Dávid Samu
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Neurobiology of Language and Bilingualism
Papers in
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- Neural dynamics and brain function 3
- Functional Brain Connectivity Studies 2
- Neural and Behavioral Psychology Studies 1
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- Neuroscience and Neural Engineering 2
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Thomas Nowotny (3 shared papers)Anil K. Seth (1 shared paper)Lorraine K. Tyler (2 shared papers)James B. Rowe (1 shared paper)Vincenzo Marra (2 shared papers)Noham Wolpe (1 shared paper)Zheng Ye (1 shared paper)Matthias S. Treder (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)PLoS Computational Biology (1 paper)Biological Cybernetics (1 paper)Nature Protocols (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomHungaryChina
In The Last Decade
Dávid Samu
7 papers receiving 236 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 173
- Neuropsychology and Physiological Psychology 4
- Cellular and Molecular Neuroscience 50
- Aging 4
- Experimental and Cognitive Psychology 25
Countries citing papers authored by Dávid Samu
This map shows the geographic impact of Dávid Samu'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 Dávid Samu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Samu more than expected).
Fields of papers citing papers by Dávid Samu
This network shows the impact of papers produced by Dávid Samu. 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 Dávid Samu. The network helps show where Dávid Samu may publish in the future.
Co-authors
The 22 scholars most cited alongside Dávid Samu, 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 | 2014 | 60 | |
| 2 | 2018 | 52 | |
| 3 | 2011 | 36 | |
| 4 | 2016 | 35 | |
| 5 | 2020 | 23 | |
| 6 | 2009 | 21 | |
| 7 | 2012 | 12 |
About Dávid Samu
Dávid Samu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neuropsychology and Physiological Psychology, Health and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 239 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Functional Brain Connectivity Studies (2 papers), Aging and Gerontology Research (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Dementia and Cognitive Impairment Research (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (173 citations), Neuropsychology and Physiological Psychology (4 citations), Cellular and Molecular Neuroscience (50 citations), Aging (4 citations) and Experimental and Cognitive Psychology (25 citations). Dávid Samu has collaborated with scholars based in United Kingdom, Hungary and China. Frequent co-authors include Thomas Nowotny, Anil K. Seth, Lorraine K. Tyler, James B. Rowe, Vincenzo Marra, Noham Wolpe, Zheng Ye, Matthias S. Treder, Kevin Staras and Kamen A. Tsvetanov. Their work appears in journals such as Journal of Neuroscience, PLoS Computational Biology, Biological Cybernetics, Nature Protocols and PLoS ONE.
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.