Science Explorer Back to mapMap
Discussion
Researcher · Universidad Complutense de Madrid · Spain

Lara Quijano-Sánchez

Lara Quijano-Sánchez publishes mostly in Artificial Intelligence, Information Systems and Sociology and Political Science, on topics such as Recommender Systems and Techniques, Topic Modeling and Natural Language Processing Techniques.

ORCID 0000-0002-9389-2380 OpenAlex
World rank
#671,534
of 7,710,434 ranked researchers
Rank in Spain
#12,691
of 204,306
Works
44
Citations
1.1k
Citations per work
25.6
h-index
15
i10-index 19Top 22% in Artificial Intelligence
Lara Quijano-Sánchez

What does Lara Quijano-Sánchez research?

Lara Quijano-Sánchez's work is mostly in Computer Science (57%), Social Sciences (9%), Physics and Astronomy (6%).

Physical Sciences: 28 works · 62.8% of their workComputer Science: 25 works · 57.0% of their workArtificial Intelligence: 11 works · 25.6% of their workInformation Systems: 10 works · 22.3% of their workComputer Vision and Pattern Recognition: 2 works · 5.0% of their workComputer Networks and Communications: 2 works · 4.1% of their workPhysics and Astronomy: 3 works · 5.8% of their workStatistical and Nonlinear Physics: 3 works · 5.8% of their workEverything else: 12 works · 28.1% of their workSocial Sciences: 4 works · 9.1% of their workSocial Sciences: 4 works · 9.1% of their workSociology and Political Science: 4 works · 9.1% of their workTHEIR WORKLaraQuijano-Sánchez44works
Physical Sciences63%Social Sciences9%

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 Science2557.0%
    2. Physics and Astronomy35.8%
  2. Everything else1228.1%
    1. Social Sciences49.1%
  1. 1Artificial Intelligence26% of their works
  2. 2Information Systems22% of their works
  3. 3Sociology and Political Science9% of their works
  4. 4Statistical and Nonlinear Physics6% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Lara Quijano-Sánchez's research?

The keywords of their largest research topics: Neural Networks, Collaborative Filtering, Matrix Factorization, Machine Translation, Word Representation, Agent-Based Modeling, Community Question Answering and Community Structure.

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 17 words, with their numbers
  1. Neural Networks222 topics
  2. Collaborative Filtering161 topic
  3. Matrix Factorization161 topic
  4. Machine Translation61 topic
  5. Word Representation61 topic
  6. Agent-Based Modeling41 topic
  7. Community Question Answering41 topic
  8. Community Structure41 topic
  9. Crime41 topic
  10. Expert Finding41 topic
  11. Multi-Agent Systems41 topic
  12. Network Dynamics41 topic
  13. Neural Machine Translation41 topic
  14. Social Structure41 topic
  15. Statistical Machine Translation41 topic
  16. Ontology31 topic
  17. Semantic Web31 topic

Where does Lara Quijano-Sánchez work?

Lara Quijano-Sánchez's main affiliation in the publication record is Universidad Complutense de Madrid, Spain.

How many publications and citations does Lara Quijano-Sánchez have?

OpenAlex counts 44 works and 1,125 citations for Lara Quijano-Sánchez, an h-index of 15, ranking #671,534 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.

Discussion

Ask a question or share a note about Lara Quijano-Sánchez. Posts are plain text and can be reported.