Patrick D. Ulam
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
- Social Psychology top 10%
- Social Robot Interaction and HRI
Papers in
-
- Reinforcement Learning in Robotics 2
- AI-based Problem Solving and Planning 2
- Psychiatry, Mental Health, Neuroscience 1
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- Social Robot Interaction and HRI 3
- Co-authors
- Ronald C. Arkin (8 shared papers)Alan Richard Wagner (3 shared papers)Yoichiro Endo (2 shared papers)Tucker R. Balch (2 shared papers)Brittany A. Duncan (1 shared paper)Ashok Kumar Goel (1 shared paper)Zsolt Kira (1 shared paper)
- Journals
- Adaptive Behavior (1 paper)Intelligent Service Robotics (1 paper)Proceedings of the IEEE (1 paper)SMARTech Repository (Georgia Institute of Technology) (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (2 papers)
- Partner nations
- United States
In The Last Decade
Patrick D. Ulam
11 papers receiving 255 citations
Peers
Comparison fields: 5 of 43
- Safety Research 75
- Social Psychology 77
- Artificial Intelligence 69
- Control and Systems Engineering 41
- Software 7
Countries citing papers authored by Patrick D. Ulam
This map shows the geographic impact of Patrick D. 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 D. 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 D. Ulam more than expected).
Fields of papers citing papers by Patrick D. Ulam
This network shows the impact of papers produced by Patrick D. 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 D. Ulam. The network helps show where Patrick D. Ulam may publish in the future.
Co-authors
The 7 scholars most cited alongside Patrick D. 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 | 144 | |
| 2 | 2007 | 27 | |
| 3 | 2009 | 27 | |
| 4 | 2009 | 13 | |
| 5 | 2008 | 12 | |
| 6 | 2004 | 10 | |
| 7 | 2007 | 10 | |
| 8 | Niche Selection for Foraging Tasks in Multi-Robot Teams Using Reinforcement Learning | 2003 | 9 |
| 9 | 2004 | 9 | |
| 10 | 2010 | 7 | |
| 11 | 2008 | 4 |
About Patrick D. Ulam
Patrick D. Ulam is a scholar working on Artificial Intelligence, Social Psychology, Computer Networks and Communications, Mechanical Engineering and Control and Systems Engineering, having authored 11 papers that have together received 272 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (4 papers), Social Robot Interaction and HRI (3 papers), Reinforcement Learning in Robotics (2 papers), AI-based Problem Solving and Planning (2 papers), Distributed Control Multi-Agent Systems (2 papers), Ethics and Social Impacts of AI (1 paper), Psychiatry, Mental Health, Neuroscience (1 paper) and Usability and User Interface Design (1 paper). The work is most often cited by research in Safety Research (75 citations), Social Psychology (77 citations), Artificial Intelligence (69 citations), Control and Systems Engineering (41 citations) and Software (7 citations). Patrick D. Ulam has collaborated with scholars based in United States. Frequent co-authors include Ronald C. Arkin, Alan Richard Wagner, Yoichiro Endo, Tucker R. Balch, Brittany A. Duncan, Ashok Kumar Goel and Zsolt Kira. Their work appears in journals such as Adaptive Behavior, Intelligent Service Robotics, Proceedings of the IEEE, SMARTech Repository (Georgia Institute of Technology) and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.