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Researcher · Universidad de la República de Uruguay · Uruguay

Martín Rocamora

Martín Rocamora publishes mostly in Signal Processing, Computer Vision and Pattern Recognition and Music, on topics such as Music and Audio Processing, Music Technology and Sound Studies and Speech and Audio Processing.

ORCID 0000-0003-3183-9717 OpenAlex
World rank
#2,546,610
of 7,710,434 ranked researchers
Rank in Uruguay
#478
of 3,394
Works
72
Citations
552
Citations per work
7.7
h-index
12
i10-index 14Top 32% in Signal Processing
Martín Rocamora

What does Martín Rocamora research?

Martín Rocamora's work is mostly in Computer Science (73%), Neuroscience (7%), Arts and Humanities (7%).

Physical Sciences: 53 works · 73.3% of their workComputer Science: 53 works · 73.3% of their workSignal Processing: 30 works · 41.4% of their workComputer Vision and Pattern Recognition: 20 works · 27.2% of their workArtificial Intelligence: 3 works · 4.7% of their workLife Sciences: 8 works · 11.8% of their workNeuroscience: 5 works · 7.1% of their workCognitive Neuroscience: 5 works · 7.1% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 4.7% of their workDevelopmental Biology: 3 works · 4.7% of their workEverything else: 6 works · 7.8% of their workSocial Sciences: 5 works · 7.1% of their workArts and Humanities: 5 works · 7.1% of their workMusic: 5 works · 7.1% of their workTHEIR WORKMartín Rocamora72works
Life Sciences12%Physical Sciences73%Social Sciences7%

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 Science5373.3%
    1. Neuroscience57.1%
    2. Biochemistry, Genetics and Molecular Biology34.7%
  3. Everything else67.8%
    1. Arts and Humanities57.1%
  1. 1Signal Processing41% of their works
  2. 2Computer Vision and Pattern Recognition27% of their works
  3. 3Music7% of their works
  4. 4Cognitive Neuroscience7% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Developmental Biology5% of their works

Research topics

Which keywords describe Martín Rocamora's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Audio Signal Classification, Music Information Retrieval, Interactive Evolutionary Computation, Music Generation, Neural Networks 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. Deep Learning773 topics
  2. Convolutional Neural Networks562 topics
  3. Audio Signal Classification511 topic
  4. Music Information Retrieval511 topic
  5. Interactive Evolutionary Computation361 topic
  6. Music Generation361 topic
  7. Neural Networks262 topics
  8. Audio-Visual Speech Recognition181 topic
  9. Speech Enhancement181 topic
  10. Auditory Cortex111 topic
  11. Temporal Processing111 topic
  12. Ecomusicology101 topic
  13. Ethnomusicology101 topic
  14. Avian Vocal Communication81 topic
  15. Birdsong81 topic
  16. Generative Adversarial Networks81 topic
  17. Image Synthesis81 topic
  18. Acoustic Modeling51 topic
  19. Deep Neural Networks51 topic

Where does Martín Rocamora work?

Martín Rocamora's main affiliation in the publication record is Universidad de la República de Uruguay, Uruguay.

How many publications and citations does Martín Rocamora have?

OpenAlex counts 72 works and 552 citations for Martín Rocamora, an h-index of 12, ranking #2,546,610 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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