Diego Sona
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Health Informatics top 10%
Papers in
-
- Neural dynamics and brain function 21
- Functional Brain Connectivity Studies 21
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- Advanced Neuroimaging Techniques and Applications 18
- Advanced MRI Techniques and Applications 6
- Co-authors
- Vittorio Murino (43 shared papers)Paolo Avesani (14 shared papers)Alessandro Sperduti (10 shared papers)Luca Dodero (12 shared papers)Michael J. Dayan (9 shared papers)Luca Giancardo (5 shared papers)Francesco Papaleo (5 shared papers)Huiping Huang (4 shared papers)
- Journals
- Scientific Reports (3 papers)NeuroImage (3 papers)Human Brain Mapping (2 papers)Medical Image Analysis (2 papers)Lecture notes in computer science (14 papers)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Diego Sona
81 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 314
- Health Informatics 24
- Pharmacy 58
- Neurology 76
- Computational Mathematics 6
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 170 | |
| 2 | 2019 | 135 | |
| 3 | 2017 | 92 | |
| 4 | 2021 | 78 | |
| 5 | 2013 | 71 | |
| 6 | 2015 | 51 | |
| 7 | 2004 | 51 | |
| 8 | 2015 | 37 | |
| 9 | 2014 | 29 | |
| 10 | 2003 | 28 | |
| 11 | 2004 | 23 | |
| 12 | 2003 | 20 | |
| 13 | 2021 | 20 | |
| 14 | 2005 | 20 | |
| 15 | 2015 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2019 | 14 |
About Diego Sona
Diego Sona is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (21 papers), Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Text and Document Classification Technologies (9 papers), Neural Networks and Applications (9 papers), Cell Image Analysis Techniques (6 papers), Advanced MRI Techniques and Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (314 citations), Health Informatics (24 citations), Pharmacy (58 citations), Neurology (76 citations) and Computational Mathematics (6 citations). Diego Sona has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Vittorio Murino, Paolo Avesani, Alessandro Sperduti, Luca Dodero, Michael J. Dayan, Luca Giancardo, Francesco Papaleo, Huiping Huang, Shahab Aslani and Diego Scheggia. Their work appears in journals such as Scientific Reports, NeuroImage, Human Brain Mapping, Medical Image Analysis and Lecture notes in computer science.
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.