Gianluca Susi

432 total citations
33 papers, 261 citations indexed

About

Gianluca Susi is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gianluca Susi has authored 33 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 16 papers in Electrical and Electronic Engineering and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gianluca Susi's work include Neural dynamics and brain function (20 papers), Advanced Memory and Neural Computing (14 papers) and Functional Brain Connectivity Studies (9 papers). Gianluca Susi is often cited by papers focused on Neural dynamics and brain function (20 papers), Advanced Memory and Neural Computing (14 papers) and Functional Brain Connectivity Studies (9 papers). Gianluca Susi collaborates with scholars based in Spain, Italy and United States. Gianluca Susi's 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 and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and PLoS Computational Biology.

In The Last Decade

Gianluca Susi

31 papers receiving 249 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gianluca Susi Spain 10 119 102 58 52 20 33 261
Xinyu Hao China 9 109 0.9× 91 0.9× 66 1.1× 48 0.9× 22 1.1× 37 305
Zunchao Li China 11 284 2.4× 141 1.4× 46 0.8× 42 0.8× 22 1.1× 44 461
Huihui Zhou China 7 199 1.7× 286 2.8× 112 1.9× 64 1.2× 24 1.2× 17 446
Shiqi Zhao China 9 66 0.6× 107 1.0× 23 0.4× 32 0.6× 28 1.4× 31 250
Xiaolin Hong China 7 43 0.4× 191 1.9× 44 0.8× 30 0.6× 15 0.8× 12 317
Deba Prasad Dash India 12 163 1.4× 128 1.3× 56 1.0× 11 0.2× 40 2.0× 30 388
Jarosław Zygarlicki Poland 9 204 1.7× 162 1.6× 27 0.5× 62 1.2× 17 0.8× 36 430
Haifeng Wu China 10 212 1.8× 35 0.3× 33 0.6× 13 0.3× 12 0.6× 41 328

Countries citing papers authored by Gianluca Susi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bruña, Ricardo, et al.. (2025). The fluctuations of alpha power: Bimodalities, connectivity, and neural mass models. Imaging Neuroscience. 3. 1 indexed citations
2.
Stefanovski, Leon, et al.. (2024). A Multiscale Closed-Loop Neurotoxicity Model of Alzheimer’s Disease Progression Explains Functional Connectivity Alterations. eNeuro. 11(4). ENEURO.0345–23.2023. 5 indexed citations
3.
Susi, Gianluca, et al.. (2024). A Shift Toward Supercritical Brain Dynamics Predicts Alzheimer’s Disease Progression. Journal of Neuroscience. 45(9). e0688242024–e0688242024. 4 indexed citations
4.
Susi, Gianluca, et al.. (2024). Multiscale detrended cross-correlation coefficient: estimating coupling in non-stationary neurophysiological signals. Frontiers in Neuroscience. 18. 1422085–1422085.
5.
Gómez‐Ariza, Carlos J., et al.. (2023). Understanding the effects of cortical gyrification in tACS: insights from experiments and computational models. Frontiers in Neuroscience. 17. 1223950–1223950. 2 indexed citations
6.
Maestú, Fernando, et al.. (2023). Modeling the role of the thalamus in resting-state functional connectivity: Nature or structure. PLoS Computational Biology. 19(8). e1011007–e1011007. 3 indexed citations
7.
Susi, Gianluca, Pilar Garcés, A. Cristini, et al.. (2021). FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency. Scientific Reports. 11(1). 12160–12160. 6 indexed citations
8.
Varotto, Giulia, Gianluca Susi, Laura Tassi, et al.. (2021). Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy. Frontiers in Neuroinformatics. 15. 715421–715421. 27 indexed citations
9.
Susi, Gianluca, et al.. (2021). nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift. Frontiers in Neuroscience. 15. 582608–582608. 4 indexed citations
10.
Capizzi, Giacomo, Grazia Lo Sciuto, Christian Napoli, Marcin Woźniak, & Gianluca Susi. (2020). A spiking neural network-based long-term prediction system for biogas production. Neural Networks. 129. 271–279. 26 indexed citations
11.
Casti, Paola, Gianluca Susi, Arianna Mencattini, et al.. (2020). A deep CNN‐based approach for predicting MCI to AD conversion. Alzheimer s & Dementia. 16(S5). 1 indexed citations
12.
Susi, Gianluca, et al.. (2019). Towards Neuro-Inspired Electronic Oscillators Based on The Dynamical Relaying Mechanism. International Journal on Advanced Science Engineering and Information Technology. 9(2). 569–574. 1 indexed citations
13.
Susi, Gianluca, et al.. (2019). A Computational Approach for the Understanding of Stochastic Resonance Phenomena in the Human Auditory System. International Journal on Advanced Science Engineering and Information Technology. 9(4). 1474–1480. 2 indexed citations
14.
Susi, Gianluca, A. Cristini, & Mário Sérgio Salerno. (2016). PATH MULTIMODALITY IN A FEEDFORWARD SNN MODULE, USING LIF WITH LATENCY MODEL. Neural Network World. 26(4). 363–376. 5 indexed citations
15.
Susi, Gianluca. (2015). Bio-Inspired Temporal-Decoding Network Topologies for the Accurate Recognition of Spike Patterns. Transactions on Machine Learning and Artificial Intelligence. 3(4). 2 indexed citations
16.
Salerno, Marco, et al.. (2013). AudiNect: an aid for the autonomous navigation of visually impaired people, based on virtual interface. International Journal of Human-Computer Interaction. 4(1). 25–33. 8 indexed citations
17.
Salerno, Mário Sérgio, et al.. (2013). Spiking Neural Networks As Continuous-Time Dynamical Systems: Fundamentals, Elementary Structures And Simple Applications. Cineca Institutional Research Information System (Tor Vergata University). 3(1). 80–89. 2 indexed citations
18.
Chambers, D. L., et al.. (1990). Stresses in sputter deposited thick coatings of chromium and zirconium diboride on polymeric composites. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 8(3). 2113–2117. 4 indexed citations
19.
Chambers, D. L., et al.. (1989). Sputter deposition of aluminum and other alloys at cryogenic temperatures. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 7(3). 1305–1309. 3 indexed citations
20.
Chambers, D. L., et al.. (1988). Sputtering deposition of thin films at cryogenic temperatures. Surface and Coatings Technology. 36(3-4). 893–900. 2 indexed citations

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.

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