Francesco de Pasquale
- Cognitive Neuroscience top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Experimental and Cognitive Psychology top 2%
- Cellular and Molecular Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Co-authors
- Stefania Della PennaMaurizio CorbettaGian Luca RomaniLaura MarzettiOlaf SpornsVittorio PizzellaGary H. GloverVesa Kiviniemi
- Topics
- Functional Brain Connectivity Studies (26 papers)Neural dynamics and brain function (21 papers)Advanced MRI Techniques and Applications (9 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Francesco de Pasquale
50 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 3.8k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Experimental and Cognitive Psychology 510
- Cellular and Molecular Neuroscience 297
- Psychiatry and Mental health 246
Countries citing papers authored by Francesco de Pasquale
This map shows the geographic impact of Francesco de Pasquale'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 Francesco de Pasquale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco de Pasquale more than expected).
Fields of papers citing papers by Francesco de Pasquale
This network shows the impact of papers produced by Francesco de Pasquale. 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 Francesco de Pasquale. The network helps show where Francesco de Pasquale may publish in the future.
Co-authorship network of co-authors of Francesco de Pasquale
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco de Pasquale. A scholar is included among the top collaborators of Francesco de Pasquale 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 Francesco de Pasquale. Francesco de Pasquale 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 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 27 | |
| 12 | 13 | |
| 13 | 11 | |
| 14 | 12 | |
| 15 | 77 | |
| 16 | 114 | |
| 17 | 91 | |
| 18 | 22 | |
| 19 | 82 | |
| 20 | 2 |
About Francesco de Pasquale
Francesco de Pasquale is a scholar working on Cognitive Neuroscience, Computational Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 4.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (26 papers), Neural dynamics and brain function (21 papers) and Advanced MRI Techniques and Applications (9 papers). The work is most often cited by research in Cognitive Neuroscience (3.8k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Experimental and Cognitive Psychology (510 citations). Francesco de Pasquale has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Stefania Della Penna, Maurizio Corbetta, Gian Luca Romani, Laura Marzetti, Olaf Sporns, Vittorio Pizzella, Gary H. Glover, Vesa Kiviniemi, Thilo Womelsdorf and Catie Chang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.