Jérôme Munuera
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Neural and Behavioral Psychology Studies
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
-
- Memory and Neural Mechanisms 2
- Neural and Behavioral Psychology Studies 2
- Neural dynamics and brain function 2
- Visual perception and processing mechanisms 2
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- Primate Behavior and Ecology 2
- Neuroendocrine regulation and behavior 2
- Co-authors
- Mattia Rigotti (2 shared papers)C. Daniel Salzman (2 shared papers)Stefano Fusi (1 shared paper)Silvia Bernardi (1 shared paper)Marcus K. Benna (1 shared paper)Jean‐René Duhamel (2 shared papers)Sophie Denève (1 shared paper)Pierre Morel (1 shared paper)
- Journals
- Cell (1 paper)PLoS Computational Biology (1 paper)Journal of Neuroscience (1 paper)Brain Structure and Function (1 paper)Frontiers in Behavioral Neuroscience (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Jérôme Munuera
6 papers receiving 333 citations
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 294
- Sensory Systems 15
- Social Psychology 55
- Cellular and Molecular Neuroscience 44
- Behavioral Neuroscience 8
Countries citing papers authored by Jérôme Munuera
This map shows the geographic impact of Jérôme Munuera'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 Jérôme Munuera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Munuera more than expected).
Fields of papers citing papers by Jérôme Munuera
This network shows the impact of papers produced by Jérôme Munuera. 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 Jérôme Munuera. The network helps show where Jérôme Munuera may publish in the future.
Co-authors
The 13 scholars most cited alongside Jérôme Munuera, 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 | 2020 | 207 | |
| 2 | 2018 | 76 | |
| 3 | 2009 | 44 | |
| 4 | 2020 | 7 | |
| 5 | 2018 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 0 |
About Jérôme Munuera
Jérôme Munuera is a scholar working on Cognitive Neuroscience, Social Psychology, Applied Psychology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 7 papers that have together received 337 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (2 papers), Primate Behavior and Ecology (2 papers), Neural and Behavioral Psychology Studies (2 papers), Behavioral Health and Interventions (2 papers), Neuroendocrine regulation and behavior (2 papers), Neural dynamics and brain function (2 papers), Visual perception and processing mechanisms (2 papers) and Mental Health Research Topics (1 paper). The work is most often cited by research in Cognitive Neuroscience (294 citations), Sensory Systems (15 citations), Social Psychology (55 citations), Cellular and Molecular Neuroscience (44 citations) and Behavioral Neuroscience (8 citations). Jérôme Munuera has collaborated with scholars based in France and United States. Frequent co-authors include Mattia Rigotti, C. Daniel Salzman, Stefano Fusi, Silvia Bernardi, Marcus K. Benna, Jean‐René Duhamel, Sophie Denève, Pierre Morel, Marta Ribes and Eric Burguière. Their work appears in journals such as Cell, PLoS Computational Biology, Journal of Neuroscience, Brain Structure and Function and Frontiers in Behavioral Neuroscience.
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.