Udo Frese
- Aerospace Engineering top 0.5%
- Robotics and Sensor-Based Localization 37
- Inertial Sensor and Navigation 6
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- Robotic Path Planning Algorithms 18
- Advanced Vision and Imaging 7
- Geology top 2%
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- Robot Manipulation and Learning 14
- Human-Computer Interaction top 5%
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- Indoor and Outdoor Localization Technologies 13
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- Target Tracking and Data Fusion in Sensor Networks 12
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- Robotic Locomotion and Control 9
In The Last Decade
Udo Frese
72 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Aerospace Engineering 1.2k
- Computer Vision and Pattern Recognition 920
- Geology 164
- Control and Systems Engineering 564
- Human-Computer Interaction 75
Countries citing papers authored by Udo Frese
This map shows the geographic impact of Udo Frese'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 Udo Frese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udo Frese more than expected).
Fields of papers citing papers by Udo Frese
This network shows the impact of papers produced by Udo Frese. 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 Udo Frese. The network helps show where Udo Frese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Udo Frese, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 0 | |
| 11 | Accurate Detection and Localization of Checkerboard Corners for Calibration. | 2018 | 23 |
| 12 | 2013 | 13 | |
| 13 | A New Library for Real-time Continuous Collision Detection | 2012 | 3 |
| 14 | 2012 | 20 | |
| 15 | 2011 | 5 | |
| 16 | 2011 | 2 | |
| 17 | 2011 | 34 | |
| 18 | 2010 | 144 | |
| 19 | Iterated SLSJF: A sparse local submap joining algorithm with improved consistency | 2008 | 25 |
| 20 | 2006 | 44 |
About Udo Frese
Udo Frese is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Geology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (37 papers), Robotic Path Planning Algorithms (18 papers), Robot Manipulation and Learning (14 papers), Indoor and Outdoor Localization Technologies (13 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers), Robotic Locomotion and Control (9 papers), Advanced Vision and Imaging (7 papers) and Inertial Sensor and Navigation (6 papers). The work is most often cited by research in Aerospace Engineering (1.2k citations), Computer Vision and Pattern Recognition (920 citations), Geology (164 citations), Control and Systems Engineering (564 citations) and Human-Computer Interaction (75 citations). Udo Frese has collaborated with scholars based in Germany, Australia and China. Frequent co-authors include G. Hirzinger, Christoph Hertzberg, Berthold Bäuml, René Wagner, P. Larsson, Tom Duckett, Lutz Schröder, Alin Albu‐Schäffer, Christian Ott and Oliver Birbach. Their work appears in journals such as Sensors, Autonomous Robots, Robotics and Autonomous Systems, Automatica and IEEE Transactions on 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.