Peter Vangorp

658 citations
25 papers · 500 indexed · h-index 13

Peter Vangorp

23 papers receiving 480 citations

Peers

Peter Vangorp
Comparison fields: 5 of 61
  • Computer Graphics and Computer-Aided Design 166
  • Computer Vision and Pattern Recognition 271
  • Human-Computer Interaction 59
  • Cognitive Neuroscience 178
  • Computational Mechanics 79
Replace Tommer Leyvand with:
Tommer Leyvand Israel
Jose Echevarria United States
Barbara J. Meier United States
Mohamed–Chaker Larabi France
Patrick Ledda United Kingdom
Maria Shugrina Canada
Behzad Sajadi United States
Tunç Ozan Aydın Switzerland
Henry Kang United States
António Augusto de Sousa Portugal
Peter Vangorp relative to Tommer Leyvand Israel Tommer Leyvand's profile →
Citations per field
00.5×2.6×
Tommer Leyvand · 1×
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-authorship network

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
#Work
1 20250
2 202018
3 202050
4 20191
5 201627
6 201523
7 20150
8 20148
9 20144
10 201317
11 201239
12 201117
13 201023
14 201024
15
Isotropic stochastic procedural textures by example
20093
16
Visual equivalence in dynamic scenes
20095
17
Human Visual Perception of Materials in Realistic Computer Graphics
20094
18 200712
19 200799
20 20064

About Peter Vangorp

Peter Vangorp is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 500 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), 3D Shape Modeling and Analysis (4 papers), Color Science and Applications (4 papers), Image and Video Quality Assessment (3 papers), Image Enhancement Techniques (3 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (166 citations), Computer Vision and Pattern Recognition (271 citations) and Human-Computer Interaction (59 citations). Peter Vangorp has collaborated with scholars based in United Kingdom, Belgium and France. Frequent co-authors include Philip Dutré, George Drettakis, Ares Lagae, Roland W. Fleming, Rafał Mantiuk, Pascal Barla, Ardhendu Behera, Hui Fang, Susan Canning and Karol Myszkowski. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, International Journal of Artificial Intelligence in Education, IEEE Transactions on Visualization and Computer Graphics and Signal Processing Image Communication.

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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