Michael Everett
Impact in
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Reinforcement Learning in Robotics 6
- Adversarial Robustness in Machine Learning 5
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- Autonomous Vehicle Technology and Safety 8
- Co-authors
- Jonathan P. How (15 shared papers)Yu Fan Chen (2 shared papers)Miao Liu (3 shared papers)Brett T. Lopez (3 shared papers)Jesus Tordesillas (1 shared paper)Javier Alonso–Mora (1 shared paper)Bruno Brito (1 shared paper)Jonathan Fink (1 shared paper)
- Journals
- IEEE Control Systems Letters (2 papers)IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics (2 papers)IEEE Access (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Michael Everett
25 papers receiving 958 citations
Michael Everett's Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 572
- Automotive Engineering 272
- Ocean Engineering 193
- Artificial Intelligence 383
- Aerospace Engineering 220
Countries citing papers authored by Michael Everett
This map shows the geographic impact of Michael Everett'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 Michael Everett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Everett more than expected).
Fields of papers citing papers by Michael Everett
This network shows the impact of papers produced by Michael Everett. 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 Michael Everett. The network helps show where Michael Everett may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Everett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Socially aware motion planning with deep reinforcement learning Hit paper breakdown → | 2017 | 469 |
| 2 | 2021 | 134 | |
| 3 | 2021 | 107 | |
| 4 | 2021 | 51 | |
| 5 | 2022 | 38 | |
| 6 | 2023 | 28 | |
| 7 | 2024 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2008 | 20 | |
| 10 | 2013 | 17 | |
| 11 | 2022 | 15 | |
| 12 | A Passive Approach to Autonomous Collision Detection and Avoidance in Uninhabited Aerial Systems. | 2008 | 12 |
| 13 | 2006 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2006 | 5 | |
| 18 | 2017 | 3 | |
| 19 | 2023 | 3 | |
| 20 | UAV collision avoidance - state of the art and possible solutions. | 2007 | 2 |
About Michael Everett
Michael Everett is a scholar working on Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 26 papers that have together received 994 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Autonomous Vehicle Technology and Safety (8 papers), Reinforcement Learning in Robotics (6 papers), Robotics and Sensor-Based Localization (5 papers), Adversarial Robustness in Machine Learning (5 papers), Cardiac Arrest and Resuscitation (3 papers), Fault Detection and Control Systems (3 papers) and Air Traffic Management and Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (572 citations), Automotive Engineering (272 citations), Ocean Engineering (193 citations), Artificial Intelligence (383 citations) and Aerospace Engineering (220 citations). Michael Everett has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jonathan P. How, Yu Fan Chen, Miao Liu, Brett T. Lopez, Jesus Tordesillas, Javier Alonso–Mora, Bruno Brito, Jonathan Fink, Philip R. Osteen and Gang Leng. Their work appears in journals such as IEEE Control Systems Letters, IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, IEEE Access 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.