Peter U. Tse

4.6k citations
132 papers · 2.9k indexed · h-index 28

Peter U. Tse

124 papers receiving 2.8k citations

Peers

Peter U. Tse
Comparison fields: 5 of 147
  • Cognitive Neuroscience 2.5k
  • Experimental and Cognitive Psychology 638
  • Social Psychology 399
  • Sensory Systems 88
  • Computer Graphics and Computer-Aided Design 51
Replace Kim M. Dalton with:
Kim M. Dalton United States
Heather A. Drury United States
Robert W. Kentridge United Kingdom
Rebecca Lawson United Kingdom
Mark E. McCourt United States
James W. Lewis United States
Scott O. Murray United States
Peter Janssen Belgium
Itzhak Aharon United States
Mika Koivisto Finland
Peter U. Tse relative to Kim M. Dalton United States Kim M. Dalton's profile →
Citations per field
00.5×2.7×
Kim M. Dalton · 1×
Citations per year

Countries citing papers authored by Peter U. Tse

Since Specialization
Citations

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

Fields of papers citing papers by Peter U. Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter U. Tse. 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 Peter U. Tse. The network helps show where Peter U. Tse may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202313
4 202319
5 202113
6 20158
7 20112
8 20111
9 20113
10 20117
11 20102
12 20104
13 200914
14 200719
15
Fundamentals of awareness : multi-sensory integration and high-order perception
20061
16 200610
17 2005140
18 200523
19
Transformational apparent motion in the volume domain
19993
20 199937

About Peter U. Tse

Peter U. Tse is a scholar working on Cognitive Neuroscience, Computer Graphics and Computer-Aided Design, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Ophthalmology, having authored 132 papers that have together received 2.9k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (98 papers), Neural dynamics and brain function (52 papers), Neural and Behavioral Psychology Studies (27 papers), Face Recognition and Perception (17 papers), Tactile and Sensory Interactions (11 papers), Visual Attention and Saliency Detection (10 papers), Advanced Vision and Imaging (10 papers) and Ophthalmology and Visual Impairment Studies (8 papers). The work is most often cited by research in Cognitive Neuroscience (2.5k citations), Experimental and Cognitive Psychology (638 citations), Social Psychology (399 citations), Sensory Systems (88 citations) and Computer Graphics and Computer-Aided Design (51 citations). Peter U. Tse has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Patrick Cavanagh, Alexander Schlegel, Gideon P. Caplovitz, James Intriligator, Josée Rivest, P.-J. Hsieh, Nikos K. Logothetis, Mark W. Greenlee, Peter J. Kohler and Sebastian Frank. Their work appears in journals such as Journal of Vision, Vision Research, Perception, NeuroImage and Attention Perception & Psychophysics.

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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