Ronny Stricker

1.1k citations
12 papers · 730 · 1 hit paper · h-index 7

Impact in

Papers in

Ronny Stricker

11 papers receiving 714 citations

Ronny Stricker's Hit Papers

How to get pavement distress detection ready for deep learning? A systematic approach 2017 · 291 citations
2910+3+6Years since publication50100150200250

Peers

Ronny Stricker
Comparison fields: 5 of 49
  • Civil and Structural Engineering 371
  • Cardiology and Cardiovascular Medicine 171
  • Biomedical Engineering 250
  • Industrial and Manufacturing Engineering 42
  • Geology 23
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Quoc‐Viet Tran Taiwan
C. V. Jiji India
Zohreh Mousavi Iran
Xincheng Cao China
Junaid Mir Pakistan
Majid Moavenian Iran
Rui Cortesão Portugal
Haotian Shi China
Nitish Kumar Switzerland
Gregg Podnar United States
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Citations per field
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Citations per year

Countries citing papers authored by Ronny Stricker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ronny Stricker Line = papers co-authored together Ronny Stricker links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
How to get pavement distress detection ready for deep learning? A systematic approach
Hit paper breakdown →
2017291
2 2014269
3 201957
4 201249
5 202121
6 201217
7 201812
8
Realtime user attention and emotion estimation on a mobile robot
20105
9
Enhancing the Quality of Visual Road Condition Assessment by Deep Learning
20194
10 20153
11 20191
12
Speeding up Deep Neural Networks on the Jetson TX1
20181

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 730 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (5 papers), Asphalt Pavement Performance Evaluation (4 papers), Remote Sensing and LiDAR Applications (2 papers), Robotic Path Planning Algorithms (2 papers), Social Robot Interaction and HRI (2 papers), IoT-based Smart Home Systems (2 papers), Video Surveillance and Tracking Methods (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Civil and Structural Engineering (371 citations), Cardiology and Cardiovascular Medicine (171 citations), Biomedical Engineering (250 citations), Industrial and Manufacturing Engineering (42 citations) and Geology (23 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, Matthias Hahn and Michael Volkhardt. 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.

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