Stephan Sigg
Impact in
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
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- Context-Aware Activity Recognition Systems
Papers in
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- Advanced Authentication Protocols Security 15
- Cooperative Communication and Network Coding 12
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- Context-Aware Activity Recognition Systems 43
- Co-authors
- Yusheng Ji (23 shared papers)Shuyu Shi (11 shared papers)Michael Beigl (29 shared papers)Si‐Ahmed Naas (8 shared papers)Jing Ma (3 shared papers)Xixiang Lyu (2 shared papers)Sameera Palipana (9 shared papers)Gerhard Tröster (2 shared papers)
In The Last Decade
Stephan Sigg
146 papers receiving 2.6k citations
Stephan Sigg's Hit Papers
Peers
Comparison fields: 5 of 73
- Human-Computer Interaction 261
- Computer Vision and Pattern Recognition 659
- Electrical and Electronic Engineering 1.1k
- Computer Networks and Communications 397
- Artificial Intelligence 504
Countries citing papers authored by Stephan Sigg
This map shows the geographic impact of Stephan Sigg'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 Stephan Sigg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Sigg more than expected).
Fields of papers citing papers by Stephan Sigg
This network shows the impact of papers produced by Stephan Sigg. 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 Stephan Sigg. The network helps show where Stephan Sigg may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Sigg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Privacy‐preserving federated learning based on multi‐key homomorphic encryption Hit paper breakdown → | 2022 | 293 |
| 2 | 2013 | 224 | |
| 3 | 2011 | 142 | |
| 4 | 2021 | 136 | |
| 5 | 2018 | 129 | |
| 6 | 2019 | 126 | |
| 7 | 2014 | 117 | |
| 8 | 2016 | 113 | |
| 9 | 2013 | 98 | |
| 10 | 2022 | 67 | |
| 11 | 2010 | 55 | |
| 12 | 2019 | 42 | |
| 13 | 2017 | 38 | |
| 14 | 2013 | 36 | |
| 15 | Challenges for device-free radio-based activity recognition | 2011 | 33 |
| 16 | 2016 | 33 | |
| 17 | 2018 | 31 | |
| 18 | 2019 | 31 | |
| 19 | 2020 | 31 | |
| 20 | 2019 | 30 |
About Stephan Sigg
Stephan Sigg is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, Electrical and Electronic Engineering and Information Systems, having authored 153 papers that have together received 2.6k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (43 papers), Indoor and Outdoor Localization Technologies (37 papers), Non-Invasive Vital Sign Monitoring (17 papers), User Authentication and Security Systems (16 papers), Advanced Authentication Protocols Security (15 papers), Hand Gesture Recognition Systems (14 papers), Cooperative Communication and Network Coding (12 papers) and Radar Systems and Signal Processing (11 papers). The work is most often cited by research in Human-Computer Interaction (261 citations), Computer Vision and Pattern Recognition (659 citations), Electrical and Electronic Engineering (1.1k citations), Computer Networks and Communications (397 citations) and Artificial Intelligence (504 citations). Stephan Sigg has collaborated with scholars based in Finland, Germany and Japan. Frequent co-authors include Yusheng Ji, Shuyu Shi, Michael Beigl, Si‐Ahmed Naas, Jing Ma, Xixiang Lyu, Sameera Palipana, Gerhard Tröster, Ulf Blanke and Luis A. Leiva. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Access, IEEE Internet of Things Journal, IEEE Pervasive Computing and IEEE Sensors Journal.
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.