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Researcher · Panasonic (United States) · United States

J.-C. Junqua

J.-C. Junqua 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.

OpenAlex
World rank
#2,714,111
of 7,710,434 ranked researchers
Rank in United States
#791,135
of 1,627,098
Works
35
Citations
1.2k
Citations per work
34.9
h-index
17
i10-index 18Top 18% in Artificial Intelligence
J.-C. Junqua

What does J.-C. Junqua research?

J.-C. Junqua's work is mostly in Computer Science (83%), Neuroscience (5%), Engineering (2%).

Physical Sciences: 30 works · 84.7% of their workComputer Science: 29 works · 82.7% of their workArtificial Intelligence: 14 works · 38.8% of their workSignal Processing: 14 works · 38.8% of their workComputer Vision and Pattern Recognition: 2 works · 5.1% of their workEngineering: 1 works · 2.0% of their workComputational Mechanics: 1 works · 2.0% of their workEverything else: 3 works · 8.2% of their workLife Sciences: 2 works · 5.1% of their workNeuroscience: 2 works · 5.1% of their workCognitive Neuroscience: 2 works · 5.1% of their workSocial Sciences: 1 works · 2.0% of their workArts and Humanities: 1 works · 2.0% of their workLanguage and Linguistics: 1 works · 2.0% of their workTHEIR WORKJ.-C. Junqua35works
Life Sciences5%Physical Sciences85%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 Science2982.7%
    2. Engineering12.0%
  2. Everything else38.2%
    1. Neuroscience25.1%
    1. Arts and Humanities12.0%
  1. 1Artificial Intelligence39% of their works
  2. 2Signal Processing39% of their works
  3. 3Computer Vision and Pattern Recognition5% of their works
  4. 4Cognitive Neuroscience5% of their works
  5. 5Language and Linguistics2% of their works
  6. 6Computational Mechanics2% of their works

Research topics

Which keywords describe J.-C. Junqua's research?

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

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 18 words, with their numbers
  1. Deep Learning343 topics
  2. Convolutional Neural Networks332 topics
  3. Acoustic Modeling231 topic
  4. Deep Neural Networks231 topic
  5. Audio-Visual Speech Recognition221 topic
  6. Speech Enhancement221 topic
  7. Audio Signal Classification101 topic
  8. Music Information Retrieval101 topic
  9. Markov Decision Processes71 topic
  10. Spoken Dialogue Systems71 topic
  11. Cognitive Decline51 topic
  12. Hearing Loss51 topic
  13. Neural Machine Translation41 topic
  14. Statistical Machine Translation41 topic
  15. Clustering Algorithms21 topic
  16. JPEG200021 topic
  17. K-means21 topic
  18. Wavelet Compression21 topic

Where does J.-C. Junqua work?

J.-C. Junqua's main affiliation in the publication record is Panasonic (United States), United States.

How many publications and citations does J.-C. Junqua have?

OpenAlex counts 35 works and 1,220 citations for J.-C. Junqua, an h-index of 17, ranking #2,714,111 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.

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