Éric Brunet-Gouet
- Cognitive Neuroscience top 2%
- Psychiatry and Mental health top 1%
- Social Psychology top 1%
- Mathematical Physics top 2%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Jean DecetyBernard DerridaYves SarfatiMarie‐Christine Hardy‐BayléPhilip L. JacksonAndrew N. MeltzoffS. MunierClaus O. Wilke
- Topics
- Stochastic processes and statistical mechanics (17 papers)Theoretical and Computational Physics (15 papers)Schizophrenia research and treatment (14 papers)
- Journals
- PLoS ONENeuroImageGenetics
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Éric Brunet-Gouet
62 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cognitive Neuroscience 1.2k
- Psychiatry and Mental health 830
- Social Psychology 770
- Mathematical Physics 512
- Experimental and Cognitive Psychology 419
Countries citing papers authored by Éric Brunet-Gouet
This map shows the geographic impact of Éric Brunet-Gouet'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 Éric Brunet-Gouet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Brunet-Gouet more than expected).
Fields of papers citing papers by Éric Brunet-Gouet
This network shows the impact of papers produced by Éric Brunet-Gouet. 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 Éric Brunet-Gouet. The network helps show where Éric Brunet-Gouet may publish in the future.
Co-authorship network of co-authors of Éric Brunet-Gouet
This figure shows the co-authorship network connecting the top 25 collaborators of Éric Brunet-Gouet. A scholar is included among the top collaborators of Éric Brunet-Gouet 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 Éric Brunet-Gouet. Éric Brunet-Gouet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 28 | |
| 9 | 24 | |
| 10 | 9 | |
| 11 | How many evolutionary histories only increase fitness | 3 |
| 12 | 10 | |
| 13 | 33 | |
| 14 | 30 | |
| 15 | 77 | |
| 16 | 109 | |
| 17 | 87 | |
| 18 | 243 | |
| 19 | Empathy examined through the neural mechanisms involved in imagining how I feel versus how you feel painbreakdown → | 606 |
| 20 | A PET Investigation of the Attribution of Intentions with a Nonverbal Taskbreakdown → | 500 |
About Éric Brunet-Gouet
Éric Brunet-Gouet is a scholar working on Mathematical Physics, Psychiatry and Mental health and Health Informatics, having authored 67 papers that have together received 3.2k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (17 papers), Theoretical and Computational Physics (15 papers) and Schizophrenia research and treatment (14 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Mathematical Physics (512 citations) and Psychiatry and Mental health (830 citations). Éric Brunet-Gouet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jean Decety, Bernard Derrida, Yves Sarfati, Marie‐Christine Hardy‐Baylé, Philip L. Jackson, Andrew N. Meltzoff, S. Munier, Claus O. Wilke, Igor M. Rouzine and Christine Passerieux. Their work appears in journals such as PLoS ONE, NeuroImage and Genetics.
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.