Todd Peterson
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Developmental and Educational Psychology top 10%
- Social Psychology
- Experimental and Cognitive Psychology
- Topics
- Reinforcement Learning in Robotics (14 papers)Evolutionary Algorithms and Applications (4 papers)Neural Networks and Applications (4 papers)
- Partner nations
- United States
In The Last Decade
Todd Peterson
18 papers receiving 381 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 240
- Cognitive Neuroscience 103
- Developmental and Educational Psychology 82
- Social Psychology 44
- Experimental and Cognitive Psychology 38
Countries citing papers authored by Todd Peterson
This map shows the geographic impact of Todd Peterson'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 Todd Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Peterson more than expected).
Fields of papers citing papers by Todd Peterson
This network shows the impact of papers produced by Todd Peterson. 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 Todd Peterson. The network helps show where Todd Peterson may publish in the future.
Co-authorship network of co-authors of Todd Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of Todd Peterson. A scholar is included among the top collaborators of Todd Peterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Todd Peterson. Todd Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Reinforcement Learning Task Clustering. | 2 |
| 3 | 1 | |
| 4 | 3 | |
| 5 | Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning. | 12 |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 211 | |
| 13 | 35 | |
| 14 | 19 | |
| 15 | Automatic Partitioning for Multi-Agent Reinforcement Learning | 1 |
| 16 | 56 | |
| 17 | 26 | |
| 18 | 9 |
About Todd Peterson
Todd Peterson is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering, having authored 18 papers that have together received 414 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (14 papers), Evolutionary Algorithms and Applications (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (240 citations), Developmental and Educational Psychology (82 citations) and Cognitive Neuroscience (103 citations). Todd Peterson has collaborated with scholars based in United States. Frequent co-authors include Ron Sun, Edward C. Merrill, Ruiji Sun, James L. Carroll and Kevin Seppi. Their work appears in journals such as Information Sciences, Neural Networks and Cognitive Science.
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.