Thorsten Siebert

51 papers receiving 1.1k citations

Peers

Thorsten Siebert
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 700
  • Media Technology 202
  • Civil and Structural Engineering 413
  • Biophysics 51
  • Mechanical Engineering 293
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Hong Zhao China
N. Krishna Mohan India
Qiukun Zhang China
Chi-Hung Hwang Taiwan
Fumin Zhang China
Bin Xue China
Liping Yan China
Kyihwan Park South Korea
Yavuz Ege Türkiye
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Citations per year

Countries citing papers authored by Thorsten Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 2010124
3 2011116
4 201690
5 200787
6 201876
7 200757
8 200949
9 200639
10 200726
11 200025
12 201620
13 199920
14 200618
15 199917
16 199917
17 199915
18 201815
19 202115
20 201315

About Thorsten Siebert

Thorsten Siebert is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (28 papers), Advanced Measurement and Metrology Techniques (16 papers), Image Processing Techniques and Applications (8 papers), Laser-Matter Interactions and Applications (8 papers), Structural Health Monitoring Techniques (6 papers), Advanced Sensor Technologies Research (5 papers), Spectroscopy and Laser Applications (5 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (700 citations), Media Technology (202 citations), Civil and Structural Engineering (413 citations), Biophysics (51 citations) and Mechanical Engineering (293 citations). Thorsten Siebert has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Weizhuo Wang, John E. Mottershead, Junrui Li, Lianxiang Yang, Guobiao Yang, Alexander Ihle, Xin Xie, Eann A. Patterson, Erwin Hack and Michael Schmitt. Their work appears in journals such as The Journal of Strain Analysis for Engineering Design, Journal of Raman Spectroscopy, Optics and Lasers in Engineering, Experimental Mechanics and Mechanical Systems and Signal Processing.

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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