Dávid Samu

1.3k citations
19 papers · 820 · h-index 16

Impact in

Papers in

    • Functional Brain Connectivity Studies 5
    • Neural dynamics and brain function 5
    • Neural and Behavioral Psychology Studies 3
    • EEG and Brain-Computer Interfaces 3
    • Neuroscience and Neural Engineering 2
    • Neuroscience and Neuropharmacology Research 2

Dávid Samu

18 papers receiving 816 citations

Peers

Dávid Samu
Comparison fields: 5 of 86
  • Cognitive Neuroscience 536
  • Neuropsychology and Physiological Psychology 12
  • Psychiatry and Mental health 98
  • Radiology, Nuclear Medicine and Imaging 126
  • Neurology 47
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Citations per field
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Citations per year

Countries citing papers authored by Dávid Samu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dávid Samu Line = papers co-authored together Dávid Samu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2016107
2 202093
3 201467
4 201763
5 201863
6 201658
7 201748
8 202046
9 201844
10 201640
11 201137
12 201835
13 201828
14 202024
15 200922
16 201921
17 202312
18 201212
19 20250

About Dávid Samu

Dávid Samu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Health and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 820 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Neural dynamics and brain function (5 papers), Neural and Behavioral Psychology Studies (3 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Neuroscience and Neural Engineering (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cardiovascular Health and Risk Factors (2 papers). The work is most often cited by research in Cognitive Neuroscience (536 citations), Neuropsychology and Physiological Psychology (12 citations), Psychiatry and Mental health (98 citations), Radiology, Nuclear Medicine and Imaging (126 citations) and Neurology (47 citations). Dávid Samu has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Thomas Nowotny, Anil K. Seth, LORRAINE KOMISARJEVSKY TYLER, Noham Wolpe, Laura E. Hughes, Zheng Ye, Matthias Sebastian Treder, James Benedict Rowe, Kamen A. Tsvetanov and Karen Lucia Campbell. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Neuroscience, Neurobiology of Aging and PLoS Computational Biology.

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.

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