Karsten Sühring

963 citations
6 papers · 712 indexed · 1 hit paper · h-index 5
Journals
IEEE Transactions on Circuits and Systems for Video Technology (3 papers)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)

In The Last Decade

Karsten Sühring

6 papers receiving 677 citations

Hit Papers

HEVC Complexity and Implementation Analysis5532012202620162021100200300400500

Peers

Karsten Sühring
Comparison fields: 5 of 23
  • Signal Processing 667
  • Computer Vision and Pattern Recognition 672
  • Media Technology 27
  • Hardware and Architecture 19
  • Sociology and Political Science 33
Replace Dan Grois with:
Dan Grois Israel
Valeri George Germany
Bing-Yu Hsieh Taiwan
Adam Wieckowski Germany
Kenneth Andersson Sweden
Daniel Palomino Brazil
Félix Henry France
Peng Yin United States
Shih-Ta Hsiang United States
Christian Bartnik Germany
Karsten Sühring relative to Dan Grois Israel Dan Grois's profile →
Citations per field
00.5×2.6×
Dan Grois · 1×
Citations per year

Countries citing papers authored by Karsten Sühring

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Karsten Sühring Line = papers co-authored together Karsten Sühring links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20221
2 202150
3
HEVC Complexity and Implementation Analysisbreakdown →
2012553
4 20115
5 20106
6 201097

About Karsten Sühring

Karsten Sühring is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Infectious Diseases, Organic Chemistry and Surgery, having authored 6 papers that have together received 712 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Video Coding and Compression Technologies (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 (667 citations), Computer Vision and Pattern Recognition (672 citations), Media Technology (27 citations), Hardware and Architecture (19 citations) and Sociology and Political Science (33 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, Tobias Hinz, Haricharan Lakshman, Heiko Schwarz, Philipp Helle and Martin Winken. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, 2022 IEEE International Conference on Image Processing (ICIP), Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

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.

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