Raphaël Koster
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics 4
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms 6
- Neural and Behavioral Psychology Studies 5
- Neural dynamics and brain function 4
- Psychology of Moral and Emotional Judgment 3
- Safety Research top 10%
- Experimental Behavioral Economics Studies 7
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- Neuroscience and Neuropharmacology Research 5
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- Evolutionary Game Theory and Cooperation 5
- Co-authors
- Raymond J. DolanEmrah DüzelDharshan KumaranAndrea BaninoDemis HassabisDavid BerronMartin J. ChadwickTali Sharot
- Journals
- Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Raphaël Koster
25 papers receiving 450 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- General Decision Sciences 39
- Cognitive Neuroscience 268
- Safety Research 52
- Applied Psychology 21
- Experimental and Cognitive Psychology 52
Countries citing papers authored by Raphaël Koster
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
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
The 25 scholars most cited alongside Raphaël Koster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | AI can help humans find common ground in democratic deliberationbreakdown → | 2024 | 37 |
| 6 | 2023 | 6 | |
| 7 | 2022 | 51 | |
| 8 | 2022 | 1 | |
| 9 | 2018 | 86 | |
| 10 | 2017 | 52 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 28 | |
| 13 | 2016 | 10 | |
| 14 | Robot response behaviors to accommodate hearing problems | 2015 | 2 |
| 15 | 2015 | 20 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 19 | |
| 18 | 2015 | 14 | |
| 19 | 2014 | 0 | |
| 20 | Les réseaux sociaux de santé | 2011 | 1 |
About Raphaël Koster
Raphaël Koster is a scholar working on General Decision Sciences, Safety Research and Cognitive Neuroscience, having authored 28 papers that have together received 466 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (7 papers), Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neural and Behavioral Psychology Studies (5 papers), Evolutionary Game Theory and Cooperation (5 papers), Neural dynamics and brain function (4 papers), Decision-Making and Behavioral Economics (4 papers) and Psychology of Moral and Emotional Judgment (3 papers). The work is most often cited by research in General Decision Sciences (39 citations), Cognitive Neuroscience (268 citations) and Safety Research (52 citations). Raphaël Koster has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Raymond J. Dolan, Emrah Düzel, Dharshan Kumaran, Andrea Banino, Demis Hassabis, David Berron, Martin J. Chadwick, Tali Sharot, Xiaoyu Yu and Stephen M. Fleming. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, PLoS ONE, British Journal of Learning Disabilities and Psychological Science.
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.