Ben Tse
Impact in
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
Papers in
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- Peer-to-Peer Network Technologies 3
- Advanced Database Systems and Queries 1
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- Multi-Agent Systems and Negotiation 2
- Data Stream Mining Techniques 1
- Reinforcement Learning in Robotics 1
- Co-authors
- Adam Coates (1 shared paper)Varun Ganapathi (1 shared paper)Andrew Y. Ng (1 shared paper)Eric Liang (1 shared paper)Raman B. Paranjape (2 shared papers)Luigi Benedicenti (1 shared paper)
- Journals
- Springer tracts in advanced robotics (1 paper)Lecture notes in computer science (1 paper)IGI Global eBooks (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Ben Tse
3 papers receiving 371 citations
Ben Tse's Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 252
- Control and Systems Engineering 141
- Computer Vision and Pattern Recognition 91
- Computational Theory and Mathematics 67
- Aerospace Engineering 73
Countries citing papers authored by Ben Tse
This map shows the geographic impact of Ben Tse'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 Ben Tse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Tse more than expected).
Fields of papers citing papers by Ben Tse
This network shows the impact of papers produced by Ben Tse. 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 Ben Tse. The network helps show where Ben Tse may publish in the future.
Co-authors
The 6 scholars most cited alongside Ben Tse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Autonomous Inverted Helicopter Flight via Reinforcement Learning Hit paper breakdown → | 2006 | 397 |
| 2 | 2007 | 1 | |
| 3 | 2006 | 1 | |
| 4 | 2008 | 0 |
About Ben Tse
Ben Tse is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Information Systems, Computational Theory and Mathematics and Aerospace Engineering, having authored 4 papers that have together received 399 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Multi-Agent Systems and Negotiation (2 papers), Data Stream Mining Techniques (1 paper), Aerospace and Aviation Technology (1 paper), Business Process Modeling and Analysis (1 paper), Reinforcement Learning in Robotics (1 paper), Adaptive Dynamic Programming Control (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Artificial Intelligence (252 citations), Control and Systems Engineering (141 citations), Computer Vision and Pattern Recognition (91 citations), Computational Theory and Mathematics (67 citations) and Aerospace Engineering (73 citations). Ben Tse has collaborated with scholars based in Canada and United States. Frequent co-authors include Adam Coates, Varun Ganapathi, Andrew Y. Ng, Eric Liang, Raman B. Paranjape and Luigi Benedicenti. Their work appears in journals such as Springer tracts in advanced robotics, Lecture notes in computer science and IGI Global eBooks.
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.