Georg Ogris
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
Papers in
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- Context-Aware Activity Recognition Systems 7
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- Muscle activation and electromyography studies 2
- Gait Recognition and Analysis 2
- Sports Dynamics and Biomechanics 2
- Co-authors
- Paul Lukowicz (6 shared papers)Thomas Stiefmeier (6 shared papers)Daniel Roggen (2 shared papers)Arnold Baca (3 shared papers)Roland Leser (2 shared papers)Gerhard Tröster (4 shared papers)Holger Junker (2 shared papers)Paul Lukowicz (1 shared paper)
- Journals
- Pattern Analysis and Applications (1 paper)Journal of Sports Sciences (1 paper)IEEE Pervasive Computing (1 paper)Sensors (1 paper)Procedia Engineering (1 paper)
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Georg Ogris
12 papers receiving 701 citations
Peers
Comparison fields: 5 of 75
- Human-Computer Interaction 147
- Computer Vision and Pattern Recognition 398
- Orthopedics and Sports Medicine 122
- Life-span and Life-course Studies 5
- Biomedical Engineering 205
Countries citing papers authored by Georg Ogris
This map shows the geographic impact of Georg Ogris'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 Georg Ogris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Ogris more than expected).
Fields of papers citing papers by Georg Ogris
This network shows the impact of papers produced by Georg Ogris. 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 Georg Ogris. The network helps show where Georg Ogris may publish in the future.
Co-authors
The 15 scholars most cited alongside Georg Ogris, 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 | 2008 | 296 | |
| 2 | 2006 | 84 | |
| 3 | 2012 | 82 | |
| 4 | 2011 | 80 | |
| 5 | 2005 | 46 | |
| 6 | 2007 | 41 | |
| 7 | 2008 | 33 | |
| 8 | Event-Based Activity Tracking in Work Environments | 2006 | 26 |
| 9 | 2011 | 17 | |
| 10 | 2012 | 16 | |
| 11 | 2008 | 15 | |
| 12 | 2004 | 2 |
About Georg Ogris
Georg Ogris is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Human-Computer Interaction, Electrical and Electronic Engineering and Social Psychology, having authored 12 papers that have together received 738 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Hand Gesture Recognition Systems (4 papers), Indoor and Outdoor Localization Technologies (2 papers), Muscle activation and electromyography studies (2 papers), Gait Recognition and Analysis (2 papers), Sports Dynamics and Biomechanics (2 papers), Sports Performance and Training (2 papers) and Green IT and Sustainability (1 paper). The work is most often cited by research in Human-Computer Interaction (147 citations), Computer Vision and Pattern Recognition (398 citations), Orthopedics and Sports Medicine (122 citations), Life-span and Life-course Studies (5 citations) and Biomedical Engineering (205 citations). Georg Ogris has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Paul Lukowicz, Thomas Stiefmeier, Daniel Roggen, Arnold Baca, Roland Leser, Gerhard Tröster, Holger Junker, Paul Lukowicz, Philipp Kornfeind and Mario Heller. Their work appears in journals such as Pattern Analysis and Applications, Journal of Sports Sciences, IEEE Pervasive Computing, Sensors and Procedia Engineering.
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.