Lionel Ott
Impact in
-
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
- Aerospace Engineering top 1%
- Robotics and Sensor-Based Localization
- Infrared Target Detection Methodologies
Papers in
-
- Robotic Path Planning Algorithms 12
- Advanced Neural Network Applications 7
- Advanced Vision and Imaging 6
-
- Robotics and Sensor-Based Localization 27
- Co-authors
- Fábio RamosAlex BewleyBen UpcroftZongyuan GeRoland SiegwartJuan NietoLukas SchmidMichael Pantic
- Journals
- IEEE Robotics and Automation Letters (12 papers)The International Journal of Robotics Research (4 papers)Robotics and Autonomous Systems (1 paper)IEEE Transactions on Robotics (1 paper)Autonomous Robots (1 paper)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Lionel Ott
57 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 2.2k
- Aerospace Engineering 878
- Automotive Engineering 404
- Safety, Risk, Reliability and Quality 214
- Artificial Intelligence 536
Countries citing papers authored by Lionel Ott
This map shows the geographic impact of Lionel Ott'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 Lionel Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lionel Ott more than expected).
Fields of papers citing papers by Lionel Ott
This network shows the impact of papers produced by Lionel Ott. 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 Lionel Ott. The network helps show where Lionel Ott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lionel Ott, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 61 | |
| 11 | 2022 | 4 | |
| 12 | No-Regret Approximate Inference via Bayesian Optimisation | 2021 | 1 |
| 13 | 2021 | 4 | |
| 14 | 2020 | 8 | |
| 15 | Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction | 2019 | 2 |
| 16 | Simple online and realtime tracking Hit paper breakdown → | 2016 | 2225 |
| 17 | Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments | 2016 | 10 |
| 18 | 2016 | 4 | |
| 19 | On Integrated Clustering and Outlier Detection | 2014 | 15 |
| 20 | Increasing Crop Yields with Underground Asphalt Moisture Barriers | 1967 | 4 |
About Lionel Ott
Lionel Ott is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (27 papers), Robot Manipulation and Learning (12 papers), Robotic Path Planning Algorithms (12 papers), Autonomous Vehicle Technology and Safety (9 papers), Advanced Neural Network Applications (7 papers), Gaussian Processes and Bayesian Inference (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Aerospace Engineering (878 citations), Automotive Engineering (404 citations), Safety, Risk, Reliability and Quality (214 citations) and Artificial Intelligence (536 citations). Lionel Ott has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Fábio Ramos, Alex Bewley, Ben Upcroft, Zongyuan Ge, Roland Siegwart, Juan Nieto, Lukas Schmid, Michael Pantic, Raghav Khanna and César Cadena. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Robotics and Autonomous Systems, IEEE Transactions on Robotics and Autonomous Robots.
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.