Michael Thees

16 papers receiving 593 citations

Peers

Michael Thees
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 375
  • Human-Computer Interaction 65
  • Experimental and Cognitive Psychology 87
  • Media Technology 35
  • Computer Science Applications 21
Replace Sebastian Kapp with:
Sebastian Kapp Germany
Sarah Malone Germany
Hüseyin Miraç Pektaş Türkiye
Ruixue Liu China
Diego Villarán Spain
Yasin Özarslan Türkiye
Rafael Villena-Taranilla Spain
Jixin Wang China
Qinna Feng China
Marc Ericson C. Santos Japan
Michael Thees relative to Sebastian Kapp Germany Sebastian Kapp's profile →
Citations per field
00.5×1.5×
Sebastian Kapp · 1×
Citations per year

Countries citing papers authored by Michael Thees

Since Specialization
Citations

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

Fields of papers citing papers by Michael Thees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020266
2 2020139
3 201865
4 201832
5 202219
6 202118
7 202015
8 201714
9 20169
10 20199
11 20176
12 20186
13 20185
14 20194
15 20212
16 20211
17 20190
18 20190
19 20190
20 20220

About Michael Thees

Michael Thees is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Human-Computer Interaction and Media Technology, having authored 20 papers that have together received 610 indexed citations. Recurring topics across this work include Augmented Reality Applications (10 papers), Experimental and Theoretical Physics Studies (6 papers), Visual and Cognitive Learning Processes (2 papers), Gaze Tracking and Assistive Technology (1 paper), Science Education and Pedagogy (1 paper), Advanced Measurement and Detection Methods (1 paper), Educational Methods and Outcomes (1 paper) and Laser-induced spectroscopy and plasma (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (375 citations), Human-Computer Interaction (65 citations), Experimental and Cognitive Psychology (87 citations), Media Technology (35 citations) and Computer Science Applications (21 citations). Michael Thees has collaborated with scholars based in Germany, Belgium and Ireland. Frequent co-authors include Jochen Kühn, Sebastian Kapp, Martin P. Strzys, Paul Lukowicz, Fabian Beil, Kristin Altmeyer, Roland Brünken, Sarah Malone, Pascal Klein and Pascal Knierim. Their work appears in journals such as Frontiers in Psychology, British Journal of Educational Technology, Computers in Human Behavior, The Physics Teacher and Frontiers in Education.

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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