Saverio Ricci

62 total papers · 784 total citations
24 papers, 565 citations indexed

About

Saverio Ricci is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Saverio Ricci has authored 24 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 6 papers in Cognitive Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Saverio Ricci's work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Neural dynamics and brain function (6 papers). Saverio Ricci is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Neural dynamics and brain function (6 papers). Saverio Ricci collaborates with scholars based in Italy, China and Denmark. Saverio Ricci's co-authors include Daniele Ielmini, Shahin Hashemkhani, Giacomo Pedretti, Gianluca Milano, Kevin Montano, Carlo Ricciardi, Luca Boarino, Matteo Farronato, Alessandro Milozzi and Piergiulio Mannocci and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Materials.

In The Last Decade

Saverio Ricci

22 papers receiving 553 citations

Hit Papers

In materia reservoir comp... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saverio Ricci 516 270 179 112 62 24 565
Kyung Seok Woo 501 1.0× 163 0.6× 111 0.6× 157 1.4× 59 1.0× 26 534
Clemens Schaefer 483 0.9× 121 0.4× 69 0.4× 139 1.2× 64 1.0× 19 601
Guanrui Wang 440 0.9× 151 0.6× 131 0.7× 132 1.2× 94 1.5× 17 545
Henry O. Sillin 526 1.0× 270 1.0× 282 1.6× 186 1.7× 43 0.7× 7 584
Adrian Diaz‐Alvarez 588 1.1× 260 1.0× 274 1.5× 149 1.3× 105 1.7× 21 691
Abhishek Khanna 535 1.0× 227 0.8× 75 0.4× 56 0.5× 109 1.8× 37 666
Ziyu Xiong 396 0.8× 120 0.4× 50 0.3× 164 1.5× 79 1.3× 26 589
Feng Xu 588 1.1× 77 0.3× 71 0.4× 249 2.2× 80 1.3× 31 656
Matteo Cucchi 427 0.8× 185 0.7× 94 0.5× 47 0.4× 34 0.5× 17 514
Xin Li 474 0.9× 96 0.4× 43 0.2× 111 1.0× 65 1.0× 32 536

Countries citing papers authored by Saverio Ricci

Since Specialization
Citations

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

Fields of papers citing papers by Saverio Ricci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saverio Ricci

This figure shows the co-authorship network connecting the top 25 collaborators of Saverio Ricci. A scholar is included among the top collaborators of Saverio Ricci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saverio Ricci. Saverio Ricci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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