Guy Wallis

4.7k citations
133 papers · 3.3k · h-index 29

Impact in

Papers in

    • Visual perception and processing mechanisms 37
    • Neural dynamics and brain function 16
    • Face Recognition and Perception 14
    • Motor Control and Adaptation 10
    • Human-Automation Interaction and Safety 16

Guy Wallis

125 papers receiving 3.2k citations

Peers

Guy Wallis
Comparison fields: 5 of 147
  • Cognitive Neuroscience 1.6k
  • Human-Computer Interaction 242
  • Sensory Systems 123
  • Social Psychology 544
  • Experimental and Cognitive Psychology 309
Replace Steven G. Luke with:
Steven G. Luke United States
Fang Fang China
Mary K. Kaiser United States
Tom Trościanko United Kingdom
Daniel Mestre France
Ian M. Thornton Germany
Jan Wiener United Kingdom
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Darren Burke Australia
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Guy Wallis

Since Specialization
Citations

This map shows the geographic impact of Guy Wallis'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 Guy Wallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Wallis more than expected).

Fields of papers citing papers by Guy Wallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Wallis. 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 Guy Wallis. The network helps show where Guy Wallis may publish in the future.

Co-authors

The 25 scholars most cited alongside Guy Wallis, 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 Guy Wallis Line = papers co-authored together Guy Wallis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997433
2 2005184
3 2001174
4 1999158
5 2010144
6 2007110
7 200997
8 200588
9
Media Presence and Inner Presence: The Sense of Presence in Virtual Reality Technologies
200685
10 200975
11 201072
12 201071
13 200868
14 201659
15 200058
16 200255
17 199647
18 201245
19 200844
20 199742

About Guy Wallis

Guy Wallis is a scholar working on Cognitive Neuroscience, Social Psychology, Human-Computer Interaction, Nature and Landscape Conservation and Computer Vision and Pattern Recognition, having authored 133 papers that have together received 3.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (37 papers), Human-Automation Interaction and Safety (16 papers), Neural dynamics and brain function (16 papers), Virtual Reality Applications and Impacts (15 papers), Face Recognition and Perception (14 papers), Fish biology, ecology, and behavior (13 papers), Traffic and Road Safety (10 papers) and Motor Control and Adaptation (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Human-Computer Interaction (242 citations), Sensory Systems (123 citations), Social Psychology (544 citations) and Experimental and Cognitive Psychology (309 citations). Guy Wallis has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include HH Bülthoff, Edmund T. Rolls, Ulrike E. Siebeck, Carlos M. Coelho, Olivia Carter, Jennifer Tichon, John D. Pettigrew, Felix Hasler, Franz X. Vollenweider and Lenore Litherland. Their work appears in journals such as Journal of Vision, Perception, Displays, Journal of Neurophysiology and Gastrointestinal Endoscopy.

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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