Piergiulio Mannocci

760 citations
33 papers · 442 · h-index 11

Impact in

Papers in

Piergiulio Mannocci

27 papers receiving 432 citations

Peers

Piergiulio Mannocci
Comparison fields: 5 of 34
  • Electrical and Electronic Engineering 371
  • Artificial Intelligence 147
  • Cellular and Molecular Neuroscience 73
  • Polymers and Plastics 31
  • Cognitive Neuroscience 36
Replace Roland Mathis with:
Roland Mathis Switzerland
Hyeongsu Kim South Korea
Alexander H. Hsia United States
Matteo Farronato Italy
Chih-Cheng Chang Taiwan
Artem Glukhov Italy
Yoon Ho Jang South Korea
Yasmin Halawani United Arab Emirates
Xingqi Zou China
Piergiulio Mannocci relative to Roland Mathis Switzerland Roland Mathis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Piergiulio Mannocci

Since Specialization
Citations

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

Fields of papers citing papers by Piergiulio Mannocci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202379
2 202274
3 202036
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7 202121
8 202220
9 202317
10 202117
11 202312
12 20229
13 20238
14 20218
15 20257
16 20257
17 20236
18 20245
19 20225
20 20205

About Piergiulio Mannocci

Piergiulio Mannocci is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Materials Chemistry, having authored 33 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (30 papers), Ferroelectric and Negative Capacitance Devices (23 papers), Neural Networks and Reservoir Computing (10 papers), Semiconductor materials and devices (7 papers), CCD and CMOS Imaging Sensors (4 papers), Neuroscience and Neural Engineering (3 papers), Phase-change materials and chalcogenides (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (371 citations), Artificial Intelligence (147 citations), Cellular and Molecular Neuroscience (73 citations), Polymers and Plastics (31 citations) and Cognitive Neuroscience (36 citations). Piergiulio Mannocci has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Daniele Ielmini, Matteo Farronato, Zhong Sun, Artem Glukhov, Giacomo Pedretti, Saverio Ricci, Christian Monzio Compagnoni, Margherita Melegari, Valerio Milo and Shahin Hashemkhani. Their work appears in journals such as IEEE Transactions on Electron Devices, Advanced Materials, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, IEEE Journal of the Electron Devices Society and IEEE Transactions on Circuits & Systems II Express Briefs.

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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