Brett Bethke
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jonathan P. HowMario ValentiJohn VianGaston FioreÉric FéronDaniela Pucci de FariasLuca F. BertuccelliAsuman Ozdaglar
- Topics
- Reinforcement Learning in Robotics (6 papers)Optimization and Search Problems (3 papers)Autonomous Vehicle Technology and Safety (3 papers)
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- The Journal of the Acoustical Society of AmericaIEEE Robotics & Automation MagazineProceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Partner nations
- United StatesAustralia
In The Last Decade
Brett Bethke
12 papers receiving 437 citations
Peers
Comparison fields: 5 of 52
- Aerospace Engineering 246
- Computer Vision and Pattern Recognition 200
- Computer Networks and Communications 169
- Control and Systems Engineering 126
- Artificial Intelligence 112
Countries citing papers authored by Brett Bethke
This map shows the geographic impact of Brett Bethke'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 Brett Bethke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brett Bethke more than expected).
Fields of papers citing papers by Brett Bethke
This network shows the impact of papers produced by Brett Bethke. 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 Brett Bethke. The network helps show where Brett Bethke may publish in the future.
Co-authorship network of co-authors of Brett Bethke
This figure shows the co-authorship network connecting the top 25 collaborators of Brett Bethke. A scholar is included among the top collaborators of Brett Bethke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brett Bethke. Brett Bethke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 29 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 84 | |
| 9 | 21 | |
| 10 | 55 | |
| 11 | 56 | |
| 12 | 45 | |
| 13 | 132 |
About Brett Bethke
Brett Bethke is a scholar working on Instrumentation, Software and Automotive Engineering, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Optimization and Search Problems (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Aerospace Engineering (246 citations), Computer Vision and Pattern Recognition (200 citations) and Computer Networks and Communications (169 citations). Brett Bethke has collaborated with scholars based in United States and Australia. Frequent co-authors include Jonathan P. How, Mario Valenti, John Vian, Gaston Fiore, Éric Féron, Daniela Pucci de Farias, Luca F. Bertuccelli, Asuman Ozdaglar, Stefan Bieniawski and Joshua Redding. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Robotics & Automation Magazine and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.