Steven Hansen
Impact in
- Cognitive Neuroscience top 5%
- Motor Control and Adaptation
- Neurobiology of Language and Bilingualism
- Tactile and Sensory Interactions
- Neural and Behavioral Psychology Studies
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- Reading and Literacy Development
Papers in ⓘ
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- Reinforcement Learning in Robotics 6
- Data Stream Mining Techniques 2
- Evolutionary Algorithms and Applications 1
- Co-authors
- Milena Rabovsky (2 shared papers)James L. McClelland (2 shared papers)Digby Elliott (1 shared paper)Luc Tremblay (1 shared paper)David Warde-Farley (3 shared papers)Volodymyr Mnih (3 shared papers)Tejas D. Kulkarni (1 shared paper)Tom Van de Wiele (1 shared paper)
- Journals
- Nature Human Behaviour (1 paper)Cognitive Science (1 paper)Journal of Motor Behavior (1 paper)arXiv (Cornell University) (5 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Steven Hansen
10 papers receiving 338 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 265
- Developmental and Educational Psychology 99
- Physical Therapy, Sports Therapy and Rehabilitation 25
- Experimental and Cognitive Psychology 45
- Social Psychology 60
Countries citing papers authored by Steven Hansen
This map shows the geographic impact of Steven Hansen'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 Steven Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Hansen more than expected).
Fields of papers citing papers by Steven Hansen
This network shows the impact of papers produced by Steven Hansen. 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 Steven Hansen. The network helps show where Steven Hansen may publish in the future.
Co-authors
The 18 scholars most cited alongside Steven Hansen, 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 | 2018 | 155 | |
| 2 | 2004 | 143 | |
| 3 | 2018 | 21 | |
| 4 | 2019 | 8 | |
| 5 | 2018 | 7 | |
| 6 | 2021 | 7 | |
| 7 | N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model. | 2016 | 2 |
| 8 | Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning | 2021 | 1 |
| 9 | 2020 | 1 | |
| 10 | 2020 | 1 |
About Steven Hansen
Steven Hansen is a scholar working on Artificial Intelligence, Computer Science Applications, Orthopedics and Sports Medicine, Media Technology and Cognitive Neuroscience, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Data Stream Mining Techniques (2 papers), Action Observation and Synchronization (1 paper), Evolutionary Algorithms and Applications (1 paper), Adaptive Dynamic Programming Control (1 paper), Advanced Bandit Algorithms Research (1 paper), Innovative Teaching Methods (1 paper) and Experimental Learning in Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (265 citations), Developmental and Educational Psychology (99 citations), Physical Therapy, Sports Therapy and Rehabilitation (25 citations), Experimental and Cognitive Psychology (45 citations) and Social Psychology (60 citations). Steven Hansen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Milena Rabovsky, James L. McClelland, Digby Elliott, Luc Tremblay, David Warde-Farley, Volodymyr Mnih, Tejas D. Kulkarni, Tom Van de Wiele, Catalin Ionescu and Kate Baumli. Their work appears in journals such as Nature Human Behaviour, Cognitive Science, Journal of Motor Behavior, arXiv (Cornell University) 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.