Diego Sona
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
-
- Neural dynamics and brain function 18
- Functional Brain Connectivity Studies 17
-
- Advanced Neuroimaging Techniques and Applications 15
- Advanced MRI Techniques and Applications 6
- Co-authors
- Vittorio Murino (35 shared papers)Paolo Avesani (10 shared papers)Luca Giancardo (5 shared papers)Francesco Papaleo (5 shared papers)Alessandro Sperduti (7 shared papers)Huiping Huang (4 shared papers)Francesca Managò (2 shared papers)Diego Scheggia (2 shared papers)
- Journals
- Scientific Reports (3 papers)NeuroImage (3 papers)Human Brain Mapping (2 papers)Cell Reports (1 paper)Neurology (1 paper)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Diego Sona
62 papers receiving 844 citations
Peers
Comparison fields: 5 of 123
- Cognitive Neuroscience 239
- Computational Mathematics 7
- Pharmacy 59
- Endocrine and Autonomic Systems 55
- Social Psychology 161
Countries citing papers authored by Diego Sona
This map shows the geographic impact of Diego Sona'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 Diego Sona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Sona more than expected).
Fields of papers citing papers by Diego Sona
This network shows the impact of papers produced by Diego Sona. 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 Diego Sona. The network helps show where Diego Sona may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Sona, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 159 | |
| 2 | 2019 | 114 | |
| 3 | 2017 | 84 | |
| 4 | 2013 | 63 | |
| 5 | 2015 | 46 | |
| 6 | 2004 | 39 | |
| 7 | 2015 | 29 | |
| 8 | 2014 | 26 | |
| 9 | 2003 | 24 | |
| 10 | 2021 | 19 | |
| 11 | 2003 | 19 | |
| 12 | 2004 | 19 | |
| 13 | 2005 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2000 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2006 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2018 | 10 |
About Diego Sona
Diego Sona is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, having authored 67 papers that have together received 878 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Functional Brain Connectivity Studies (17 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Text and Document Classification Technologies (7 papers), Neural Networks and Applications (7 papers), Advanced MRI Techniques and Applications (6 papers), Cell Image Analysis Techniques (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (239 citations), Computational Mathematics (7 citations), Pharmacy (59 citations), Endocrine and Autonomic Systems (55 citations) and Social Psychology (161 citations). Diego Sona has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Vittorio Murino, Paolo Avesani, Luca Giancardo, Francesco Papaleo, Alessandro Sperduti, Huiping Huang, Francesca Managò, Diego Scheggia, Sara Sannino and Michael Dayan. Their work appears in journals such as Scientific Reports, NeuroImage, Human Brain Mapping, Cell Reports and Neurology.
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.