Andrew H. Fagg
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces 17
- Motor Control and Adaptation 15
- Neural dynamics and brain function 15
- Social Psychology top 2%
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- Robot Manipulation and Learning 28
- Neurology top 5%
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- Neuroscience and Neural Engineering 14
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- Reinforcement Learning in Robotics 18
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- Muscle activation and electromyography studies 12
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- Robotic Path Planning Algorithms 9
- Co-authors
- Michael A. ArbibScott T. GraftonRoderic A. GrupenRobert W. PlattNicholas G. HatsopoulosBrian Neil LevineJames DavisAndrew G. Barto
- Journals
- Nature Communications (1 paper)Journal of Neuroscience (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Andrew H. Fagg
86 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 1.4k
- Social Psychology 529
- Control and Systems Engineering 587
- Neurology 178
- Cellular and Molecular Neuroscience 369
Countries citing papers authored by Andrew H. Fagg
This map shows the geographic impact of Andrew H. Fagg'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 Andrew H. Fagg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew H. Fagg more than expected).
Fields of papers citing papers by Andrew H. Fagg
This network shows the impact of papers produced by Andrew H. Fagg. 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 Andrew H. Fagg. The network helps show where Andrew H. Fagg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew H. Fagg, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 0 | |
| 4 | 2017 | 13 | |
| 5 | 2016 | 14 | |
| 6 | Robotic Crawling Assistance for Infants with Cerebral Palsy. | 2015 | 3 |
| 7 | 2013 | 32 | |
| 8 | 2012 | 2 | |
| 9 | 2009 | 67 | |
| 10 | 2009 | 6 | |
| 11 | 2007 | 47 | |
| 12 | Constructing Robust Neural Decoders Using Limited Training Data | 2007 | 1 |
| 13 | Improving Grasp Skills Using Schema Structured Learning | 2006 | 11 |
| 14 | Remote supervisory control of a humanoid robot | 2005 | 1 |
| 15 | Active learning for robot manipulation | 2004 | 5 |
| 16 | Robot Learning with Predictions of Operator Intent. | 2004 | 1 |
| 17 | Synthetic PET imaging for grasping: from primate Neurophysiology to human behavior | 2003 | 11 |
| 18 | A Framework For Humanoid Control and Intelligence | 2003 | 10 |
| 19 | 1996 | 4 | |
| 20 | 1994 | 32 |
About Andrew H. Fagg
Andrew H. Fagg is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (28 papers), Reinforcement Learning in Robotics (18 papers), EEG and Brain-Computer Interfaces (17 papers), Motor Control and Adaptation (15 papers), Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (14 papers), Muscle activation and electromyography studies (12 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Social Psychology (529 citations) and Control and Systems Engineering (587 citations). Andrew H. Fagg has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Michael A. Arbib, Scott T. Grafton, Roderic A. Grupen, Robert W. Platt, Nicholas G. Hatsopoulos, Brian Neil Levine, James Davis, Andrew G. Barto, Roger P. Woods and Aaron J. Suminski. Their work appears in journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.