Matteo Fraschini
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Matteo DemuruArjan HillebrandFrancesco MarrosuLuca DidaciGian Luca MarcialisCornelis J. StamMichael A. WirthJennifer A. Lyon
- Topics
- EEG and Brain-Computer Interfaces (21 papers)Functional Brain Connectivity Studies (20 papers)Neural dynamics and brain function (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurologyScientific Reports
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Matteo Fraschini
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Cognitive Neuroscience 805
- Cellular and Molecular Neuroscience 171
- Neurology 122
- Neurology 97
- Radiology, Nuclear Medicine and Imaging 94
Countries citing papers authored by Matteo Fraschini
This map shows the geographic impact of Matteo Fraschini'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 Matteo Fraschini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Fraschini more than expected).
Fields of papers citing papers by Matteo Fraschini
This network shows the impact of papers produced by Matteo Fraschini. 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 Matteo Fraschini. The network helps show where Matteo Fraschini may publish in the future.
Co-authorship network of co-authors of Matteo Fraschini
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Fraschini. A scholar is included among the top collaborators of Matteo Fraschini 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 Matteo Fraschini. Matteo Fraschini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 19 | |
| 10 | 31 | |
| 11 | 25 | |
| 12 | 43 | |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 43 | |
| 16 | 10 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 39 | |
| 20 | Hierarchical Entropy Approach for Image and Signals Retrieval. | 0 |
About Matteo Fraschini
Matteo Fraschini is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Neurology, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (21 papers), Functional Brain Connectivity Studies (20 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Cognitive Neuroscience (805 citations), Neurology (122 citations) and Cellular and Molecular Neuroscience (171 citations). Matteo Fraschini has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Matteo Demuru, Arjan Hillebrand, Francesco Marrosu, Luca Didaci, Gian Luca Marcialis, Cornelis J. Stam, Michael A. Wirth, Jennifer A. Lyon, Monica Puligheddu and Gavino Faa. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.
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.