Thomas Stiefmeier
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 2%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Daniel RoggenGeorg OgrisPaul LukowiczGerhard TrösterHolger JunkerPiero ZappiLuca BeniniElisabetta Farella
- Topics
- Context-Aware Activity Recognition Systems (10 papers)Indoor and Outdoor Localization Technologies (5 papers)Hand Gesture Recognition Systems (5 papers)
- Journals
- IEEE Pervasive ComputingPattern Analysis and ApplicationsComputer Science and Information Systems
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Thomas Stiefmeier
18 papers receiving 636 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 471
- Artificial Intelligence 176
- Human-Computer Interaction 173
- Biomedical Engineering 153
- Computer Networks and Communications 113
Countries citing papers authored by Thomas Stiefmeier
This map shows the geographic impact of Thomas Stiefmeier'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 Thomas Stiefmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Stiefmeier more than expected).
Fields of papers citing papers by Thomas Stiefmeier
This network shows the impact of papers produced by Thomas Stiefmeier. 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 Thomas Stiefmeier. The network helps show where Thomas Stiefmeier may publish in the future.
Co-authorship network of co-authors of Thomas Stiefmeier
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Stiefmeier. A scholar is included among the top collaborators of Thomas Stiefmeier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Stiefmeier. Thomas Stiefmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 251 | |
| 10 | 27 | |
| 11 | 89 | |
| 12 | A Wearable Computing Prototype for supporting training activities in Automotive Production | 20 |
| 13 | 54 | |
| 14 | 35 | |
| 15 | Event-Based Activity Tracking in Work Environments | 22 |
| 16 | 69 | |
| 17 | 42 | |
| 18 | 20 |
About Thomas Stiefmeier
Thomas Stiefmeier is a scholar working on Human-Computer Interaction, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 675 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Indoor and Outdoor Localization Technologies (5 papers) and Hand Gesture Recognition Systems (5 papers). The work is most often cited by research in Human-Computer Interaction (173 citations), Computer Vision and Pattern Recognition (471 citations) and Signal Processing (78 citations). Thomas Stiefmeier has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Daniel Roggen, Georg Ogris, Paul Lukowicz, Gerhard Tröster, Holger Junker, Piero Zappi, Luca Benini, Elisabetta Farella, H. Junker and Thorsten Staake. Their work appears in journals such as IEEE Pervasive Computing, Pattern Analysis and Applications and Computer Science and Information Systems.
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.