Tim de Bruin
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Topics
- Reinforcement Learning in Robotics (8 papers)Advanced Bandit Algorithms Research (4 papers)Smart Grid Energy Management (3 papers)
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsJournal of Machine Learning ResearchIEEE Robotics and Automation Letters
- Partner nations
- NetherlandsUnited KingdomRomania
In The Last Decade
Tim de Bruin
9 papers receiving 713 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Control and Systems Engineering 368
- Artificial Intelligence 263
- Mechanical Engineering 155
- Electrical and Electronic Engineering 127
- Computational Theory and Mathematics 118
Countries citing papers authored by Tim de Bruin
This map shows the geographic impact of Tim de Bruin'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 Tim de Bruin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim de Bruin more than expected).
Fields of papers citing papers by Tim de Bruin
This network shows the impact of papers produced by Tim de Bruin. 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 Tim de Bruin. The network helps show where Tim de Bruin may publish in the future.
Co-authorship network of co-authors of Tim de Bruin
This figure shows the co-authorship network connecting the top 25 collaborators of Tim de Bruin. A scholar is included among the top collaborators of Tim de Bruin 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 Tim de Bruin. Tim de Bruin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 44 | |
| 4 | 65 | |
| 5 | Reinforcement learning for control: Performance, stability, and deep approximatorsbreakdown → | 312 |
| 6 | Off-policy experience retention for deep actor-critic learning | 3 |
| 7 | 242 | |
| 8 | 23 | |
| 9 | The importance of experience replay database composition in deep reinforcement learning | 44 |
About Tim de Bruin
Tim de Bruin is a scholar working on Management Science and Operations Research, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 9 papers that have together received 737 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (4 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Control and Systems Engineering (368 citations), Artificial Intelligence (263 citations) and Computational Theory and Mathematics (118 citations). Tim de Bruin has collaborated with scholars based in Netherlands, United Kingdom and Romania. Frequent co-authors include Robert Babuška, Jens Kober, K. Verbert, Domagoj Tolić, Ivana Palunko, Lucian Buşoniu and Karl Tuyls. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of Machine Learning Research and IEEE Robotics and Automation Letters.
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.