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Researcher · Goldsmiths University of London · United Kingdom

William W. Gaver

William W. Gaver publishes mostly in Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Innovative Human-Technology Interaction, Interactive and Immersive Displays and Usability and User Interface Design.

ORCID 0000-0003-1275-7652 OpenAlex
World rank
#60,808
of 7,710,434 ranked researchers
Rank in United Kingdom
#5,108
of 367,258
Works
176
Citations
17k
Citations per work
95.8
h-index
48
i10-index 85Top 1.6% in Human-Computer Interaction
William W. Gaver

What does William W. Gaver research?

William W. Gaver's work is mostly in Computer Science (45%), Neuroscience (6%), Social Sciences (5%).

Physical Sciences: 87 works · 49.5% of their workComputer Science: 80 works · 45.4% of their workHuman-Computer Interaction: 68 works · 38.8% of their workComputer Vision and Pattern Recognition: 12 works · 6.6% of their workEngineering: 7 works · 4.1% of their workMechanical Engineering: 7 works · 4.1% of their workEverything else: 64 works · 36.1% of their workSocial Sciences: 15 works · 8.6% of their workSocial Sciences: 9 works · 5.0% of their workSociology and Political Science: 9 works · 5.0% of their workBusiness, Management and Accounting: 6 works · 3.6% of their workManagement of Technology and Innovation: 6 works · 3.6% of their workLife Sciences: 10 works · 5.8% of their workNeuroscience: 10 works · 5.8% of their workCognitive Neuroscience: 10 works · 5.8% of their workTHEIR WORKWilliam W. Gaver176works
Life Sciences6%Physical Sciences49%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 Science8045.4%
    2. Engineering74.1%
  2. Everything else6436.1%
    1. Social Sciences95.0%
    2. Business, Management and Accounting63.6%
    1. Neuroscience105.8%
  1. 1Human-Computer Interaction39% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Cognitive Neuroscience6% of their works
  4. 4Sociology and Political Science5% of their works
  5. 5Mechanical Engineering4% of their works
  6. 6Management of Technology and Innovation4% of their works

Research topics

Which keywords describe William W. Gaver's research?

The keywords of their largest research topics: Participatory Design, Design Research, User Experience, Gesture Recognition, Human-Computer Interaction, User-Centered Design, Interaction Techniques and Tangible User Interfaces.

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 20 words, with their numbers
  1. Participatory Design872 topics
  2. Design Research741 topic
  3. User Experience741 topic
  4. Gesture Recognition422 topics
  5. Human-Computer Interaction342 topics
  6. User-Centered Design332 topics
  7. Interaction Techniques311 topic
  8. Tangible User Interfaces311 topic
  9. Mobile Applications231 topic
  10. Usability231 topic
  11. Design Thinking151 topic
  12. Engineering Design151 topic
  13. Open Innovation131 topic
  14. User-Centric Design131 topic
  15. Interactive Evolutionary Computation111 topic
  16. Music Generation111 topic
  17. Older Adults111 topic
  18. Technology Use111 topic
  19. Data-Driven101 topic
  20. Personas101 topic

Where does William W. Gaver work?

William W. Gaver's main affiliation in the publication record is Goldsmiths University of London, United Kingdom.

How many publications and citations does William W. Gaver have?

OpenAlex counts 176 works and 16,853 citations for William W. Gaver, an h-index of 48, ranking #60,808 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.

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