Andreas Karrenbauer

36 papers receiving 390 citations

Peers

Andreas Karrenbauer
Comparison fields: 5 of 98
  • Human-Computer Interaction 69
  • Computer Graphics and Computer-Aided Design 33
  • Computer Vision and Pattern Recognition 89
  • Computational Theory and Mathematics 50
  • Industrial and Manufacturing Engineering 31
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Takanori Fujiwara Japan
Alex Tek France
Jun Yuan China
Ulrike Stege Canada
Christoph Müller Germany
F. David Fracchia Canada
William V. Wright United States
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Citations per year

Countries citing papers authored by Andreas Karrenbauer

Since Specialization
Citations

This map shows the geographic impact of Andreas Karrenbauer'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 Andreas Karrenbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Karrenbauer more than expected).

Fields of papers citing papers by Andreas Karrenbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Karrenbauer. 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 Andreas Karrenbauer. The network helps show where Andreas Karrenbauer may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas Karrenbauer, 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 Andreas Karrenbauer Line = papers co-authored together Andreas Karrenbauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 202141
3 201032
4 201030
5 201325
6 201423
7 200516
8 200915
9 200914
10 201514
11
A Clipper-free Algorithm for Efficient HW-Implementation of Local Dimming LED-Backlight
200810
12 201810
13 202210
14 201710
15 201210
16 20189
17 20216
18
Discrete fitting of hydrogen-deuterium-exchange data of overlapping fragments
20096
19 20076
20 20176

About Andreas Karrenbauer

Andreas Karrenbauer is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering, having authored 37 papers that have together received 410 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (6 papers), Complexity and Algorithms in Graphs (6 papers), Optimization and Search Problems (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Color Science and Applications (4 papers), Optimization and Packing Problems (3 papers), Advanced Graph Theory Research (3 papers) and Semiconductor Lasers and Optical Devices (3 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Computer Graphics and Computer-Aided Design (33 citations), Computer Vision and Pattern Recognition (89 citations), Computational Theory and Mathematics (50 citations) and Industrial and Manufacturing Engineering (31 citations). Andreas Karrenbauer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Antti Oulasvirta, Tobias Jung, Tobias Kraus, Jürgen Steimle, Aditya Shekhar Nittala, Arshad Khan, Christoph Lenzen, Dominik Wöll, Mohsen Ghaffari and Fabian Kühn. Their work appears in journals such as Theoretical Computer Science, Algorithmica, SIAM Journal on Computing, Communications of the ACM and Nature Communications.

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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