Gerhard Tröster

25.2k total citations · 7 hit papers
441 papers, 17.6k citations indexed

About

Gerhard Tröster is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gerhard Tröster has authored 441 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Electrical and Electronic Engineering, 140 papers in Biomedical Engineering and 124 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gerhard Tröster's work include Context-Aware Activity Recognition Systems (95 papers), Thin-Film Transistor Technologies (72 papers) and Advanced Sensor and Energy Harvesting Materials (61 papers). Gerhard Tröster is often cited by papers focused on Context-Aware Activity Recognition Systems (95 papers), Thin-Film Transistor Technologies (72 papers) and Advanced Sensor and Energy Harvesting Materials (61 papers). Gerhard Tröster collaborates with scholars based in Switzerland, Germany and United Kingdom. Gerhard Tröster's co-authors include Daniel Roggen, Paul Lukowicz, Niko Münzenrieder, Oliver Amft, Bert Arnrich, Luisa Petti, Christoph Zysset, Thomas Kinkeldei, Jamie A. Ward and Giovanni A. Salvatore and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Gerhard Tröster

434 papers receiving 16.9k citations

Hit Papers

Metal oxide semiconductor thin-film transis... 2006 2026 2012 2019 2016 2010 2010 2013 2009 100 200 300 400 500

Peers

Gerhard Tröster
Comparison fields: 5 of 192
  • Biomedical Engineering 6.9k
  • Electrical and Electronic Engineering 5.6k
  • Computer Vision and Pattern Recognition 4.4k
  • Human-Computer Interaction 2.4k
  • Cognitive Neuroscience 2.0k
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Citations per field, relative to Gerhard Tröster
Gerhard Tröster · 1×
Citations per year, relative to Gerhard Tröster
Gerhard Tröster · 1×

Countries citing papers authored by Gerhard Tröster

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Tröster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Tröster

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Tröster. A scholar is included among the top collaborators of Gerhard Tröster 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 Tröster. Gerhard Tröster 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
# Work Indexed citations
1 3
2 49
3 6
4 9
5 32
6 59
7 4
8 60
9 26
10 2
11 10
12 17
13 14
14 16
15
Identifying Unique Biomechanical Fingerprints for Rowers and Correlations with Boat Speed - A Data-driven Approach for Rowing Performance Analysis.
5
16 2
17 1
18
Automatic Transfer of Activity Recognition Capabilities between Body-Worn Motion Sensors: Training Newcomers to Recognize Locomotion
33
19
Proceedings of the 3rd European Conference on Smart Sensing and Context
1
20
ROC Analysis of Partitioning Method for Activity Recognition Using Two Microphones
1

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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