Daniel Seichter
Impact in
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- Infrastructure Maintenance and Monitoring
- Asphalt Pavement Performance Evaluation
- Concrete Corrosion and Durability
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Video Surveillance and Tracking Methods 7
- Human Pose and Action Recognition 6
- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 4
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- Infrastructure Maintenance and Monitoring 4
- Asphalt Pavement Performance Evaluation 3
- Co-authors
- Horst–Michael Groß (15 shared papers)Markus Eisenbach (6 shared papers)Ronny Stricker (5 shared papers)Klaus Debes (2 shared papers)Karl Amende (1 shared paper)Steffen Müller (3 shared papers)Matthias Hahn (1 shared paper)Denise Günther (1 shared paper)
- Journals
- International Journal of Social Robotics (1 paper)Robotics and Autonomous Systems (1 paper)2022 International Joint Conference on Neural Networks (IJCNN) (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)Common Library Network (Der Gemeinsame Bibliotheksverbund) (2 papers)
In The Last Decade
Daniel Seichter
15 papers receiving 428 citations
Daniel Seichter's Hit Papers
Peers
Comparison fields: 5 of 35
- Civil and Structural Engineering 319
- Computer Vision and Pattern Recognition 104
- Industrial and Manufacturing Engineering 49
- Geology 23
- Ocean Engineering 49
Countries citing papers authored by Daniel Seichter
This map shows the geographic impact of Daniel Seichter'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 Daniel Seichter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Seichter more than expected).
Fields of papers citing papers by Daniel Seichter
This network shows the impact of papers produced by Daniel Seichter. 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 Daniel Seichter. The network helps show where Daniel Seichter may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Seichter, 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 | 291 |
| 2 | 2022 | 31 | |
| 3 | 2019 | 21 | |
| 4 | 2021 | 21 | |
| 5 | 2016 | 12 | |
| 6 | 2018 | 12 | |
| 7 | 2016 | 10 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2023 | 5 | |
| 13 | Enhancing the Quality of Visual Road Condition Assessment by Deep Learning | 2019 | 4 |
| 14 | 2020 | 2 | |
| 15 | 2025 | 1 | |
| 16 | Speeding up Deep Neural Networks on the Jetson TX1 | 2018 | 1 |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 |
About Daniel Seichter
Daniel Seichter is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Aerospace Engineering, Control and Systems Engineering and Biomedical Engineering, having authored 18 papers that have together received 440 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers), Advanced Neural Network Applications (6 papers), Infrastructure Maintenance and Monitoring (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers), Asphalt Pavement Performance Evaluation (3 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Civil and Structural Engineering (319 citations), Computer Vision and Pattern Recognition (104 citations), Industrial and Manufacturing Engineering (49 citations), Geology (23 citations) and Ocean Engineering (49 citations). Daniel Seichter has collaborated with scholars based in Germany and Austria. Frequent co-authors include Horst–Michael Groß, Markus Eisenbach, Ronny Stricker, Klaus Debes, Karl Amende, Steffen Müller, Matthias Hahn, Denise Günther, Yvonne Steffen and Andrea Scheidig. Their work appears in journals such as International Journal of Social Robotics, Robotics and Autonomous Systems, 2022 International Joint Conference on Neural Networks (IJCNN), Fraunhofer-Publica (Fraunhofer-Gesellschaft) and 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.