Davide Valeriani

756 citations
28 papers · 385 · h-index 10

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Functional Brain Connectivity Studies
    • Neuroethics, Human Enhancement, Biomedical Innovations
    • Neuroscience and Neural Engineering

Papers in

Davide Valeriani

28 papers receiving 370 citations

Peers

Davide Valeriani
Comparison fields: 5 of 76
  • Cognitive Neuroscience 278
  • Cellular and Molecular Neuroscience 110
  • Human-Computer Interaction 29
  • Neurology 32
  • Health Informatics 3
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Guy H Wilson United States
Loïc Botrel Germany
Edward Jacek Gorzelańczyk Poland
Attila Korik United Kingdom
Zhiguo Luo China
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Citations per year

Countries citing papers authored by Davide Valeriani

Since Specialization
Citations

This map shows the geographic impact of Davide Valeriani'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 Davide Valeriani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Valeriani more than expected).

Fields of papers citing papers by Davide Valeriani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davide Valeriani. 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 Davide Valeriani. The network helps show where Davide Valeriani may publish in the future.

Co-authors

The 25 scholars most cited alongside Davide Valeriani, 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 Davide Valeriani Line = papers co-authored together Davide Valeriani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 201442
3 202034
4 201733
5 201630
6 202219
7 201913
8 201513
9 201511
10 202110
11 20218
12 20158
13 20217
14 20177
15 20216
16 20215
17 20195
18 20225
19 20194
20 20224

About Davide Valeriani

Davide Valeriani is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Neurology and Artificial Intelligence, having authored 28 papers that have together received 385 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (24 papers), Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (8 papers), Neural and Behavioral Psychology Studies (8 papers), Advanced Memory and Neural Computing (8 papers), Functional Brain Connectivity Studies (4 papers), Neurological disorders and treatments (2 papers) and Cognitive Science and Mapping (2 papers). The work is most often cited by research in Cognitive Neuroscience (278 citations), Cellular and Molecular Neuroscience (110 citations), Human-Computer Interaction (29 citations), Neurology (32 citations) and Health Informatics (3 citations). Davide Valeriani has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Riccardo Poli, Caterina Cinel, Kristina Simonyan, Francesca Santoro, Marcello Ienca, Luca Citi, Saugat Bhattacharyya, Ali A. Hossaini, Chang S. Nam and Alberto Antonietti. Their work appears in journals such as PLoS ONE, Journal of Neural Engineering, Scientific Reports, Frontiers in Neurorobotics and IEEE Transactions on Biomedical Engineering.

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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