Mathias Bürki
Impact in
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- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Robotics and Sensor-Based Localization 11
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- Advanced Image and Video Retrieval Techniques 6
- Optical measurement and interference techniques 1
- Advanced Vision and Imaging 1
- Robotic Path Planning Algorithms 1
- Co-authors
- Roland Siegwart (10 shared papers)Paul Furgale (2 shared papers)César Cadena (5 shared papers)Igor Gilitschenski (4 shared papers)Juan Nieto (5 shared papers)Renaud Dubé (3 shared papers)Roland Philippsen (1 shared paper)Michael Bosse (1 shared paper)
- Journals
- Journal of Field Robotics (2 papers)Case Reports in Neurology (1 paper)Repository for Publications and Research Data (ETH Zurich) (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Mathias Bürki
12 papers receiving 259 citations
Peers
Comparison fields: 5 of 27
- Computer Vision and Pattern Recognition 209
- Aerospace Engineering 236
- Geology 34
- Environmental Engineering 32
- Automotive Engineering 18
Countries citing papers authored by Mathias Bürki
This map shows the geographic impact of Mathias Bürki'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 Mathias Bürki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Bürki more than expected).
Fields of papers citing papers by Mathias Bürki
This network shows the impact of papers produced by Mathias Bürki. 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 Mathias Bürki. The network helps show where Mathias Bürki may publish in the future.
Co-authors
The 23 scholars most cited alongside Mathias Bürki, 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 | 2015 | 73 | |
| 2 | 2019 | 43 | |
| 3 | 2014 | 37 | |
| 4 | 2016 | 26 | |
| 5 | 2018 | 24 | |
| 6 | 2016 | 21 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 10 | |
| 10 | Fast and Accurate Mapping for Autonomous Racing. | 2020 | 2 |
| 11 | 2020 | 2 | |
| 12 | 2018 | 1 |
About Mathias Bürki
Mathias Bürki is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Geology and Automotive Engineering, having authored 12 papers that have together received 270 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Advanced Image and Video Retrieval Techniques (6 papers), Indoor and Outdoor Localization Technologies (5 papers), 3D Surveying and Cultural Heritage (2 papers), Optical measurement and interference techniques (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Advanced Vision and Imaging (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Aerospace Engineering (236 citations), Geology (34 citations), Environmental Engineering (32 citations) and Automotive Engineering (18 citations). Mathias Bürki has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Roland Siegwart, Paul Furgale, César Cadena, Igor Gilitschenski, Juan Nieto, Renaud Dubé, Roland Philippsen, Michael Bosse, Lukas Schaupp and Elena Stumm. Their work appears in journals such as Journal of Field Robotics, Case Reports in Neurology, Repository for Publications and Research Data (ETH Zurich) and arXiv (Cornell University).
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.