Christopher Schroers
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Signal Processing top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Co-authors
- Alexander Sorkine‐HornungOlga Sorkine‐HornungAbdelaziz DjelouahYifan WangFederico PerazziBrian McWilliamsJacek NaruniecHenning Zimmer
- Topics
- Advanced Vision and Imaging (16 papers)Advanced Image Processing Techniques (16 papers)Image and Signal Denoising Methods (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- ACM Transactions on GraphicsInternational Journal of Computer VisionImage and Vision Computing
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Christopher Schroers
28 papers receiving 637 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 574
- Media Technology 152
- Signal Processing 96
- Computer Graphics and Computer-Aided Design 55
- Computational Mechanics 54
Countries citing papers authored by Christopher Schroers
This map shows the geographic impact of Christopher Schroers'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 Christopher Schroers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Schroers more than expected).
Fields of papers citing papers by Christopher Schroers
This network shows the impact of papers produced by Christopher Schroers. 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 Christopher Schroers. The network helps show where Christopher Schroers may publish in the future.
Co-authorship network of co-authors of Christopher Schroers
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Schroers. A scholar is included among the top collaborators of Christopher Schroers 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 Christopher Schroers. Christopher Schroers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | Lossy Image Compression with Normalizing Flows | 2 |
| 14 | Deep Generative Video Compression | 5 |
| 15 | 106 | |
| 16 | 19 | |
| 17 | Deep Probabilistic Video Compression | 6 |
| 18 | 172 | |
| 19 | 62 | |
| 20 | 8 |
About Christopher Schroers
Christopher Schroers is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 31 papers that have together received 667 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Advanced Image Processing Techniques (16 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (574 citations), Media Technology (152 citations) and Computer Graphics and Computer-Aided Design (55 citations). Christopher Schroers has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Alexander Sorkine‐Hornung, Olga Sorkine‐Hornung, Abdelaziz Djelouah, Yifan Wang, Federico Perazzi, Brian McWilliams, Jacek Naruniec, Henning Zimmer, Markus Groß and Joachim Weickert. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision and Image and Vision Computing.
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.