Ritchie Lee
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Reinforcement Learning in Robotics 6
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- Air Traffic Management and Optimization 5
- Aerospace and Aviation Technology 4
- Co-authors
- Mykel J. Kochenderfer (9 shared papers)Mark Koren (2 shared papers)David H. Wolpert (6 shared papers)Ole J. Mengshoel (6 shared papers)Guillaume Brat (3 shared papers)Robert J. Moss (2 shared papers)Guanhua Yan (1 shared paper)Michael J. Owen (2 shared papers)
- Journals
- Journal of Artificial Intelligence Research (2 papers)Lecture notes in computer science (2 papers)Intelligent systems reference library (1 paper)Studies in computational intelligence (1 paper)AIAA SCITECH 2022 Forum (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Ritchie Lee
25 papers receiving 405 citations
Peers
Comparison fields: 5 of 46
- Software 82
- Automotive Engineering 159
- Safety, Risk, Reliability and Quality 70
- Artificial Intelligence 159
- Control and Systems Engineering 101
Countries citing papers authored by Ritchie Lee
This map shows the geographic impact of Ritchie Lee'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 Ritchie Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritchie Lee more than expected).
Fields of papers citing papers by Ritchie Lee
This network shows the impact of papers produced by Ritchie Lee. 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 Ritchie Lee. The network helps show where Ritchie Lee may publish in the future.
Co-authors
The 23 scholars most cited alongside Ritchie Lee, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 119 | |
| 2 | 2021 | 64 | |
| 3 | 2012 | 42 | |
| 4 | 2020 | 31 | |
| 5 | 2015 | 30 | |
| 6 | 2011 | 28 | |
| 7 | 2015 | 26 | |
| 8 | 2011 | 12 | |
| 9 | 2018 | 9 | |
| 10 | 2012 | 8 | |
| 11 | 2012 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2009 | 4 | |
| 14 | 2019 | 4 | |
| 15 | Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games | 2011 | 3 |
| 16 | 2022 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2013 | 3 |
About Ritchie Lee
Ritchie Lee is a scholar working on Artificial Intelligence, Aerospace Engineering, Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 415 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Reinforcement Learning in Robotics (6 papers), Air Traffic Management and Optimization (5 papers), Aerospace and Aviation Technology (4 papers), Robotic Path Planning Algorithms (3 papers), Software Reliability and Analysis Research (3 papers), Formal Methods in Verification (3 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Software (82 citations), Automotive Engineering (159 citations), Safety, Risk, Reliability and Quality (70 citations), Artificial Intelligence (159 citations) and Control and Systems Engineering (101 citations). Ritchie Lee has collaborated with scholars based in United States and Norway. Frequent co-authors include Mykel J. Kochenderfer, Mark Koren, David H. Wolpert, Ole J. Mengshoel, Guillaume Brat, Robert J. Moss, Guanhua Yan, Michael J. Owen, Michael P. Owen and Ryan W. Gardner. Their work appears in journals such as Journal of Artificial Intelligence Research, Lecture notes in computer science, Intelligent systems reference library, Studies in computational intelligence and AIAA SCITECH 2022 Forum.
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.