Dylan Hadfield-Menell
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Safety Research
- Co-authors
- Pieter AbbeelAnca D. DraganStuart RussellGillian K. HadfieldRohan ChitnisAnson HoStephen CasperChristopher H. Lin
- Topics
- Robot Manipulation and Learning (6 papers)Reinforcement Learning in Robotics (6 papers)Explainable Artificial Intelligence (XAI) (4 papers)
- Cited by
- Artificial IntelligenceControl and Systems EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Dylan Hadfield-Menell
19 papers receiving 275 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 167
- Control and Systems Engineering 94
- Computer Vision and Pattern Recognition 78
- Social Psychology 33
- Safety Research 29
Countries citing papers authored by Dylan Hadfield-Menell
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).
Fields of papers citing papers by Dylan Hadfield-Menell
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.
Co-authorship network of co-authors of Dylan Hadfield-Menell
This figure shows the co-authorship network connecting the top 25 collaborators of Dylan Hadfield-Menell. A scholar is included among the top collaborators of Dylan Hadfield-Menell 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 Dylan Hadfield-Menell. Dylan Hadfield-Menell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 47 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | Cooperative Inverse Reinforcement Learning | 56 |
| 14 | 39 | |
| 15 | 6 | |
| 16 | Multitasking: efficient optimal planning for bandit superprocesses | 1 |
| 17 | 2 | |
| 18 | 23 | |
| 19 | 24 | |
| 20 | 3 |
About Dylan Hadfield-Menell
Dylan Hadfield-Menell is a scholar working on Health Informatics, Safety Research and Artificial Intelligence, having authored 23 papers that have together received 297 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (6 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Control and Systems Engineering (94 citations) and Computer Vision and Pattern Recognition (78 citations). Dylan Hadfield-Menell has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Pieter Abbeel, Anca D. Dragan, Stuart Russell, Gillian K. Hadfield, Rohan Chitnis, Anson Ho, Stephen Casper, Christopher H. Lin, Abhishek Gupta and Alex X. Lee. Their work appears in journals such as Communications of the ACM, Science Advances and Autonomous Agents and Multi-Agent Systems.
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.