Marius Fehr
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotics and Sensor-Based Localization 12
-
- Advanced Vision and Imaging 7
- Advanced Image and Video Retrieval Techniques 6
- Robotic Path Planning Algorithms 2
- Co-authors
- Roland Siegwart (10 shared papers)Igor Gilitschenski (3 shared papers)Thomas Schneider (2 shared papers)Simon Lynen (2 shared papers)Marcin Dymczyk (2 shared papers)Fadri Furrer (5 shared papers)César Cadena (4 shared papers)Juan Nieto (5 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (1 paper)Repository for Publications and Research Data (ETH Zurich) (3 papers)The international archives of the photogrammetry, remote sensing and spatial information sciences (1 paper)Springer proceedings in advanced robotics (2 papers)
- Partner nations
- SwitzerlandUnited StatesSpain
In The Last Decade
Marius Fehr
12 papers receiving 356 citations
Peers
Comparison fields: 5 of 35
- Geology 90
- Aerospace Engineering 312
- Computer Vision and Pattern Recognition 253
- Environmental Engineering 33
- Ocean Engineering 30
Countries citing papers authored by Marius Fehr
This map shows the geographic impact of Marius Fehr'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 Marius Fehr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Fehr more than expected).
Fields of papers citing papers by Marius Fehr
This network shows the impact of papers produced by Marius Fehr. 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 Marius Fehr. The network helps show where Marius Fehr may publish in the future.
Co-authors
The 20 scholars most cited alongside Marius Fehr, 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 | 2018 | 185 | |
| 2 | 2017 | 55 | |
| 3 | 2022 | 38 | |
| 4 | 2017 | 33 | |
| 5 | 2020 | 29 | |
| 6 | 2018 | 11 | |
| 7 | 2020 | 9 | |
| 8 | 2018 | 6 | |
| 9 | 2016 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 |
About Marius Fehr
Marius Fehr is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Mechanics of Materials, having authored 12 papers that have together received 375 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Advanced Vision and Imaging (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Indoor and Outdoor Localization Technologies (2 papers), Robotic Path Planning Algorithms (2 papers), 3D Surveying and Cultural Heritage (1 paper), Robot Manipulation and Learning (1 paper) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Geology (90 citations), Aerospace Engineering (312 citations), Computer Vision and Pattern Recognition (253 citations), Environmental Engineering (33 citations) and Ocean Engineering (30 citations). Marius Fehr has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Roland Siegwart, Igor Gilitschenski, Thomas Schneider, Simon Lynen, Marcin Dymczyk, Fadri Furrer, César Cadena, Juan Nieto, Jürgen Sturm and Ivan Dryanovski. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Repository for Publications and Research Data (ETH Zurich), The international archives of the photogrammetry, remote sensing and spatial information sciences and Springer proceedings in advanced robotics.
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.