Michael Rietzler

936 citations
31 papers · 678 · h-index 15

Impact in

Papers in

Michael Rietzler

27 papers receiving 660 citations

Peers

Michael Rietzler
Comparison fields: 5 of 71
  • Human-Computer Interaction 466
  • Cognitive Neuroscience 287
  • Software 53
  • Computer Vision and Pattern Recognition 166
  • Social Psychology 106
Replace Andrea Bianchi with:
Andrea Bianchi South Korea
Thorsten Karrer Germany
Jamie Zigelbaum United States
José P. Molina Spain
Rose Johnson United Kingdom
Buntarou Shizuki Japan
Reto Wettach Germany
Te-Yen Wu United States
J. Michael Moshell United States
Scott S. Snibbe United States
Michael Rietzler relative to Andrea Bianchi South Korea Andrea Bianchi's profile →
Citations per field
00.5×3.8×
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-authors

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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 201774
3 201860
4 202260
5 201849
6 201744
7 201933
8 201932
9 202027
10 201726
11 202224
12 201817
13 202317
14 201316
15 201314
16 201613
17 202112
18 202011
19 202210
20 20239

About Michael Rietzler

Michael Rietzler is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology and Mechanical Engineering, having authored 31 papers that have together received 678 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (16 papers), Tactile and Sensory Interactions (11 papers), Teleoperation and Haptic Systems (4 papers), Visual perception and processing mechanisms (4 papers), Context-Aware Activity Recognition Systems (3 papers), Human-Automation Interaction and Safety (3 papers), Innovative Human-Technology Interaction (3 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (466 citations), Cognitive Neuroscience (287 citations), Software (53 citations), Computer Vision and Pattern Recognition (166 citations) and Social Psychology (106 citations). Michael Rietzler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Enrico Rukzio, Florian Geiselhart, Jan Gugenheimer, Marcel Walch, Michael Weber, Florian Schaub, Julian Frommel, 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, Proceedings of the ACM on Human-Computer Interaction, ACM Transactions on Computer-Human Interaction, IEEE Transactions on Visualization and Computer Graphics and ArXiv.org.

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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