Francesca Strappini
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Molecular Biology
- Co-authors
- Sabrina PitzalisFrancesco Di RussoTal GolanAlessandro BultriniGaspare GalatiMeytal WilfMichal HarelRafael Malach
- Topics
- Visual perception and processing mechanisms (12 papers)Neural dynamics and brain function (12 papers)Functional Brain Connectivity Studies (7 papers)
- Journals
- PLoS ONENeuroImageScientific Reports
- Partner nations
- ItalyIsraelUnited States
In The Last Decade
Francesca Strappini
21 papers receiving 277 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 233
- Computer Vision and Pattern Recognition 26
- Radiology, Nuclear Medicine and Imaging 24
- Neurology 23
- Molecular Biology 22
Countries citing papers authored by Francesca Strappini
This map shows the geographic impact of Francesca Strappini'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 Francesca Strappini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Strappini more than expected).
Fields of papers citing papers by Francesca Strappini
This network shows the impact of papers produced by Francesca Strappini. 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 Francesca Strappini. The network helps show where Francesca Strappini may publish in the future.
Co-authorship network of co-authors of Francesca Strappini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Strappini. A scholar is included among the top collaborators of Francesca Strappini 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 Francesca Strappini. Francesca Strappini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 35 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI | 6 |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 33 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 37 | |
| 20 | 51 |
About Francesca Strappini
Francesca Strappini is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology, having authored 23 papers that have together received 279 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (12 papers), Neural dynamics and brain function (12 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Cognitive Neuroscience (233 citations), Neurology (23 citations) and Biophysics (10 citations). Francesca Strappini has collaborated with scholars based in Italy, Israel and United States. Frequent co-authors include Sabrina Pitzalis, Francesco Di Russo, Tal Golan, Alessandro Bultrini, Gaspare Galati, Meytal Wilf, Michal Harel, Rafael Malach, Avital Hahamy and Stefano Sdoia. Their work appears in journals such as PLoS ONE, NeuroImage 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.