Gerhard Troester

1.1k total citations
27 papers, 811 citations indexed

About

Gerhard Troester is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Gerhard Troester has authored 27 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Gerhard Troester's work include Advanced Sensor and Energy Harvesting Materials (7 papers), Wireless Body Area Networks (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Gerhard Troester is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (7 papers), Wireless Body Area Networks (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Gerhard Troester collaborates with scholars based in Switzerland, United States and Germany. Gerhard Troester's co-authors include M. Klemm, Maciej Klemm, Daniel Roggen, Sînziana Mazilu, Meir Plotnik, Jeffrey M. Hausdorff, Michael Hardegger, Holger Harms, Oliver Amft and Christoph Zysset and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Antennas and Propagation and Frontiers in Neuroscience.

In The Last Decade

Gerhard Troester

25 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerhard Troester Switzerland 12 479 329 316 117 96 27 811
Kyoko SHIBATA Japan 14 733 1.5× 107 0.3× 100 0.3× 133 1.1× 284 3.0× 82 971
Michael J. Fu United States 11 231 0.5× 108 0.3× 65 0.2× 75 0.6× 37 0.4× 26 521
Aikaterini D. Koutsou Spain 9 262 0.5× 208 0.6× 57 0.2× 24 0.2× 34 0.4× 21 588
Shuai Cao China 19 555 1.2× 193 0.6× 59 0.2× 59 0.5× 62 0.6× 48 990
Yi Han China 12 171 0.4× 167 0.5× 65 0.2× 124 1.1× 29 0.3× 47 523
José María Sabater-Navarro Spain 20 632 1.3× 308 0.9× 83 0.3× 102 0.9× 7 0.1× 119 1.2k
Miguel Velhote Correia Portugal 15 294 0.6× 52 0.2× 52 0.2× 195 1.7× 61 0.6× 83 746
Bojan Milosevic Italy 14 429 0.9× 109 0.3× 19 0.1× 106 0.9× 60 0.6× 28 735
Joung Hwan Mun South Korea 19 628 1.3× 76 0.2× 39 0.1× 147 1.3× 244 2.5× 71 1.1k
Uriel Martínez-Hernández United Kingdom 22 581 1.2× 51 0.2× 80 0.3× 222 1.9× 120 1.3× 82 1.3k

Countries citing papers authored by Gerhard Troester

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Troester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Troester

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Troester. A scholar is included among the top collaborators of Gerhard Troester 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 Gerhard Troester. Gerhard Troester 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.
Mayer, Philipp, Seunghyun Lee, Michele Magno, et al.. (2019). Flexible and Lightweight Devices for Wireless Multi-Color Optogenetic Experiments Controllable via Commercial Cell Phones. Frontiers in Neuroscience. 13. 819–819. 18 indexed citations
2.
Lee, Chi Hwan, Seung‐Kyun Kang, Giovanni A. Salvatore, et al.. (2015). Transient Electronics: Wireless Microfluidic Systems for Programmed, Functional Transformation of Transient Electronic Devices (Adv. Funct. Mater. 32/2015). Advanced Functional Materials. 25(32). 5077–5077. 4 indexed citations
3.
Lee, Chi Hwan, Seung‐Kyun Kang, Giovanni A. Salvatore, et al.. (2015). Wireless Microfluidic Systems for Programmed, Functional Transformation of Transient Electronic Devices. Advanced Functional Materials. 25(32). 5100–5106. 39 indexed citations
4.
Vogt, Christian, et al.. (2014). A Mechanically Flexible Tilt Switch On Kapton Foil With Microspheres As A Pendulum. 1–4. 2 indexed citations
5.
6.
Kinkeldei, Thomas, et al.. (2013). 2D Thin Film Temperature Sensors Fabricated onto 3D Nylon Yarn Surface for Smart Textile Applications. Research Journal of Textile and Apparel. 17(2). 16–20. 12 indexed citations
7.
Troester, Gerhard, et al.. (2013). Optical bow position, speed and contact point detection. 211–214. 2 indexed citations
8.
Gravenhorst, Franz, et al.. (2013). Validation of a Rowing Oar Angle Measurement System Based on an Inertial Measurement Unit. 1412–1419. 7 indexed citations
9.
Mazilu, Sînziana, Michael Hardegger, Daniel Roggen, et al.. (2012). Online Detection of Freezing of Gait with Smartphones and Machine Learning Techniques. 169 indexed citations
10.
Harms, Holger, Oliver Amft, & Gerhard Troester. (2012). Does loose fitting matter? Predicting sensor performance in smart garments.. 7 indexed citations
11.
Lukowicz, Paul, Gerald Pirkl, David Bannach, et al.. (2010). Recording a Complex, Multi Modal Activity Data Set for Context Recognition. 1–166. 20 indexed citations
12.
Harms, Holger, et al.. (2010). ETHOS: Miniature orientation sensor for wearable human motion analysis. TU/e Research Portal. 1037–1042. 67 indexed citations
13.
Kinkeldei, Thomas, Christoph Zysset, Kunigunde H. Cherenack, & Gerhard Troester. (2009). Development and evaluation of temperature sensors for textile integration. 1580–1583. 32 indexed citations
14.
Stiefmeier, Thomas, Clemens Lombriser, Daniel Roggen, et al.. (2006). Event-Based Activity Tracking in Work Environments. 1–10. 22 indexed citations
15.
Klemm, M. & Gerhard Troester. (2006). Textile UWB Antennas for Wireless Body Area Networks. IEEE Transactions on Antennas and Propagation. 54(11). 3192–3197. 254 indexed citations
16.
Klemm, Maciej & Gerhard Troester. (2005). Characterization of an aperture-stacked patch antenna for ultra-wideband wearable radio systems. Journal of Telecommunications and Information Technology. 39–44. 1 indexed citations
17.
Anliker, U., Paul Lukowicz, Gerhard Troester, Steven J. Schwartz, & R.W. DeVaul. (2002). The WearARM: modular, high performance, low power computing platform designed for integration into everyday clothing. 21. 167–168. 6 indexed citations
18.
Enzler, Rolf, Marco Platzner, Christian Plessl, Lothar Thiele, & Gerhard Troester. (2001). <title>Reconfigurable processors for handhelds and wearables: application analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4525. 135–146. 4 indexed citations
19.
Rothermel, Albrecht, et al.. (1990). BiCMOS circuits for DPCM coders in HDTV systems. 120–121. 1 indexed citations
20.
Troester, Gerhard, et al.. (1988). A BICMOS technology for integrating analog-digital systems. 31. 57–63.

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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