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Researcher · Ministerio de Defensa · Spain

Elena Escolano Rodríguez

Elena Escolano Rodríguez publishes mostly in Information Systems, Artificial Intelligence and Molecular Biology, on topics such as Library Science and Information Systems, Semantic Web and Ontologies and Biomedical Text Mining and Ontologies.

OpenAlex
World rank
#6,630,675
of 7,710,434 ranked researchers
Rank in Spain
#164,328
of 204,306
Works
15
Citations
40
Citations per work
2.7
h-index
3
i10-index 1Top 83% in Information Systems
Elena Escolano Rodríguez

What does Elena Escolano Rodríguez research?

Elena Escolano Rodríguez's work is mostly in Computer Science (72%), Biochemistry, Genetics and Molecular Biology (7%), Business, Management and Accounting (7%).

Physical Sciences: 11 works · 72.4% of their workComputer Science: 11 works · 72.4% of their workInformation Systems: 8 works · 51.7% of their workArtificial Intelligence: 3 works · 20.7% of their workSocial Sciences: 2 works · 13.7% of their workBusiness, Management and Accounting: 1 works · 6.9% of their workAccounting: 1 works · 6.9% of their workArts and Humanities: 1 works · 3.4% of their workHistory: 1 works · 3.4% of their workSocial Sciences: 1 works · 3.4% of their workPolitical Science and International Relations: 1 works · 3.4% of their workEverything else: 1 works · 7.0% of their workLife Sciences: 1 works · 6.9% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 6.9% of their workMolecular Biology: 1 works · 6.9% of their workTHEIR WORKElena EscolanoRodríguez15works
Life Sciences7%Physical Sciences72%Social Sciences14%

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 Science1172.4%
    1. Business, Management and Accounting16.9%
    2. Arts and Humanities13.4%
    3. Social Sciences13.4%
  3. Everything else17.0%
    1. Biochemistry, Genetics and Molecular Biology16.9%
  1. 1Information Systems52% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Molecular Biology7% of their works
  4. 4Accounting7% of their works
  5. 5History3% of their works
  6. 6Political Science and International Relations3% of their works

Research topics

Which keywords describe Elena Escolano Rodríguez's research?

The keywords of their largest research topics: Semantic Web, Linked Data, Bibliographic Framework, Resource Description and Access, Data Integration, Knowledge Representation, Ontology and RDF.

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 21 words, with their numbers
  1. Semantic Web203 topics
  2. Linked Data182 topics
  3. Bibliographic Framework131 topic
  4. Resource Description and Access131 topic
  5. Data Integration72 topics
  6. Knowledge Representation62 topics
  7. Ontology51 topic
  8. RDF51 topic
  9. Biomedical Ontologies21 topic
  10. Corpus Linguistics22 topics
  11. DRM21 topic
  12. Interoperable21 topic
  13. Text Mining21 topic
  14. Book History11 topic
  15. EU Law11 topic
  16. Neural Machine Translation11 topic
  17. Publishing Industry11 topic
  18. Specialized Language11 topic
  19. Statistical Machine Translation11 topic
  20. Tax Avoidance11 topic
  21. Terminology11 topic

Where does Elena Escolano Rodríguez work?

Elena Escolano Rodríguez's main affiliation in the publication record is Ministerio de Defensa, Spain.

How many publications and citations does Elena Escolano Rodríguez have?

OpenAlex counts 15 works and 40 citations for Elena Escolano Rodríguez, an h-index of 3, ranking #6,630,675 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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