Karsten Sühring
Impact in
- Signal Processing top 1%
- Video Coding and Compression Technologies
- Digital Filter Design and Implementation
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- Advanced Vision and Imaging
- Image and Video Quality Assessment
- Advanced Data Compression Techniques
- Advanced Image Processing Techniques
Papers in
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- Advanced Vision and Imaging 6
- Advanced Data Compression Techniques 5
- Image and Video Quality Assessment 1
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- Video Coding and Compression Technologies 6
- Co-authors
- Frank Bossen (2 shared papers)Benjamin Bross (4 shared papers)David S. Flynn (1 shared paper)Adam Wieckowski (1 shared paper)Shan Liu (1 shared paper)Detlev Marpe (4 shared papers)Heiko Schwarz (4 shared papers)Thomas Wiegand (4 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (3 papers)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Karsten Sühring
6 papers receiving 725 citations
Karsten Sühring's Hit Papers
Peers
Comparison fields: 5 of 24
- Signal Processing 712
- Computer Vision and Pattern Recognition 719
- Media Technology 28
- Hardware and Architecture 21
- Computer Networks and Communications 20
Countries citing papers authored by Karsten Sühring
This map shows the geographic impact of Karsten Sühring'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 Sühring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Sühring more than expected).
Fields of papers citing papers by Karsten Sühring
This network shows the impact of papers produced by Karsten Sühring. 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 Sühring. The network helps show where Karsten Sühring may publish in the future.
Co-authors
The 15 scholars most cited alongside Karsten Sühring, 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 | HEVC Complexity and Implementation Analysis Hit paper breakdown → | 2012 | 591 |
| 2 | 2010 | 104 | |
| 3 | 2021 | 55 | |
| 4 | 2011 | 7 | |
| 5 | 2010 | 6 | |
| 6 | 2022 | 1 |
About Karsten Sühring
Karsten Sühring is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 764 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (6 papers), Advanced Vision and Imaging (6 papers), Advanced Data Compression Techniques (5 papers) and Image and Video Quality Assessment (1 paper). The work is most often cited by research in Signal Processing (712 citations), Computer Vision and Pattern Recognition (719 citations), Media Technology (28 citations), Hardware and Architecture (21 citations) and Computer Networks and Communications (20 citations). Karsten Sühring has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Frank Bossen, Benjamin Bross, David S. Flynn, Adam Wieckowski, Shan Liu, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Sebastian Bosse and Philipp Helle. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Fraunhofer-Publica (Fraunhofer-Gesellschaft), Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and 2022 IEEE International Conference on Image Processing (ICIP).
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.