Ulisse Ferrari
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Molecular Biology
- Condensed Matter Physics
- Materials Chemistry
- Co-authors
- Giorgio ParisiTommaso RizzoOlivier MarreLuca LeuzziSerge PicaudFrancesco CaltagironeJosé‐Alain SahelStéphane Deny
- Topics
- Neural dynamics and brain function (15 papers)Theoretical and Computational Physics (6 papers)Photoreceptor and optogenetics research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- FranceItalyUnited States
In The Last Decade
Ulisse Ferrari
25 papers receiving 327 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 142
- Cellular and Molecular Neuroscience 110
- Molecular Biology 94
- Condensed Matter Physics 64
- Materials Chemistry 56
Countries citing papers authored by Ulisse Ferrari
This map shows the geographic impact of Ulisse Ferrari'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 Ulisse Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulisse Ferrari more than expected).
Fields of papers citing papers by Ulisse Ferrari
This network shows the impact of papers produced by Ulisse Ferrari. 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 Ulisse Ferrari. The network helps show where Ulisse Ferrari may publish in the future.
Co-authorship network of co-authors of Ulisse Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Ulisse Ferrari. A scholar is included among the top collaborators of Ulisse Ferrari 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 Ulisse Ferrari. Ulisse Ferrari 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 | 3 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 44 | |
| 9 | 25 | |
| 10 | 26 | |
| 11 | 20 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 31 | |
| 20 | 20 |
About Ulisse Ferrari
Ulisse Ferrari is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Condensed Matter Physics, having authored 26 papers that have together received 341 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Theoretical and Computational Physics (6 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Cognitive Neuroscience (142 citations), Cellular and Molecular Neuroscience (110 citations) and Condensed Matter Physics (64 citations). Ulisse Ferrari has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Giorgio Parisi, Tommaso Rizzo, Olivier Marre, Luca Leuzzi, Serge Picaud, Francesco Caltagirone, José‐Alain Sahel, Stéphane Deny, Federico Ricci‐Tersenghi and Thierry Mora. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.