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Researcher · Universitat Pompeu Fabra · Spain

Emília Gómez

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

ORCID 0000-0003-4983-3989 OpenAlex
World rank
#355,613
of 7,710,434 ranked researchers
Rank in Spain
#6,159
of 204,306
Works
361
Citations
6.9k
Citations per work
19.0
h-index
39
i10-index 121Top 1.9% in Signal Processing
Emília Gómez

What does Emília Gómez research?

Emília Gómez's work is mostly in Computer Science (62%), Neuroscience (7%), Arts and Humanities (5%).

Physical Sciences: 224 works · 62.0% of their workComputer Science: 224 works · 62.0% of their workSignal Processing: 122 works · 33.9% of their workComputer Vision and Pattern Recognition: 72 works · 19.9% of their workArtificial Intelligence: 30 works · 8.2% of their workEverything else: 81 works · 22.4% of their workSocial Sciences: 32 works · 9.0% of their workArts and Humanities: 19 works · 5.4% of their workMusic: 19 works · 5.4% of their workSocial Sciences: 13 works · 3.6% of their workSafety Research: 13 works · 3.6% of their workLife Sciences: 24 works · 6.6% of their workNeuroscience: 24 works · 6.6% of their workCognitive Neuroscience: 24 works · 6.6% of their workTHEIR WORKEmília Gómez361works
Life Sciences7%Physical Sciences62%Social Sciences9%

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 Science22462.0%
  2. Everything else8122.4%
    1. Arts and Humanities195.4%
    2. Social Sciences133.6%
    1. Neuroscience246.6%
  1. 1Signal Processing34% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Cognitive Neuroscience7% of their works
  5. 5Music5% of their works
  6. 6Safety Research4% of their works

Research topics

Which keywords describe Emília Gómez's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Audio Signal Classification, Music Information Retrieval, Artificial Intelligence, Machine Learning, Interactive Evolutionary Computation and Music Generation.

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 Learning2702 topics
  2. Convolutional Neural Networks2072 topics
  3. Audio Signal Classification1841 topic
  4. Music Information Retrieval1841 topic
  5. Artificial Intelligence1612 topics
  6. Machine Learning1612 topics
  7. Interactive Evolutionary Computation1321 topic
  8. Music Generation1321 topic
  9. Audio-Visual Speech Recognition861 topic
  10. Speech Enhancement861 topic
  11. Auditory Cortex461 topic
  12. Temporal Processing461 topic
  13. Ethics291 topic
  14. Fairness291 topic
  15. Ecomusicology281 topic
  16. Ethnomusicology281 topic
  17. Acoustic Modeling231 topic
  18. Deep Neural Networks231 topic
  19. Human-Robot Interaction111 topic
  20. Socially Assistive Robotics111 topic

Where does Emília Gómez work?

Emília Gómez's main affiliation in the publication record is Universitat Pompeu Fabra, Spain.

How many publications and citations does Emília Gómez have?

OpenAlex counts 361 works and 6,873 citations for Emília Gómez, an h-index of 39, ranking #355,613 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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