Peter Ondrúška
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
-
- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
Papers in
-
- Autonomous Vehicle Technology and Safety 7
-
- Robotic Path Planning Algorithms 2
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 1
- Co-authors
- Ingmar Posner (6 shared papers)Dushyant Rao (2 shared papers)Dominic Zeng Wang (2 shared papers)Markus Wulfmeier (2 shared papers)Pushmeet Kohli (1 shared paper)Shahram Izadi (1 shared paper)Julie Dequaire (1 shared paper)Hugo Grimmett (4 shared papers)
- Journals
- The International Journal of Robotics Research (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)arXiv (Cornell University) (3 papers)Proceedings of the International Conference on Automated Planning and Scheduling (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Peter Ondrúška
13 papers receiving 413 citations
Peers
Comparison fields: 5 of 63
- Automotive Engineering 188
- Computer Vision and Pattern Recognition 202
- Geology 32
- Aerospace Engineering 99
- Control and Systems Engineering 73
Countries citing papers authored by Peter Ondrúška
This map shows the geographic impact of Peter Ondrúška'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 Peter Ondrúška with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ondrúška more than expected).
Fields of papers citing papers by Peter Ondrúška
This network shows the impact of papers produced by Peter Ondrúška. 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 Peter Ondrúška. The network helps show where Peter Ondrúška may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ondrúška, 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 | 2017 | 123 | |
| 2 | 2015 | 81 | |
| 3 | 2017 | 67 | |
| 4 | 2022 | 42 | |
| 5 | 2014 | 34 | |
| 6 | Deep Inverse Reinforcement Learning. | 2015 | 21 |
| 7 | 2015 | 20 | |
| 8 | 2014 | 20 | |
| 9 | 2018 | 9 | |
| 10 | 2021 | 7 | |
| 11 | One Thousand and One Hours: Self-driving Motion Prediction Dataset | 2020 | 2 |
| 12 | 2021 | 2 | |
| 13 | 2018 | 1 |
About Peter Ondrúška
Peter Ondrúška is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Building and Construction, having authored 13 papers that have together received 429 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Robotics and Sensor-Based Localization (3 papers), Traffic Prediction and Management Techniques (3 papers), Reinforcement Learning in Robotics (2 papers), Robotic Path Planning Algorithms (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Automotive Engineering (188 citations), Computer Vision and Pattern Recognition (202 citations), Geology (32 citations), Aerospace Engineering (99 citations) and Control and Systems Engineering (73 citations). Peter Ondrúška has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Ingmar Posner, Dushyant Rao, Dominic Zeng Wang, Markus Wulfmeier, Pushmeet Kohli, Shahram Izadi, Julie Dequaire, Hugo Grimmett, Błażej Osiński and Yawei Ye. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Visualization and Computer Graphics, 2022 International Conference on Robotics and Automation (ICRA), arXiv (Cornell University) and Proceedings of the International Conference on Automated Planning and Scheduling.
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.