Mike Phillips
Impact in
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- Robotic Path Planning Algorithms
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- Robot Manipulation and Learning
- Control and Dynamics of Mobile Robots
Papers in
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- Robotic Path Planning Algorithms 17
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- AI-based Problem Solving and Planning 7
- Reinforcement Learning in Robotics 6
- Co-authors
- Maxim Likhachev (16 shared papers)Venkatraman Narayanan (2 shared papers)Sachin Chitta (4 shared papers)E. Gil Jones (1 shared paper)Armin Hornung (1 shared paper)Maren Bennewitz (1 shared paper)Sven Koenig (1 shared paper)Benjamin J. Cohen (3 shared papers)
- Journals
- Long Range Planning (1 paper)Contemporary Issues in Early Childhood (1 paper)Autonomous Robots (1 paper)Digital Creativity (3 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Mike Phillips
35 papers receiving 520 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 398
- Control and Systems Engineering 171
- Aerospace Engineering 174
- Automotive Engineering 54
- Industrial and Manufacturing Engineering 42
Countries citing papers authored by Mike Phillips
This map shows the geographic impact of Mike Phillips'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 Mike Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Phillips more than expected).
Fields of papers citing papers by Mike Phillips
This network shows the impact of papers produced by Mike Phillips. 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 Mike Phillips. The network helps show where Mike Phillips may publish in the future.
Co-authors
The 25 scholars most cited alongside Mike Phillips, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 212 | |
| 2 | 2012 | 65 | |
| 3 | 2012 | 47 | |
| 4 | 2014 | 41 | |
| 5 | 2015 | 22 | |
| 6 | Efficient search with an ensemble of heuristics | 2015 | 19 |
| 7 | 2014 | 16 | |
| 8 | 2015 | 14 | |
| 9 | 2015 | 11 | |
| 10 | 2011 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2013 | 8 | |
| 13 | CMMI-ACQ: Guidelines for Improving the Acquisition of Products and Services | 2008 | 7 |
| 14 | 2019 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 1994 | 6 | |
| 19 | 2011 | 5 | |
| 20 | 2000 | 4 |
About Mike Phillips
Mike Phillips is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Aerospace Engineering and Computer Networks and Communications, having authored 39 papers that have together received 552 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), AI-based Problem Solving and Planning (7 papers), Reinforcement Learning in Robotics (6 papers), Robotics and Sensor-Based Localization (5 papers), Optimization and Search Problems (4 papers), Robot Manipulation and Learning (4 papers), Technology Assessment and Management (3 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Control and Systems Engineering (171 citations), Aerospace Engineering (174 citations), Automotive Engineering (54 citations) and Industrial and Manufacturing Engineering (42 citations). Mike Phillips has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Maxim Likhachev, Venkatraman Narayanan, Sachin Chitta, E. Gil Jones, Armin Hornung, Maren Bennewitz, Sven Koenig, Benjamin J. Cohen, Siddharth Swaminathan and Sandip Aine. Their work appears in journals such as Long Range Planning, Contemporary Issues in Early Childhood, Autonomous Robots, Digital Creativity 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.