Stephan Sigg
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Indoor and Outdoor Localization Technologies 46
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- Cooperative Communication and Network Coding 13
- Bluetooth and Wireless Communication Technologies 10
- Co-authors
- Yusheng Ji (23 shared papers)Shuyu Shi (11 shared papers)Michael Beigl (28 shared papers)Si‐Ahmed Naas (8 shared papers)Jing Ma (2 shared papers)Xixiang Lyu (1 shared paper)Markus Scholz (6 shared papers)Sameera Palipana (8 shared papers)
In The Last Decade
Stephan Sigg
139 papers receiving 2.3k citations
Stephan Sigg's Hit Papers
Peers
Comparison fields: 5 of 107
- Signal Processing 485
- Human-Computer Interaction 232
- Computer Vision and Pattern Recognition 662
- Computer Networks and Communications 681
- Electrical and Electronic Engineering 1.3k
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 148 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 | 257 |
| 2 | 2013 | 220 | |
| 3 | 2011 | 134 | |
| 4 | 2018 | 123 | |
| 5 | 2021 | 120 | |
| 6 | 2014 | 112 | |
| 7 | 2019 | 109 | |
| 8 | 2016 | 107 | |
| 9 | 2013 | 97 | |
| 10 | 2022 | 58 | |
| 11 | 2010 | 53 | |
| 12 | 2019 | 38 | |
| 13 | 2013 | 34 | |
| 14 | 2016 | 33 | |
| 15 | Challenges for device-free radio-based activity recognition | 2011 | 33 |
| 16 | 2018 | 31 | |
| 17 | 2014 | 28 | |
| 18 | 2012 | 27 | |
| 19 | 2019 | 27 | |
| 20 | 2011 | 27 |
About Stephan Sigg
Stephan Sigg is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 148 papers that have together received 2.4k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (46 papers), Context-Aware Activity Recognition Systems (34 papers), User Authentication and Security Systems (20 papers), Speech and Audio Processing (19 papers), Cooperative Communication and Network Coding (13 papers), Bluetooth and Wireless Communication Technologies (10 papers), Mobile Crowdsensing and Crowdsourcing (9 papers) and Music and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (485 citations), Human-Computer Interaction (232 citations), Computer Vision and Pattern Recognition (662 citations), Computer Networks and Communications (681 citations) and Electrical and Electronic Engineering (1.3k 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, Markus Scholz, Sameera Palipana, Gerhard Tröster and Ulf Blanke. Their work appears in journals such as IEEE Access, IEEE Transactions on Mobile Computing, IEEE Pervasive Computing, IEEE Sensors Journal and IEEE Internet of Things 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.