Mathieu Reymond
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Control and Systems Engineering
- Co-authors
- Ann NowéConor F. HayesDiederik M. RoijersPatrick MannionEnda HowleyRoxana RădulescuLuisa ZintgrafFredrik Heintz
- Topics
- Advanced Multi-Objective Optimization Algorithms (5 papers)Reinforcement Learning in Robotics (5 papers)Adaptive Dynamic Programming Control (2 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Expert Systems with ApplicationsAutonomous Agents and Multi-Agent SystemsVirtual Community of Pathological Anatomy (University of Castilla La Mancha)
- Partner nations
- IrelandBelgiumNetherlands
In The Last Decade
Mathieu Reymond
7 papers receiving 190 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 74
- Computational Theory and Mathematics 45
- Electrical and Electronic Engineering 33
- Computer Networks and Communications 29
- Control and Systems Engineering 23
Countries citing papers authored by Mathieu Reymond
This map shows the geographic impact of Mathieu Reymond'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 Mathieu Reymond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Reymond more than expected).
Fields of papers citing papers by Mathieu Reymond
This network shows the impact of papers produced by Mathieu Reymond. 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 Mathieu Reymond. The network helps show where Mathieu Reymond may publish in the future.
Co-authorship network of co-authors of Mathieu Reymond
This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Reymond. A scholar is included among the top collaborators of Mathieu Reymond 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 Mathieu Reymond. Mathieu Reymond 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 | 2 | |
| 3 | 9 | |
| 4 | A practical guide to multi-objective reinforcement learning and planningbreakdown → | 158 |
| 5 | 7 | |
| 6 | Pareto-DQN: Approximating the Pareto front in complex multi-objective decision problems | 11 |
| 7 | Reinforcement Learning for Demand Response of Domestic Household Appliances | 7 |
About Mathieu Reymond
Mathieu Reymond is a scholar working on Computational Theory and Mathematics, Modeling and Simulation and Artificial Intelligence, having authored 7 papers that have together received 198 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Reinforcement Learning in Robotics (5 papers) and Adaptive Dynamic Programming Control (2 papers). The work is most often cited by research in Computational Theory and Mathematics (45 citations), Artificial Intelligence (74 citations) and Industrial and Manufacturing Engineering (20 citations). Mathieu Reymond has collaborated with scholars based in Ireland, Belgium and Netherlands. Frequent co-authors include Ann Nowé, Conor F. Hayes, Diederik M. Roijers, Patrick Mannion, Enda Howley, Roxana Rădulescu, Luisa Zintgraf, Fredrik Heintz, Athirai A. Irissappane and Johan Källström. Their work appears in journals such as Expert Systems with Applications, Autonomous Agents and Multi-Agent Systems and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
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.