Thomas Längle

650 citations
109 papers · 497 · h-index 12

Impact in

Papers in

Thomas Längle

97 papers receiving 473 citations

Peers

Thomas Längle
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 102
  • Computer Vision and Pattern Recognition 130
  • Waste Management and Disposal 25
  • Control and Systems Engineering 71
  • Analytical Chemistry 30
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Wei‐Lung Mao Taiwan
Víctor Ayala-Ramírez Mexico
E.N. Malamas Greece
Xing Li Wu China
S. S. N. Alhady Malaysia
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Huizhong Yang China
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Ivan Müller Brazil
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Citations per field
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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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202024
2 200423
3 202421
4 200319
5 201619
6 201819
7 200118
8 201518
9 202116
10 201913
11 202013
12 201712
13 202412
14 201611
15 201611
16 201711
17 201911
18 201911
19 201710
20 20159

About Thomas Längle

Thomas Längle is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Analytical Chemistry, Media Technology and Control and Systems Engineering, having authored 109 papers that have together received 497 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (32 papers), Spectroscopy and Chemometric Analyses (14 papers), Video Surveillance and Tracking Methods (13 papers), Mineral Processing and Grinding (11 papers), Optical Polarization and Ellipsometry (11 papers), Optical measurement and interference techniques (10 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (102 citations), Computer Vision and Pattern Recognition (130 citations), Waste Management and Disposal (25 citations), Control and Systems Engineering (71 citations) and Analytical Chemistry (30 citations). Thomas Längle has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Jürgen Beyerer, Robin Gruna, Georg Maier, Heinz Wörn, Uwe D. Hanebeck, Florian Pfaff, Harald Kruggel‐Emden, Michael Heizmann, Benjamin Noack and S. Wirtz. Their work appears in journals such as Applied Optics, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Powder Technology, 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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