Elia Kaufmann
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 12
- Advanced Vision and Imaging 4
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- Robotics and Sensor-Based Localization 9
- Co-authors
- Davide Scaramuzza (18 shared papers)Antonio Loquercio (7 shared papers)Leonard Bauersfeld (6 shared papers)Vladlen Koltun (4 shared papers)Yunlong Song (7 shared papers)Sihao Sun (3 shared papers)Matthias Müller (3 shared papers)Philipp Foehn (3 shared papers)
- Journals
- IEEE Transactions on Robotics (3 papers)IEEE Robotics and Automation Letters (3 papers)Nature (1 paper)Science Robotics (1 paper)International Journal of Modern Physics B (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Elia Kaufmann
19 papers receiving 1.3k citations
Elia Kaufmann's Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 615
- Aerospace Engineering 527
- Control and Systems Engineering 454
- Automotive Engineering 173
- Artificial Intelligence 339
Countries citing papers authored by Elia Kaufmann
This map shows the geographic impact of Elia Kaufmann'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 Elia Kaufmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elia Kaufmann more than expected).
Fields of papers citing papers by Elia Kaufmann
This network shows the impact of papers produced by Elia Kaufmann. 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 Elia Kaufmann. The network helps show where Elia Kaufmann may publish in the future.
Co-authors
The 22 scholars most cited alongside Elia Kaufmann, 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 | Champion-level drone racing using deep reinforcement learning Hit paper breakdown → | 2023 | 286 |
| 2 | 2019 | 161 | |
| 3 | 2017 | 148 | |
| 4 | A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight Hit paper breakdown → | 2022 | 135 |
| 5 | 2021 | 128 | |
| 6 | 2021 | 86 | |
| 7 | Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms Hit paper breakdown → | 2023 | 86 |
| 8 | 2022 | 71 | |
| 9 | 2021 | 49 | |
| 10 | 2022 | 48 | |
| 11 | 2022 | 38 | |
| 12 | 2024 | 37 | |
| 13 | 2021 | 22 | |
| 14 | 2023 | 13 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 1991 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 1 |
About Elia Kaufmann
Elia Kaufmann is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Automotive Engineering and Control and Systems Engineering, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (9 papers), Reinforcement Learning in Robotics (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Advanced Vision and Imaging (4 papers), Advanced Control Systems Optimization (3 papers), Adaptive Control of Nonlinear Systems (3 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (615 citations), Aerospace Engineering (527 citations), Control and Systems Engineering (454 citations), Automotive Engineering (173 citations) and Artificial Intelligence (339 citations). Elia Kaufmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Davide Scaramuzza, Antonio Loquercio, Leonard Bauersfeld, Vladlen Koltun, Yunlong Song, Sihao Sun, Matthias Müller, Philipp Foehn, Titus Cieslewski and Ángel Romero. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, Nature, Science Robotics and International Journal of Modern Physics B.
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.