Marianna Cavinato

43 total papers · 1.2k total citations
27 papers, 877 citations indexed

About

Marianna Cavinato is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Marianna Cavinato has authored 27 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Neurology. Recurrent topics in Marianna Cavinato's work include EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (7 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Marianna Cavinato is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Neural Engineering (7 papers) and Transcranial Magnetic Stimulation Studies (7 papers). Marianna Cavinato collaborates with scholars based in Italy, Germany and United Kingdom. Marianna Cavinato's co-authors include Francesco Piccione, Chiara Volpato, Antonio Merico, Stefano Silvoni, Niels Birbaumer, Emanuela Formaggio, Paolo Manganotti, Silvia Francesca Storti, Paolo Tonin and Giulia Cisotto and has published in prestigious journals such as PLoS ONE, Behavioural Brain Research and Clinical Neurophysiology.

In The Last Decade

Marianna Cavinato

27 papers receiving 858 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marianna Cavinato 492 299 257 245 179 27 877
León Morales-Quezada 462 0.9× 124 0.4× 163 0.6× 613 2.5× 205 1.1× 42 996
Adam McNamara 584 1.2× 140 0.5× 150 0.6× 129 0.5× 30 0.2× 19 1.0k
Montserrat Bernabeu 194 0.4× 441 1.5× 251 1.0× 120 0.5× 54 0.3× 36 833
Jun Maruta 282 0.6× 472 1.6× 356 1.4× 190 0.8× 55 0.3× 39 915
Maria Daniela Cortese 256 0.5× 296 1.0× 182 0.7× 25 0.1× 66 0.4× 27 724
Elisa Visani 381 0.8× 123 0.4× 333 1.3× 123 0.5× 200 1.1× 73 1.0k
Angela Comanducci 548 1.1× 311 1.0× 184 0.7× 218 0.9× 85 0.5× 39 886
Jameson K. Holden 471 1.0× 105 0.4× 63 0.2× 66 0.3× 91 0.5× 32 726
Weiqun Song 359 0.7× 215 0.7× 147 0.6× 245 1.0× 40 0.2× 53 701
J P Derenne 178 0.4× 133 0.4× 268 1.0× 113 0.5× 56 0.3× 24 987

Countries citing papers authored by Marianna Cavinato

Since Specialization
Citations

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

Fields of papers citing papers by Marianna Cavinato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianna Cavinato

This figure shows the co-authorship network connecting the top 25 collaborators of Marianna Cavinato. A scholar is included among the top collaborators of Marianna Cavinato 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 Marianna Cavinato. Marianna Cavinato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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