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Researcher · Universitat Pompeu Fabra · Spain

Gemma Boleda

Gemma Boleda publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cultural Studies, on topics such as Natural Language Processing Techniques, Topic Modeling and Language and cultural evolution.

ORCID 0000-0001-6140-7080 OpenAlex
World rank
#835,236
of 7,710,434 ranked researchers
Rank in Spain
#16,261
of 204,306
Works
132
Citations
2.1k
Citations per work
15.7
h-index
21
i10-index 37Top 12% in Artificial Intelligence
Gemma Boleda

What does Gemma Boleda research?

Gemma Boleda's work is mostly in Computer Science (67%), Social Sciences (9%), Arts and Humanities (6%).

Physical Sciences: 89 works · 67.4% of their workComputer Science: 89 works · 67.4% of their workArtificial Intelligence: 75 works · 56.8% of their workComputer Vision and Pattern Recognition: 14 works · 10.6% of their workSocial Sciences: 26 works · 19.8% of their workSocial Sciences: 12 works · 9.4% of their workCultural Studies: 10 works · 7.6% of their workLinguistics and Language: 2 works · 1.8% of their workArts and Humanities: 8 works · 6.1% of their workLanguage and Linguistics: 8 works · 6.1% of their workPsychology: 6 works · 4.3% of their workExperimental and Cognitive Psychology: 6 works · 4.3% of their workEverything else: 17 works · 12.8% of their workTHEIR WORKGemma Boleda132works
Physical Sciences67%Social Sciences20%

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 Science8967.4%
    1. Social Sciences129.4%
    2. Arts and Humanities86.1%
    3. Psychology64.3%
  3. Everything else1712.8%
  1. 1Artificial Intelligence57% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Cultural Studies8% of their works
  4. 4Language and Linguistics6% of their works
  5. 5Experimental and Cognitive Psychology4% of their works
  6. 6Linguistics and Language2% of their works

Research topics

Which keywords describe Gemma Boleda's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Text Classification, Machine Translation, Word Representation, Language and Cultural Evolution.

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 19 words, with their numbers
  1. Neural Networks823 topics
  2. Neural Machine Translation751 topic
  3. Statistical Machine Translation751 topic
  4. Text Classification632 topics
  5. Machine Translation561 topic
  6. Word Representation561 topic
  7. Language322 topics
  8. Cultural Evolution251 topic
  9. Social Learning251 topic
  10. Image Captioning191 topic
  11. Visual Question Answering191 topic
  12. Markov Decision Processes111 topic
  13. Spoken Dialogue Systems111 topic
  14. Authorship Attribution71 topic
  15. Automatic71 topic
  16. Extraction71 topic
  17. Metaphor71 topic
  18. Stylometry71 topic
  19. Time71 topic

Where does Gemma Boleda work?

Gemma Boleda's main affiliation in the publication record is Universitat Pompeu Fabra, Spain.

How many publications and citations does Gemma Boleda have?

OpenAlex counts 132 works and 2,075 citations for Gemma Boleda, an h-index of 21, ranking #835,236 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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