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Researcher · KU Leuven · Belgium

Guillem Collell

Guillem Collell publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, on topics such as Multimodal Machine Learning Applications, Natural Language Processing Techniques and Topic Modeling.

ORCID 0000-0003-1998-8621 OpenAlex
World rank
#1,845,498
of 7,710,434 ranked researchers
Rank in Belgium
#16,910
of 67,186
Works
28
Citations
582
Citations per work
20.8
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Guillem Collell

What does Guillem Collell research?

Guillem Collell's work is mostly in Computer Science (69%), Psychology (6%), Engineering (5%).

Physical Sciences: 22 works · 76.9% of their workComputer Science: 19 works · 69.2% of their workArtificial Intelligence: 11 works · 41.0% of their workComputer Vision and Pattern Recognition: 8 works · 28.2% of their workEngineering: 1 works · 5.1% of their workCivil and Structural Engineering: 1 works · 5.1% of their workPhysics and Astronomy: 1 works · 2.6% of their workStatistical and Nonlinear Physics: 1 works · 2.6% of their workEverything else: 4 works · 14.1% of their workSocial Sciences: 2 works · 6.4% of their workPsychology: 2 works · 6.4% of their workExperimental and Cognitive Psychology: 2 works · 6.4% of their workLife Sciences: 1 works · 2.6% of their workNeuroscience: 1 works · 2.6% of their workCognitive Neuroscience: 1 works · 2.6% of their workTHEIR WORKGuillem Collell28works
Life Sciences3%Physical Sciences77%Social Sciences6%

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 Science1969.2%
    2. Engineering15.1%
    3. Physics and Astronomy12.6%
  2. Everything else414.1%
    1. Psychology26.4%
    1. Neuroscience12.6%
  1. 1Artificial Intelligence41% of their works
  2. 2Computer Vision and Pattern Recognition28% of their works
  3. 3Experimental and Cognitive Psychology6% of their works
  4. 4Civil and Structural Engineering5% of their works
  5. 5Statistical and Nonlinear Physics3% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe Guillem Collell's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Image Captioning, Visual Question Answering, Neural Machine Translation, Statistical Machine Translation, Machine Translation and Markov Decision Processes.

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 18 words, with their numbers
  1. Neural Networks212 topics
  2. Deep Learning202 topics
  3. Image Captioning151 topic
  4. Visual Question Answering151 topic
  5. Neural Machine Translation81 topic
  6. Statistical Machine Translation81 topic
  7. Machine Translation61 topic
  8. Markov Decision Processes61 topic
  9. Spoken Dialogue Systems61 topic
  10. Word Representation61 topic
  11. Feature Matching51 topic
  12. Local Descriptors51 topic
  13. Domain Adaptation31 topic
  14. Footbridges31 topic
  15. Metaphor31 topic
  16. Time31 topic
  17. Transfer Learning31 topic
  18. Vibration Serviceability31 topic

Where does Guillem Collell work?

Guillem Collell's main affiliation in the publication record is KU Leuven, Belgium.

How many publications and citations does Guillem Collell have?

OpenAlex counts 28 works and 582 citations for Guillem Collell, an h-index of 9, ranking #1,845,498 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

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