Bram Bakker
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Building and Construction top 10%
- Transportation top 5%
- Automotive Engineering top 10%
- Co-authors
- Matthijs T. J. SpaanHein van HoutMariëtte de HaanJelle R. KokNikos VlassisWim StalmanEibert R. HeerdinkChrister Ahlström
- Topics
- Reinforcement Learning in Robotics (7 papers)Neural Networks and Applications (2 papers)Traffic control and management (2 papers)
- Journals
- Behavioral and Brain SciencesIEEE Transactions on Intelligent Transportation SystemsPsychiatric Services
- Partner nations
- NetherlandsSwedenUnited Kingdom
In The Last Decade
Bram Bakker
13 papers receiving 472 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 195
- Control and Systems Engineering 135
- Building and Construction 91
- Transportation 84
- Automotive Engineering 61
Countries citing papers authored by Bram Bakker
This map shows the geographic impact of Bram Bakker'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 Bram Bakker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Bakker more than expected).
Fields of papers citing papers by Bram Bakker
This network shows the impact of papers produced by Bram Bakker. 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 Bram Bakker. The network helps show where Bram Bakker may publish in the future.
Co-authorship network of co-authors of Bram Bakker
This figure shows the co-authorship network connecting the top 25 collaborators of Bram Bakker. A scholar is included among the top collaborators of Bram Bakker 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 Bram Bakker. Bram Bakker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 131 | |
| 3 | Parckr - Estimating and Forecasting Parking Occupancy Based on Floating Vehicle Data | 2 |
| 4 | Integrating distributed Bayesian inference and reinforcement learning for sensor management | 4 |
| 5 | Switching between different state representations in reinforcement learning | 3 |
| 6 | 13 | |
| 7 | Utile coordination: Learning interdependencies among cooperative agents | 35 |
| 8 | Reinforcement learning of traffic light controllers adapting to traffic congestion | 32 |
| 9 | 3 | |
| 10 | 62 | |
| 11 | Hierarchical Reinforcement Learning Based on Subgoal Discovery and Subpolicy Specialization | 57 |
| 12 | Hierarchical reinforcement learning with subpolicies specializing for learned subgoals. | 9 |
| 13 | Reinforcement Learning with Long Short-Term Memory | 113 |
About Bram Bakker
Bram Bakker is a scholar working on Transportation, History and Philosophy of Science and Artificial Intelligence, having authored 13 papers that have together received 513 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Neural Networks and Applications (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Transportation (84 citations), Family Practice (18 citations) and Geriatrics and Gerontology (28 citations). Bram Bakker has collaborated with scholars based in Netherlands, Sweden and United Kingdom. Frequent co-authors include Matthijs T. J. Spaan, Hein van Hout, Mariëtte de Haan, Jelle R. Kok, Nikos Vlassis, Wim Stalman, Eibert R. Heerdink, Christer Ahlström, A. A. Baker and Anna Anund. Their work appears in journals such as Behavioral and Brain Sciences, IEEE Transactions on Intelligent Transportation Systems and Psychiatric Services.
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.