Jan Stumpf
Impact in
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
- Guidance and Control Systems
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- Robotic Path Planning Algorithms
Papers in
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- Robotics and Sensor-Based Localization 5
- Inertial Sensor and Navigation 1
- Guidance and Control Systems 1
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- Adaptive Control of Nonlinear Systems 2
- Co-authors
- Daniel Gurdan (7 shared papers)Michael Achtelik (5 shared papers)Iuliu Vasilescu (1 shared paper)Marek Doniec (1 shared paper)Stefan Sosnowski (1 shared paper)Carrick Detweiler (1 shared paper)Daniela Rus (1 shared paper)Samuel Prentice (1 shared paper)
- Journals
- The International Journal of Robotics Research (2 papers)Helvetica Chimica Acta (1 paper)SHILAP Revista de lepidopterología (1 paper)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2 papers)AIAA Guidance, Navigation, and Control Conference (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Jan Stumpf
9 papers receiving 467 citations
Peers
Comparison fields: 5 of 56
- Aerospace Engineering 267
- Computer Vision and Pattern Recognition 179
- Control and Systems Engineering 177
- Ocean Engineering 83
- Computer Networks and Communications 77
Countries citing papers authored by Jan Stumpf
This map shows the geographic impact of Jan Stumpf'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 Jan Stumpf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Stumpf more than expected).
Fields of papers citing papers by Jan Stumpf
This network shows the impact of papers produced by Jan Stumpf. 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 Jan Stumpf. The network helps show where Jan Stumpf may publish in the future.
Co-authors
The 17 scholars most cited alongside Jan Stumpf, 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 | 2007 | 195 | |
| 2 | 2012 | 69 | |
| 3 | 2011 | 57 | |
| 4 | 2011 | 54 | |
| 5 | 2010 | 53 | |
| 6 | 2009 | 35 | |
| 7 | 2012 | 17 | |
| 8 | 1970 | 8 | |
| 9 | 2022 | 2 |
About Jan Stumpf
Jan Stumpf is a scholar working on Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Organic Chemistry and Molecular Biology, having authored 9 papers that have together received 490 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers), Adaptive Control of Nonlinear Systems (2 papers), Inertial Sensor and Navigation (1 paper), Video Surveillance and Tracking Methods (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Guidance and Control Systems (1 paper). The work is most often cited by research in Aerospace Engineering (267 citations), Computer Vision and Pattern Recognition (179 citations), Control and Systems Engineering (177 citations), Ocean Engineering (83 citations) and Computer Networks and Communications (77 citations). Jan Stumpf has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Daniel Gurdan, Michael Achtelik, Iuliu Vasilescu, Marek Doniec, Stefan Sosnowski, Carrick Detweiler, Daniela Rus, Samuel Prentice, Alborz Geramifard and Nicholas Roy. Their work appears in journals such as The International Journal of Robotics Research, Helvetica Chimica Acta, SHILAP Revista de lepidopterología, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems and AIAA Guidance, Navigation, and Control Conference.
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.