Gianluca Milano

2.2k total citations · 1 hit paper
60 papers, 1.4k citations indexed

About

Gianluca Milano is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Gianluca Milano has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 21 papers in Cellular and Molecular Neuroscience and 17 papers in Cognitive Neuroscience. Recurrent topics in Gianluca Milano's work include Advanced Memory and Neural Computing (46 papers), Neural dynamics and brain function (17 papers) and Neuroscience and Neural Engineering (16 papers). Gianluca Milano is often cited by papers focused on Advanced Memory and Neural Computing (46 papers), Neural dynamics and brain function (17 papers) and Neuroscience and Neural Engineering (16 papers). Gianluca Milano collaborates with scholars based in Italy, Germany and Spain. Gianluca Milano's co-authors include Carlo Ricciardi, Luca Boarino, Ilia Valov, Samuele Porro, Kevin Montano, Daniele Ielmini, Giacomo Pedretti, Candido Fabrizio Pirri, Saverio Ricci and Shahin Hashemkhani and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Materials.

In The Last Decade

Gianluca Milano

59 papers receiving 1.4k citations

Hit Papers

In materia reservoir computing with a fully memristive ar... 2021 2026 2022 2024 2021 100 200 300

Peers

Gianluca Milano
Zuheng Wu China
Jiadi Zhu China
Adnan Mehonić United Kingdom
YeonJoo Jeong South Korea
Gianluca Milano
Citations per year, relative to Gianluca Milano Gianluca Milano (= 1×) peers Bingjie Dang

Countries citing papers authored by Gianluca Milano

Since Specialization
Citations

This map shows the geographic impact of Gianluca Milano'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 Milano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Milano more than expected).

Fields of papers citing papers by Gianluca Milano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianluca Milano. 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 Milano. The network helps show where Gianluca Milano may publish in the future.

Co-authorship network of co-authors of Gianluca Milano

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Milano. A scholar is included among the top collaborators of Gianluca Milano 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 Milano. Gianluca Milano 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.
Lupi, Federico Ferrarese, Gianluca Milano, Angelo Angelini, et al.. (2025). Enhanced Photoluminescence in a Neuromorphic 2D Memitter Based on WS2 via Plasmonic Nanoparticle Self-Assembly. ACS Applied Materials & Interfaces. 17(24). 35695–35704. 1 indexed citations
2.
Perego, Michele, et al.. (2025). Enabling data-driven design of block copolymer self-assembly. Scientific Data. 12(1). 1055–1055. 1 indexed citations
3.
Milano, Gianluca, Luca Boarino, Luca Callegaro, et al.. (2025). A quantum resistance memristor for an intrinsically traceable International System of Units standard. Nature Nanotechnology. 20(12). 1884–1890. 1 indexed citations
4.
Milano, Gianluca, et al.. (2025). Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics. Advanced Functional Materials. 35(30). 3 indexed citations
5.
Vahl, Alexander, Gianluca Milano, Zdenka Kuncic, S. A. Brown, & Paolo Milani. (2024). Brain-inspired computing with self-assembled networks of nano-objects. Journal of Physics D Applied Physics. 57(50). 503001–503001. 12 indexed citations
6.
Carignano, Stefano, et al.. (2024). Artificial fingerprints engraved through block-copolymers as nanoscale physical unclonable functions for authentication and identification. Nature Communications. 15(1). 10576–10576. 7 indexed citations
7.
Lupi, Federico Ferrarese, Gianluca Milano, Angelo Angelini, et al.. (2024). Synaptic Plasticity and Visual Memory in a Neuromorphic 2D Memitter Based on WS2 Monolayers. Advanced Functional Materials. 34(32). 13 indexed citations
8.
Klapetek, Petr, Mara Serrapede, Natascia De Leo, et al.. (2023). Electrical and Thermal Conductivities of Single CuxO Nanowires. Nanomaterials. 13(21). 2822–2822. 6 indexed citations
9.
Fretto, Matteo, Katarzyna Bejtka, Elena Sonia Olivetti, et al.. (2023). Resistive switching and role of interfaces in memristive devices based on amorphous NbOx grown by anodic oxidation. Physical Chemistry Chemical Physics. 25(21). 14766–14777. 5 indexed citations
10.
Caravelli, Francesco, Gianluca Milano, Carlo Ricciardi, & Zdenka Kuncic. (2023). Mean Field Theory of Self‐Organizing Memristive Connectomes. Annalen der Physik. 535(8). 14 indexed citations
11.
Fretto, Matteo, et al.. (2023). Effect of electrode materials on resistive switching behaviour of NbOx-based memristive devices. Scientific Reports. 13(1). 17003–17003. 13 indexed citations
12.
Milano, Gianluca, Kevin Montano, & Carlo Ricciardi. (2023). In materia implementation strategies of physical reservoir computing with memristive nanonetworks. Journal of Physics D Applied Physics. 56(8). 84005–84005. 22 indexed citations
13.
Milano, Gianluca, Masakazu Aono, Luca Boarino, et al.. (2022). Quantum Conductance in Memristive Devices: Fundamentals, Developments, and Applications. Advanced Materials. 34(32). e2201248–e2201248. 68 indexed citations
14.
Milano, Gianluca, et al.. (2022). Speech recognition through physical reservoir computing with neuromorphic nanowire networks. 2022 International Joint Conference on Neural Networks (IJCNN). 1–6. 5 indexed citations
15.
Milano, Gianluca, E. Miranda, & Carlo Ricciardi. (2022). Connectome of memristive nanowire networks through graph theory. Neural Networks. 150. 137–148. 31 indexed citations
16.
Milano, Gianluca, et al.. (2021). Recommended implementation of electrical resistance tomography for conductivity mapping of metallic nanowire networks using voltage excitation. Scientific Reports. 11(1). 13167–13167. 10 indexed citations
17.
Milano, Gianluca, Luca Boarino, & Carlo Ricciardi. (2019). Junction properties of single ZnO nanowires with asymmetrical Pt and Cu contacts. Nanotechnology. 30(24). 244001–244001. 21 indexed citations
18.
Conti, David V., Marco Laurenti, Samuele Porro, et al.. (2018). Resistive switching in sub-micrometric ZnO polycrystalline films. Nanotechnology. 30(6). 65707–65707. 17 indexed citations
19.
Porro, Samuele, Katarzyna Bejtka, Marco Fontana, et al.. (2018). A multi-level memristor based on atomic layer deposition of iron oxide. Nanotechnology. 29(49). 495201–495201. 33 indexed citations
20.
Milano, Gianluca, Ernesto Odriozola, & Tatiana López. (1991). Lack of effect of a diet containing zearalenone on spermatogenesis in rams. Veterinary Record. 129(2). 33–35. 13 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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