Thomas Längle

608 citations
99 papers · 461 · h-index 12

Impact in

Papers in

Thomas Längle

90 papers receiving 445 citations

Peers

Thomas Längle
Comparison fields: 5 of 90
  • Industrial and Manufacturing Engineering 86
  • Computer Vision and Pattern Recognition 112
  • Analytical Chemistry 44
  • Industrial and Manufacturing Engineering 39
  • Biophysics 23
Replace Robin Gruna with:
Robin Gruna Germany
Silvia Satorres Martínez Spain
Andrzej Kotyra Poland
Fujie Wang China
Weikang Gu China
Yue Cao China
Shuhui Bi China
Jiusun Zeng China
Jiaming Qi China
Heikki Hyötyniemi Finland
Thomas Längle relative to Robin Gruna Germany Robin Gruna's profile →
Citations per field
00.5×5.8×
Robin Gruna · 1×
Citations per year

Countries citing papers authored by Thomas Längle

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Längle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200422
2 202022
3 201619
4 201819
5 200118
6 200318
7 201518
8 202415
9 202114
10 201914
11 202012
12 201712
13 201711
14 201611
15 201911
16 201611
17 201910
18 20179
19 20159
20 20248

About Thomas Längle

Thomas Längle is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering and Computational Mechanics, having authored 99 papers that have together received 461 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (19 papers), Spectroscopy and Chemometric Analyses (13 papers), Optical measurement and interference techniques (13 papers), Image and Object Detection Techniques (11 papers), Mineral Processing and Grinding (11 papers), Optical Polarization and Ellipsometry (10 papers), Modular Robots and Swarm Intelligence (10 papers) and Surface Roughness and Optical Measurements (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (86 citations), Computer Vision and Pattern Recognition (112 citations), Analytical Chemistry (44 citations), Industrial and Manufacturing Engineering (39 citations) and Biophysics (23 citations). Thomas Längle has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Jürgen Beyerer, Robin Gruna, Georg Maier, Heinz Wörn, Florian Pfaff, Uwe D. Hanebeck, Michael Heizmann, Benjamin Noack, Harald Kruggel‐Emden and S. Wirtz. Their work appears in journals such as Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Powder Technology, Applied Optics, tm - Technisches Messen and Sensors.

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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