Kilian Förster
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computer Networks and Communications top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Gerhard TrösterDaniel RoggenAlberto CalatroniMarc BächlinAlois FerschaPaul LukowiczRicardo ChavarriagaJosé del R. Millán
- Topics
- Context-Aware Activity Recognition Systems (10 papers)IoT and Edge/Fog Computing (3 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- European Journal of Gastroenterology & HepatologyJournal of Ambient Intelligence and Humanized ComputingInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Kilian Förster
13 papers receiving 899 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 696
- Artificial Intelligence 273
- Biomedical Engineering 241
- Computer Networks and Communications 235
- Human-Computer Interaction 125
Countries citing papers authored by Kilian Förster
This map shows the geographic impact of Kilian Förster'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 Kilian Förster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kilian Förster more than expected).
Fields of papers citing papers by Kilian Förster
This network shows the impact of papers produced by Kilian Förster. 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 Kilian Förster. The network helps show where Kilian Förster may publish in the future.
Co-authorship network of co-authors of Kilian Förster
This figure shows the co-authorship network connecting the top 25 collaborators of Kilian Förster. A scholar is included among the top collaborators of Kilian Förster 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 Kilian Förster. Kilian Förster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 45 | |
| 4 | On the Issue of Variability in Labels and Sensor Configurations in Activity Recognition Systems | 4 |
| 5 | Robust activity recognition for assistive technologies: Benchmarking machine learning techniques | 3 |
| 6 | 36 | |
| 7 | Collecting complex activity datasets in highly rich networked sensor environmentsbreakdown → | 524 |
| 8 | 113 | |
| 9 | 69 | |
| 10 | 35 | |
| 11 | 58 | |
| 12 | 28 | |
| 13 | 7 |
About Kilian Förster
Kilian Förster is a scholar working on Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation and Computer Science Applications, having authored 13 papers that have together received 934 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), IoT and Edge/Fog Computing (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (696 citations), Human-Computer Interaction (125 citations) and Signal Processing (113 citations). Kilian Förster has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Gerhard Tröster, Daniel Roggen, Alberto Calatroni, Marc Bächlin, Alois Ferscha, Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, David Bannach and Thomas Holleczek. Their work appears in journals such as European Journal of Gastroenterology & Hepatology, Journal of Ambient Intelligence and Humanized Computing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.