Gianluca Susi
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- A. CristiniGiacomo CapizziGrazia Lo SciutoLuca Di NunzioM. ReG.C. CardarilliMário Sérgio SalernoSebastian Brusca
- Topics
- Neural dynamics and brain function (20 papers)Advanced Memory and Neural Computing (14 papers)Functional Brain Connectivity Studies (9 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Partner nations
- SpainItalyUnited States
In The Last Decade
Gianluca Susi
31 papers receiving 249 citations
Peers
Comparison fields: 5 of 83
- Electrical and Electronic Engineering 119
- Cognitive Neuroscience 102
- Artificial Intelligence 58
- Cellular and Molecular Neuroscience 52
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Gianluca Susi
This map shows the geographic impact of Gianluca Susi'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 Gianluca Susi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Susi more than expected).
Fields of papers citing papers by Gianluca Susi
This network shows the impact of papers produced by Gianluca Susi. 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 Gianluca Susi. The network helps show where Gianluca Susi may publish in the future.
Co-authorship network of co-authors of Gianluca Susi
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Susi. A scholar is included among the top collaborators of Gianluca Susi 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 Gianluca Susi. Gianluca Susi 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 | 5 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | 26 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | AudiNect: an aid for the autonomous navigation of visually impaired people, based on virtual interface | 8 |
| 17 | Spiking Neural Networks As Continuous-Time Dynamical Systems: Fundamentals, Elementary Structures And Simple Applications | 2 |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 2 |
About Gianluca Susi
Gianluca Susi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 33 papers that have together received 261 indexed citations. Recurring topics across this work include Neural dynamics and brain function (20 papers), Advanced Memory and Neural Computing (14 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Cognitive Neuroscience (102 citations), Cellular and Molecular Neuroscience (52 citations) and Electrical and Electronic Engineering (119 citations). Gianluca Susi has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include A. Cristini, Giacomo Capizzi, Grazia Lo Sciuto, Luca Di Nunzio, M. Re, G.C. Cardarilli, Mário Sérgio Salerno, Sebastian Brusca, Rocco Fazzolari and Francesca Gozzo. Their work appears in journals such as Journal of Neuroscience, Scientific Reports and PLoS Computational Biology.
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.