Tobias Feigl

775 total citations
50 papers, 500 citations indexed

About

Tobias Feigl is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Tobias Feigl has authored 50 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 16 papers in Aerospace Engineering and 15 papers in Signal Processing. Recurrent topics in Tobias Feigl's work include Indoor and Outdoor Localization Technologies (28 papers), Speech and Audio Processing (14 papers) and GNSS positioning and interference (10 papers). Tobias Feigl is often cited by papers focused on Indoor and Outdoor Localization Technologies (28 papers), Speech and Audio Processing (14 papers) and GNSS positioning and interference (10 papers). Tobias Feigl collaborates with scholars based in Germany, United States and Switzerland. Tobias Feigl's co-authors include Christopher Mutschler, Sebastian Kram, Maximilian Stahlke, Michæl Philippsen, Daniel Roth, Marc Erich Latoschik, Bjoern M. Eskofier, Jochen Seitz, Alexander Rügamer and J. Rossouw van der Merwe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Tobias Feigl

45 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tobias Feigl Germany 13 259 142 109 104 94 50 500
Masakatsu Kourogi Japan 14 234 0.9× 179 1.3× 205 1.9× 334 3.2× 30 0.3× 44 607
Frédéric Lerasle France 13 106 0.4× 195 1.4× 108 1.0× 382 3.7× 124 1.3× 59 612
Dominik Joho Germany 9 104 0.4× 104 0.7× 63 0.6× 170 1.6× 99 1.1× 13 400
Eric Martinson United States 12 68 0.3× 54 0.4× 48 0.4× 135 1.3× 98 1.0× 37 393
Swadhin Pradhan United States 8 181 0.7× 27 0.2× 74 0.7× 48 0.5× 52 0.6× 18 380
Yuan Luo China 14 88 0.3× 88 0.6× 97 0.9× 314 3.0× 97 1.0× 77 616
Zhanjun Hao China 15 396 1.5× 96 0.7× 54 0.5× 103 1.0× 72 0.8× 79 590
Xiaochao Dang China 12 237 0.9× 46 0.3× 43 0.4× 89 0.9× 56 0.6× 75 432
Mokhtar Keche Algeria 11 100 0.4× 79 0.6× 16 0.1× 118 1.1× 121 1.3× 56 412
Run Zhao China 14 243 0.9× 38 0.3× 210 1.9× 125 1.2× 42 0.4× 36 496

Countries citing papers authored by Tobias Feigl

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Feigl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Feigl

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Feigl. A scholar is included among the top collaborators of Tobias Feigl 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 Tobias Feigl. Tobias Feigl 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.
2.
Manjunath, H. R., et al.. (2025). Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7. 4 indexed citations
3.
Feigl, Tobias, et al.. (2025). Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7. 1 indexed citations
4.
Stahlke, Maximilian, et al.. (2025). Passive Channel Charting: Locating Passive Targets using a UWB Mesh. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6.
5.
Stahlke, Maximilian, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, & Christopher Mutschler. (2024). Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization. SHILAP Revista de lepidopterología. 2. 166–176. 1 indexed citations
6.
Merwe, J. Rossouw van der, et al.. (2024). Optimal Machine Learning and Signal Processing Synergies for Low-Resource GNSS Interference Classification. IEEE Transactions on Aerospace and Electronic Systems. 60(3). 2705–2721. 5 indexed citations
7.
Stahlke, Maximilian, et al.. (2024). Estimating Multipath Component Delays With Transformer Models. SHILAP Revista de lepidopterología. 2. 219–229. 3 indexed citations
8.
Merwe, J. Rossouw van der, et al.. (2023). Low-Cost COTS GNSS Interference Monitoring, Detection, and Classification System. Sensors. 23(7). 3452–3452. 18 indexed citations
9.
Stahlke, Maximilian, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, & Christopher Mutschler. (2023). Uncertainty-based Fingerprinting Model Selection for Radio Localization. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 4 indexed citations
10.
Feigl, Tobias, et al.. (2022). Multimodal Learning for Reliable Interference Classification in GNSS Signals. Proceedings of the Satellite Division's International Technical Meeting (Online). 3210–3234. 14 indexed citations
11.
Stahlke, Maximilian, Tobias Feigl, Mario H. Castañeda García, et al.. (2022). Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1–5. 23 indexed citations
12.
Stahlke, Maximilian, et al.. (2021). Estimating TOA Reliability With Variational Autoencoders. IEEE Sensors Journal. 22(6). 5133–5140. 27 indexed citations
13.
Feigl, Tobias, et al.. (2020). Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 307–318. 31 indexed citations
14.
Feigl, Tobias, et al.. (2020). Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6 indexed citations
15.
Feigl, Tobias, et al.. (2019). A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU. 1–8. 34 indexed citations
16.
Feigl, Tobias, Christopher Mutschler, & Michæl Philippsen. (2018). Supervised Learning for Yaw Orientation Estimation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 206–212. 7 indexed citations
17.
Feigl, Tobias, et al.. (2017). Acoustical manipulation for redirected walking. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 7 indexed citations
18.
Iro, Heinrich, Tobias Feigl, Johannes Zenk, & Frank Waldfahrer. (1996). In vitro effects of high-energy pulsed ultrasound on human squamous cell carcinoma cells. European Archives of Oto-Rhino-Laryngology. 253(1-2). 11–6. 3 indexed citations
19.
Feigl, Tobias, et al.. (1996). Biophysical effects of high-energy pulsed ultrasound on human cells. Ultrasound in Medicine & Biology. 22(9). 1267–1275. 12 indexed citations
20.
Schneider, H. T., Tobias Feigl, Mario Löhr, et al.. (1994). Invitro effects of high energy pulsed ultrasound (HEPUS) on human tumor cells.

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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