Peter Wonka

15.0k total citations · 3 hit papers
201 papers, 9.3k citations indexed

About

Peter Wonka is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Peter Wonka has authored 201 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Computer Vision and Pattern Recognition, 94 papers in Computer Graphics and Computer-Aided Design and 66 papers in Computational Mechanics. Recurrent topics in Peter Wonka's work include Computer Graphics and Visualization Techniques (82 papers), 3D Shape Modeling and Analysis (54 papers) and Advanced Vision and Imaging (49 papers). Peter Wonka is often cited by papers focused on Computer Graphics and Visualization Techniques (82 papers), 3D Shape Modeling and Analysis (54 papers) and Advanced Vision and Imaging (49 papers). Peter Wonka collaborates with scholars based in United States, Saudi Arabia and Canada. Peter Wonka's co-authors include Jieping Ye, Przemysław Musialski, Pascal Müller, Ji Liu, Luc Van Gool, Michael Wimmer, Simon Haegler, François X. Sillion, William Ribarsky and Liangliang Nan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and ACM Transactions on Graphics.

In The Last Decade

Peter Wonka

198 papers receiving 9.0k citations

Hit Papers

Tensor Completion for Estimating Missing Values in Visual... 2006 2026 2012 2019 2012 2006 2013 400 800 1.2k

Peers

Peter Wonka
Comparison fields: 5 of 154
  • Computer Vision and Pattern Recognition 4.2k
  • Computational Mechanics 2.9k
  • Computer Graphics and Computer-Aided Design 2.6k
  • Geology 2.2k
  • Environmental Engineering 1.8k
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Citations per field, relative to Peter Wonka
Peter Wonka · 1×
Citations per year, relative to Peter Wonka
Peter Wonka · 1×

Countries citing papers authored by Peter Wonka

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wonka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Wonka

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Wonka. A scholar is included among the top collaborators of Peter Wonka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Wonka. Peter Wonka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 36
4 2
5 7
6 35
7 5
8
Do GAN Loss Functions Really Matter
1
9 178
10
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
11
11
A multi-stage framework for Dantzig selector and LASSO
5
12
Tensor Completion for Estimating Missing Values in Visual Data breakdown →
1418
13 1
14 40
15
Multi-Stage Dantzig Selector
5
16
Parallel generation of L-systems
3
17 116
18 30
19
Procedural modeling of buildings breakdown →
665
20 11

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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