Jens Weppner
Impact in
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology
- Interactive and Immersive Displays
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
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- Context-Aware Activity Recognition Systems 7
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- Interactive and Immersive Displays 2
- Co-authors
- Paul Lukowicz (16 shared papers)Koichi Kise (2 shared papers)Shoya Ishimaru (2 shared papers)Andreas Dengel (1 shared paper)Andreas Bulling (1 shared paper)Kai Kunze (1 shared paper)Benjamin Bischke (3 shared papers)Jochen Kühn (3 shared papers)
- Journals
- IEEE Transactions on Learning Technologies (1 paper)IEEE Sensors Journal (1 paper)BOA (University of Milano-Bicocca) (1 paper)TU/e Research Portal (1 paper)
- Partner nations
- GermanyJapanNetherlands
In The Last Decade
Jens Weppner
17 papers receiving 534 citations
Peers
Comparison fields: 5 of 81
- Human-Computer Interaction 151
- Transportation 146
- Computer Science Applications 70
- Applied Psychology 42
- Computer Vision and Pattern Recognition 179
Countries citing papers authored by Jens Weppner
This map shows the geographic impact of Jens Weppner'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 Jens Weppner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Weppner more than expected).
Fields of papers citing papers by Jens Weppner
This network shows the impact of papers produced by Jens Weppner. 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 Jens Weppner. The network helps show where Jens Weppner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jens Weppner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 141 | |
| 2 | 2014 | 121 | |
| 3 | 2016 | 52 | |
| 4 | 2013 | 48 | |
| 5 | 2012 | 41 | |
| 6 | 2016 | 40 | |
| 7 | 2014 | 27 | |
| 8 | 2015 | 23 | |
| 9 | 2010 | 15 | |
| 10 | 2014 | 14 | |
| 11 | 2013 | 9 | |
| 12 | 2013 | 7 | |
| 13 | 2014 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2018 | 0 |
About Jens Weppner
Jens Weppner is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Transportation, Applied Psychology and Experimental and Cognitive Psychology, having authored 18 papers that have together received 553 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Digital Mental Health Interventions (4 papers), Human Mobility and Location-Based Analysis (4 papers), Mobile Health and mHealth Applications (2 papers), Evacuation and Crowd Dynamics (2 papers), Interactive and Immersive Displays (2 papers), Mental Health Research Topics (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Human-Computer Interaction (151 citations), Transportation (146 citations), Computer Science Applications (70 citations), Applied Psychology (42 citations) and Computer Vision and Pattern Recognition (179 citations). Jens Weppner has collaborated with scholars based in Germany, Japan and Netherlands. Frequent co-authors include Paul Lukowicz, Koichi Kise, Shoya Ishimaru, Andreas Dengel, Andreas Bulling, Kai Kunze, Benjamin Bischke, Jochen Kühn, Michael Hirth and Kai Kunze. Their work appears in journals such as IEEE Transactions on Learning Technologies, IEEE Sensors Journal, BOA (University of Milano-Bicocca) and TU/e Research Portal.
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.