Jon Hasselgren

2.6k citations
42 papers · 1.0k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Jon Hasselgren

41 papers receiving 970 citations

Hit Papers

Extracting Triangular 3D Models, Materials, and Lighting From Images 2022 · 184 citations
184202220262023202450100150

Peers

Jon Hasselgren
Comparison fields: 5 of 65
  • Computer Graphics and Computer-Aided Design 511
  • Computer Vision and Pattern Recognition 752
  • Media Technology 121
  • Computational Mechanics 274
  • Structural Biology 15
Replace Jacob Munkberg with:
Jacob Munkberg Sweden
Miika Aittala Finland
Heiko Friedrich Germany
Morgan McGuire United States
Jiawen Chen China
Simon Niklaus United States
Johannes Hanika Germany
Manfred Ernst United States
Jack Goldfeather United States
James Bigler United States
Jon Hasselgren relative to Jacob Munkberg Sweden Jacob Munkberg's profile →
Citations per field
00.5×1.6×
Jacob Munkberg · 1×
Citations per year

Countries citing papers authored by Jon Hasselgren

Since Specialization
Citations

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

Fields of papers citing papers by Jon Hasselgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20232
4 202324
5
Noise2Noise: Learning image restoration without clean data
2018208
6 20167
7 20154
8 201426
9 20132
10 201118
11 200913
12 20083
13 20089
14 200754
15 200716
16 20073
17 200623
18 20066
19 20054
20 200318

About Jon Hasselgren

Jon Hasselgren is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Hardware and Architecture and Media Technology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (36 papers), Advanced Vision and Imaging (22 papers), 3D Shape Modeling and Analysis (15 papers), Advanced Image Processing Techniques (9 papers), Advanced Numerical Analysis Techniques (5 papers), Parallel Computing and Optimization Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (511 citations), Computer Vision and Pattern Recognition (752 citations), Media Technology (121 citations), Computational Mechanics (274 citations) and Structural Biology (15 citations). Jon Hasselgren has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Jacob Munkberg, Tomas Akenine‐Möller, Petrik Clarberg, Samuli Laine, Jaakko Lehtinen, Miika Aittala, Timo Aila, Tero Karras, Tianchang Shen and Sanja Fidler. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, The Visual Computer, Proceedings of the ACM on Computer Graphics and Interactive Techniques and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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