Michael Rietzler

876 citations
28 papers · 595 indexed · h-index 14

Michael Rietzler

27 papers receiving 576 citations

Peers

Michael Rietzler
Comparison fields: 5 of 67
  • Human-Computer Interaction 420
  • Cognitive Neuroscience 265
  • Software 38
  • Computer Vision and Pattern Recognition 145
  • Social Psychology 98
Replace Andrea Bianchi with:
Andrea Bianchi South Korea
Michel Pahud United States
Thorsten Karrer Germany
David Ledo Canada
Reto Wettach Germany
Buntarou Shizuki Japan
Johnny C. Lee United States
Rose Johnson United Kingdom
Sven Wachsmuth Germany
Ke Huo United States
Michael Rietzler relative to Andrea Bianchi South Korea Andrea Bianchi's profile →
Citations per field
00.5×2.7×
Andrea Bianchi · 1×
Citations per year

Countries citing papers authored by Michael Rietzler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rietzler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20242
4 20237
5 202311
6 20239
7 202220
8 202252
9 20229
10 202110
11 202025
12 201929
13 201850
14 20183
15 201895
16 201757
17 201726
18 201612
19 201313
20 201313

About Michael Rietzler

Michael Rietzler is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Business and International Management, Computer Vision and Pattern Recognition and Software, having authored 28 papers that have together received 595 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (15 papers), Tactile and Sensory Interactions (11 papers), Visual perception and processing mechanisms (4 papers), Teleoperation and Haptic Systems (4 papers), Human-Automation Interaction and Safety (3 papers), Augmented Reality Applications (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Spatial Cognition and Navigation (2 papers). The work is most often cited by research in Human-Computer Interaction (420 citations), Cognitive Neuroscience (265 citations), Software (38 citations), Computer Vision and Pattern Recognition (145 citations) and Social Psychology (98 citations). Michael Rietzler has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Enrico Rukzio, Florian Geiselhart, Jan Gugenheimer, Marcel Walch, Julian Frommel, Florian Schaub, Michael Weber, Gabriel Haas, Teresa Hirzle and Eike Langbehn. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Human-Computer Interaction and CHI Conference on Human Factors in Computing Systems.

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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