Matthias Rüther

1.6k citations
47 papers · 971 indexed · h-index 15
Topics
Advanced Vision and Imaging (16 papers)Robotics and Sensor-Based Localization (13 papers)Optical measurement and interference techniques (10 papers)

In The Last Decade

Matthias Rüther

45 papers receiving 946 citations

Peers

Matthias Rüther
Comparison fields: 5 of 74
  • Electronic, Optical and Magnetic Materials 443
  • Biomedical Engineering 359
  • Computer Vision and Pattern Recognition 352
  • Atomic and Molecular Physics, and Optics 276
  • Aerospace Engineering 246
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Haofei Xu China
Daniel van der Weide United States
Elena Stoykova Bulgaria
Quinn Smithwick United States
Jianshe Ma China
David R. Selviah United Kingdom
Réda Yahiaoui France
Chenning Tao China
Samanta Piano United Kingdom
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Citations per field
00.5×10×20×27.7×
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Citations per year

Countries citing papers authored by Matthias Rüther

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Rüther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Rüther

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 14
3 4
4 8
5 12
6 2
7 9
8
Unsupervised Calibration of Camera Networks an Virtual PTZ Cameras
1
9 5
10 29
11
Vision-Based Quality Inspection in Robotic Welding
1
12 17
13 90
14 15
15 290
16
A novel technique to analyse scanning via head movement whilst walking through the Graz mobility test
1
17 11
18 72
19
A Vision-based System for Biomechanical Testing of Articular Cartilage
2
20 7

About Matthias Rüther

Matthias Rüther is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Media Technology, having authored 47 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Robotics and Sensor-Based Localization (13 papers) and Optical measurement and interference techniques (10 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (443 citations), Computer Vision and Pattern Recognition (352 citations) and Media Technology (131 citations). Matthias Rüther has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Horst Bischof, Martin Wegener, Stefan Lindén, Costas M. Soukoulis, Gernot Riegler, David Ferstl, Jiangfeng Zhou, Manuel Decker, Nina Meinzer and Samuel Schulter. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Optics Letters.

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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