Sam Toyer

403 total citations
6 papers, 84 citations indexed

About

Sam Toyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Sam Toyer has authored 6 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Sam Toyer's work include AI-based Problem Solving and Planning (2 papers), Machine Learning and Algorithms (2 papers) and Artificial Intelligence in Games (1 paper). Sam Toyer is often cited by papers focused on AI-based Problem Solving and Planning (2 papers), Machine Learning and Algorithms (2 papers) and Artificial Intelligence in Games (1 paper). Sam Toyer collaborates with scholars based in United States and Australia. Sam Toyer's co-authors include Lexing Xie, Felipe Trevizan, Sylvie Thiébaux, Stephen Jay Gould, Xue Bin Peng, Anoop Cherian, Angjoo Kanazawa, Tengda Han, Sergey Levine and Pieter Abbeel and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the International Symposium on Combinatorial Search.

In The Last Decade

Sam Toyer

6 papers receiving 82 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Toyer United States 5 57 36 14 8 6 6 84
Joost van Amersfoort United Kingdom 6 89 1.6× 22 0.6× 14 1.0× 5 0.6× 6 1.0× 6 126
Zhang-Wei Hong Taiwan 4 52 0.9× 65 1.8× 12 0.9× 5 0.6× 2 0.3× 8 93
Yotam Doron United Kingdom 2 67 1.2× 20 0.6× 25 1.8× 3 0.4× 2 0.3× 2 93
D. J. Cox United States 2 31 0.5× 8 0.2× 9 0.6× 4 0.5× 5 0.8× 2 74
Kuan Liu China 5 20 0.4× 47 1.3× 6 0.4× 6 0.8× 11 1.8× 14 82
Zhaohan Daniel Guo United States 4 75 1.3× 14 0.4× 12 0.9× 4 0.5× 4 0.7× 5 91
Michael R. Zhang Canada 3 32 0.6× 30 0.8× 4 0.3× 4 0.5× 3 0.5× 3 72
Haoze Wu China 6 28 0.5× 32 0.9× 4 0.3× 6 0.8× 5 0.8× 18 60
Daniel W. Stouch United States 5 21 0.4× 21 0.6× 4 0.3× 12 1.5× 4 0.7× 7 52
Mohammad Pezeshki Canada 2 25 0.4× 17 0.5× 6 0.4× 4 0.5× 4 0.7× 3 52

Countries citing papers authored by Sam Toyer

Since Specialization
Citations

This map shows the geographic impact of Sam Toyer'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 Sam Toyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Toyer more than expected).

Fields of papers citing papers by Sam Toyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Toyer. 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 Sam Toyer. The network helps show where Sam Toyer may publish in the future.

Co-authorship network of co-authors of Sam Toyer

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Toyer. A scholar is included among the top collaborators of Sam Toyer 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 Sam Toyer. Sam Toyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Guan, Melody Y., Manas Joglekar, Eric Wallace, et al.. (2025). Deliberative Alignment: Reasoning Enables Safer Language Models. 2(3). 4 indexed citations
2.
Shen, William, Felipe Trevizan, Sam Toyer, Sylvie Thiébaux, & Lexing Xie. (2021). Guiding Search with Generalized Policies for Probabilistic Planning. Proceedings of the International Symposium on Combinatorial Search. 10(1). 97–105. 5 indexed citations
3.
Toyer, Sam, et al.. (2020). The MAGICAL Benchmark for Robust Imitation. arXiv (Cornell University). 1 indexed citations
4.
Peng, Xue Bin, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, & Sergey Levine. (2018). Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. arXiv (Cornell University). 23 indexed citations
5.
Toyer, Sam, Felipe Trevizan, Sylvie Thiébaux, & Lexing Xie. (2018). Action Schema Networks: Generalised Policies With Deep Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 31 indexed citations
6.
Toyer, Sam, Anoop Cherian, Tengda Han, & Stephen Jay Gould. (2017). Human Pose Forecasting via Deep Markov Models. 1–8. 20 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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