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Researcher · New York University · United States

Justin Salamon

Justin Salamon publishes mostly in Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Music and Audio Processing, Speech and Audio Processing and Music Technology and Sound Studies.

ORCID 0000-0001-6345-4593 OpenAlex
World rank
#62,571
of 7,710,434 ranked researchers
Rank in United States
#24,082
of 1,627,098
Works
233
Citations
7k
Citations per work
30.3
h-index
37
i10-index 71Top 2.2% in Signal Processing
Justin Salamon

What does Justin Salamon research?

Justin Salamon's work is mostly in Computer Science (81%), Neuroscience (6%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 194 works · 83.1% of their workComputer Science: 189 works · 81.3% of their workSignal Processing: 119 works · 51.2% of their workComputer Vision and Pattern Recognition: 52 works · 22.3% of their workArtificial Intelligence: 18 works · 7.8% of their workEnvironmental Science: 4 works · 1.8% of their workEcology: 4 works · 1.8% of their workLife Sciences: 22 works · 9.6% of their workNeuroscience: 14 works · 6.0% of their workCognitive Neuroscience: 14 works · 6.0% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 3.6% of their workDevelopmental Biology: 8 works · 3.6% of their workEverything else: 17 works · 7.3% of their workTHEIR WORKJustin Salamon233works
Life Sciences10%Physical Sciences83%

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 Science18981.3%
    2. Environmental Science41.8%
    1. Neuroscience146.0%
    2. Biochemistry, Genetics and Molecular Biology83.6%
  3. Everything else177.3%
  1. 1Signal Processing51% of their works
  2. 2Computer Vision and Pattern Recognition22% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Cognitive Neuroscience6% of their works
  5. 5Developmental Biology4% of their works
  6. 6Ecology2% of their works

Research topics

Which keywords describe Justin Salamon's research?

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

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. Deep Learning1983 topics
  2. Convolutional Neural Networks1362 topics
  3. Audio Signal Classification1151 topic
  4. Music Information Retrieval1151 topic
  5. Neural Networks832 topics
  6. Audio-Visual Speech Recognition761 topic
  7. Speech Enhancement761 topic
  8. Interactive Evolutionary Computation641 topic
  9. Music Generation641 topic
  10. Acoustic Modeling211 topic
  11. Deep Neural Networks211 topic
  12. Avian Vocal Communication141 topic
  13. Birdsong141 topic
  14. Cognitive Decline131 topic
  15. Hearing Loss131 topic
  16. Auditory Cortex91 topic
  17. Temporal Processing91 topic
  18. Generative Adversarial Networks71 topic
  19. Image Synthesis71 topic

Where does Justin Salamon work?

Justin Salamon's main affiliation in the publication record is New York University, United States.

How many publications and citations does Justin Salamon have?

OpenAlex counts 233 works and 7,050 citations for Justin Salamon, an h-index of 37, ranking #62,571 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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