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Researcher · University of Edinburgh · United Kingdom

Víctor Suárez-Paniagua

Víctor Suárez-Paniagua publishes mostly in Artificial Intelligence, Molecular Biology and Health Informatics, on topics such as Topic Modeling, Natural Language Processing Techniques and Biomedical Text Mining and Ontologies.

ORCID 0000-0002-6036-5322 OpenAlex
World rank
#2,296,439
of 7,710,434 ranked researchers
Rank in United Kingdom
#164,758
of 367,258
Works
28
Citations
575
Citations per work
20.5
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Víctor Suárez-Paniagua

What does Víctor Suárez-Paniagua research?

Víctor Suárez-Paniagua's work is mostly in Computer Science (57%), Biochemistry, Genetics and Molecular Biology (17%), Medicine (7%).

Physical Sciences: 16 works · 56.6% of their workComputer Science: 16 works · 56.6% of their workArtificial Intelligence: 16 works · 56.6% of their workEverything else: 5 works · 16.9% of their workLife Sciences: 5 works · 16.9% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 16.9% of their workMolecular Biology: 4 works · 14.5% of their workGenetics: 1 works · 2.4% of their workHealth Sciences: 2 works · 7.2% of their workMedicine: 2 works · 7.2% of their workHealth Informatics: 1 works · 3.6% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.6% of their workSocial Sciences: 1 works · 2.4% of their workDecision Sciences: 1 works · 2.4% of their workManagement Science and Operations Research: 1 works · 2.4% of their workTHEIR WORKVíctorSuárez-Paniagua28works
Life Sciences17%Physical Sciences57%Health Sciences7%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 Science1656.6%
  2. Everything else516.9%
    1. Biochemistry, Genetics and Molecular Biology516.9%
    1. Medicine27.2%
    1. Decision Sciences12.4%
  1. 1Artificial Intelligence57% of their works
  2. 2Molecular Biology14% of their works
  3. 3Health Informatics4% of their works
  4. 4Radiology, Nuclear Medicine and Imaging4% of their works
  5. 5Genetics2% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Víctor Suárez-Paniagua's research?

The keywords of their largest research topics: Neural Networks, Text Classification, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Biomedical Ontologies and Text Mining.

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 20 words, with their numbers
  1. Neural Networks222 topics
  2. Text Classification222 topics
  3. Machine Translation201 topic
  4. Word Representation201 topic
  5. Neural Machine Translation131 topic
  6. Statistical Machine Translation131 topic
  7. Biomedical Ontologies121 topic
  8. Text Mining121 topic
  9. Healthcare82 topics
  10. Precision Medicine82 topics
  11. Deep Learning51 topic
  12. Electronic Health Records51 topic
  13. Artificial Intelligence31 topic
  14. Machine Learning31 topic
  15. Automatic21 topic
  16. Extraction21 topic
  17. Feature Selection21 topic
  18. Genetic Variants21 topic
  19. Multi-label Learning21 topic
  20. Sequence Interpretation21 topic

Where does Víctor Suárez-Paniagua work?

Víctor Suárez-Paniagua's main affiliation in the publication record is University of Edinburgh, United Kingdom.

How many publications and citations does Víctor Suárez-Paniagua have?

OpenAlex counts 28 works and 575 citations for Víctor Suárez-Paniagua, an h-index of 9, ranking #2,296,439 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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