Raphaël Koster

1.1k total citations · 1 hit paper
28 papers, 466 citations indexed

About

Raphaël Koster is a scholar working on Cognitive Neuroscience, Safety Research and Sociology and Political Science. According to data from OpenAlex, Raphaël Koster has authored 28 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Safety Research and 7 papers in Sociology and Political Science. Recurrent topics in Raphaël Koster's work include Experimental Behavioral Economics Studies (7 papers), Memory and Neural Mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Raphaël Koster is often cited by papers focused on Experimental Behavioral Economics Studies (7 papers), Memory and Neural Mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Raphaël Koster collaborates with scholars based in United Kingdom, United States and Germany. Raphaël Koster's co-authors include Raymond J. Dolan, Emrah Düzel, Dharshan Kumaran, Andrea Banino, Demis Hassabis, David Berron, Martin J. Chadwick, Tali Sharot, Stephen M. Fleming and Xiaoyu Yu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Raphaël Koster

25 papers receiving 450 citations

Hit Papers

AI can help humans find common ground in democratic delib... 2024 2026 2025 2024 10 20 30

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raphaël Koster United Kingdom 11 268 68 60 58 52 28 466
Seongmin A. Park United States 12 329 1.2× 47 0.7× 77 1.3× 43 0.7× 67 1.3× 19 484
Joaquín Navajas Argentina 11 295 1.1× 92 1.4× 41 0.7× 84 1.4× 42 0.8× 29 498
Andra Geana United States 6 428 1.6× 72 1.1× 76 1.3× 53 0.9× 141 2.7× 9 681
Jan Balaguer United Kingdom 9 239 0.9× 25 0.4× 74 1.2× 26 0.4× 48 0.9× 12 388
Dylan Alexander Simon United States 6 466 1.7× 19 0.3× 71 1.2× 98 1.7× 91 1.8× 8 593
Lusha Zhu United States 13 348 1.3× 91 1.3× 20 0.3× 32 0.6× 127 2.4× 23 541
Volker Thoma United Kingdom 14 379 1.4× 49 0.7× 23 0.4× 19 0.3× 80 1.5× 37 583
Élise Payzan-LeNestour Australia 7 304 1.1× 14 0.2× 27 0.5× 27 0.5× 75 1.4× 21 449
Ida Momennejad United States 12 666 2.5× 84 1.2× 151 2.5× 121 2.1× 170 3.3× 20 924

Countries citing papers authored by Raphaël Koster

Since Specialization
Citations

This map shows the geographic impact of Raphaël Koster'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 Raphaël Koster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Koster more than expected).

Fields of papers citing papers by Raphaël Koster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphaël Koster. 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 Raphaël Koster. The network helps show where Raphaël Koster may publish in the future.

Co-authorship network of co-authors of Raphaël Koster

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Koster. A scholar is included among the top collaborators of Raphaël Koster 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 Raphaël Koster. Raphaël Koster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koster, Raphaël, Edgar A. Duéñez‐Guzmán, William A. Cunningham, & Joel Z. Leibo. (2025). Tabula rasa agents display emergent in-group behavior. Proceedings of the National Academy of Sciences. 122(25). e2319947121–e2319947121. 1 indexed citations
2.
Koster, Raphaël, Andrea Tacchetti, Jan Balaguer, et al.. (2025). Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem. Nature Communications. 16(1). 2824–2824. 2 indexed citations
3.
Murphy, Esther, Darren McCausland, Helena Bergström, et al.. (2024). Bridging the digital divide for individuals with intellectual disabilities: Implications for well‐being and inclusion. British Journal of Learning Disabilities. 53(1). 17–31. 2 indexed citations
4.
Hertz, Uri, Raphaël Koster, Marco A. Janssen, & Joel Z. Leibo. (2024). Beyond the matrix: Experimental approaches to studying cognitive agents in social-ecological systems. Cognition. 254. 105993–105993. 1 indexed citations
5.
Bakker, Michiel A., Hannah Sheahan, Martin J. Chadwick, et al.. (2024). AI can help humans find common ground in democratic deliberation. Science. 386(6719). eadq2852–eadq2852. 37 indexed citations breakdown →
6.
Vinitsky, Eugene, Raphaël Koster, John Agapiou, et al.. (2023). A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. 2(2). 2502884420–2502884420. 6 indexed citations
7.
Koster, Raphaël, Jan Balaguer, Andrea Tacchetti, et al.. (2022). Human-centred mechanism design with Democratic AI. Nature Human Behaviour. 6(10). 1398–1407. 51 indexed citations
8.
Leibo, Joel Z., Raphaël Koster, Alexander Sasha Vezhnevets, et al.. (2022). What is the simplest model that can account for high-fidelity imitation?. Behavioral and Brain Sciences. 45. e261–e261. 1 indexed citations
9.
Koster, Raphaël, Martin J. Chadwick, Yi Chen, et al.. (2018). Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes. Neuron. 99(6). 1342–1354.e6. 86 indexed citations
10.
Banino, Andrea, Raphaël Koster, Demis Hassabis, & Dharshan Kumaran. (2016). Retrieval-Based Model Accounts for Striking Profile of Episodic Memory and Generalization. Scientific Reports. 6(1). 31330–31330. 28 indexed citations
11.
Koster, Raphaël, et al.. (2016). Selective perturbation of cognitive conflict in the human brain–A combined fMRI and rTMS study. Scientific Reports. 6(1). 38700–38700. 9 indexed citations
12.
Koster, Raphaël, Tricia X. F. Seow, Raymond J. Dolan, & Emrah Düzel. (2016). Stimulus Novelty Energizes Actions in the Absence of Explicit Reward. PLoS ONE. 11(7). e0159120–e0159120. 10 indexed citations
13.
Koster, Raphaël, et al.. (2015). Robot response behaviors to accommodate hearing problems. University of Twente Research Information. 2 indexed citations
14.
Kumaran, Dharshan, et al.. (2015). Context-specific activation of hippocampus and SN/VTA by reward is related to enhanced long-term memory for embedded objects. Neurobiology of Learning and Memory. 134. 65–77. 20 indexed citations
15.
Koster, Raphaël, Emrah Düzel, & Raymond J. Dolan. (2015). Action and Valence Modulate Choice and Choice-Induced Preference Change. PLoS ONE. 10(3). e0119682–e0119682. 14 indexed citations
16.
Koster, Raphaël, et al.. (2015). How beliefs about self-creation inflate value in the human brain. Frontiers in Human Neuroscience. 9. 473–473. 1 indexed citations
17.
Koster, Raphaël, Marc Guitart‐Masip, Raymond J. Dolan, & Emrah Düzel. (2015). Basal Ganglia Activity Mirrors a Benefit of Action and Reward on Long-Lasting Event Memory. Cerebral Cortex. 25(12). 4908–4917. 19 indexed citations
18.
19.
Koster, Raphaël, et al.. (2011). Les réseaux sociaux de santé. 7(2). 103–116. 1 indexed citations
20.
Koster, Raphaël, et al.. (2011). Les réseaux sociaux de santé. Communauté et co-construction de savoirs profanes. Les cahiers du numérique. 7(2). 103–116. 14 indexed citations

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.

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