Filippos Christianos
- Artificial Intelligence
- Automotive Engineering
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Stefano V. AlbrechtNicholas R. JenningsBoris IvanovicMarco PavoneGeorgios ChalkiadakisTherese PefferJosiah P. HannaMarco Pritoni
- Topics
- Reinforcement Learning in Robotics (7 papers)Adaptive Dynamic Programming Control (2 papers)Robotic Path Planning Algorithms (2 papers)
- Journals
- Simulation Modelling Practice and TheoryAdvances in Building Energy ResearchAI Communications
- Partner nations
- United KingdomUnited StatesGreece
In The Last Decade
Filippos Christianos
8 papers receiving 40 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 17
- Automotive Engineering 13
- Computer Vision and Pattern Recognition 12
- Electrical and Electronic Engineering 11
- Control and Systems Engineering 7
Countries citing papers authored by Filippos Christianos
This map shows the geographic impact of Filippos Christianos'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 Filippos Christianos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippos Christianos more than expected).
Fields of papers citing papers by Filippos Christianos
This network shows the impact of papers produced by Filippos Christianos. 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 Filippos Christianos. The network helps show where Filippos Christianos may publish in the future.
Co-authorship network of co-authors of Filippos Christianos
This figure shows the co-authorship network connecting the top 25 collaborators of Filippos Christianos. A scholar is included among the top collaborators of Filippos Christianos 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 Filippos Christianos. Filippos Christianos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | Decoupling Exploration and Exploitation in Reinforcement Learning | 4 |
| 7 | Local Information Opponent Modelling Using Variational Autoencoders | 2 |
| 8 | Comparative Evaluation of Cooperative Multi-Agent Deep Reinforcement Learning Algorithms | 5 |
| 9 | 5 |
About Filippos Christianos
Filippos Christianos is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 40 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Adaptive Dynamic Programming Control (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Automotive Engineering (13 citations), Computer Vision and Pattern Recognition (12 citations) and Artificial Intelligence (17 citations). Filippos Christianos has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Stefano V. Albrecht, Nicholas R. Jennings, Boris Ivanovic, Marco Pavone, Georgios Chalkiadakis, Therese Peffer, Josiah P. Hanna, Marco Pritoni, Konstantinos Mykoniatis and David Culler. Their work appears in journals such as Simulation Modelling Practice and Theory, Advances in Building Energy Research and AI Communications.
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.