Jonas Auda

535 citations
31 papers · 397 · h-index 9

Impact in

Papers in

Jonas Auda

30 papers receiving 388 citations

Peers

Jonas Auda
Comparison fields: 5 of 64
  • Human-Computer Interaction 231
  • Information Systems and Management 51
  • Computer Vision and Pattern Recognition 138
  • Cognitive Neuroscience 82
  • Social Psychology 58
Replace Changuk Sohn with:
Changuk Sohn Canada
Lars Lischke Germany
Ceenu George Germany
Jérémie Garcia France
Stefan Marti United States
Eija Haapalainen Finland
Byungjoo Lee South Korea
Alan Esenther United States
Gabriel Alexis Guijarro Reyes United States
C. Schmandt United States
Jonas Auda relative to Changuk Sohn Canada Changuk Sohn's profile →
Citations per field
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Changuk Sohn · 1×
Citations per year

Countries citing papers authored by Jonas Auda

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Auda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonas Auda, 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 Jonas Auda Line = papers co-authored together Jonas Auda 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 202176
2 202252
3 202342
4 201836
5 201932
6 201826
7 201420
8 202116
9 202212
10 20239
11 20219
12 20219
13 20218
14 20208
15 20228
16 20216
17 20244
18 20233
19 20223
20 20182

About Jonas Auda

Jonas Auda is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Information Systems and Management and Social Psychology, having authored 31 papers that have together received 397 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (14 papers), Augmented Reality Applications (8 papers), Tactile and Sensory Interactions (8 papers), Interactive and Immersive Displays (6 papers), Usability and User Interface Design (4 papers), Personal Information Management and User Behavior (3 papers), Teleoperation and Haptic Systems (3 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Human-Computer Interaction (231 citations), Information Systems and Management (51 citations), Computer Vision and Pattern Recognition (138 citations), Cognitive Neuroscience (82 citations) and Social Psychology (58 citations). Jonas Auda has collaborated with scholars based in Germany, France and Egypt. Frequent co-authors include Stefan Schneegaß, Uwe Gruenefeld, Sven Mayer, Florian Alt, Dominik Weber, Alexandra Voit, Sarah Faltaous, Lukas Mecke, Mohamed A. Khamis and Niels Henze. Their work appears in journals such as International Journal of Human-Computer Interaction, ACM Computing Surveys, Multimodal Technologies and Interaction, Lecture notes in computer science and Frontiers in artificial intelligence and applications.

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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