Patrick MacAlpine
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- Reinforcement Learning in Robotics 12
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- Robotic Path Planning Algorithms 3
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- Teaching and Learning Programming 5
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- Robot Manipulation and Learning 2
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- Robotic Locomotion and Control 11
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- Simulation Techniques and Applications 3
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- Modular Robots and Swarm Intelligence 2
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- Motor Control and Adaptation 1
- Co-authors
- Peter StoneSamuel BarrettEric PriceDaniel UrieliShivaram KalyanakrishnanKaren E. AdolphJustine E. HochOri Ossmy
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Developmental Science (1 paper)Artificial Intelligence (1 paper)Frontiers in Neurorobotics (1 paper)
- 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-authorship network
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 | 2023 | 3 | |
| 2 | 2021 | 6 | |
| 3 | 2018 | 22 | |
| 4 | 2017 | 18 | |
| 5 | 2016 | 2 | |
| 6 | 2016 | 1 | |
| 7 | 2015 | 14 | |
| 8 | 2015 | 23 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 10 | |
| 11 | 2013 | 33 | |
| 12 | Simultaneous Learning and Reshaping of an Approximated Optimization Task | 2013 | 1 |
| 13 | Using Dynamic Rewards to Learn a Fully Holonomic Bipedal Walk | 2012 | 2 |
| 14 | 2012 | 12 | |
| 15 | 2011 | 23 | |
| 16 | Optimizing Interdependent Skills for Simulated 3D Humanoid Robot Soccer | 2011 | 2 |
| 17 | UT Austin Villa 2011: 3D Simulation Team Report | 2011 | 3 |
About Patrick MacAlpine
Patrick MacAlpine is a scholar working on Computer Science Applications, Artificial Intelligence and Software, 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), Simulation Techniques and Applications (3 papers), Robotic Path Planning Algorithms (3 papers), Modular Robots and Swarm Intelligence (2 papers), Robot Manipulation and Learning (2 papers) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Artificial Intelligence (88 citations), Computer Vision and Pattern Recognition (52 citations) and Computer Science Applications (12 citations). Patrick MacAlpine has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Peter Stone, Samuel Barrett, Eric Price, Daniel Urieli, Shivaram Kalyanakrishnan, Karen E. Adolph, Justine E. Hoch, Ori Ossmy, Victor Vu and Francisco J. Barrera. Their work appears in journals such as Developmental Science, Artificial Intelligence, Frontiers in Neurorobotics, IEEE Intelligent Systems and Adaptive Agents and Multi-Agents Systems.
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.