Thomas Längle

584 citations
84 papers · 390 indexed · h-index 12

Thomas Längle

77 papers receiving 376 citations

Peers

Thomas Längle
Comparison fields: 5 of 82
  • Industrial and Manufacturing Engineering 64
  • Computer Vision and Pattern Recognition 99
  • Analytical Chemistry 39
  • Industrial and Manufacturing Engineering 32
  • Biophysics 21
Replace Silvia Satorres Martínez with:
Silvia Satorres Martínez Spain
Fujie Wang China
Mingchao Zhu China
Yubin Miao China
Weikang Gu China
Yue Cao China
Shuhui Bi China
Heikki Hyötyniemi Finland
Jiaming Qi China
Liangkuan Zhu China
Thomas Längle relative to Silvia Satorres Martínez Spain Silvia Satorres Martínez's profile →
Citations per field
00.5×6.4×
Silvia Satorres Martínez · 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-authorship network

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
#Work
1 20250
2 20250
3 20240
4 20231
5 20231
6 20232
7 20211
8 20211
9 20203
10 20190
11 20182
12 20160
13 20161
14 201619
15 20101
16 20043
17
ARIKT: Adaptive Robot Based Visual Inspection.
20032
18 200311
19
An Architecture and Communication Protocol for Interaction of Industrial Robots and Vision Systems
20032
20 20024

About Thomas Längle

Thomas Längle is a scholar working on Biophysics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Analytical Chemistry and Media Technology, having authored 84 papers that have together received 390 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (14 papers), Spectroscopy and Chemometric Analyses (12 papers), Optical measurement and interference techniques (11 papers), Optical Polarization and Ellipsometry (10 papers), Mineral Processing and Grinding (10 papers), Surface Roughness and Optical Measurements (9 papers), Image and Object Detection Techniques (9 papers) and Advanced Chemical Sensor Technologies (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (64 citations), Computer Vision and Pattern Recognition (99 citations), Analytical Chemistry (39 citations), Industrial and Manufacturing Engineering (32 citations) and Biophysics (21 citations). Thomas Längle has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Jürgen Beyerer, Georg Maier, Florian Pfaff, Uwe D. Hanebeck, Heinz Wörn, Harald Kruggel‐Emden, Benjamin Noack, Viktor Scherer, Christoph Pieper and S. Wirtz. Their work appears in journals such as Powder Technology, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, 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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