Julian Nubert
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Control Systems and Identification
Papers in
-
- Advanced Control Systems Optimization 2
- Fault Detection and Control Systems 2
- Iterative Learning Control Systems 2
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- Robotic Path Planning Algorithms 3
- Co-authors
- Frank Allgöwer (1 shared paper)Johannes Köhler (1 shared paper)Vincent Berenz (1 shared paper)Sebastian Trimpe (2 shared papers)Marco Hutter (8 shared papers)Shehryar Khattak (4 shared papers)Mayank Mittal (1 shared paper)Fan Yang (1 shared paper)
- Journals
- IEEE Transactions on Robotics (2 papers)IEEE Robotics and Automation Letters (1 paper)ArXiv.org (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Julian Nubert
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 43
- Geology 38
- Control and Systems Engineering 135
- Computer Vision and Pattern Recognition 69
- Aerospace Engineering 75
- Instrumentation 7
Countries citing papers authored by Julian Nubert
This map shows the geographic impact of Julian Nubert'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 Julian Nubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Nubert more than expected).
Fields of papers citing papers by Julian Nubert
This network shows the impact of papers produced by Julian Nubert. 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 Julian Nubert. The network helps show where Julian Nubert may publish in the future.
Co-authors
The 20 scholars most cited alongside Julian Nubert, 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 | 2020 | 146 | |
| 2 | 2023 | 52 | |
| 3 | 2022 | 32 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 15 | |
| 6 | 2025 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2026 | 0 |
About Julian Nubert
Julian Nubert is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Aerospace Engineering and Automotive Engineering, having authored 11 papers that have together received 277 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Control Systems Optimization (2 papers), Hydraulic and Pneumatic Systems (2 papers), Fault Detection and Control Systems (2 papers), Iterative Learning Control Systems (2 papers), 3D Surveying and Cultural Heritage (1 paper) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Geology (38 citations), Control and Systems Engineering (135 citations), Computer Vision and Pattern Recognition (69 citations), Aerospace Engineering (75 citations) and Instrumentation (7 citations). Julian Nubert has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Frank Allgöwer, Johannes Köhler, Vincent Berenz, Sebastian Trimpe, Marco Hutter, Shehryar Khattak, Mayank Mittal, Fan Yang, David D. Fan and Deegan Atha. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, ArXiv.org, Repository for Publications and Research Data (ETH Zurich) and 2022 International Conference on Robotics and Automation (ICRA).
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.