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Researcher · Pontifícia Universidade Católica do Paraná · Brazil

Lucas Emanuel Silva e Oliveira

Lucas Emanuel Silva e Oliveira publishes mostly in Artificial Intelligence, Molecular Biology and Health Information Management, on topics such as Topic Modeling, Biomedical Text Mining and Ontologies and Natural Language Processing Techniques.

ORCID 0000-0003-1811-5087 OpenAlex
World rank
#4,859,389
of 7,710,434 ranked researchers
Rank in Brazil
#87,612
of 253,246
Works
30
Citations
297
Citations per work
9.9
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Lucas Emanuel Silva e Oliveira

What does Lucas Emanuel Silva e Oliveira research?

Lucas Emanuel Silva e Oliveira's work is mostly in Computer Science (59%), Biochemistry, Genetics and Molecular Biology (21%), Health Professions (10%).

Physical Sciences: 18 works · 59.5% of their workComputer Science: 18 works · 59.5% of their workArtificial Intelligence: 18 works · 59.5% of their workLife Sciences: 6 works · 21.4% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 21.4% of their workMolecular Biology: 6 works · 21.4% of their workHealth Sciences: 4 works · 11.9% of their workHealth Professions: 3 works · 9.5% of their workHealth Information Management: 2 works · 8.3% of their workGeneral Health Professions: 0 works · 1.2% of their workNursing: 1 works · 2.4% of their workIssues, ethics and legal aspects: 1 works · 2.4% of their workEverything else: 1 works · 4.8% 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 WORKLucas EmanuelSilva e Oliveira30works
Life Sciences21%Physical Sciences59%Health Sciences12%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 Science1859.5%
    1. Biochemistry, Genetics and Molecular Biology621.4%
    1. Health Professions39.5%
    2. Nursing12.4%
  4. Everything else14.8%
    1. Decision Sciences12.4%
  1. 1Artificial Intelligence60% of their works
  2. 2Molecular Biology21% of their works
  3. 3Health Information Management8% of their works
  4. 4Issues, ethics and legal aspects2% of their works
  5. 5Management Science and Operations Research2% of their works
  6. 6General Health Professions1% of their works

Research topics

Which keywords describe Lucas Emanuel Silva e Oliveira's research?

The keywords of their largest research topics: Neural Networks, Natural Language Processing, Data Integration, Machine Translation, Semantic Web, Word Representation, Biomedical Ontologies and Neural Machine Translation.

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 21 words, with their numbers
  1. Neural Networks252 topics
  2. Natural Language Processing232 topics
  3. Data Integration202 topics
  4. Machine Translation201 topic
  5. Semantic Web202 topics
  6. Word Representation201 topic
  7. Biomedical Ontologies181 topic
  8. Neural Machine Translation181 topic
  9. Statistical Machine Translation181 topic
  10. Text Mining181 topic
  11. Electronic Health Records103 topics
  12. Readability Assessment51 topic
  13. Text Simplification51 topic
  14. Clinical Decision Support Systems41 topic
  15. Deep Learning41 topic
  16. Health Information Exchange41 topic
  17. Healthcare41 topic
  18. Linked Data21 topic
  19. Nursing Diagnoses21 topic
  20. Nursing Documentation21 topic
  21. Ontology21 topic

Where does Lucas Emanuel Silva e Oliveira work?

Lucas Emanuel Silva e Oliveira's main affiliation in the publication record is Pontifícia Universidade Católica do Paraná, Brazil.

How many publications and citations does Lucas Emanuel Silva e Oliveira have?

OpenAlex counts 30 works and 297 citations for Lucas Emanuel Silva e Oliveira, an h-index of 7, ranking #4,859,389 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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