Jan Quenzel
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Advanced Vision and Imaging
Papers in
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- Robotics and Sensor-Based Localization 14
- UAV Applications and Optimization 2
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- Robotic Path Planning Algorithms 4
- Advanced Vision and Imaging 3
- Optical measurement and interference techniques 2
- Image and Object Detection Techniques 2
- Co-authors
- Sven Behnke (16 shared papers)Sebastian Houben (6 shared papers)Martin Garbade (2 shared papers)Andres Milioto (2 shared papers)Jens Behley (2 shared papers)Cyrill Stachniss (2 shared papers)Jürgen Gall (1 shared paper)Marius Beul (4 shared papers)
- Journals
- The International Journal of Robotics Research (1 paper)Journal of Field Robotics (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Robotics and Autonomous Systems (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Jan Quenzel
15 papers receiving 277 citations
Peers
Comparison fields: 5 of 40
- Geology 80
- Computer Vision and Pattern Recognition 175
- Aerospace Engineering 186
- Environmental Engineering 74
- Instrumentation 11
Countries citing papers authored by Jan Quenzel
This map shows the geographic impact of Jan Quenzel'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 Jan Quenzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Quenzel more than expected).
Fields of papers citing papers by Jan Quenzel
This network shows the impact of papers produced by Jan Quenzel. 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 Jan Quenzel. The network helps show where Jan Quenzel may publish in the future.
Co-authors
The 20 scholars most cited alongside Jan Quenzel, 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 | 2021 | 101 | |
| 2 | 2016 | 35 | |
| 3 | 2021 | 34 | |
| 4 | 2018 | 26 | |
| 5 | 2017 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2016 | 11 | |
| 9 | A Dataset for Semantic Segmentation of Point Cloud Sequences | 2019 | 10 |
| 10 | 2023 | 9 | |
| 11 | 2017 | 7 | |
| 12 | 2019 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2024 | 0 |
About Jan Quenzel
Jan Quenzel is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Environmental Engineering, Geology and Control and Systems Engineering, having authored 16 papers that have together received 290 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Remote Sensing and LiDAR Applications (6 papers), 3D Surveying and Cultural Heritage (5 papers), Robotic Path Planning Algorithms (4 papers), Advanced Vision and Imaging (3 papers), Optical measurement and interference techniques (2 papers), Image and Object Detection Techniques (2 papers) and UAV Applications and Optimization (2 papers). The work is most often cited by research in Geology (80 citations), Computer Vision and Pattern Recognition (175 citations), Aerospace Engineering (186 citations), Environmental Engineering (74 citations) and Instrumentation (11 citations). Jan Quenzel has collaborated with scholars based in Germany and United States. Frequent co-authors include Sven Behnke, Sebastian Houben, Martin Garbade, Andres Milioto, Jens Behley, Cyrill Stachniss, Jürgen Gall, Marius Beul, Matthias Nieuwenhuisen and David Droeschel. Their work appears in journals such as The International Journal of Robotics Research, Journal of Field Robotics, Journal of Intelligent & Robotic Systems, Robotics and Autonomous Systems and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.