Gianluca Piccinini

1.4k citations
122 papers · 970 indexed · h-index 16

Impact in

Papers in

Gianluca Piccinini

110 papers receiving 944 citations

Peers

Gianluca Piccinini
Comparison fields: 5 of 55
  • Computational Theory and Mathematics 357
  • Electrical and Electronic Engineering 785
  • Computer Networks and Communications 219
  • Electrochemistry 41
  • Hardware and Architecture 44
Replace Hua Xiang with:
Hua Xiang United States
Massimo Ruo Roch Italy
Manisha Pattanaik India
K. Goser Germany
Mariagrazia Graziano Italy
Marco Ottavi Italy
A. Bellaouar United States
Wen Li China
Reza Sabbaghi‐Nadooshan Iran
Christian Monzio Compagnoni Italy
Gianluca Piccinini relative to Hua Xiang United States Hua Xiang's profile →
Citations per field
00.5×3.2×
Hua Xiang · 1×
Citations per year

Countries citing papers authored by Gianluca Piccinini

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Piccinini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20234
5 20223
6 20226
7 20227
8 20226
9 202214
10 20229
11 202114
12 202112
13 202114
14 201912
15 201819
16 201826
17
Fault Tolerance Analysis of a Bis-Ferrocene QCA Wire
20131
18
Nanogap fabrication for molecular electronics
20081
19
Nanogaps fabrication for biomedical sensors
20081
20
Low-Cost IP-blocks for UMTS Turbo Decoders
20011

About Gianluca Piccinini

Gianluca Piccinini is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Hardware and Architecture, Signal Processing and Bioengineering, having authored 122 papers that have together received 970 indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (31 papers), Quantum-Dot Cellular Automata (29 papers), Semiconductor materials and devices (26 papers), Advanced Memory and Neural Computing (22 papers), Advancements in Semiconductor Devices and Circuit Design (22 papers), Quantum and electron transport phenomena (18 papers), Low-power high-performance VLSI design (18 papers) and Nanowire Synthesis and Applications (16 papers). The work is most often cited by research in Computational Theory and Mathematics (357 citations), Electrical and Electronic Engineering (785 citations), Computer Networks and Communications (219 citations), Electrochemistry (41 citations) and Hardware and Architecture (44 citations). Gianluca Piccinini has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Mariagrazia Graziano, Guido Masera, Maurizio Zamboni, Danilo Demarchi, Azzurra Pulimeno, Massimo Ruo Roch, Maurizio Martina, Valentina Cauda, F. Vacca and Pierluigi Civera. Their work appears in journals such as IEEE Transactions on Nanotechnology, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Electronics, Journal of Computational Electronics and Nanoscale Research Letters.

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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2026