Todd Peterson

707 total citations
18 papers, 414 citations indexed

About

Todd Peterson is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Todd Peterson has authored 18 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Todd Peterson's work include Reinforcement Learning in Robotics (14 papers), Evolutionary Algorithms and Applications (4 papers) and Neural Networks and Applications (4 papers). Todd Peterson is often cited by papers focused on Reinforcement Learning in Robotics (14 papers), Evolutionary Algorithms and Applications (4 papers) and Neural Networks and Applications (4 papers). Todd Peterson collaborates with scholars based in United States. Todd Peterson's co-authors include Ron Sun, Edward C. Merrill, Ruiji Sun, James L. Carroll and Kevin Seppi and has published in prestigious journals such as Information Sciences, Neural Networks and Cognitive Science.

In The Last Decade

Todd Peterson

18 papers receiving 381 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Todd Peterson United States 9 240 103 82 44 38 18 414
Paul Bello United States 12 199 0.8× 157 1.5× 54 0.7× 60 1.4× 36 0.9× 53 445
Mark K. Ho United States 15 212 0.9× 137 1.3× 79 1.0× 84 1.9× 36 0.9× 31 486
Gary L. Drescher United States 6 174 0.7× 80 0.8× 44 0.5× 51 1.2× 16 0.4× 9 289
Andreas Stuhlmüller United States 8 220 0.9× 70 0.7× 61 0.7× 36 0.8× 53 1.4× 11 377
James B. Marshall United States 10 144 0.6× 74 0.7× 51 0.6× 44 1.0× 21 0.6× 23 296
Ari Weinstein United States 9 158 0.7× 113 1.1× 36 0.4× 43 1.0× 20 0.5× 14 359
Gregg Collins United States 12 426 1.8× 42 0.4× 104 1.3× 43 1.0× 88 2.3× 26 646
Boicho Kokinov Bulgaria 10 155 0.6× 97 0.9× 100 1.2× 33 0.8× 54 1.4× 37 372
Mathieu Koppen Netherlands 12 318 1.3× 166 1.6× 109 1.3× 69 1.6× 74 1.9× 27 627
Wayne Iba United States 7 151 0.6× 59 0.6× 71 0.9× 16 0.4× 46 1.2× 18 291

Countries citing papers authored by Todd Peterson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

18 of 18 papers shown
1.
Peterson, Todd, et al.. (2006). Robot Learning in Partially Observable, Noisy, Continuous Worlds. 4. 4386–4393. 3 indexed citations
2.
Carroll, James L., Todd Peterson, & Kevin Seppi. (2003). Reinforcement Learning Task Clustering.. ScholarsArchive (Brigham Young University). 66–72. 2 indexed citations
3.
Sun, Ruiji & Todd Peterson. (2003). Partitioning in reinforcement learning. 4. 2259–2264. 1 indexed citations
4.
Peterson, Todd, et al.. (2003). Multi-agent learning via implicit opponent modeling. 2. 1534–1539. 3 indexed citations
5.
Carroll, James L. & Todd Peterson. (2002). Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning.. 3–8. 12 indexed citations
6.
Peterson, Todd & Ruiji Sun. (2002). An RBF network alternative for a hybrid architecture. 1. 768–773. 4 indexed citations
7.
Peterson, Todd, et al.. (2002). Using a reinforcement learning controller to overcome simulator/environment discrepancies. 3. 1424–1429. 1 indexed citations
8.
Sun, Ruiji & Todd Peterson. (2002). A hybrid model for learning sequential navigation. 234–239. 11 indexed citations
9.
Peterson, Todd, et al.. (2002). Towards automatic shaping in robot navigation. 1. 517–522. 5 indexed citations
10.
Carroll, James L., et al.. (2002). Memory-guided exploration in reinforcement learning. 2. 1002–1007. 10 indexed citations
11.
Sun, Ruiji & Todd Peterson. (2002). Hybrid learning incorporating neural and symbolic processes. 1. 727–732. 5 indexed citations
12.
Sun, Ron, Edward C. Merrill, & Todd Peterson. (2001). From implicit skills to explicit knowledge: a bottom‐up model of skill learning. Cognitive Science. 25(2). 203–244. 211 indexed citations
13.
Sun, Ruiji & Todd Peterson. (1999). Multi-agent reinforcement learning: weighting and partitioning. Neural Networks. 12(4-5). 727–753. 35 indexed citations
14.
Sun, Ron, Todd Peterson, & Edward C. Merrill. (1999). A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making. Applied Intelligence. 11(1). 109–127. 19 indexed citations
15.
Sun, Ron & Todd Peterson. (1998). Automatic Partitioning for Multi-Agent Reinforcement Learning. International Conference on Neural Information Processing. 268–271. 1 indexed citations
16.
Sun, Ruiji & Todd Peterson. (1998). Autonomous learning of sequential tasks: experiments and analyses. IEEE Transactions on Neural Networks. 9(6). 1217–1234. 56 indexed citations
17.
Sun, Ron & Todd Peterson. (1998). Some experiments with a hybrid model for learning sequential decision making. Information Sciences. 111(1-4). 83–107. 26 indexed citations
18.
Sun, Ruiji & Todd Peterson. (1996). Learning in reactive sequential decision tasks: the CLARION model. Proceedings of International Conference on Neural Networks (ICNN'96). 1073–1078 vol.2. 9 indexed citations

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.

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