Valerio Milo

2.2k citations
34 papers · 1.7k indexed · h-index 21

Valerio Milo

33 papers receiving 1.6k citations

Peers

Valerio Milo
Comparison fields: 5 of 51
  • Cellular and Molecular Neuroscience 709
  • Electrical and Electronic Engineering 1.6k
  • Cognitive Neuroscience 363
  • Polymers and Plastics 185
  • Artificial Intelligence 271
Replace Peng Yan with:
Peng Yan United States
Nirmal Ramaswamy United States
Sukru Burc Eryilmaz United States
Christian Mayr Germany
Giacomo Pedretti Italy
Christian Gamrat France
Daniel Belkin United States
Alessandro Calderoni Italy
Qingjiang Li China
Xiaoyan Liu China
Valerio Milo relative to Peng Yan United States Peng Yan's profile →
Citations per field
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Peng Yan · 1×
Citations per year

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

The 25 scholars most cited alongside Valerio Milo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valerio Milo Line = papers co-authored together Valerio Milo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20227
3 202167
4 20204
5 202028
6 202099
7 201922
8 201812
9 2018211
10 20184
11 201832
12 2017132
13 201762
14 201720
15 201741
16 201622
17 2016185
18 201654
19 2016100
20 201632

About Valerio Milo

Valerio Milo is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (34 papers), Ferroelectric and Negative Capacitance Devices (21 papers), Neural dynamics and brain function (8 papers), Photoreceptor and optogenetics research (7 papers), Semiconductor materials and devices (7 papers), CCD and CMOS Imaging Sensors (5 papers), Neuroscience and Neural Engineering (4 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (709 citations), Electrical and Electronic Engineering (1.6k citations) and Cognitive Neuroscience (363 citations). Valerio Milo has collaborated with scholars based in Italy, Germany and United States. Frequent 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. Their work appears in journals such as IEEE Transactions on Electron Devices, Advanced Theory and Simulations, Scientific Reports, IEEE Electron Device Letters and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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