Karsten Sühring

963 total citations · 1 hit paper
6 papers, 712 citations indexed

About

Karsten Sühring is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Infectious Diseases. According to data from OpenAlex, Karsten Sühring has authored 6 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in Karsten Sühring's work include Advanced Vision and Imaging (6 papers), Video Coding and Compression Technologies (6 papers) and Advanced Data Compression Techniques (5 papers). Karsten Sühring is often cited by papers focused on Advanced Vision and Imaging (6 papers), Video Coding and Compression Technologies (6 papers) and Advanced Data Compression Techniques (5 papers). Karsten Sühring collaborates with scholars based in Germany, United States and Canada. Karsten Sühring's 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 and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

In The Last Decade

Karsten Sühring

6 papers receiving 677 citations

Hit Papers

HEVC Complexity and Implementation Analysis 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karsten Sühring Germany 5 672 667 35 33 27 6 712
Dan Grois Israel 10 398 0.6× 352 0.5× 25 0.7× 35 1.1× 26 1.0× 31 447
Kenneth Andersson Sweden 9 528 0.8× 420 0.6× 29 0.8× 11 0.3× 18 0.7× 23 574
Christian Bartnik Germany 8 546 0.8× 473 0.7× 24 0.7× 22 0.7× 29 1.1× 11 578
Peng Yin United States 15 742 1.1× 664 1.0× 20 0.6× 26 0.8× 11 0.4× 48 778
Joel Solé United States 12 516 0.8× 410 0.6× 13 0.4× 39 1.2× 41 1.5× 40 545
Valeri George Germany 10 368 0.5× 327 0.5× 27 0.8× 23 0.7× 18 0.7× 22 406
Yago Sánchez Germany 11 334 0.5× 257 0.4× 46 1.3× 60 1.8× 42 1.6× 31 381
Jim Bankoski United States 7 385 0.6× 312 0.5× 22 0.6× 21 0.6× 26 1.0× 10 417
Alireza Aminlou Finland 10 480 0.7× 377 0.6× 22 0.6× 82 2.5× 63 2.3× 44 500
Félix Henry France 7 387 0.6× 357 0.5× 14 0.4× 24 0.7× 14 0.5× 19 413

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 of co-authors of Karsten Sühring

This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Sühring. A scholar is included among the top collaborators of Karsten Sühring 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 Sühring. Karsten Sühring is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Sühring, Karsten, et al.. (2022). Trellis-Coded Quantization for End-to-End Learned Image Compression. 2022 IEEE International Conference on Image Processing (ICIP). 31. 3306–3310. 1 indexed citations
2.
Bossen, Frank, Karsten Sühring, Adam Wieckowski, & Shan Liu. (2021). VVC Complexity and Software Implementation Analysis. IEEE Transactions on Circuits and Systems for Video Technology. 31(10). 3765–3778. 50 indexed citations
3.
Bossen, Frank, Benjamin Bross, Karsten Sühring, & David S. Flynn. (2012). HEVC Complexity and Implementation Analysis. IEEE Transactions on Circuits and Systems for Video Technology. 22(12). 1685–1696. 553 indexed citations breakdown →
4.
Marpe, Detlev, Heiko Schwarz, Thomas Wiegand, et al.. (2011). Improved video compression technology and the emerging high efficiency video coding standard. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 52–56. 5 indexed citations
5.
Marpe, Detlev, Heiko Schwarz, Sebastian Bosse, et al.. (2010). Highly efficient video compression using quadtree structures and improved techniques for motion representation and entropy coding. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 206–209. 6 indexed citations
6.
Marpe, Detlev, Heiko Schwarz, Sebastian Bosse, et al.. (2010). Video Compression Using Nested Quadtree Structures, Leaf Merging, and Improved Techniques for Motion Representation and Entropy Coding. IEEE Transactions on Circuits and Systems for Video Technology. 20(12). 1676–1687. 97 indexed citations

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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