Brandon Luders
Impact in
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- Robotic Path Planning Algorithms
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Robotic Path Planning Algorithms 16
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- Robotics and Sensor-Based Localization 6
- Guidance and Control Systems 2
- Co-authors
- Jonathan P. How (18 shared papers)Georges S. Aoude (5 shared papers)Joshua Joseph (2 shared papers)Nicholas Roy (2 shared papers)Daniel S. Levine (4 shared papers)Mangal Kothari (1 shared paper)Sertaç Karaman (3 shared papers)KK Lee (1 shared paper)
- Journals
- Journal of Field Robotics (1 paper)Journal of Guidance Control and Dynamics (1 paper)Autonomous Robots (1 paper)Journal of Aerospace Information Systems (1 paper)IFAC Proceedings Volumes (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Brandon Luders
18 papers receiving 771 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 530
- Automotive Engineering 250
- Aerospace Engineering 319
- Control and Systems Engineering 213
- Safety, Risk, Reliability and Quality 53
Countries citing papers authored by Brandon Luders
This map shows the geographic impact of Brandon Luders'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 Brandon Luders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Luders more than expected).
Fields of papers citing papers by Brandon Luders
This network shows the impact of papers produced by Brandon Luders. 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 Brandon Luders. The network helps show where Brandon Luders may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Luders, 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 | 2013 | 203 | |
| 2 | 2010 | 119 | |
| 3 | 2010 | 77 | |
| 4 | 2013 | 76 | |
| 5 | 2010 | 55 | |
| 6 | 2010 | 47 | |
| 7 | 2010 | 40 | |
| 8 | 2010 | 39 | |
| 9 | 2014 | 28 | |
| 10 | 2016 | 26 | |
| 11 | 2013 | 18 | |
| 12 | 2013 | 17 | |
| 13 | 2010 | 15 | |
| 14 | Probabilistically Safe Avoidance of Dynamic Obstacles with Uncertain Motion Patterns | 2011 | 14 |
| 15 | 2011 | 13 | |
| 16 | 2011 | 8 | |
| 17 | 2014 | 7 | |
| 18 | 2011 | 2 |
About Brandon Luders
Brandon Luders is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 18 papers that have together received 804 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (16 papers), Robotics and Sensor-Based Localization (6 papers), Autonomous Vehicle Technology and Safety (4 papers), Distributed Control Multi-Agent Systems (4 papers), Robot Manipulation and Learning (3 papers), Formal Methods in Verification (3 papers), Guidance and Control Systems (2 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (530 citations), Automotive Engineering (250 citations), Aerospace Engineering (319 citations), Control and Systems Engineering (213 citations) and Safety, Risk, Reliability and Quality (53 citations). Brandon Luders has collaborated with scholars based in United States and Sweden. Frequent co-authors include Jonathan P. How, Georges S. Aoude, Joshua Joseph, Nicholas Roy, Daniel S. Levine, Mangal Kothari, Sertaç Karaman, KK Lee, Emilio Frazzoli and David S. Levine. Their work appears in journals such as Journal of Field Robotics, Journal of Guidance Control and Dynamics, Autonomous Robots, Journal of Aerospace Information Systems and IFAC Proceedings Volumes.
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.