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Researcher · Universidad Complutense de Madrid · Spain

Antonio Vaquero

Antonio Vaquero publishes mostly in Artificial Intelligence, Neurology and Molecular Biology, on topics such as Semantic Web and Ontologies, Natural Language Processing Techniques and Biomedical Text Mining and Ontologies.

OpenAlex
World rank
#6,948,450
of 7,710,434 ranked researchers
Rank in Spain
#175,259
of 204,306
Works
22
Citations
178
Citations per work
8.1
h-index
5
i10-index 4Top 82% in Artificial Intelligence
Antonio Vaquero

What does Antonio Vaquero research?

Antonio Vaquero's work is mostly in Computer Science (40%), Medicine (12%), Biochemistry, Genetics and Molecular Biology (10%).

Physical Sciences: 9 works · 39.6% of their workComputer Science: 9 works · 39.6% of their workArtificial Intelligence: 7 works · 31.0% of their workInformation Systems: 2 works · 8.6% of their workEverything else: 6 works · 29.4% of their workLife Sciences: 3 works · 15.5% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 10.3% of their workMolecular Biology: 2 works · 10.3% of their workNeuroscience: 1 works · 5.2% of their workCellular and Molecular Neuroscience: 1 works · 5.2% of their workHealth Sciences: 3 works · 12.1% of their workMedicine: 3 works · 12.1% of their workNeurology: 3 works · 12.1% of their workSocial Sciences: 1 works · 3.4% of their workArts and Humanities: 1 works · 3.4% of their workLanguage and Linguistics: 1 works · 3.4% of their workTHEIR WORKAntonio Vaquero22works
Life Sciences16%Physical Sciences40%Health Sciences12%Social Sciences3%

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 Science939.6%
  2. Everything else629.4%
    1. Biochemistry, Genetics and Molecular Biology210.3%
    2. Neuroscience15.2%
    1. Medicine312.1%
    1. Arts and Humanities13.4%
  1. 1Artificial Intelligence31% of their works
  2. 2Neurology12% of their works
  3. 3Molecular Biology10% of their works
  4. 4Information Systems9% of their works
  5. 5Cellular and Molecular Neuroscience5% of their works
  6. 6Language and Linguistics3% of their works

Research topics

Which keywords describe Antonio Vaquero's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Linked Data, Ontology, Neural Machine Translation, Statistical Machine Translation, Biomedical Ontologies and Parkinson's Disease.

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. Data Integration152 topics
  2. Semantic Web152 topics
  3. Linked Data101 topic
  4. Ontology101 topic
  5. Neural Machine Translation71 topic
  6. Statistical Machine Translation71 topic
  7. Biomedical Ontologies51 topic
  8. Parkinson's Disease52 topics
  9. QoS-Aware Middleware51 topic
  10. Semantic Web Services51 topic
  11. Text Mining51 topic
  12. Neurodegeneration31 topic
  13. a-Synuclein31 topic
  14. Continuous Queries21 topic
  15. Data Stream Management21 topic
  16. Deep Brain Stimulation21 topic
  17. Subthalamic Nucleus21 topic
  18. Clenbuterol11 topic
  19. Ractopamine11 topic

Where does Antonio Vaquero work?

Antonio Vaquero's main affiliation in the publication record is Universidad Complutense de Madrid, Spain.

How many publications and citations does Antonio Vaquero have?

OpenAlex counts 22 works and 178 citations for Antonio Vaquero, an h-index of 5, ranking #6,948,450 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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