Michael Beigl

7.3k total citations · 1 hit paper
293 papers, 4.2k citations indexed

About

Michael Beigl is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Michael Beigl has authored 293 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Vision and Pattern Recognition, 90 papers in Electrical and Electronic Engineering and 86 papers in Computer Networks and Communications. Recurrent topics in Michael Beigl's work include Context-Aware Activity Recognition Systems (79 papers), Energy Efficient Wireless Sensor Networks (38 papers) and Tactile and Sensory Interactions (30 papers). Michael Beigl is often cited by papers focused on Context-Aware Activity Recognition Systems (79 papers), Energy Efficient Wireless Sensor Networks (38 papers) and Tactile and Sensory Interactions (30 papers). Michael Beigl collaborates with scholars based in Germany, Japan and United Kingdom. Michael Beigl's co-authors include Hans Gellersen, Albrecht Schmidt, Till Riedel, Matthias Budde, Stephan Sigg, Christian Decker, Dawud Gordon, Markus Scholz, Tobias Zimmer and Albert Krohn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Michael Beigl

277 papers receiving 3.7k citations

Hit Papers

There is more to context than location 1999 2026 2008 2017 1999 100 200 300 400 500
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.

  1. There is more to context than location
    1999 588 citations Albrecht Schmidt, Michael Beigl et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Beigl Germany 30 1.8k 1.3k 1.1k 795 509 293 4.2k
Fahim Kawsar United Kingdom 27 1.5k 0.8× 1.4k 1.1× 965 0.9× 473 0.6× 798 1.6× 165 3.9k
Hong Lu United States 22 1.9k 1.0× 1.3k 1.0× 1.5k 1.3× 651 0.8× 699 1.4× 45 5.4k
Sumi Helal United States 35 2.2k 1.2× 2.8k 2.1× 1.1k 0.9× 442 0.6× 694 1.4× 248 5.4k
Emiliano Miluzzo United States 18 1.4k 0.8× 1.7k 1.3× 1.3k 1.2× 464 0.6× 704 1.4× 27 4.9k
Juan Carlos Augusto United Kingdom 30 1.6k 0.9× 1.1k 0.9× 445 0.4× 274 0.3× 685 1.3× 174 3.3k
Dimitrios Lymberopoulos Greece 31 860 0.5× 1.7k 1.3× 2.1k 1.9× 189 0.2× 475 0.9× 124 4.0k
Tao Gu China 41 2.8k 1.5× 2.5k 1.9× 2.7k 2.4× 446 0.6× 971 1.9× 229 6.7k
Miguel A. Labrador United States 28 2.2k 1.2× 1.5k 1.2× 1.1k 1.0× 228 0.3× 927 1.8× 148 4.6k
Vic Callaghan United Kingdom 25 1.1k 0.6× 576 0.4× 434 0.4× 437 0.5× 855 1.7× 165 3.3k
Rajesh Krishna Balan Singapore 27 796 0.4× 1.1k 0.8× 915 0.8× 208 0.3× 265 0.5× 125 2.7k

Countries citing papers authored by Michael Beigl

Since Specialization
Citations

This map shows the geographic impact of Michael Beigl'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 Michael Beigl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Beigl more than expected).

Fields of papers citing papers by Michael Beigl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Beigl. 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 Michael Beigl. The network helps show where Michael Beigl may publish in the future.

Co-authorship network of co-authors of Michael Beigl

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

All Works

20 of 20 papers shown
1.
Beigl, Michael, et al.. (2025). Haptic Biofeedback for Wakeful Rest: Does Stimulation Location Make a Difference?. 83–90. 1 indexed citations
2.
Kasneci, Enkelejda, et al.. (2025). RouteLLM: A Large Language Model with Native Route Context Understanding to Enable Context-Aware Reasoning. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(3). 1–34. 2 indexed citations
3.
Paradiso, Joseph A., et al.. (2025). OpenEarable 2.0: Open-Source Earphone Platform for Physiological Ear Sensing. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(1). 1–33. 1 indexed citations
4.
Hansen, A. K., Kai Kunze, Michael Thomas Knierim, et al.. (2025). BodyPursuits: Exploring Smooth Pursuit Gaze Interaction Based on Body Motion Targets. 1–8. 1 indexed citations
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Nassif, Sani, et al.. (2024). Analog Printed Spiking Neuromorphic Circuit. 1–6. 4 indexed citations
7.
Riedel, Till, et al.. (2024). Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm. 160–165. 1 indexed citations
8.
Riedel, Till, et al.. (2024). Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 15–27. 2 indexed citations
9.
Beigl, Michael, et al.. (2023). Highly-dependable printed neuromorphic circuits based on additive manufacturing. Flexible and Printed Electronics. 8(2). 25018–25018. 7 indexed citations
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Beigl, Michael, et al.. (2019). Reverse Engineering of Printed Electronics Circuits: From Imaging to Netlist Extraction. IEEE Transactions on Information Forensics and Security. 15. 475–486. 5 indexed citations
13.
Wang, Bowen, et al.. (2018). Automated Quality Assessment of (Citizen) Weather Stations. GI_Forum|GI_Forum 2018, Volume 1 |. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 2 indexed citations
14.
Wang, Long, et al.. (2015). Efficient Calibration Tool for Thermistor. Sensors and Materials. 3 indexed citations
15.
Reschke, Markus, et al.. (2011). Context awareness through the RF-channel. 347. 7 indexed citations
16.
Sigg, Stephan & Michael Beigl. (2008). Randomised Collaborative Transmission of Smart Objects. 4 indexed citations
17.
Decker, Christian, et al.. (2006). Coupling Enterprise Systems with Wireless Sensor Nodes: Analysis, Implementation, Experiences and Guidelines. 393. 4 indexed citations
18.
Krohn, Albert, Tobias Zimmer, Michael Beigl, Christian Decker, & Till Riedel. (2006). The Implementation of Non-Coherent Cooperative Transmission for Wireless Sensor Networks. 135. 1 indexed citations
19.
Beigl, Michael, Stephen Intille, Jun Rekimoto, & Hideyuki Tokuda. (2005). UbiComp 2005: Ubiquitous Computing: 7th International Conference, UbiComp 2005, Tokyo, Japan, September 11-14, 2005, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 2 indexed citations
20.
Schmidt, Albrecht, Michael Beigl, & Hans Gellersen. (1999). Sensor-based adaptive mobile user interfaces. International Conference on Human-Computer Interaction. 251–255. 6 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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