Pascal Peter
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
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- Computer Graphics and Visualization Techniques
Papers in ⓘ
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- Image and Signal Denoising Methods 9
- Advanced Image Processing Techniques 6
- Advanced Data Compression Techniques 6
- Generative Adversarial Networks and Image Synthesis 4
- Co-authors
- Joachim Weickert (10 shared papers)Christian Schmaltz (2 shared papers)Andrés Bruhn (1 shared paper)Joan Serra-Sagristà (1 shared paper)Tobias Alt (3 shared papers)Matthias Augustin (2 shared papers)Michael Breuß (2 shared papers)Markus Bambach� (1 shared paper)
In The Last Decade
Pascal Peter
13 papers receiving 146 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 113
- Computer Graphics and Computer-Aided Design 17
- Signal Processing 17
- Media Technology 13
- Structural Biology 2
Countries citing papers authored by Pascal Peter
This map shows the geographic impact of Pascal Peter'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 Pascal Peter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Peter more than expected).
Fields of papers citing papers by Pascal Peter
This network shows the impact of papers produced by Pascal Peter. 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 Pascal Peter. The network helps show where Pascal Peter may publish in the future.
Co-authors
The 9 scholars most cited alongside Pascal Peter, 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 | 2014 | 35 | |
| 2 | 2016 | 24 | |
| 3 | 2017 | 20 | |
| 4 | 2015 | 13 | |
| 5 | 2016 | 13 | |
| 6 | 2022 | 11 | |
| 7 | 2014 | 10 | |
| 8 | 2016 | 10 | |
| 9 | 2017 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2024 | 0 |
About Pascal Peter
Pascal Peter is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Statistical and Nonlinear Physics and Media Technology, having authored 14 papers that have together received 150 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Advanced Image Processing Techniques (6 papers), Advanced Data Compression Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Neural Networks and Applications (2 papers), Model Reduction and Neural Networks (2 papers), 3D Shape Modeling and Analysis (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Computer Graphics and Computer-Aided Design (17 citations), Signal Processing (17 citations), Media Technology (13 citations) and Structural Biology (2 citations). Pascal Peter has collaborated with scholars based in Germany and Spain. Frequent co-authors include Joachim Weickert, Christian Schmaltz, Andrés Bruhn, Joan Serra-Sagristà, Tobias Alt, Matthias Augustin, Michael Breuß, Markus Bambach� and Johannes Buhl. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Pattern Analysis and Applications, Research in the Mathematical Sciences, International Journal of Computer Vision 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.