Jonathan Granskog
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
- Human Pose and Action Recognition
- Advanced Image Processing Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 4
- Advanced Vision and Imaging 4
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- Computer Graphics and Visualization Techniques 6
- Co-authors
- Patrick Esser (1 shared paper)Parmida Atighehchian (1 shared paper)Fabrice Rousselle (6 shared papers)Jan Novák (6 shared papers)Marios Papas (3 shared papers)George Drettakis (1 shared paper)Ravi Ramamoorthi (1 shared paper)Miika Aittala (1 shared paper)
- Journals
- ACM Transactions on Graphics (3 papers)Computer Graphics Forum (2 papers)Eurographics (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Jonathan Granskog
7 papers receiving 215 citations
Jonathan Granskog's Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Graphics and Computer-Aided Design 77
- Computer Vision and Pattern Recognition 173
- Health Informatics 3
- Computational Mechanics 43
- Signal Processing 16
Countries citing papers authored by Jonathan Granskog
This map shows the geographic impact of Jonathan Granskog'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 Jonathan Granskog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Granskog more than expected).
Fields of papers citing papers by Jonathan Granskog
This network shows the impact of papers produced by Jonathan Granskog. 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 Jonathan Granskog. The network helps show where Jonathan Granskog may publish in the future.
Co-authors
The 8 scholars most cited alongside Jonathan Granskog, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structure and Content-Guided Video Synthesis with Diffusion Models Hit paper breakdown → | 2023 | 167 |
| 2 | 2022 | 24 | |
| 3 | 2020 | 20 | |
| 4 | 2021 | 9 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 1 |
About Jonathan Granskog
Jonathan Granskog is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Biophysics and Infectious Diseases, having authored 7 papers that have together received 227 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (4 papers) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (77 citations), Computer Vision and Pattern Recognition (173 citations), Health Informatics (3 citations), Computational Mechanics (43 citations) and Signal Processing (16 citations). Jonathan Granskog has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Patrick Esser, Parmida Atighehchian, Fabrice Rousselle, Jan Novák, Marios Papas, George Drettakis, Ravi Ramamoorthi and Miika Aittala. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Eurographics.
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.