Florian Tschopp
Impact in
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- 3D Surveying and Cultural Heritage
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- Robotic Path Planning Algorithms
Papers in
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- Robotics and Sensor-Based Localization 8
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- Advanced Vision and Imaging 4
- Optical measurement and interference techniques 2
- Co-authors
- Roland Siegwart (11 shared papers)César Cadena (8 shared papers)Victor Klemm (1 shared paper)Florian Weber (1 shared paper)Karen Bodie (1 shared paper)Juan Nieto (4 shared papers)Andrei Cramariuc (6 shared papers)Andrew W. Palmer (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Sensors (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)Repository for Publications and Research Data (ETH Zurich) (4 papers)
- Partner nations
- SwitzerlandGermany
In The Last Decade
Florian Tschopp
11 papers receiving 268 citations
Peers
Comparison fields: 5 of 51
- Geology 24
- Computer Vision and Pattern Recognition 80
- Control and Systems Engineering 88
- Aerospace Engineering 83
- Biomedical Engineering 127
Countries citing papers authored by Florian Tschopp
This map shows the geographic impact of Florian Tschopp'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 Florian Tschopp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Tschopp more than expected).
Fields of papers citing papers by Florian Tschopp
This network shows the impact of papers produced by Florian Tschopp. 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 Florian Tschopp. The network helps show where Florian Tschopp may publish in the future.
Co-authors
The 21 scholars most cited alongside Florian Tschopp, 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 | 2019 | 153 | |
| 2 | 2022 | 37 | |
| 3 | 2019 | 32 | |
| 4 | 2021 | 18 | |
| 5 | 2015 | 11 | |
| 6 | 2022 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2023 | 0 |
About Florian Tschopp
Florian Tschopp is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Automotive Engineering and Media Technology, having authored 12 papers that have together received 275 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Vision and Imaging (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Optical measurement and interference techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers), Image Processing Techniques and Applications (2 papers), Electric Vehicles and Infrastructure (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Geology (24 citations), Computer Vision and Pattern Recognition (80 citations), Control and Systems Engineering (88 citations), Aerospace Engineering (83 citations) and Biomedical Engineering (127 citations). Florian Tschopp has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Roland Siegwart, César Cadena, Victor Klemm, Florian Weber, Karen Bodie, Juan Nieto, Andrei Cramariuc, Andrew W. Palmer, Marius Fehr and Lukas Bernreiter. Their work appears in journals such as IEEE Robotics and Automation Letters, Sensors, SAE technical papers on CD-ROM/SAE technical paper series, 2022 International Conference on Robotics and Automation (ICRA) and Repository for Publications and Research Data (ETH Zurich).
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.