W. Bradley Knox
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics 20
- Health Informatics top 5%
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics 4
- Safety Research top 5%
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- Neural and Behavioral Psychology Studies 8
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- Robot Manipulation and Learning 6
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- Social Robot Interaction and HRI 5
- Human-Automation Interaction and Safety 3
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- Software Engineering Research 2
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- Genetic and phenotypic traits in livestock 2
W. Bradley Knox
36 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 1.0k
- Health Informatics 37
- General Decision Sciences 48
- Safety Research 153
- Computer Science Applications 86
Countries citing papers authored by W. Bradley Knox
This map shows the geographic impact of W. Bradley Knox'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 W. Bradley Knox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Bradley Knox more than expected).
Fields of papers citing papers by W. Bradley Knox
This network shows the impact of papers produced by W. Bradley Knox. 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 W. Bradley Knox. The network helps show where W. Bradley Knox may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W. Bradley Knox, 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 | 3 | |
| 2 | 2023 | 16 | |
| 3 | 2018 | 4 | |
| 4 | 2018 | 2 | |
| 5 | 2016 | 1 | |
| 6 | 2016 | 8 | |
| 7 | Using informative behavior to increase engagement while learning from human reward | 2015 | 1 |
| 8 | 2015 | 34 | |
| 9 | 2014 | 20 | |
| 10 | Power to the People: The Role of Humans in Interactive Machine Learningbreakdown → | 2014 | 583 |
| 11 | 2013 | 63 | |
| 12 | 2012 | 88 | |
| 13 | 2012 | 55 | |
| 14 | Reinforcement Learning with Human Feedback in Mountain Car | 2011 | 8 |
| 15 | 2010 | 3 | |
| 16 | 2010 | 93 | |
| 17 | Design Principles for Creating Human-Shapable Agents | 2009 | 10 |
| 18 | 2008 | 75 | |
| 19 | 2008 | 2 | |
| 20 | Know thine enemy: a champion robocup coach agent | 2006 | 17 |
About W. Bradley Knox
W. Bradley Knox is a scholar working on General Decision Sciences, Artificial Intelligence and Cognitive Neuroscience, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (20 papers), Neural and Behavioral Psychology Studies (8 papers), Robot Manipulation and Learning (6 papers), Social Robot Interaction and HRI (5 papers), Decision-Making and Behavioral Economics (4 papers), Human-Automation Interaction and Safety (3 papers), Software Engineering Research (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Health Informatics (37 citations) and General Decision Sciences (48 citations). W. Bradley Knox has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Peter Stone, Maya Çakmak, Saleema Amershi, Todd Kulesza, Peter Stone, Bradley C. Love, A. Ross Otto, Cynthia Breazeal, Jin Joo Lee and David DeSteno. Their work appears in journals such as Frontiers in Psychology, Artificial Intelligence and Veterinary Parasitology.
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.