Paolo Belardinelli

5.1k citations
84 papers · 3.0k indexed · 1 hit paper · h-index 29
Topics
Neural dynamics and brain function (41 papers)Transcranial Magnetic Stimulation Studies (39 papers)EEG and Brain-Computer Interfaces (39 papers)
Partner nations
GermanyItalyFinland

In The Last Decade

Paolo Belardinelli

82 papers receiving 3.0k citations

Hit Papers

Temporal dynamics of spontaneous MEG activity in brain ne...20102026201520202010100200300400500

Peers

Paolo Belardinelli
Comparison fields: 5 of 96
  • Cognitive Neuroscience 2.5k
  • Neurology 1.3k
  • Cellular and Molecular Neuroscience 426
  • Radiology, Nuclear Medicine and Imaging 270
  • Neurology 267
Replace Domenica Veniero with:
Domenica Veniero Italy
Mark C. Eldaief United States
Maria Concetta Pellicciari Italy
Nigel C. Rogasch Australia
Elias Paolo Casula Italy
Mark A. Halko United States
Giorgi Batsikadze Germany
Davide Reato United States
Florian Müller‐Dahlhaus Germany
Ethan R. Buch United States
Paolo Belardinelli relative to Domenica Veniero Italy Domenica Veniero's profile →
Citations per field
00.5×1.5×1.9×
Domenica Veniero · 1×
Citations per year

Countries citing papers authored by Paolo Belardinelli

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Belardinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Belardinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Belardinelli. A scholar is included among the top collaborators of Paolo Belardinelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paolo Belardinelli. Paolo Belardinelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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5 1
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7 11
8 10
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10 9
11 19
12 98
13 8
14 48
15 6
16 47
17 68
18 19
19 269
20 44

About Paolo Belardinelli

Paolo Belardinelli is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 84 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (41 papers), Transcranial Magnetic Stimulation Studies (39 papers) and EEG and Brain-Computer Interfaces (39 papers). The work is most often cited by research in Neurology (1.3k citations), Cognitive Neuroscience (2.5k citations) and Cellular and Molecular Neuroscience (426 citations). Paolo Belardinelli has collaborated with scholars based in Germany, Italy and Finland. Frequent co-authors include Ulf Ziemann, Christoph Zrenner, Debora Desideri, Florian Müller‐Dahlhaus, Pedro Caldana Gordon, Isabella Premoli, Vittorio Pizzella, Gian Luca Romani, Stefania Della Penna and Carl Moritz Zipser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.

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