Olov Andersson
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 12
- Multimodal Machine Learning Applications 3
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- Reinforcement Learning in Robotics 7
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Roland Siegwart (14 shared papers)Patrick Doherty (6 shared papers)Mariusz Wzorek (2 shared papers)Mihir Dharmadhikari (1 shared paper)Frank Mascarich (1 shared paper)Shehryar Khattak (1 shared paper)Takahiro Miki (1 shared paper)Marco Hutter (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics (2 papers)Quarterly Journal of the Royal Meteorological Society (1 paper)Science Robotics (1 paper)Uncertainty in Artificial Intelligence (1 paper)
- Partner nations
- SwedenSwitzerlandUnited States
In The Last Decade
Olov Andersson
22 papers receiving 381 citations
Olov Andersson's Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 186
- Aerospace Engineering 178
- Geology 32
- Control and Systems Engineering 102
- Automotive Engineering 29
Countries citing papers authored by Olov Andersson
This map shows the geographic impact of Olov Andersson'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 Olov Andersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olov Andersson more than expected).
Fields of papers citing papers by Olov Andersson
This network shows the impact of papers produced by Olov Andersson. 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 Olov Andersson. The network helps show where Olov Andersson may publish in the future.
Co-authors
The 25 scholars most cited alongside Olov Andersson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CERBERUS in the DARPA Subterranean Challenge Hit paper breakdown → | 2022 | 163 |
| 2 | 2023 | 41 | |
| 3 | 2016 | 30 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 27 | |
| 6 | 2022 | 17 | |
| 7 | 2015 | 17 | |
| 8 | 2024 | 16 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 5 | |
| 14 | Real-Time Robotic Search using Structural Spatial Point Processes | 2019 | 4 |
| 15 | 2023 | 4 | |
| 16 | Deep RL for autonomous robots: limitations and safety challenges. | 2019 | 3 |
| 17 | 2022 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Olov Andersson
Olov Andersson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Biomedical Engineering, having authored 26 papers that have together received 397 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (12 papers), Reinforcement Learning in Robotics (7 papers), Robotics and Sensor-Based Localization (6 papers), Multimodal Machine Learning Applications (3 papers), Robot Manipulation and Learning (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Aerospace Engineering (178 citations), Geology (32 citations), Control and Systems Engineering (102 citations) and Automotive Engineering (29 citations). Olov Andersson has collaborated with scholars based in Sweden, Switzerland and United States. Frequent co-authors include Roland Siegwart, Patrick Doherty, Mariusz Wzorek, Mihir Dharmadhikari, Frank Mascarich, Shehryar Khattak, Takahiro Miki, Marco Hutter, Lukas Bernreiter and Kostas Alexis. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Quarterly Journal of the Royal Meteorological Society, Science Robotics and Uncertainty in Artificial Intelligence.
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.