Ronny Stricker
Impact in
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- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
- Concrete Corrosion and Durability
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
Papers in
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- Infrastructure Maintenance and Monitoring 5
- Asphalt Pavement Performance Evaluation 4
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- Video Surveillance and Tracking Methods 2
- Robotic Path Planning Algorithms 2
- Advanced Neural Network Applications 2
- Co-authors
- Horst–Michael Groß (10 shared papers)Steffen Müller (3 shared papers)Klaus Debes (4 shared papers)Markus Eisenbach (6 shared papers)Daniel Seichter (5 shared papers)Karl Amende (1 shared paper)E. Einhorn (2 shared papers)Christian Martín (2 shared papers)
- Journals
- Common Library Network (Der Gemeinsame Bibliotheksverbund) (3 papers)
In The Last Decade
Ronny Stricker
11 papers receiving 689 citations
Ronny Stricker's Hit Papers
Peers
Comparison fields: 5 of 52
- Civil and Structural Engineering 358
- Cardiology and Cardiovascular Medicine 176
- Biomedical Engineering 242
- Industrial and Manufacturing Engineering 42
- Ocean Engineering 63
Countries citing papers authored by Ronny Stricker
This map shows the geographic impact of Ronny Stricker'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 Ronny Stricker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronny Stricker more than expected).
Fields of papers citing papers by Ronny Stricker
This network shows the impact of papers produced by Ronny Stricker. 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 Ronny Stricker. The network helps show where Ronny Stricker may publish in the future.
Co-authors
The 10 scholars most cited alongside Ronny Stricker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | How to get pavement distress detection ready for deep learning? A systematic approach Hit paper breakdown → | 2017 | 281 |
| 2 | 2014 | 260 | |
| 3 | 2019 | 55 | |
| 4 | 2012 | 49 | |
| 5 | 2021 | 20 | |
| 6 | 2012 | 17 | |
| 7 | 2018 | 11 | |
| 8 | Realtime user attention and emotion estimation on a mobile robot | 2010 | 5 |
| 9 | Enhancing the Quality of Visual Road Condition Assessment by Deep Learning | 2019 | 4 |
| 10 | 2015 | 3 | |
| 11 | 2019 | 1 | |
| 12 | Speeding up Deep Neural Networks on the Jetson TX1 | 2018 | 1 |
About Ronny Stricker
Ronny Stricker is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Social Psychology, Ocean Engineering and Environmental Engineering, having authored 12 papers that have together received 707 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (5 papers), Asphalt Pavement Performance Evaluation (4 papers), Video Surveillance and Tracking Methods (2 papers), IoT-based Smart Home Systems (2 papers), Remote Sensing and LiDAR Applications (2 papers), Robotic Path Planning Algorithms (2 papers), Social Robot Interaction and HRI (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Civil and Structural Engineering (358 citations), Cardiology and Cardiovascular Medicine (176 citations), Biomedical Engineering (242 citations), Industrial and Manufacturing Engineering (42 citations) and Ocean Engineering (63 citations). Ronny Stricker has collaborated with scholars based in Germany and Austria. Frequent co-authors include Horst–Michael Groß, Steffen Müller, Klaus Debes, Markus Eisenbach, Daniel Seichter, Karl Amende, E. Einhorn, Christian Martín, Michael Volkhardt and Matthias Hahn. Their work appears in journals such as Common Library Network (Der Gemeinsame Bibliotheksverbund).
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.