Blake Wulfe
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Traffic control and management
Papers in
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- Autonomous Vehicle Technology and Safety 5
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- Traffic control and management 3
- Robot Manipulation and Learning 1
- Co-authors
- Mykel J. Kochenderfer (3 shared papers)Ransalu Senanayake (1 shared paper)Alex Kuefler (1 shared paper)Jeremy Morton (1 shared paper)Adrien Gaidon (2 shared papers)Pavel Tokmakov (1 shared paper)Kuan-Hui Lee (1 shared paper)Marco Pavone (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Journal of Aerospace Information Systems (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Blake Wulfe
5 papers receiving 123 citations
Peers
Comparison fields: 5 of 26
- Automotive Engineering 74
- Control and Systems Engineering 46
- Safety, Risk, Reliability and Quality 18
- Computer Vision and Pattern Recognition 40
- Building and Construction 24
Countries citing papers authored by Blake Wulfe
This map shows the geographic impact of Blake Wulfe'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 Blake Wulfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake Wulfe more than expected).
Fields of papers citing papers by Blake Wulfe
This network shows the impact of papers produced by Blake Wulfe. 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 Blake Wulfe. The network helps show where Blake Wulfe may publish in the future.
Co-authors
The 14 scholars most cited alongside Blake Wulfe, 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 | 2022 | 80 | |
| 2 | 2022 | 29 | |
| 3 | 2022 | 8 | |
| 4 | 2016 | 8 | |
| 5 | 2018 | 5 | |
| 6 | 2025 | 1 |
About Blake Wulfe
Blake Wulfe is a scholar working on Automotive Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Aerospace Engineering, having authored 6 papers that have together received 131 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Traffic control and management (3 papers), Traffic and Road Safety (3 papers), Air Traffic Management and Optimization (2 papers), Robot Manipulation and Learning (1 paper), Social Robot Interaction and HRI (1 paper), AI-based Problem Solving and Planning (1 paper) and Aerospace and Aviation Technology (1 paper). The work is most often cited by research in Automotive Engineering (74 citations), Control and Systems Engineering (46 citations), Safety, Risk, Reliability and Quality (18 citations), Computer Vision and Pattern Recognition (40 citations) and Building and Construction (24 citations). Blake Wulfe has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mykel J. Kochenderfer, Ransalu Senanayake, Alex Kuefler, Jeremy Morton, Adrien Gaidon, Pavel Tokmakov, Kuan-Hui Lee, Marco Pavone, Boris Ivanovic and Michael P. Owen. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Transportation Systems, Journal of Aerospace Information Systems, 2022 International Conference on Robotics and Automation (ICRA) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.