Peter Passmore

8.7k citations
29 papers · 286 · h-index 9

Impact in

    • Virtual Reality Applications and Impacts
    • Visual perception and processing mechanisms
    • Tactile and Sensory Interactions
    • Neural dynamics and brain function
    • Aesthetic Perception and Analysis

Papers in

Peter Passmore

25 papers receiving 265 citations

Peers

Peter Passmore
Comparison fields: 5 of 68
  • Human-Computer Interaction 71
  • Cognitive Neuroscience 140
  • Computer Graphics and Computer-Aided Design 17
  • Computer Vision and Pattern Recognition 95
  • Media Technology 23
Replace Theodore T. Blackmon with:
Theodore T. Blackmon United States
Albert Ng United States
Jan-Philipp Stauffert Germany
Junichi Hoshino Japan
Yuichiro Fujimoto Japan
Tomislav Pejša United States
Rongkai Shi China
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Citations per field
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Citations per year

Countries citing papers authored by Peter Passmore

Since Specialization
Citations

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

Fields of papers citing papers by Peter Passmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199442
2 201337
3 199431
4 200826
5 201625
6 201621
7 201718
8 200218
9 199413
10 19827
11 19956
12 20165
13 20224
14 20054
15 20064
16 20174
17 20093
18 20083
19 20022
20 20022

About Peter Passmore

Peter Passmore is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 29 papers that have together received 286 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (4 papers), Electrical and Bioimpedance Tomography (4 papers), Visual perception and processing mechanisms (4 papers), Augmented Reality Applications (3 papers), Medical Image Segmentation Techniques (2 papers), Data Visualization and Analytics (2 papers), Image Processing Techniques and Applications (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Human-Computer Interaction (71 citations), Cognitive Neuroscience (140 citations), Computer Graphics and Computer-Aided Design (17 citations), Computer Vision and Pattern Recognition (95 citations) and Media Technology (23 citations). Peter Passmore has collaborated with scholars based in United Kingdom, Ireland and Russia. Frequent co-authors include Alan Johnston, Christian Huyck, Andrew Wood, Bob Fields, Maxine Glancy, D. G. Shaposhnikov, Ara Darzi, L. N. Podladchikova, Xiaohong Gao and Yan Zhang. Their work appears in journals such as Perception, Vision Research, The journal of nutrition health & aging, Diabetic Medicine and Cognition Technology & Work.

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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