Peter Ondrúška

1.9k total citations
13 papers, 429 citations indexed

About

Peter Ondrúška is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Peter Ondrúška has authored 13 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Peter Ondrúška's work include Autonomous Vehicle Technology and Safety (7 papers), Traffic Prediction and Management Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). Peter Ondrúška is often cited by papers focused on Autonomous Vehicle Technology and Safety (7 papers), Traffic Prediction and Management Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). Peter Ondrúška collaborates with scholars based in United Kingdom, United States and Italy. Peter Ondrúška's co-authors include Ingmar Posner, Dominic Zeng Wang, Dushyant Rao, Markus Wulfmeier, Pushmeet Kohli, Shahram Izadi, Julie Dequaire, Hugo Grimmett, Błażej Osiński and Yawei Ye and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Visualization and Computer Graphics and arXiv (Cornell University).

In The Last Decade

Peter Ondrúška

13 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Ondrúška United Kingdom 9 202 188 99 99 73 13 429
Manato Hirabayashi Japan 6 195 1.0× 196 1.0× 63 0.6× 99 1.0× 82 1.1× 16 496
Abraham Monrroy Japan 6 223 1.1× 232 1.2× 63 0.6× 151 1.5× 81 1.1× 10 574
Yifeng Shi China 10 388 1.9× 177 0.9× 78 0.8× 127 1.3× 45 0.6× 18 575
Kyounghwan An South Korea 8 215 1.1× 185 1.0× 44 0.4× 104 1.1× 81 1.1× 10 423
Luis Yoichi Morales Japan 12 200 1.0× 144 0.8× 44 0.4× 203 2.1× 64 0.9× 22 401
Yuki Kitsukawa Japan 5 148 0.7× 182 1.0× 58 0.6× 119 1.2× 77 1.1× 8 439
Jamil Fayyad Canada 5 145 0.7× 121 0.6× 77 0.8× 100 1.0× 41 0.6× 10 360
Yihan Hu China 4 263 1.3× 169 0.9× 102 1.0× 87 0.9× 44 0.6× 8 470
Amaury Nègre France 8 163 0.8× 223 1.2× 58 0.6× 92 0.9× 82 1.1× 21 382
Véronique Cherfaoui France 11 145 0.7× 111 0.6× 94 0.9× 108 1.1× 37 0.5× 29 327

Countries citing papers authored by Peter Ondrúška

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Ondrúška

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Ondrúška. A scholar is included among the top collaborators of Peter Ondrúška based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Ondrúška. Peter Ondrúška is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Ye, Yawei, Ana Ferreira, Błażej Osiński, et al.. (2022). SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. 2022 International Conference on Robotics and Automation (ICRA). 897–904. 42 indexed citations
2.
Chen, Long, Błażej Osiński, Yawei Ye, et al.. (2021). What data do we need for training an AV motion planner?. 1066–1072. 7 indexed citations
3.
Bergamini, Luca, et al.. (2021). Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. arXiv (Cornell University). 2 indexed citations
4.
Houston, John A., Guido Zuidhof, Luca Bergamini, et al.. (2020). One Thousand and One Hours: Self-driving Motion Prediction Dataset. arXiv (Cornell University). 409–418. 2 indexed citations
5.
Dabisias, Giacomo, Emanuele Ruffaldi, Hugo Grimmett, & Peter Ondrúška. (2018). VALUE: Large Scale Voting-Based Automatic Labelling for Urban Environments. abs 1608 6993. 1–6. 1 indexed citations
6.
Grimmett, Hugo, et al.. (2018). Predicting trajectories of vehicles using large-scale motion priors. 1639–1644. 9 indexed citations
7.
Wulfmeier, Markus, Dushyant Rao, Dominic Zeng Wang, Peter Ondrúška, & Ingmar Posner. (2017). Large-scale cost function learning for path planning using deep inverse reinforcement learning. The International Journal of Robotics Research. 36(10). 1073–1087. 123 indexed citations
8.
Dequaire, Julie, Peter Ondrúška, Dushyant Rao, Dominic Zeng Wang, & Ingmar Posner. (2017). Deep tracking in the wild: End-to-end tracking using recurrent neural networks. The International Journal of Robotics Research. 37(4-5). 492–512. 67 indexed citations
9.
Wulfmeier, Markus, Peter Ondrúška, & Ingmar Posner. (2015). Deep Inverse Reinforcement Learning.. arXiv (Cornell University). 21 indexed citations
10.
Ondrúška, Peter, Pushmeet Kohli, & Shahram Izadi. (2015). MobileFusion: Real-Time Volumetric Surface Reconstruction and Dense Tracking on Mobile Phones. IEEE Transactions on Visualization and Computer Graphics. 21(11). 1251–1258. 81 indexed citations
11.
Ondrúška, Peter, et al.. (2015). Scheduled perception for energy-efficient path following. 4799–4806. 20 indexed citations
12.
Ondrúška, Peter & Ingmar Posner. (2014). Probabilistic attainability maps: Efficiently predicting driver-specific electric vehicle range. 1169–1174. 34 indexed citations
13.
Ondrúška, Peter & Ingmar Posner. (2014). The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range. Proceedings of the International Conference on Automated Planning and Scheduling. 24. 413–420. 20 indexed citations

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.

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