310
Citations per work
8.4
h-index
8
i10-index 6Top 56% in Artificial Intelligence
Martin Radfar

What does Martin Radfar research?

Martin Radfar's work is mostly in Computer Science (88%), Psychology (4%), Engineering (2%).

Physical Sciences: 33 works · 89.8% of their workComputer Science: 33 works · 88.0% of their workArtificial Intelligence: 18 works · 47.7% of their workSignal Processing: 14 works · 36.7% of their workComputer Vision and Pattern Recognition: 1 works · 1.8% of their workInformation Systems: 1 works · 1.8% of their workEngineering: 1 works · 1.8% of their workBiomedical Engineering: 1 works · 1.8% of their workEverything else: 2 works · 6.5% of their workSocial Sciences: 1 works · 3.7% of their workPsychology: 1 works · 3.7% of their workExperimental and Cognitive Psychology: 1 works · 3.7% of their workTHEIR WORKMartin Radfar37works
Physical Sciences90%Social Sciences4%

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 Science3388.0%
    2. Engineering11.8%
  2. Everything else26.5%
    1. Psychology13.7%
  1. 1Artificial Intelligence48% of their works
  2. 2Signal Processing37% of their works
  3. 3Experimental and Cognitive Psychology4% of their works
  4. 4Information Systems2% of their works
  5. 5Biomedical Engineering2% of their works
  6. 6Computer Vision and Pattern Recognition2% of their works

Research topics

Which keywords describe Martin Radfar's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Neural Networks, Acoustic Modeling, Deep Neural Networks, Audio-Visual Speech Recognition, Feature Extraction and Speech Enhancement.

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 20 words, with their numbers
  1. Deep Learning444 topics
  2. Convolutional Neural Networks432 topics
  3. Neural Networks343 topics
  4. Acoustic Modeling261 topic
  5. Deep Neural Networks261 topic
  6. Audio-Visual Speech Recognition211 topic
  7. Feature Extraction212 topics
  8. Speech Enhancement211 topic
  9. Audio Signal Classification171 topic
  10. Music Information Retrieval171 topic
  11. Machine Translation111 topic
  12. Word Representation111 topic
  13. Markov Decision Processes61 topic
  14. Neural Machine Translation61 topic
  15. Spoken Dialogue Systems61 topic
  16. Statistical Machine Translation61 topic
  17. Emotion Recognition41 topic
  18. Multimodal Data41 topic
  19. Backpropagation Learning21 topic
  20. Self-Organizing Maps21 topic

Where does Martin Radfar work?

Martin Radfar's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Martin Radfar have?

OpenAlex counts 37 works and 310 citations for Martin Radfar, an h-index of 8, ranking #2,706,398 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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