Tim Chuk

412 citations
11 papers · 327 · h-index 7

Impact in

    • Gaze Tracking and Assistive Technology
    • Face Recognition and Perception
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • EEG and Brain-Computer Interfaces

Papers in

Tim Chuk

11 papers receiving 305 citations

Peers

Tim Chuk
Comparison fields: 5 of 70
  • Human-Computer Interaction 58
  • Cognitive Neuroscience 172
  • Computer Vision and Pattern Recognition 128
  • Experimental and Cognitive Psychology 66
  • Sensory Systems 15
Replace Susan J. Boyce with:
Susan J. Boyce United States
Sage Boettcher United Kingdom
Oswald Barral Finland
Gabriela Moise Romania
Ellen Campana United States
Fiore Martin United Kingdom
Francesca Nonis Italy
Koichi Moriyama Japan
Tao Lin China
Nora Hollenstein Switzerland
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Citations per field
00.5×6.2×
Susan J. Boyce · 1×
Citations per year

Countries citing papers authored by Tim Chuk

Since Specialization
Citations

This map shows the geographic impact of Tim Chuk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Chuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Chuk more than expected).

Fields of papers citing papers by Tim Chuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Chuk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Chuk. The network helps show where Tim Chuk may publish in the future.

Co-authors

The 9 scholars most cited alongside Tim Chuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Chuk Line = papers co-authored together Tim Chuk links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014123
2 201760
3 201349
4 201742
5 201925
6
Mind reading: Discovering individual preferences from eye movements using switching hidden Markov models.
201610
7
Hidden Markov model analysis reveals better eye movement strategies in face recognition
20156
8 20155
9 20143
10
Understanding eye movements in face recognition with hidden Markov model
20133
11
Understanding eye movements in face recognition with hidden Markov model - eScholarship
20131

About Tim Chuk

Tim Chuk is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Experimental and Cognitive Psychology, Human-Computer Interaction and Statistical and Nonlinear Physics, having authored 11 papers that have together received 327 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Face Recognition and Perception (6 papers), Face recognition and analysis (5 papers), Visual Attention and Saliency Detection (4 papers), Gaze Tracking and Assistive Technology (2 papers), Glaucoma and retinal disorders (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (58 citations), Cognitive Neuroscience (172 citations), Computer Vision and Pattern Recognition (128 citations), Experimental and Cognitive Psychology (66 citations) and Sensory Systems (15 citations). Tim Chuk has collaborated with scholars based in Hong Kong, Australia and New Zealand. Frequent co-authors include Antoni B. Chan, Janet H. Hsiao, William G. Hayward, Kate Crookes, Shinsuke Shimojo, Ricardo Buettner, Christian Maier, Andreas Eckhardt and Emanuele Coviello. Their work appears in journals such as Journal of Vision, Cognitive Science, Journal of Cardiovascular Pharmacology, Cognition and Behavior Research Methods.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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