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Researcher · Johns Hopkins University · United States

Daniel Povey

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

ORCID 0000-0002-0611-3634 OpenAlex
World rank
#25,444
of 7,710,434 ranked researchers
Rank in United States
#9,511
of 1,627,098
Works
245
Citations
32k
Citations per work
129.8
h-index
62
i10-index 146Top 0.5% in Artificial Intelligence
Daniel Povey

What does Daniel Povey research?

Daniel Povey's work is mostly in Computer Science (92%), Engineering (1%), Biochemistry, Genetics and Molecular Biology (1%).

Physical Sciences: 229 works · 93.5% of their workComputer Science: 226 works · 92.4% of their workArtificial Intelligence: 131 works · 53.4% of their workSignal Processing: 87 works · 35.7% of their workComputer Vision and Pattern Recognition: 8 works · 3.3% of their workEngineering: 3 works · 1.1% of their workControl and Systems Engineering: 3 works · 1.1% of their workEverything else: 12 works · 4.7% of their workLife Sciences: 2 works · 0.9% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 0.9% of their workMolecular Biology: 2 works · 0.9% of their workSocial Sciences: 2 works · 0.9% of their workPsychology: 2 works · 0.9% of their workExperimental and Cognitive Psychology: 2 works · 0.9% of their workTHEIR WORKDaniel Povey245works
Life Sciences1%Physical Sciences94%Social Sciences1%

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 Science22692.4%
    2. Engineering31.1%
  2. Everything else124.7%
    1. Biochemistry, Genetics and Molecular Biology20.9%
    1. Psychology20.9%
  1. 1Artificial Intelligence53% of their works
  2. 2Signal Processing36% of their works
  3. 3Computer Vision and Pattern Recognition3% of their works
  4. 4Control and Systems Engineering1% of their works
  5. 5Experimental and Cognitive Psychology1% of their works
  6. 6Molecular Biology1% of their works

Research topics

Which keywords describe Daniel Povey's research?

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

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. Convolutional Neural Networks3222 topics
  2. Deep Learning2573 topics
  3. Acoustic Modeling2171 topic
  4. Deep Neural Networks2171 topic
  5. Neural Networks1682 topics
  6. Audio-Visual Speech Recognition1401 topic
  7. Speech Enhancement1401 topic
  8. Audio Signal Classification1051 topic
  9. Music Information Retrieval1051 topic
  10. Neural Machine Translation721 topic
  11. Statistical Machine Translation721 topic
  12. Machine Translation281 topic
  13. Word Representation281 topic
  14. Markov Decision Processes251 topic
  15. Spoken Dialogue Systems251 topic
  16. JPEG2000121 topic
  17. Wavelet Compression121 topic
  18. Compression81 topic
  19. Suffix Arrays81 topic

Where does Daniel Povey work?

Daniel Povey's main affiliation in the publication record is Johns Hopkins University, United States.

How many publications and citations does Daniel Povey have?

OpenAlex counts 245 works and 31,801 citations for Daniel Povey, an h-index of 62, ranking #25,444 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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