This map shows the geographic impact of Roy Fox'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 Roy Fox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Fox more than expected).
This network shows the impact of papers produced by Roy Fox. 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 Roy Fox. The network helps show where Roy Fox may publish in the future.
Co-authorship network of co-authors of Roy Fox
This figure shows the co-authorship network connecting the top 25 collaborators of Roy Fox.
A scholar is included among the top collaborators of Roy Fox 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 Roy Fox. Roy Fox is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fox, Roy, Richard Shin, Sanjay Krishnan, et al.. (2018). Parametrized Hierarchical Procedures for Neural Programming. International Conference on Learning Representations.7 indexed citations
4.
Liang, Eric, Richard Liaw, Robert Nishihara, et al.. (2018). RLlib: Abstractions for Distributed Reinforcement Learning. International Conference on Machine Learning. 3053–3062.50 indexed citations
5.
Liang, Eric, Roy Fox, Joseph E. Gonzalez, & Ion Stoica. (2018). Task-Relevant Embeddings for Robust Perception in Reinforcement Learning. International Conference on Machine Learning.2 indexed citations
Fox, Roy, Richard Shin, William Paul, et al.. (2018). Hierarchical Imitation Learning via Variational Inference of Control Programs.1 indexed citations
10.
Lee, Jonathan, Michael Laskey, Roy Fox, & Ken Goldberg. (2018). Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints..2 indexed citations
11.
Lemieux, Caroline, et al.. (2018). Neural Inference of API Functions from Input–Output Examples.1 indexed citations
12.
Laskey, Michael, Jonathan Lee, Richard Liaw, et al.. (2017). Iterative Noise Injection for Scalable Imitation Learning.. arXiv (Cornell University).5 indexed citations
13.
Liang, Eric, Richard Liaw, Robert Nishihara, et al.. (2017). Ray RLLib: A Composable and Scalable Reinforcement Learning Library. arXiv (Cornell University).49 indexed citations
Fox, Roy, et al.. (2016). Principled Option Learning in Markov Decision Processes. arXiv (Cornell University).1 indexed citations
18.
Merel, Josh, Roy Fox, Tony Jebara, & Liam Paninski. (2013). A multi-agent control framework for co-adaptation in brain-computer interfaces. Neural Information Processing Systems. 26. 2841–2849.14 indexed citations
19.
Fox, Roy & Moshe Tennenholtz. (2007). A reinforcement learning algorithm with polynomial interaction complexity for only-costly-observable MDPs. National Conference on Artificial Intelligence. 553–558.2 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.