Patrick Ulam
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
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- Psychology of Moral and Emotional Judgment
- Neuroethics, Human Enhancement, Biomedical Innovations
Papers in
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- Reinforcement Learning in Robotics 4
- Artificial Intelligence in Games 2
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- Distributed Control Multi-Agent Systems 2
- Co-authors
- Ronald C. Arkin (8 shared papers)Alan R. Wagner (2 shared papers)Tucker Balch (2 shared papers)Yoichiro Endo (1 shared paper)Brittany A. Duncan (1 shared paper)Mark E. Wilson (1 shared paper)Vasiliki Michopoulos (1 shared paper)Zachary P. Johnson (1 shared paper)
- Journals
- Proceedings of the IEEE (1 paper)Intelligent Service Robotics (1 paper)Adaptive Behavior (1 paper)Appetite (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)
- Partner nations
- United States
In The Last Decade
Patrick Ulam
12 papers receiving 201 citations
Peers
Comparison fields: 5 of 65
- Safety Research 78
- Cognitive Neuroscience 60
- Social Psychology 47
- Artificial Intelligence 63
- Software 6
Countries citing papers authored by Patrick Ulam
This map shows the geographic impact of Patrick Ulam'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 Ulam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Ulam more than expected).
Fields of papers citing papers by Patrick Ulam
This network shows the impact of papers produced by Patrick Ulam. 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 Ulam. The network helps show where Patrick Ulam may publish in the future.
Co-authors
The 13 scholars most cited alongside Patrick Ulam, 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 | 2011 | 113 | |
| 2 | 2007 | 20 | |
| 3 | 2009 | 20 | |
| 4 | 2012 | 12 | |
| 5 | 2009 | 11 | |
| 6 | Niche Selection for Foraging Tasks in Multi-Robot Teams Using Reinforcement Learning | 2003 | 9 |
| 7 | 2004 | 8 | |
| 8 | 2004 | 7 | |
| 9 | 2010 | 6 | |
| 10 | 2008 | 5 | |
| 11 | Biasing Behavioral Activation with Intent | 2006 | 4 |
| 12 | 2008 | 3 |
About Patrick Ulam
Patrick Ulam is a scholar working on Artificial Intelligence, Computer Networks and Communications, Mechanical Engineering, Social Psychology and Clinical Psychology, having authored 12 papers that have together received 218 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Modular Robots and Swarm Intelligence (3 papers), Artificial Intelligence in Games (2 papers), Free Will and Agency (2 papers), Psychology of Moral and Emotional Judgment (2 papers), Distributed Control Multi-Agent Systems (2 papers), Robotic Path Planning Algorithms (2 papers) and Product Development and Customization (1 paper). The work is most often cited by research in Safety Research (78 citations), Cognitive Neuroscience (60 citations), Social Psychology (47 citations), Artificial Intelligence (63 citations) and Software (6 citations). Patrick Ulam has collaborated with scholars based in United States. Frequent co-authors include Ronald C. Arkin, Alan R. Wagner, Tucker Balch, Yoichiro Endo, Brittany A. Duncan, Mark E. Wilson, Vasiliki Michopoulos, Zachary P. Johnson, Donna Toufexis and Zsolt Kira. Their work appears in journals such as Proceedings of the IEEE, Intelligent Service Robotics, Adaptive Behavior, Appetite and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.
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.