Glen Berseth
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Ocean Engineering top 5%
- Co-authors
- Xue Bin PengMichiel van de PanneKangKang YinMubbasir KapadiaPetros FaloutsosBrandon HaworthSergey LevineZhongyu Li
- Topics
- Evacuation and Crowd Dynamics (18 papers)Reinforcement Learning in Robotics (7 papers)Robotic Locomotion and Control (7 papers)
- Journals
- ACM Transactions on GraphicsThe International Journal of Robotics ResearchIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Glen Berseth
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Control and Systems Engineering 519
- Computer Vision and Pattern Recognition 430
- Biomedical Engineering 415
- Artificial Intelligence 332
- Ocean Engineering 204
Countries citing papers authored by Glen Berseth
This map shows the geographic impact of Glen Berseth'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 Glen Berseth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Berseth more than expected).
Fields of papers citing papers by Glen Berseth
This network shows the impact of papers produced by Glen Berseth. 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 Glen Berseth. The network helps show where Glen Berseth may publish in the future.
Co-authorship network of co-authors of Glen Berseth
This figure shows the co-authorship network connecting the top 25 collaborators of Glen Berseth. A scholar is included among the top collaborators of Glen Berseth 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 Glen Berseth. Glen Berseth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 0 | |
| 3 | 40 | |
| 4 | Accelerating Online Reinforcement Learning via Model-Based Meta-Learning | 1 |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 117 | |
| 8 | 12 | |
| 9 | 0 | |
| 10 | SMiRL: Surprise Minimizing RL in Dynamic Environments | 6 |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | DeepLocobreakdown → | 319 |
| 15 | 27 | |
| 16 | 5 | |
| 17 | 27 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | Automated Parameter Tuning for Steering Algorithms | 1 |
About Glen Berseth
Glen Berseth is a scholar working on Architecture, Ocean Engineering and Control and Systems Engineering, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (18 papers), Reinforcement Learning in Robotics (7 papers) and Robotic Locomotion and Control (7 papers). The work is most often cited by research in Control and Systems Engineering (519 citations), Computer Vision and Pattern Recognition (430 citations) and Ocean Engineering (204 citations). Glen Berseth has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Xue Bin Peng, Michiel van de Panne, KangKang Yin, Mubbasir Kapadia, Petros Faloutsos, Brandon Haworth, Sergey Levine, Zhongyu Li, Koushil Sreenath and Muhammad Usman. Their work appears in journals such as ACM Transactions on Graphics, The International Journal of Robotics Research and IEEE Transactions on Visualization and Computer Graphics.
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.