D. Büscher
Impact in
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- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
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- Autonomous Vehicle Technology and Safety
Papers in ⓘ
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- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 1
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Wolfram Burgard (11 shared papers)Alexander Schaefer (3 shared papers)Tim Welschehold (1 shared paper)Tobias Schubert (1 shared paper)Fabian Höflinger (1 shared paper)Tim Caselitz (1 shared paper)Abhinav Valada (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Robotics and Autonomous Systems (1 paper)IEEE Sensors Journal (1 paper)FreiDok plus (Universitätsbibliothek Freiburg) (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
In The Last Decade
D. Büscher
12 papers receiving 99 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 45
- Automotive Engineering 25
- Geology 11
- Aerospace Engineering 43
- Environmental Engineering 22
Countries citing papers authored by D. Büscher
This map shows the geographic impact of D. Büscher'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 D. Büscher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Büscher more than expected).
Fields of papers citing papers by D. Büscher
This network shows the impact of papers produced by D. Büscher. 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 D. Büscher. The network helps show where D. Büscher may publish in the future.
Co-authors
The 7 scholars most cited alongside D. Büscher, 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 | 2020 | 22 | |
| 2 | 2021 | 18 | |
| 3 | 2023 | 18 | |
| 4 | 2022 | 15 | |
| 5 | 2018 | 8 | |
| 6 | 2018 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2010 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2018 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2019 | 1 |
About D. Büscher
D. Büscher is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Automotive Engineering and Control and Systems Engineering, having authored 12 papers that have together received 101 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Remote Sensing and LiDAR Applications (3 papers), Advanced Neural Network Applications (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Advanced Vision and Imaging (2 papers), Gaze Tracking and Assistive Technology (1 paper), Video Surveillance and Tracking Methods (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (45 citations), Automotive Engineering (25 citations), Geology (11 citations), Aerospace Engineering (43 citations) and Environmental Engineering (22 citations). D. Büscher has collaborated with scholars based in Germany and Belgium. Frequent co-authors include Wolfram Burgard, Alexander Schaefer, Tim Welschehold, Tobias Schubert, Fabian Höflinger, Tim Caselitz and Abhinav Valada. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, IEEE Sensors Journal, FreiDok plus (Universitätsbibliothek Freiburg) and 2022 International Conference on Robotics and Automation (ICRA).
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.