Marianna Cavinato
- Cognitive Neuroscience top 5%
- Epidemiology top 10%
- Neurology top 5%
- Neurology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Francesco PiccioneChiara VolpatoAntonio MericoStefano SilvoniNiels BirbaumerEmanuela FormaggioSilvia Francesca StortiPaolo Manganotti
- Topics
- EEG and Brain-Computer Interfaces (11 papers)Transcranial Magnetic Stimulation Studies (7 papers)Neuroscience and Neural Engineering (7 papers)
- Cited by
- NeurologyCognitive Neuroscience
In The Last Decade
Marianna Cavinato
27 papers receiving 862 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 495
- Epidemiology 300
- Neurology 258
- Neurology 248
- Cellular and Molecular Neuroscience 179
Countries citing papers authored by Marianna Cavinato
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 45 | |
| 3 | 21 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 18 | |
| 7 | 48 | |
| 8 | 3 | |
| 9 | 65 | |
| 10 | 5 | |
| 11 | 42 | |
| 12 | 32 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 12 | |
| 16 | 47 | |
| 17 | 55 | |
| 18 | 28 | |
| 19 | 53 | |
| 20 | Task and Stimulation Paradigm Effects in a P300 Brain Computer Interface Exploitable in a Virtual Environment: A Pilot Study | 14 |
About Marianna Cavinato
Marianna Cavinato is a scholar working on Cognitive Neuroscience, Neurology and Human-Computer Interaction, having authored 27 papers that have together received 881 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Neurology (248 citations), Cognitive Neuroscience (495 citations) and Neurology (258 citations). Marianna Cavinato has collaborated with scholars based in Italy, Germany and Australia. Frequent co-authors include Francesco Piccione, Chiara Volpato, Antonio Merico, Stefano Silvoni, Niels Birbaumer, Emanuela Formaggio, Silvia Francesca Storti, Paolo Manganotti, Paolo Tonin and Giulia Cisotto. Their work appears in journals such as PLoS ONE, Behavioural Brain Research and Clinical Neurophysiology.
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.