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Researcher · Vicomtech · Spain

Nekane Larburu

Nekane Larburu publishes mostly in Health Information Management, Artificial Intelligence and Molecular Biology, on topics such as Biomedical Text Mining and Ontologies, Clinical practice guidelines implementation and Electronic Health Records Systems.

ORCID 0000-0003-0248-7783 OpenAlex
World rank
#3,567,511
of 7,710,434 ranked researchers
Rank in Spain
#80,731
of 204,306
Works
52
Citations
504
Citations per work
9.7
h-index
13
i10-index 15Top 20% in Health Information Management
Nekane Larburu

What does Nekane Larburu research?

Nekane Larburu's work is mostly in Health Professions (22%), Medicine (19%), Computer Science (14%).

Health Sciences: 21 works · 41.1% of their workHealth Professions: 11 works · 21.7% of their workHealth Information Management: 8 works · 16.1% of their workGeneral Health Professions: 3 works · 5.6% of their workMedicine: 10 works · 19.4% of their workPublic Health, Environmental and Occupational Health: 5 works · 10.5% of their workCardiology and Cardiovascular Medicine: 5 works · 8.9% of their workEverything else: 17 works · 32.3% of their workPhysical Sciences: 8 works · 14.5% of their workComputer Science: 8 works · 14.5% of their workArtificial Intelligence: 8 works · 14.5% of their workLife Sciences: 6 works · 12.1% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 12.1% of their workMolecular Biology: 6 works · 12.1% of their workTHEIR WORKNekane Larburu52works
Life Sciences12%Physical Sciences14%Health Sciences41%

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. Health Professions1121.7%
    2. Medicine1019.4%
  2. Everything else1732.3%
    1. Computer Science814.5%
    1. Biochemistry, Genetics and Molecular Biology612.1%
  1. 1Health Information Management16% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Molecular Biology12% of their works
  4. 4Public Health, Environmental and Occupational Health10% of their works
  5. 5Cardiology and Cardiovascular Medicine9% of their works
  6. 6General Health Professions6% of their works

Research topics

Which keywords describe Nekane Larburu's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Electronic Health Records, Healthcare, Biomedical Ontologies, Machine Learning, Text Mining and Clinical Guidelines.

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 22 words, with their numbers
  1. Data Integration192 topics
  2. Semantic Web192 topics
  3. Electronic Health Records162 topics
  4. Healthcare162 topics
  5. Biomedical Ontologies131 topic
  6. Machine Learning132 topics
  7. Text Mining131 topic
  8. Clinical Guidelines121 topic
  9. Guideline Development121 topic
  10. Big Data Analytics101 topic
  11. Clinical Decision Support Systems101 topic
  12. Health Information Exchange101 topic
  13. Medical Diagnosis101 topic
  14. Deep Learning92 topics
  15. Linked Data61 topic
  16. Mobile Health61 topic
  17. Ontology61 topic
  18. Patient Similarity61 topic
  19. Predictive Modeling61 topic
  20. mHealth61 topic
  21. Histopathology Images31 topic
  22. Medical Image Analysis31 topic

Where does Nekane Larburu work?

Nekane Larburu's main affiliation in the publication record is Vicomtech, Spain.

How many publications and citations does Nekane Larburu have?

OpenAlex counts 52 works and 504 citations for Nekane Larburu, an h-index of 13, ranking #3,567,511 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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