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Researcher · Telefonica Research and Development · Spain

Xavier Anguera

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

ORCID 0000-0001-8659-3991 OpenAlex
World rank
#597,075
of 7,710,434 ranked researchers
Rank in Spain
#11,137
of 204,306
Works
118
Citations
3.4k
Citations per work
28.5
h-index
30
i10-index 60Top 4.1% in Signal Processing
Xavier Anguera

What does Xavier Anguera research?

Xavier Anguera's work is mostly in Computer Science (89%), Health Professions (3%), Arts and Humanities (2%).

Physical Sciences: 105 works · 89.0% of their workComputer Science: 105 works · 89.0% of their workSignal Processing: 47 works · 39.8% of their workArtificial Intelligence: 40 works · 33.5% of their workComputer Vision and Pattern Recognition: 16 works · 13.6% of their workInformation Systems: 2 works · 2.1% of their workEverything else: 8 works · 6.5% of their workHealth Sciences: 4 works · 3.0% of their workHealth Professions: 4 works · 3.0% of their workGeneral Health Professions: 4 works · 3.0% of their workSocial Sciences: 2 works · 1.5% of their workArts and Humanities: 2 works · 1.5% of their workPhilosophy: 2 works · 1.5% of their workTHEIR WORKXavier Anguera118works
Physical Sciences89%Health Sciences3%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 Science10589.0%
  2. Everything else86.5%
    1. Health Professions43.0%
    1. Arts and Humanities21.5%
  1. 1Signal Processing40% of their works
  2. 2Artificial Intelligence34% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4General Health Professions3% of their works
  5. 5Information Systems2% of their works
  6. 6Philosophy2% of their works

Research topics

Which keywords describe Xavier Anguera's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Feature Extraction, Audio Signal Classification, Music Information Retrieval, Acoustic Modeling, Deep 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 Learning1444 topics
  2. Convolutional Neural Networks1392 topics
  3. Feature Extraction812 topics
  4. Audio Signal Classification721 topic
  5. Music Information Retrieval721 topic
  6. Acoustic Modeling671 topic
  7. Deep Neural Networks671 topic
  8. Audio-Visual Speech Recognition531 topic
  9. Speech Enhancement531 topic
  10. Content-Based Retrieval191 topic
  11. Video Summarization191 topic
  12. Markov Decision Processes161 topic
  13. Spoken Dialogue Systems161 topic
  14. Neural Machine Translation151 topic
  15. Statistical Machine Translation151 topic
  16. Feature Matching101 topic
  17. Local Descriptors101 topic
  18. Clustering91 topic
  19. Time Series91 topic

Where does Xavier Anguera work?

Xavier Anguera's main affiliation in the publication record is Telefonica Research and Development, Spain.

How many publications and citations does Xavier Anguera have?

OpenAlex counts 118 works and 3,367 citations for Xavier Anguera, an h-index of 30, ranking #597,075 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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