Thorsten Siebert

51 papers receiving 1.2k citations

Peers

Thorsten Siebert
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 768
  • Civil and Structural Engineering 335
  • Mechanics of Materials 130
  • Mechanical Engineering 141
  • Statistics, Probability and Uncertainty 20
Replace Hugo Leclerc with:
Hugo Leclerc France
Thorsten Pfister Germany
Jean‐Noël Périé France
Elizabeth M. C. Jones United States
Andrew J. Moore United Kingdom
Antonio Baldi Italy
Chi-Hung Hwang Taiwan
Thomas Elguedj France
Marie-Christine Baïetto France
Emmanuel Foltête France
Thorsten Siebert relative to Hugo Leclerc France Hugo Leclerc's profile →
Citations per field
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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 2017139
2 2010136
3 2011134
4 201698
5 200794
6 201881
7 202274
8 200757
9 200954
10 200642
11 200728
12 200025
13 201620
14 202120
15 199918
16 201218
17 199916
18 201316
19 201816
20 200414

About Thorsten Siebert

Thorsten Siebert is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Biophysics, Mechanics of Materials and Mechanical Engineering, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (42 papers), Structural Health Monitoring Techniques (5 papers), Laser-Matter Interactions and Applications (3 papers), Metal Forming Simulation Techniques (3 papers), Mechanical Behavior of Composites (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Metal and Thin Film Mechanics (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (768 citations), Civil and Structural Engineering (335 citations), Mechanics of Materials (130 citations), Mechanical Engineering (141 citations) and Statistics, Probability and Uncertainty (20 citations). Thorsten Siebert has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include John E. Mottershead, Weizhuo Wang, Junrui Li, Lianxiang Yang, Guobiao Yang, Eann A. Patterson, Xin Liang Xie, Erwin K. Hack, Boyang Zhang and Richard L. Burguete. Their work appears in journals such as The Journal of Strain Analysis for Engineering Design, Experimental Mechanics, Optics and Lasers in Engineering, Journal of Raman Spectroscopy 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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