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Researcher · Cornell University · United States

François V. Guimbretière

François V. Guimbretière publishes mostly in Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Interactive and Immersive Displays, Tactile and Sensory Interactions and Augmented Reality Applications.

ORCID 0000-0002-5510-6799 OpenAlex
World rank
#39,664
of 7,710,434 ranked researchers
Rank in United States
#15,183
of 1,627,098
Works
133
Citations
6.2k
Citations per work
46.3
h-index
46
i10-index 87Top 1.8% in Human-Computer Interaction
François V. Guimbretière

What does François V. Guimbretière research?

François V. Guimbretière's work is mostly in Computer Science (55%), Neuroscience (12%), Engineering (3%).

Physical Sciences: 77 works · 58.1% of their workComputer Science: 73 works · 55.2% of their workHuman-Computer Interaction: 42 works · 31.8% of their workComputer Vision and Pattern Recognition: 23 works · 17.2% of their workArtificial Intelligence: 4 works · 3.1% of their workInformation Systems: 4 works · 3.1% of their workEngineering: 4 works · 2.9% of their workAutomotive Engineering: 4 works · 2.9% of their workEverything else: 40 works · 30.4% of their workLife Sciences: 15 works · 11.5% of their workNeuroscience: 15 works · 11.5% of their workCognitive Neuroscience: 15 works · 11.5% of their workTHEIR WORKFrançois V.Guimbretière133works
Life Sciences12%Physical Sciences58%

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 Science7355.2%
    2. Engineering42.9%
  2. Everything else4030.4%
    1. Neuroscience1511.5%
  1. 1Human-Computer Interaction32% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Cognitive Neuroscience12% of their works
  4. 4Information Systems3% of their works
  5. 5Artificial Intelligence3% of their works
  6. 6Automotive Engineering3% of their works

Research topics

Which keywords describe François V. Guimbretière's research?

The keywords of their largest research topics: Gesture Recognition, Interaction Techniques, Tangible User Interfaces, User Experience, Cross-modal Plasticity, Tactile Perception, Human-Computer Interaction and Education.

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. Gesture Recognition812 topics
  2. Interaction Techniques701 topic
  3. Tangible User Interfaces701 topic
  4. User Experience382 topics
  5. Cross-modal Plasticity361 topic
  6. Tactile Perception361 topic
  7. Human-Computer Interaction353 topics
  8. Education271 topic
  9. Technology271 topic
  10. Usability151 topic
  11. User-Centered Design151 topic
  12. Design Research111 topic
  13. Hand Gesture111 topic
  14. Information Visualization111 topic
  15. Interaction Design111 topic
  16. Sign Language111 topic
  17. Visual Analytics111 topic
  18. Eye Tracking91 topic
  19. Gaze Estimation91 topic

Where does François V. Guimbretière work?

François V. Guimbretière's main affiliation in the publication record is Cornell University, United States.

How many publications and citations does François V. Guimbretière have?

OpenAlex counts 133 works and 6,153 citations for François V. Guimbretière, an h-index of 46, ranking #39,664 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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