Fabrizio Riente

1.2k citations
62 papers · 501 · h-index 15

Impact in

Papers in

Fabrizio Riente

57 papers receiving 492 citations

Peers

Fabrizio Riente
Comparison fields: 5 of 39
  • Computational Theory and Mathematics 276
  • Atomic and Molecular Physics, and Optics 225
  • Electrical and Electronic Engineering 386
  • Hardware and Architecture 29
  • Insect Science 21
Replace R. Nakkeeran with:
R. Nakkeeran India
Joseph Nahas United States
Xueming Ju Germany
Ahmed Zeeshan Pervaiz United States
Árpád I. Csurgay United States
Liqiong Wei United States
William A. Borders Japan
Joseph S. Friedman United States
Hao Cai China
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Citations per field
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Citations per year

Countries citing papers authored by Fabrizio Riente

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Riente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 201729
3 201826
4 201522
5 201622
6 201521
7 201820
8 201619
9 202216
10 201416
11 201216
12 201515
13 201714
14 202114
15 201614
16 201413
17 201212
18 201811
19 201710
20 20229

About Fabrizio Riente

Fabrizio Riente is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Computer Networks and Communications and Ecology, Evolution, Behavior and Systematics, having authored 62 papers that have together received 501 indexed citations. Recurring topics across this work include Semiconductor materials and devices (25 papers), Quantum-Dot Cellular Automata (19 papers), Advanced Memory and Neural Computing (18 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers), Magnetic properties of thin films (13 papers), Quantum and electron transport phenomena (11 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Insect and Pesticide Research (6 papers). The work is most often cited by research in Computational Theory and Mathematics (276 citations), Atomic and Molecular Physics, and Optics (225 citations), Electrical and Electronic Engineering (386 citations), Hardware and Architecture (29 citations) and Insect Science (21 citations). Fabrizio Riente has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Mariagrazia Graziano, Giovanna Turvani, Marco Vacca, Maurizio Zamboni, Massimo Ruo Roch, Gianluca Piccinini, Markus Becherer, Azzurra Pulimeno, Stefano Frache and D. Schmitt‐Landsiedel. Their work appears in journals such as AIP Advances, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Emerging Topics in Computing, IEEE Transactions on Nanotechnology and Electronics.

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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