Ludger Schmidt

53 papers receiving 459 citations

Peers

Ludger Schmidt
Comparison fields: 5 of 104
  • Human-Computer Interaction 172
  • Computer Vision and Pattern Recognition 198
  • Industrial and Manufacturing Engineering 56
  • Social Psychology 98
  • Information Systems and Management 33
Replace Valeria Orso with:
Valeria Orso Italy
Michael Prilla Germany
Iina Aaltonen Finland
Antti Väätänen Finland
Timo Kuula Finland
Mirabelle D’Cruz United Kingdom
Dzmitry Aliakseyeu Netherlands
Scott Davidoff United States
Indira Thouvenin France
Pardha S. Pyla United States
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Citations per year

Countries citing papers authored by Ludger Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Ludger Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ludger Schmidt, 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 Ludger Schmidt Line = papers co-authored together Ludger Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003114
2 201250
3 200348
4 201933
5 201330
6 201021
7 200814
8 200814
9 200712
10 201411
11 20219
12 20188
13 20148
14 20128
15 20037
16
TEREBES : welding helmet with AR capabilities
20047
17 20217
18 20037
19 20077
20
Empirical studies on an augmented reality user interface for a head based virtual retinal display
20016

About Ludger Schmidt

Ludger Schmidt is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Social Psychology, Mechanical Engineering and Management of Technology and Innovation, having authored 57 papers that have together received 491 indexed citations. Recurring topics across this work include Augmented Reality Applications (11 papers), Virtual Reality Applications and Impacts (9 papers), Human-Automation Interaction and Safety (9 papers), Digital Innovation in Industries (6 papers), Personal Information Management and User Behavior (5 papers), Business Process Modeling and Analysis (5 papers), Gaze Tracking and Assistive Technology (4 papers) and Teleoperation and Haptic Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (172 citations), Computer Vision and Pattern Recognition (198 citations), Industrial and Manufacturing Engineering (56 citations), Social Psychology (98 citations) and Information Systems and Management (33 citations). Ludger Schmidt has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include Holger Luczak, Matthias Roetting, Kurt Geihs, Christopher Schlick, Jan Marco Leimeister, Alexander Roßnagel, Sonja Herres‐Pawlis, A. Zrenner, Gerhard Berth and Hans‐Joachim Warnecke. Their work appears in journals such as Ergonomics, Future Generation Computer Systems, Journal of Luminescence, International Journal of Human-Computer Interaction and Industrial Robot the international journal of robotics research and application.

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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