Timo Jaeschke

1.5k total citations
48 papers, 1.2k citations indexed

About

Timo Jaeschke is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Timo Jaeschke has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 25 papers in Biomedical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Timo Jaeschke's work include Acoustic Wave Resonator Technologies (16 papers), Microwave and Dielectric Measurement Techniques (14 papers) and Radio Frequency Integrated Circuit Design (10 papers). Timo Jaeschke is often cited by papers focused on Acoustic Wave Resonator Technologies (16 papers), Microwave and Dielectric Measurement Techniques (14 papers) and Radio Frequency Integrated Circuit Design (10 papers). Timo Jaeschke collaborates with scholars based in Germany, France and Austria. Timo Jaeschke's co-authors include Nils Pohl, Christian Bredendiek, Klaus Aufinger, Simon Kueppers, Thomas Musch, Christoph Baer, Sven Thomas, Jan Barowski, Michael Czaplik and Siying Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Timo Jaeschke

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timo Jaeschke Germany 17 872 491 352 105 64 48 1.2k
Shiyou Wu China 16 391 0.4× 555 1.1× 485 1.4× 43 0.4× 39 0.6× 65 842
Mario Pauli Germany 20 897 1.0× 333 0.7× 506 1.4× 88 0.8× 38 0.6× 70 1.2k
José Á. Martínez-Lorenzo United States 17 419 0.5× 413 0.8× 317 0.9× 83 0.8× 42 0.7× 100 843
Steffen Scherr Germany 13 498 0.6× 278 0.6× 263 0.7× 67 0.6× 37 0.6× 35 712
Quanhua Liu China 20 301 0.3× 536 1.1× 1.0k 2.9× 46 0.4× 24 0.4× 121 1.5k
M. D’Urso Italy 24 832 1.0× 583 1.2× 1.1k 3.0× 139 1.3× 127 2.0× 93 1.8k
R.T. Hoctor United States 10 570 0.7× 229 0.5× 611 1.7× 62 0.6× 34 0.5× 26 1.0k
Thomas Musch Germany 17 1.2k 1.4× 389 0.8× 286 0.8× 202 1.9× 154 2.4× 178 1.4k
Stefan Scheiblhofer Austria 16 515 0.6× 403 0.8× 366 1.0× 97 0.9× 72 1.1× 54 867
Akanksha Bhutani Germany 15 618 0.7× 198 0.4× 379 1.1× 52 0.5× 26 0.4× 76 820

Countries citing papers authored by Timo Jaeschke

Since Specialization
Citations

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

Fields of papers citing papers by Timo Jaeschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Jaeschke

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Jaeschke. A scholar is included among the top collaborators of Timo Jaeschke 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 Timo Jaeschke. Timo Jaeschke 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.
Jaeschke, Timo, et al.. (2023). Deep Learning-Based Material Characterization Using FMCW Radar With Open-Set Recognition Technique. IEEE Transactions on Microwave Theory and Techniques. 71(11). 4628–4638. 4 indexed citations
3.
Jaeschke, Timo, et al.. (2023). Fine Hand Gesture Recognition Using D-band FMCW Radar. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 246–249. 1 indexed citations
4.
Kueppers, Simon, et al.. (2022). Distance Measurement Using mmWave Radar: Micron Accuracy at Medium Range. IEEE Transactions on Microwave Theory and Techniques. 70(11). 5259–5270. 25 indexed citations
5.
Kueppers, Simon, Timo Jaeschke, Nils Pohl, & Jan Barowski. (2021). Versatile 126–182 GHz UWB D-Band FMCW Radar for Industrial and Scientific Applications. IEEE Sensors Letters. 6(1). 1–4. 44 indexed citations
6.
Jaeschke, Timo, et al.. (2020). A Fully Integrated SiGe Radar Sensor for Aerosol Flow Rate Measurements. IEEE Microwave and Wireless Components Letters. 30(2). 216–218. 9 indexed citations
7.
Jaeschke, Timo, et al.. (2019). Enabling High Accuracy Distance Measurements With FMCW Radar Sensors. IEEE Transactions on Microwave Theory and Techniques. 67(12). 5360–5371. 94 indexed citations
8.
Jaeschke, Timo, et al.. (2019). An Unambiguous Phase-Based Algorithm for Single-Digit Micron Accuracy Distance Measurements using FMCW Radar. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 552–555. 9 indexed citations
9.
Schulz, Christian, et al.. (2018). RCS Investigation of Tetrahedral Aligned Sphere Targets for Radar Positioning. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2285–2286. 1 indexed citations
10.
Baer, Christoph, et al.. (2016). Gas Flow Monitoring in High and Low Reynolds Regimes Based on Compensated FMCW-Radar Phase Measurements. Frequenz. 71(3-4). 4 indexed citations
11.
Jaeschke, Timo, et al.. (2016). A SiGe Fractional-${ N}$ Frequency Synthesizer for mm-Wave Wideband FMCW Radar Transceivers. IEEE Transactions on Microwave Theory and Techniques. 64(3). 847–858. 68 indexed citations
12.
Ayhan, Serdal, Mario Pauli, Steffen Scherr, et al.. (2016). Millimeter-Wave Radar Sensor for Snow Height Measurements. IEEE Transactions on Geoscience and Remote Sensing. 55(2). 854–861. 15 indexed citations
13.
Jaeschke, Timo, et al.. (2015). 3D SAR imaging for dry wall inspection using an 80 GHz FMCW radar with 25 GHz bandwidth. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 12 indexed citations
14.
Jaeschke, Timo, Christian Bredendiek, & Nils Pohl. (2014). 3D FMCW SAR Imaging based on a 240 GHz SiGe Transceiver Chip with Integrated Antennas. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 16 indexed citations
15.
Moll, Jochen, et al.. (2014). Luggage Scanning at 80 GHz for Harbor Environments. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 8 indexed citations
16.
Jaeschke, Timo, et al.. (2014). High-Precision D-Band FMCW-Radar Sensor Based on a Wideband SiGe-Transceiver MMIC. IEEE Transactions on Microwave Theory and Techniques. 62(12). 3582–3597. 139 indexed citations
17.
Jaeschke, Timo, Christian Bredendiek, & Nils Pohl. (2014). SiGe-MMIC based D-Band radar for accurate FMCW multi-target vibration measurements. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4. 7 indexed citations
18.
Pohl, Nils, Timo Jaeschke, & Michael Vogt. (2013). An SiGe-chip-based 80 GHz FMCW-radar system with 25 GHz bandwidth for high resolution imaging. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1. 239–244. 16 indexed citations
19.
Pohl, Nils, Timo Jaeschke, & Michael Vogt. (2012). Ultra high resolution SAR imaging using an 80 GHz FMCW-radar with 25 GHz bandwidth. 189–192. 9 indexed citations
20.
Bredendiek, Christian, Nils Pohl, Timo Jaeschke, et al.. (2012). A 24GHz wideband single-channel SiGe bipolar transceiver chip for monostatic FMCW radar systems. European Microwave Integrated Circuit Conference. 309–312. 11 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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