Dylan Hadfield-Menell

About

Dylan Hadfield-Menell is a scholar working on Artificial Intelligence, Management Science and Operations Research and Safety Research. According to data from OpenAlex, Dylan Hadfield-Menell has authored 22 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Safety Research. Recurrent topics in Dylan Hadfield-Menell’s work include Reinforcement Learning in Robotics (6 papers), Auction Theory and Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Dylan Hadfield-Menell is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Auction Theory and Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Dylan Hadfield-Menell collaborates with scholars based in United States, Canada and South Korea. Dylan Hadfield-Menell's co-authors include Anca D. Dragan, Pieter Abbeel, Stuart Russell, Gillian K. Hadfield, Smitha Milli, Rohan Chitnis, Stephen Casper, Sandy H. Huang, Lawrence S. Chan and Alex X. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Dylan Hadfield-Menell i

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Fields of papers citing papers by Dylan Hadfield-Menell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan Hadfield-Menell. 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 Dylan Hadfield-Menell. The network helps show where Dylan Hadfield-Menell may publish in the future.

Countries citing papers authored by Dylan Hadfield-Menell

Since Specialization

Citations

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

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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