Markus Kästner

483 citations
88 papers · 394 · h-index 11

Impact in

Papers in

Markus Kästner

82 papers receiving 366 citations

Peers

Markus Kästner
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 249
  • Mechanical Engineering 263
  • Geology 30
  • Instrumentation 18
  • Computational Mechanics 89
Replace John-Eric Dufour with:
John-Eric Dufour France
Junpeng Xue China
Yongjia Xu United Kingdom
Jubing Chen China
Fuqiang Zhong Singapore
Thorsten Bothe Germany
Cai Xu China
Axel von Freyberg Germany
Johannes Schlarp Austria
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Citations per field
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Citations per year

Countries citing papers authored by Markus Kästner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kästner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201723
2 201020
3 201819
4 201519
5 201516
6 201716
7 201714
8 201112
9 201210
10 200610
11 202110
12 202010
13 20179
14 20208
15 20228
16 20068
17 20097
18 20177
19 20196
20 20166

About Markus Kästner

Markus Kästner is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Mechanics of Materials, having authored 88 papers that have together received 394 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (61 papers), Optical measurement and interference techniques (60 papers), Surface Roughness and Optical Measurements (19 papers), Advanced Surface Polishing Techniques (14 papers), Laser and Thermal Forming Techniques (9 papers), 3D Surveying and Cultural Heritage (9 papers), Manufacturing Process and Optimization (5 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (249 citations), Mechanical Engineering (263 citations), Geology (30 citations), Instrumentation (18 citations) and Computational Mechanics (89 citations). Markus Kästner has collaborated with scholars based in Germany, Switzerland and Ukraine. Frequent co-authors include Eduard Reithmeier, Yinan Li, Florian Nürnberger, Tino Hausotte, Jörg Seewig, Hans Jürgen Maier, Sven Hübner, Yinan Li, Bernd‐Arno Behrens and Friedrich‐Wilhelm Bach. Their work appears in journals such as Sensors, Optical Engineering, Applied Optics, steel research international and Measurement.

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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