Valerio Milo

2.2k total citations
34 papers, 1.7k citations indexed

About

Valerio Milo is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Valerio Milo has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Cognitive Neuroscience. Recurrent topics in Valerio Milo's work include Advanced Memory and Neural Computing (34 papers), Ferroelectric and Negative Capacitance Devices (21 papers) and Neural dynamics and brain function (8 papers). Valerio Milo is often cited by papers focused on Advanced Memory and Neural Computing (34 papers), Ferroelectric and Negative Capacitance Devices (21 papers) and Neural dynamics and brain function (8 papers). Valerio Milo collaborates with scholars based in Italy, Germany and United States. Valerio Milo's co-authors include Daniele Ielmini, Nirmal Ramaswamy, Alessandro Calderoni, Stefano Ambrogio, Roberto Carboni, Giacomo Pedretti, Alessandro S. Spinelli, Zhongqiang Wang, Simone Balatti and Wei Wang and has published in prestigious journals such as Scientific Reports, Science Advances and IEEE Transactions on Electron Devices.

In The Last Decade

Valerio Milo

33 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valerio Milo Italy 21 1.6k 709 363 271 185 34 1.7k
Sukru Burc Eryilmaz United States 8 1.7k 1.0× 623 0.9× 257 0.7× 368 1.4× 188 1.0× 14 1.8k
Peng Yan United States 10 1.5k 0.9× 636 0.9× 294 0.8× 286 1.1× 155 0.8× 13 1.6k
Nirmal Ramaswamy United States 22 1.6k 1.0× 586 0.8× 286 0.8× 173 0.6× 194 1.0× 38 1.7k
Daniel Belkin United States 5 1.3k 0.8× 552 0.8× 287 0.8× 278 1.0× 119 0.6× 8 1.4k
Christian Gamrat France 18 2.2k 1.3× 1.0k 1.4× 639 1.8× 452 1.7× 188 1.0× 36 2.3k
Alessandro Calderoni Italy 23 1.7k 1.1× 587 0.8× 289 0.8× 181 0.7× 223 1.2× 51 1.8k
Alexander Serb United Kingdom 23 1.9k 1.2× 1.1k 1.6× 547 1.5× 193 0.7× 240 1.3× 99 2.1k
Giacomo Pedretti Italy 21 1.8k 1.1× 595 0.8× 459 1.3× 631 2.3× 169 0.9× 64 2.0k
Qingjiang Li China 19 1.3k 0.8× 586 0.8× 211 0.6× 155 0.6× 225 1.2× 113 1.4k
Junwoo Jang South Korea 16 1.8k 1.1× 666 0.9× 268 0.7× 370 1.4× 208 1.1× 26 1.8k

Countries citing papers authored by Valerio Milo

Since Specialization
Citations

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

Fields of papers citing papers by Valerio Milo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerio Milo

This figure shows the co-authorship network connecting the top 25 collaborators of Valerio Milo. A scholar is included among the top collaborators of Valerio Milo 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 Valerio Milo. Valerio Milo 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.
2.
Milo, Valerio, Cristian Zambelli, P. Olivo, et al.. (2022). Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators. Institutional Research Information System University of Ferrara (University of Ferrara). 3C.3–1. 7 indexed citations
3.
Milo, Valerio, Eduardo Pérez, Cristian Zambelli, et al.. (2021). Accurate Program/Verify Schemes of Resistive Switching Memory (RRAM) for In-Memory Neural Network Circuits. IEEE Transactions on Electron Devices. 68(8). 3832–3837. 67 indexed citations
4.
Milo, Valerio, Cristian Zambelli, Eduardo Pérez, et al.. (2021). Optimized programming algorithms for multilevel RRAM in hardware neural networks. UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid). 1–6. 22 indexed citations
5.
Pedretti, Giacomo, Valerio Milo, Shahin Hashemkhani, et al.. (2020). A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 4 indexed citations
6.
Pedretti, Giacomo, Piergiulio Mannocci, Shahin Hashemkhani, et al.. (2020). A Spiking Recurrent Neural Network With Phase-Change Memory Neurons and Synapses for the Accelerated Solution of Constraint Satisfaction Problems. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 6(1). 89–97. 28 indexed citations
7.
Milo, Valerio, Gerardo Malavena, Christian Monzio Compagnoni, & Daniele Ielmini. (2020). Memristive and CMOS Devices for Neuromorphic Computing. Materials. 13(1). 166–166. 99 indexed citations
8.
Covi, Erika, Yu‐Hsuan Lin, Wei Wang, et al.. (2019). A Volatile RRAM Synapse for Neuromorphic Computing. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 903–906. 22 indexed citations
9.
Wang, Wei, Giacomo Pedretti, Valerio Milo, et al.. (2018). Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses. Science Advances. 4(9). eaat4752–eaat4752. 211 indexed citations
10.
Milo, Valerio, Giacomo Pedretti, Mario Laudato, et al.. (2018). Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 12 indexed citations
11.
Wang, Wei, Giacomo Pedretti, Valerio Milo, et al.. (2018). Computing of temporal information in spiking neural networks with ReRAM synapses. Faraday Discussions. 213(0). 453–469. 32 indexed citations
12.
Pedretti, Giacomo, Valerio Milo, Stefano Ambrogio, et al.. (2017). Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity. Scientific Reports. 7(1). 132 indexed citations
13.
Pedretti, Giacomo, S. Bianchi, Valerio Milo, et al.. (2017). Modeling-based design of brain-inspired spiking neural networks with RRAM learning synapses. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 28.1.1–28.1.4. 20 indexed citations
14.
Ielmini, Daniele & Valerio Milo. (2017). Physics-based modeling approaches of resistive switching devices for memory and in-memory computing applications. Journal of Computational Electronics. 16(4). 1121–1143. 62 indexed citations
15.
Milo, Valerio, Giacomo Pedretti, Roberto Carboni, et al.. (2016). Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 16.8.1–16.8.4. 54 indexed citations
16.
Balatti, Simone, Stefano Ambrogio, Roberto Carboni, et al.. (2016). Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices. IEEE Transactions on Electron Devices. 63(5). 2029–2035. 100 indexed citations
17.
Ambrogio, Stefano, Valerio Milo, Zhongqiang Wang, Simone Balatti, & Daniele Ielmini. (2016). Analytical Modeling of Current Overshoot in Oxide-Based Resistive Switching Memory (RRAM). IEEE Electron Device Letters. 37(10). 1268–1271. 22 indexed citations
18.
Ambrogio, Stefano, Nicola Ciocchini, Mario Laudato, et al.. (2016). Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses. Frontiers in Neuroscience. 10. 56–56. 185 indexed citations
19.
Ambrogio, Stefano, Simone Balatti, Valerio Milo, et al.. (2016). Novel RRAM-enabled 1T1R synapse capable of low-power STDP via burst-mode communication and real-time unsupervised machine learning. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–2. 32 indexed citations
20.
Ielmini, Daniele, Stefano Ambrogio, Valerio Milo, Simone Balatti, & Zhongqiang Wang. (2016). Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning. 12. 1386–1389. 7 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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