Thayne T. Walker
Impact in
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- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
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- Guidance and Control Systems
- Robotics and Sensor-Based Localization
- Military Defense Systems Analysis
Papers in
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- Multi-Agent Systems and Negotiation 4
- Reinforcement Learning in Robotics 3
- Artificial Intelligence in Games 1
- Machine Learning and Algorithms 1
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- Constraint Satisfaction and Optimization 2
- Distributed Control Multi-Agent Systems 1
- Co-authors
- Nathan Sturtevant (4 shared papers)Ariel Felner (3 shared papers)David Rosenbluth (2 shared papers)D. Javorsek (1 shared paper)Jaime S. Ide (3 shared papers)David W. Chan (1 shared paper)Han Zhang (1 shared paper)Tushar Kumar (1 shared paper)
- Journals
- IEEE Transactions on Artificial Intelligence (1 paper)Proceedings of the International Conference on Automated Planning and Scheduling (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Thayne T. Walker
6 papers receiving 102 citations
Peers
Comparison fields: 5 of 24
- Computer Vision and Pattern Recognition 57
- Aerospace Engineering 38
- Artificial Intelligence 36
- Industrial and Manufacturing Engineering 11
- Computer Networks and Communications 22
Countries citing papers authored by Thayne T. Walker
This map shows the geographic impact of Thayne T. Walker'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 Thayne T. Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thayne T. Walker more than expected).
Fields of papers citing papers by Thayne T. Walker
This network shows the impact of papers produced by Thayne T. Walker. 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 Thayne T. Walker. The network helps show where Thayne T. Walker may publish in the future.
Co-authors
The 11 scholars most cited alongside Thayne T. Walker, 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 | 52 | |
| 2 | 2018 | 29 | |
| 3 | 2020 | 8 | |
| 4 | 2017 | 8 | |
| 5 | 2021 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2023 | 0 |
About Thayne T. Walker
Thayne T. Walker is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Automotive Engineering and Management Science and Operations Research, having authored 7 papers that have together received 105 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (4 papers), Reinforcement Learning in Robotics (3 papers), Robotic Path Planning Algorithms (3 papers), Constraint Satisfaction and Optimization (2 papers), Artificial Intelligence in Games (1 paper), Auction Theory and Applications (1 paper), Machine Learning and Algorithms (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (57 citations), Aerospace Engineering (38 citations), Artificial Intelligence (36 citations), Industrial and Manufacturing Engineering (11 citations) and Computer Networks and Communications (22 citations). Thayne T. Walker has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Nathan Sturtevant, Ariel Felner, David Rosenbluth, D. Javorsek, Jaime S. Ide, David W. Chan, Han Zhang, Tushar Kumar, Jiaoyang Li and Minkyu Choi. Their work appears in journals such as IEEE Transactions on Artificial Intelligence, Proceedings of the International Conference on Automated Planning and Scheduling and Proceedings of the AAAI Conference on Artificial Intelligence.
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.