Silvy Collin
Impact in
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Memory Processes and Influences
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
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- Neuroscience and Neuropharmacology Research
Papers in
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- Memory and Neural Mechanisms 5
- Memory Processes and Influences 2
- Functional Brain Connectivity Studies 1
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Christian F. Doeller (4 shared papers)Branka Milivojevic (3 shared papers)Kenneth A. Norman (2 shared papers)Nicholas Franklin (1 shared paper)Samuel J. Gershman (1 shared paper)Tim van Mourik (1 shared paper)Peter Desain (1 shared paper)Lycia D. de Voogd (1 shared paper)
- Journals
- Scientific Reports (1 paper)Current Opinion in Behavioral Sciences (1 paper)Journal of Neuroscience (1 paper)Nature Neuroscience (1 paper)Communications Psychology (2 papers)
- Partner nations
- NetherlandsNorwayUnited States
In The Last Decade
Silvy Collin
7 papers receiving 249 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 226
- Cellular and Molecular Neuroscience 84
- Developmental and Educational Psychology 51
- Behavioral Neuroscience 13
- Sensory Systems 10
Countries citing papers authored by Silvy Collin
This map shows the geographic impact of Silvy Collin'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 Silvy Collin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvy Collin more than expected).
Fields of papers citing papers by Silvy Collin
This network shows the impact of papers produced by Silvy Collin. 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 Silvy Collin. The network helps show where Silvy Collin may publish in the future.
Co-authors
The 11 scholars most cited alongside Silvy Collin, 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 | 2015 | 167 | |
| 2 | 2016 | 49 | |
| 3 | 2017 | 24 | |
| 4 | 2024 | 6 | |
| 5 | 2022 | 4 | |
| 6 | 2025 | 1 | |
| 7 | 2014 | 1 |
About Silvy Collin
Silvy Collin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Neurology and Experimental and Cognitive Psychology, having authored 7 papers that have together received 252 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Memory Processes and Influences (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Functional Brain Connectivity Studies (1 paper), Topic Modeling (1 paper) and Visual and Cognitive Learning Processes (1 paper). The work is most often cited by research in Cognitive Neuroscience (226 citations), Cellular and Molecular Neuroscience (84 citations), Developmental and Educational Psychology (51 citations), Behavioral Neuroscience (13 citations) and Sensory Systems (10 citations). Silvy Collin has collaborated with scholars based in Netherlands, Norway and United States. Frequent co-authors include Christian F. Doeller, Branka Milivojevic, Kenneth A. Norman, Nicholas Franklin, Samuel J. Gershman, Tim van Mourik, Peter Desain, Lycia D. de Voogd, Erno J. Hermans and Guillén Fernández. Their work appears in journals such as Scientific Reports, Current Opinion in Behavioral Sciences, Journal of Neuroscience, Nature Neuroscience and Communications Psychology.
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.