Stephan Sigg

3.1k total citations · 1 hit paper
132 papers, 2.1k citations indexed

About

Stephan Sigg is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephan Sigg has authored 132 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 46 papers in Computer Networks and Communications and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephan Sigg's work include Indoor and Outdoor Localization Technologies (42 papers), Context-Aware Activity Recognition Systems (28 papers) and Speech and Audio Processing (19 papers). Stephan Sigg is often cited by papers focused on Indoor and Outdoor Localization Technologies (42 papers), Context-Aware Activity Recognition Systems (28 papers) and Speech and Audio Processing (19 papers). Stephan Sigg collaborates with scholars based in Finland, Germany and Japan. Stephan Sigg's co-authors include Yusheng Ji, Shuyu Shi, Michael Beigl, Si‐Ahmed Naas, Xixiang Lyu, Jing Ma, Markus Scholz, Sameera Palipana, Gerhard Tröster and Ulf Blanke and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Vehicular Technology.

In The Last Decade

Stephan Sigg

125 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Privacy‐preserving federated learning based on multi‐key homomorphic encryption

2022 222 citations Jing Ma, Si‐Ahmed Naas et al. International Journal of Intelligent Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stephan Sigg Finland	22	1.2k	598	556	446	380	132	2.1k
Yuanqing Zheng Hong Kong	32	1.9k 1.6×	788 1.3×	410 0.7×	385 0.9×	421 1.1×	116	3.2k
Chenren Xu China	27	1.6k 1.4×	950 1.6×	462 0.8×	536 1.2×	293 0.8×	115	2.8k
Parth H. Pathak United States	21	2.1k 1.8×	685 1.1×	532 1.0×	468 1.0×	566 1.5×	74	3.2k
Wei Xi China	25	2.0k 1.7×	741 1.2×	548 1.0×	549 1.2×	283 0.7×	124	2.8k
Kun Qian China	22	2.0k 1.7×	793 1.3×	534 1.0×	727 1.6×	425 1.1×	81	2.7k
Longfei Shangguan United States	35	2.2k 1.8×	681 1.1×	643 1.2×	457 1.0×	355 0.9×	85	3.1k
Othman Omran Khalifa Malaysia	24	580 0.5×	512 0.9×	788 1.4×	330 0.7×	511 1.3×	295	2.6k
Anthony Rowe United States	30	1.7k 1.4×	1.3k 2.1×	667 1.2×	246 0.6×	306 0.8×	139	3.0k
Xianping Tao China	21	660 0.6×	575 1.0×	801 1.4×	281 0.6×	132 0.3×	80	1.6k

Countries citing papers authored by Stephan Sigg

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stephan Sigg

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Sigg. A scholar is included among the top collaborators of Stephan Sigg 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 Stephan Sigg. Stephan Sigg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lovén, Lauri, et al.. (2025). Agentic Edge Intelligence: A Research Agenda. 1–5.

2.

Yi̇ği̇tler, Hüseyi̇n, et al.. (2025). Wearable Non-Invasive Arterial Pulse Detection with a Millimeter-wave Radar. 184–190. 1 indexed citations

3.

Muaaz, Muhammad, et al.. (2024). A Paradigm Shift From an Experimental-Based to a Simulation-Based Framework Using Motion-Capture Driven MIMO Radar Data Synthesis. IEEE Sensors Journal. 24(10). 16614–16628. 3 indexed citations

4.

Sigg, Stephan, et al.. (2023). Accurate RF-sensing of complex gestures using RFID with variable phase-profiles. Aaltodoc (Aalto University). 1–4. 2 indexed citations

5.

Naas, Si‐Ahmed & Stephan Sigg. (2023). Fast converging Federated Learning with Non-IID Data. Aaltodoc (Aalto University). 1–6. 4 indexed citations

6.

Carvalho, Elisabeth de, et al.. (2022). Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks. VBN Forskningsportal (Aalborg Universitet). 158–165. 7 indexed citations

7.

Sigg, Stephan, et al.. (2022). CardioID: Secure ECG-BCG Agnostic Interaction-Free Device Pairing. IEEE Access. 10. 128682–128696. 2 indexed citations

8.

Naas, Si‐Ahmed, et al.. (2022). Knowledge Sharing in AI Services: A Market-Based Approach. IEEE Internet of Things Journal. 10(2). 1320–1331. 4 indexed citations

9.

Ma, Jing, Si‐Ahmed Naas, Stephan Sigg, & Xixiang Lyu. (2022). Privacy‐preserving federated learning based on multi‐key homomorphic encryption. International Journal of Intelligent Systems. 37(9). 5880–5901. 222 indexed citations breakdown →

10.

Naas, Si‐Ahmed, et al.. (2020). SVP: Sinusoidal Viewport Prediction for 360-Degree Video Streaming. IEEE Access. 8. 164471–164481. 6 indexed citations

11.

Palipana, Sameera, et al.. (2020). 3D Head Motion Detection Using Millimeter-Wave Doppler Radar. IEEE Access. 8. 32321–32331. 17 indexed citations

12.

Bavendiek, Udo, et al.. (2020). A Structured Measurement of Highly Synchronous Real-Time Ballistocardiography Signal Data of Heart Failure Patients. Studies in health technology and informatics. 270. 808–812. 1 indexed citations

13.

Kulau, Ulf, et al.. (2019). High-Resolution Synchronous Digital Ballistocardiography Setup. Aaltodoc (Aalto University). 9005482. 1 indexed citations

14.

Sigg, Stephan, Eemil Lagerspetz, Ella Peltonen, Petteri Nurmi, & Sasu Tarkoma. (2019). Exploiting Usage to Predict Instantaneous App Popularity. ACM Transactions on the Web. 13(2). 1–25. 14 indexed citations

15.

Sigg, Stephan, Petteri Nurmi, & Flora D. Salim. (2015). Mobile Computing, Applications, and Services: 7th International Conference, MobiCASE 2015 Berlin, Germany, November 12-13, 2015 Revised Selected Papers. Scopus (Elsevier). 1 indexed citations

16.

Sigg, Stephan, et al.. (2013). Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features. 43–52. 17 indexed citations

17.

Bader, Sebastian, Anika Schumann, Stephan Sigg, et al.. (2013). Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities. International Joint Conference on Artificial Intelligence. 1 indexed citations

18.

David, Klaus, et al.. (2010). DAG Based Context Reasoning: Optimised DAG Creation. 1–182. 1 indexed citations

19.

Sigg, Stephan, et al.. (2010). Performance Analysis of Receive Collaboration in TDMA-based Wireless Sensor Networks. 236. 1 indexed citations

20.

Sigg, Stephan & Michael Beigl. (2008). Randomised Collaborative Transmission of Smart Objects. 4 indexed citations

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.

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