David Unbehaun

512 citations
23 papers · 363 · h-index 11

Impact in

Papers in

David Unbehaun

19 papers receiving 358 citations

Peers

David Unbehaun
Comparison fields: 5 of 62
  • Human-Computer Interaction 136
  • Neuropsychology and Physiological Psychology 17
  • Demography 99
  • Applied Psychology 38
  • Social Psychology 114
Replace Daryoush Daniel Vaziri with:
Daryoush Daniel Vaziri Germany
Sarah Foley Ireland
Emma Dixon United States
Hélène Kerhervé France
Aung Pyae Finland
Souad Damnée France
Victoria Cristancho‐Lacroix France
Gary Gowans United Kingdom
Mario Gregorio Canada
Ian J. Livingston Canada
David Unbehaun relative to Daryoush Daniel Vaziri Germany Daryoush Daniel Vaziri's profile →
Citations per field
00.5×2.9×
Daryoush Daniel Vaziri · 1×
Citations per year

Countries citing papers authored by David Unbehaun

Since Specialization
Citations

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

Fields of papers citing papers by David Unbehaun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020112
2 201849
3 202038
4 202028
5 201825
6 201915
7 201915
8 202312
9 201912
10 201711
11 202310
12 201710
13 20197
14 20245
15 20175
16 20214
17 20213
18 20241
19 20251
20 20250

About David Unbehaun

David Unbehaun is a scholar working on Demography, Human-Computer Interaction, Computer Vision and Pattern Recognition, Management of Technology and Innovation and Artificial Intelligence, having authored 23 papers that have together received 363 indexed citations. Recurring topics across this work include Technology Use by Older Adults (9 papers), AI in Service Interactions (6 papers), Dementia and Cognitive Impairment Research (5 papers), Innovative Approaches in Technology and Social Development (5 papers), Context-Aware Activity Recognition Systems (4 papers), Innovative Human-Technology Interaction (4 papers), Social Robot Interaction and HRI (3 papers) and Persona Design and Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (136 citations), Neuropsychology and Physiological Psychology (17 citations), Demography (99 citations), Applied Psychology (38 citations) and Social Psychology (114 citations). David Unbehaun has collaborated with scholars based in Germany, Netherlands and Australia. Frequent co-authors include Volker Wulf, Rainer Wieching, Konstantin Aal, Daryoush Daniel Vaziri, Peter Tolmie, Diana Löffler, Dave Randall, Inga Koch, Johanna Meurer and Marc Hassenzahl. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Human-Computer Interaction, i-com, Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences) and Gesellschaft für Informatik (GI).

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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