M. Prezioso

5.7k citations
43 papers · 4.5k indexed · 2 hit papers · h-index 22

Impact in

Papers in

M. Prezioso

43 papers receiving 4.4k citations

Hit Papers

Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits 2018 · 299 citations
299201520262018202250010001.5k2.0k

Peers

M. Prezioso
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 1.9k
  • Electrical and Electronic Engineering 4.3k
  • Polymers and Plastics 550
  • Cognitive Neuroscience 698
  • Artificial Intelligence 721
Replace Saumil Joshi with:
Saumil Joshi United States
Brian D. Hoskins United States
Xiangshui Miao China
Byung‐Gook Park South Korea
Matthew Marinella United States
Catherine E. Graves United States
Zhiyong Li United States
Mingyi Rao United States
Wenqiang Zhang China
Suhas Kumar United States
M. Prezioso relative to Saumil Joshi United States Saumil Joshi's profile →
Citations per field
00.5×9.8×
Saumil Joshi · 1×
Citations per year

Countries citing papers authored by M. Prezioso

Since Specialization
Citations

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

Fields of papers citing papers by M. Prezioso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Prezioso, 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 M. Prezioso Line = papers co-authored together M. Prezioso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 201983
3
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Hit paper breakdown →
2018299
4 2018178
5 2017157
6 2016157
7 20166
8 20162
9 201617
10
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Hit paper breakdown →
20152292
11 201515
12 201543
13 201415
14 20148
15 201255
16 201287
17 201153
18 201191
19 200737
20 20062

About M. Prezioso

M. Prezioso is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Polymers and Plastics, Cognitive Neuroscience and Electronic, Optical and Magnetic Materials, having authored 43 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (30 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neuroscience and Neural Engineering (12 papers), Semiconductor materials and devices (7 papers), Neural dynamics and brain function (6 papers), Semiconductor Quantum Structures and Devices (5 papers), Electronic and Structural Properties of Oxides (5 papers) and Organic Light-Emitting Diodes Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Electrical and Electronic Engineering (4.3k citations), Polymers and Plastics (550 citations), Cognitive Neuroscience (698 citations) and Artificial Intelligence (721 citations). M. Prezioso has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Dmitri B. Strukov, Brian D. Hoskins, Konstantin K. Likharev, Gina C. Adam, Farshad Merrikh‐Bayat, F. Merrikh Bayat, Hussein Nili, Mohammad Reza Mahmoodi, Bhaswar Chakrabarti and Irina Kataeva. Their work appears in journals such as Applied Physics Letters, Scientific Reports, Nature Communications, Advanced Materials and Journal of Applied Physics.

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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