Lucian Buşoniu
- Artificial Intelligence top 0.5%
- Control and Systems Engineering top 0.5%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Robert BabuškaBart De SchutterDamien ErnstI. GrondmanGabriel A. D. LopesDomagoj TolićIvana PalunkoJens Kober
- Topics
- Reinforcement Learning in Robotics (32 papers)Advanced Control Systems Optimization (21 papers)Adaptive Dynamic Programming Control (20 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Industrial ElectronicsAutomatica
- Partner nations
- RomaniaNetherlandsFrance
In The Last Decade
Lucian Buşoniu
74 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.8k
- Control and Systems Engineering 1.3k
- Computational Theory and Mathematics 907
- Computer Networks and Communications 847
- Electrical and Electronic Engineering 827
Countries citing papers authored by Lucian Buşoniu
This map shows the geographic impact of Lucian Buşoniu'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 Lucian Buşoniu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucian Buşoniu more than expected).
Fields of papers citing papers by Lucian Buşoniu
This network shows the impact of papers produced by Lucian Buşoniu. 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 Lucian Buşoniu. The network helps show where Lucian Buşoniu may publish in the future.
Co-authorship network of co-authors of Lucian Buşoniu
This figure shows the co-authorship network connecting the top 25 collaborators of Lucian Buşoniu. A scholar is included among the top collaborators of Lucian Buşoniu 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 Lucian Buşoniu. Lucian Buşoniu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 73 | |
| 14 | A review of optimistic planning in Markov decision processes | 5 |
| 15 | 94 | |
| 16 | 5 | |
| 17 | 35 | |
| 18 | 55 | |
| 19 | Multiagent Reinforcement Learning Algorithm Research Based on Non Markov Environment | 1 |
| 20 | Multiagent Reinforcement Learning with Adaptive State Focus. | 15 |
About Lucian Buşoniu
Lucian Buşoniu is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence, having authored 83 papers that have together received 4.1k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (32 papers), Advanced Control Systems Optimization (21 papers) and Adaptive Dynamic Programming Control (20 papers). The work is most often cited by research in Computational Theory and Mathematics (907 citations), Control and Systems Engineering (1.3k citations) and Artificial Intelligence (1.8k citations). Lucian Buşoniu has collaborated with scholars based in Romania, Netherlands and France. Frequent co-authors include Robert Babuška, Bart De Schutter, Damien Ernst, I. Grondman, Gabriel A. D. Lopes, Domagoj Tolić, Ivana Palunko, Jens Kober, Tim de Bruin and Jamal Daafouz. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.
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.