Peter Vangorp

24 papers receiving 490 citations

Peers

Peter Vangorp
Comparison fields: 5 of 61
  • Computer Graphics and Computer-Aided Design 166
  • Computer Vision and Pattern Recognition 272
  • Human-Computer Interaction 60
  • Cognitive Neuroscience 182
  • Atomic and Molecular Physics, and Optics 122
Replace Tommer Leyvand with:
Tommer Leyvand Israel
Masayuki Nakajima Japan
Barbara J. Meier United States
Jose Echevarria United States
Patrick Ledda United Kingdom
Mohamed–Chaker Larabi France
Maria Shugrina Canada
Tunç Ozan Aydın Switzerland
Davide Gadia Italy
Behzad Sajadi United States
Peter Vangorp relative to Tommer Leyvand Israel Tommer Leyvand's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Vangorp

Since Specialization
Citations

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

Fields of papers citing papers by Peter Vangorp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200799
2 200785
3 202052
4 201241
5 201629
6 201024
7 201524
8 201023
9 201719
10 202018
11 201117
12 201317
13 200713
14 200810
15 20188
16 20148
17
Visual equivalence in dynamic scenes
20095
18 20144
19 20064
20
Human Visual Perception of Materials in Realistic Computer Graphics
20094

About Peter Vangorp

Peter Vangorp is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 25 papers that have together received 510 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (12 papers), Visual perception and processing mechanisms (9 papers), Advanced Vision and Imaging (6 papers), Color Science and Applications (4 papers), 3D Shape Modeling and Analysis (4 papers), Image Enhancement Techniques (3 papers), Virtual Reality Applications and Impacts (3 papers) and Image and Video Quality Assessment (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (166 citations), Computer Vision and Pattern Recognition (272 citations), Human-Computer Interaction (60 citations), Cognitive Neuroscience (182 citations) and Atomic and Molecular Physics, and Optics (122 citations). Peter Vangorp has collaborated with scholars based in United Kingdom, Belgium and France. Frequent co-authors include Philip Dutré, George Drettakis, Ares Lagae, Rafał Mantiuk, Roland W. Fleming, Ardhendu Behera, Susan Canning, Hui Fang, Pascal Barla and Karol Myszkowski. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, ACM Transactions on Applied Perception, IEEE Transactions on Visualization and Computer Graphics and Computers & Graphics.

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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