Dylan P. Losey
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Rehabilitation top 2%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Co-authors
- Marcia K. O’MalleyCraig G. McDonaldAli Utku PehlivanEdoardo BattagliaAndrea BajcsyAnca D. DraganFabrizio SergiAndrew Erwin
- Topics
- Robot Manipulation and Learning (21 papers)Reinforcement Learning in Robotics (17 papers)Social Robot Interaction and HRI (10 papers)
- Journals
- Scientific ReportsThe International Journal of Robotics ResearchIEEE Transactions on Robotics
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Dylan P. Losey
38 papers receiving 804 citations
Peers
Comparison fields: 5 of 62
- Biomedical Engineering 411
- Control and Systems Engineering 303
- Rehabilitation 246
- Artificial Intelligence 146
- Mechanical Engineering 135
Countries citing papers authored by Dylan P. Losey
This map shows the geographic impact of Dylan P. Losey'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 P. Losey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan P. Losey more than expected).
Fields of papers citing papers by Dylan P. Losey
This network shows the impact of papers produced by Dylan P. Losey. 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 P. Losey. The network helps show where Dylan P. Losey may publish in the future.
Co-authorship network of co-authors of Dylan P. Losey
This figure shows the co-authorship network connecting the top 25 collaborators of Dylan P. Losey. A scholar is included among the top collaborators of Dylan P. Losey 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 P. Losey. Dylan P. Losey 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 | 2 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 25 | |
| 14 | Learning Visually Guided Latent Actions for Assistive Teleoperation | 2 |
| 15 | Learning from My Partner’s Actions: Roles in Decentralized Robot Teams | 4 |
| 16 | 21 | |
| 17 | Including Uncertainty when Learning from Human Corrections. | 3 |
| 18 | 41 | |
| 19 | Learning Robot Objectives from Physical Human Interaction | 38 |
| 20 | 204 |
About Dylan P. Losey
Dylan P. Losey is a scholar working on Control and Systems Engineering, Rehabilitation and Artificial Intelligence, having authored 43 papers that have together received 816 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (21 papers), Reinforcement Learning in Robotics (17 papers) and Social Robot Interaction and HRI (10 papers). The work is most often cited by research in Rehabilitation (246 citations), Control and Systems Engineering (303 citations) and Human-Computer Interaction (61 citations). Dylan P. Losey has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Marcia K. O’Malley, Craig G. McDonald, Ali Utku Pehlivan, Edoardo Battaglia, Andrea Bajcsy, Anca D. Dragan, Fabrizio Sergi, Andrew Erwin, Dorsa Sadigh and Chad G. Rose. Their work appears in journals such as Scientific Reports, The International Journal of Robotics Research and IEEE Transactions on Robotics.
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.