Jan Gugenheimer

3.0k citations
68 papers · 1.7k indexed · h-index 23

Jan Gugenheimer

67 papers receiving 1.7k citations

Peers

Jan Gugenheimer
Comparison fields: 5 of 94
  • Human-Computer Interaction 1.3k
  • Computer Vision and Pattern Recognition 710
  • Cognitive Neuroscience 470
  • Social Psychology 322
  • Automotive Engineering 115
Replace Mark McGill with:
Mark McGill United Kingdom
Sven Mayer Germany
Stefan Schneegaß Germany
Audrey Girouard Canada
Kiyoshi Kiyokawa Japan
Eelke Folmer United States
Barrett Ens Australia
Charles B. Owen United States
Tilman Dingler Australia
Wilko Heuten Germany
Jan Gugenheimer relative to Mark McGill United Kingdom Mark McGill's profile →
Citations per field
00.5×
Mark McGill · 1×
Citations per year

Countries citing papers authored by Jan Gugenheimer

Since Specialization
Citations

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

Fields of papers citing papers by Jan Gugenheimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20245
3 20247
4 20245
5 20241
6 202316
7 202310
8 20231
9 202133
10 202113
11 20206
12 20202
13 201850
14 201813
15 201882
16 201734
17 20161
18 201666
19 201523
20 20144

About Jan Gugenheimer

Jan Gugenheimer is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (38 papers), Augmented Reality Applications (26 papers), Interactive and Immersive Displays (22 papers), Tactile and Sensory Interactions (11 papers), Human-Automation Interaction and Safety (6 papers), User Authentication and Security Systems (6 papers), Innovative Human-Technology Interaction (6 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Human-Computer Interaction (1.3k citations), Computer Vision and Pattern Recognition (710 citations) and Cognitive Neuroscience (470 citations). Jan Gugenheimer has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Enrico Rukzio, Evgeny Stemasov, Julian Frommel, Mark McGill, Teresa Hirzle, Florian Geiselhart, Gabriel Haas, Michael Rietzler, Mohamed Khamis and Dennis Wolf. Their work appears in journals such as SHILAP Revista de lepidopterología, Transportation Research Part F Traffic Psychology and Behaviour and ACM Transactions on Computer-Human Interaction.

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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