Karsten Mueller
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Computer Graphics and Computer-Aided Design top 5%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Co-authors
- Aljoša SmolićThomas WiegandPhilipp MerklePeter KauffPeter EisertChristoph FehnAtanas GotchevGözde Bozdağı Akar
- Topics
- Advanced Vision and Imaging (20 papers)Video Coding and Compression Technologies (11 papers)Computer Graphics and Visualization Techniques (10 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyGyroscopy and Navigation
- Partner nations
- GermanyRussiaUnited States
In The Last Decade
Karsten Mueller
22 papers receiving 602 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 592
- Signal Processing 390
- Computer Graphics and Computer-Aided Design 70
- Media Technology 66
- Electrical and Electronic Engineering 30
Countries citing papers authored by Karsten Mueller
This map shows the geographic impact of Karsten Mueller'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 Karsten Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Mueller more than expected).
Fields of papers citing papers by Karsten Mueller
This network shows the impact of papers produced by Karsten Mueller. 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 Karsten Mueller. The network helps show where Karsten Mueller may publish in the future.
Co-authorship network of co-authors of Karsten Mueller
This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Mueller. A scholar is included among the top collaborators of Karsten Mueller 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 Karsten Mueller. Karsten Mueller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 47 | |
| 12 | 15 | |
| 13 | 70 | |
| 14 | 195 | |
| 15 | 10 | |
| 16 | 191 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 2 |
About Karsten Mueller
Karsten Mueller is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 23 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (20 papers), Video Coding and Compression Technologies (11 papers) and Computer Graphics and Visualization Techniques (10 papers). The work is most often cited by research in Signal Processing (390 citations), Computer Vision and Pattern Recognition (592 citations) and Computer Graphics and Computer-Aided Design (70 citations). Karsten Mueller has collaborated with scholars based in Germany, Russia and United States. Frequent co-authors include Aljoša Smolić, Thomas Wiegand, Philipp Merkle, Peter Kauff, Peter Eisert, Christoph Fehn, Atanas Gotchev, Gözde Bozdağı Akar, Jöern Ostermann and Alper Koz. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and Gyroscopy and Navigation.
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.