Jonathan J. Hunt
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
- Traffic control and management
Papers in
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- Retinal Development and Disorders 2
- Bacillus and Francisella bacterial research 2
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- Reinforcement Learning in Robotics 4
- Co-authors
- David Silver (3 shared papers)Timothy Lillicrap (3 shared papers)Nicolas Heess (2 shared papers)Daan Wierstra (1 shared paper)Tom Erez (1 shared paper)Alexander Pritzel (1 shared paper)Yuval Tassa (1 shared paper)Jimmy D. Ballard (4 shared papers)
- Journals
- mSphere (2 papers)Neural Computation (2 papers)Investigative Ophthalmology & Visual Science (2 papers)NeuroImage (2 papers)Vision Research (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jonathan J. Hunt
30 papers receiving 5.4k citations
Jonathan J. Hunt's Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 2.2k
- Control and Systems Engineering 1.4k
- Automotive Engineering 650
- Computer Networks and Communications 1.0k
- Computer Vision and Pattern Recognition 842
Countries citing papers authored by Jonathan J. Hunt
This map shows the geographic impact of Jonathan J. Hunt'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 Jonathan J. Hunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Hunt more than expected).
Fields of papers citing papers by Jonathan J. Hunt
This network shows the impact of papers produced by Jonathan J. Hunt. 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 Jonathan J. Hunt. The network helps show where Jonathan J. Hunt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan J. Hunt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Continuous control with deep reinforcement learning Hit paper breakdown → | 2016 | 4934 |
| 2 | 2013 | 76 | |
| 3 | 2008 | 75 | |
| 4 | 2001 | 60 | |
| 5 | 2019 | 50 | |
| 6 | 2011 | 27 | |
| 7 | 2016 | 24 | |
| 8 | 2015 | 22 | |
| 9 | 2013 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2011 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2006 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2023 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2009 | 8 | |
| 20 | 2011 | 8 |
About Jonathan J. Hunt
Jonathan J. Hunt is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 5.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Neural dynamics and brain function (4 papers), Reinforcement Learning in Robotics (4 papers), Retinal Development and Disorders (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Artificial Intelligence (2.2k citations), Control and Systems Engineering (1.4k citations), Automotive Engineering (650 citations), Computer Networks and Communications (1.0k citations) and Computer Vision and Pattern Recognition (842 citations). Jonathan J. Hunt has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Silver, Timothy Lillicrap, Nicolas Heess, Daan Wierstra, Tom Erez, Alexander Pritzel, Yuval Tassa, Jimmy D. Ballard, Michelle C. Callegan and Brandt Wiskur. Their work appears in journals such as mSphere, Neural Computation, Investigative Ophthalmology & Visual Science, NeuroImage and Vision Research.
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.