Patrick MacAlpine
Impact in
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- Reinforcement Learning in Robotics
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- Robotic Path Planning Algorithms
Papers in
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- Reinforcement Learning in Robotics 12
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- Robotic Locomotion and Control 11
- Co-authors
- Peter Stone (17 shared papers)Samuel Barrett (6 shared papers)Daniel Urieli (5 shared papers)Eric Price (1 shared paper)Shivaram Kalyanakrishnan (4 shared papers)Ori Ossmy (2 shared papers)Justine E. Hoch (2 shared papers)Karen E. Adolph (1 shared paper)
- Journals
- Developmental Science (1 paper)Artificial Intelligence (1 paper)IEEE Intelligent Systems (1 paper)Frontiers in Neurorobotics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Patrick MacAlpine
17 papers receiving 171 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 88
- Computer Vision and Pattern Recognition 52
- Computer Science Applications 12
- Developmental Biology 4
- Control and Systems Engineering 41
Countries citing papers authored by Patrick MacAlpine
This map shows the geographic impact of Patrick MacAlpine'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 Patrick MacAlpine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick MacAlpine more than expected).
Fields of papers citing papers by Patrick MacAlpine
This network shows the impact of papers produced by Patrick MacAlpine. 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 Patrick MacAlpine. The network helps show where Patrick MacAlpine may publish in the future.
Co-authors
The 13 scholars most cited alongside Patrick MacAlpine, 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 | 2013 | 33 | |
| 2 | 2011 | 23 | |
| 3 | 2015 | 23 | |
| 4 | 2018 | 22 | |
| 5 | 2017 | 18 | |
| 6 | 2015 | 14 | |
| 7 | 2012 | 12 | |
| 8 | 2014 | 10 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 3 | |
| 11 | UT Austin Villa 2011: 3D Simulation Team Report | 2011 | 3 |
| 12 | Using Dynamic Rewards to Learn a Fully Holonomic Bipedal Walk | 2012 | 2 |
| 13 | 2016 | 2 | |
| 14 | Optimizing Interdependent Skills for Simulated 3D Humanoid Robot Soccer | 2011 | 2 |
| 15 | 2014 | 1 | |
| 16 | 2016 | 1 | |
| 17 | Simultaneous Learning and Reshaping of an Approximated Optimization Task | 2013 | 1 |
About Patrick MacAlpine
Patrick MacAlpine is a scholar working on Artificial Intelligence, Biomedical Engineering, Computer Science Applications, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 17 papers that have together received 176 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (12 papers), Robotic Locomotion and Control (11 papers), Teaching and Learning Programming (5 papers), Robotic Path Planning Algorithms (3 papers), Simulation Techniques and Applications (3 papers), Robot Manipulation and Learning (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Evacuation and Crowd Dynamics (1 paper). The work is most often cited by research in Artificial Intelligence (88 citations), Computer Vision and Pattern Recognition (52 citations), Computer Science Applications (12 citations), Developmental Biology (4 citations) and Control and Systems Engineering (41 citations). Patrick MacAlpine has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Peter Stone, Samuel Barrett, Daniel Urieli, Eric Price, Shivaram Kalyanakrishnan, Ori Ossmy, Justine E. Hoch, Karen E. Adolph, Victor Vu and Francisco J. Barrera. Their work appears in journals such as Developmental Science, Artificial Intelligence, IEEE Intelligent Systems, Frontiers in Neurorobotics 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.