Michele Amoretti

4.2k total citations · 1 hit paper
119 papers, 1.3k citations indexed

About

Michele Amoretti is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Michele Amoretti has authored 119 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Networks and Communications, 24 papers in Information Systems and 21 papers in Artificial Intelligence. Recurrent topics in Michele Amoretti's work include Peer-to-Peer Network Technologies (42 papers), Caching and Content Delivery (24 papers) and Distributed and Parallel Computing Systems (22 papers). Michele Amoretti is often cited by papers focused on Peer-to-Peer Network Technologies (42 papers), Caching and Content Delivery (24 papers) and Distributed and Parallel Computing Systems (22 papers). Michele Amoretti collaborates with scholars based in Italy, France and Denmark. Michele Amoretti's co-authors include Francesco Zanichelli, Marco Picone, Stefano Cavalli, Gianluigi Ferrari, G. Conte, Luca Veltri, Monica Reggiani, Franck Rousseau, Olivier Alphand and Andrzej Duda and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and International Journal of Hydrogen Energy.

In The Last Decade

Michele Amoretti

116 papers receiving 1.2k citations

Hit Papers

Distributed quantum computing: A survey 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Distributed quantum computing: A survey
    2024 67 citations Michele Amoretti et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michele Amoretti Italy 20 621 416 241 196 143 119 1.3k
Morshed Chowdhury Australia 20 736 1.2× 610 1.5× 347 1.4× 256 1.3× 154 1.1× 107 1.7k
Zhiqiang Yao China 17 255 0.4× 306 0.7× 714 3.0× 124 0.6× 62 0.4× 55 1.2k
Yaohui Jin China 19 563 0.9× 234 0.6× 523 2.2× 502 2.6× 39 0.3× 167 1.5k
V. S. Shankar Sriram United States 19 572 0.9× 324 0.8× 467 1.9× 182 0.9× 86 0.6× 103 1.3k
Wei Jian China 14 109 0.2× 432 1.0× 308 1.3× 431 2.2× 76 0.5× 128 1.3k
Yi Zhuang China 22 501 0.8× 379 0.9× 235 1.0× 543 2.8× 295 2.1× 134 1.6k
Zhenhua Li China 23 783 1.3× 411 1.0× 355 1.5× 280 1.4× 55 0.4× 163 1.8k
Yilin Shen United States 19 343 0.6× 249 0.6× 487 2.0× 184 0.9× 20 0.1× 103 1.3k
S. Marrone Italy 18 225 0.4× 180 0.4× 176 0.7× 141 0.7× 74 0.5× 96 1.1k
Yu-E Sun China 16 369 0.6× 203 0.5× 322 1.3× 156 0.8× 30 0.2× 106 899

Countries citing papers authored by Michele Amoretti

Since Specialization
Citations

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

Fields of papers citing papers by Michele Amoretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Amoretti

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Amoretti. A scholar is included among the top collaborators of Michele Amoretti 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 Michele Amoretti. Michele Amoretti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pau, Danilo, et al.. (2024). In-Sensor Learning for Pressure Self-Calibration. 1–6. 2 indexed citations
2.
Pau, Danilo, et al.. (2024). Learning Pressure Sensor Drifts From Zero Deployability Budget. IEEE Sensors Letters. 8(8). 1–4. 1 indexed citations
3.
Amoretti, Michele, et al.. (2024). A Design Framework for the Simulation of Distributed Quantum Computing. 4–10. 1 indexed citations
4.
5.
Amoretti, Michele, et al.. (2024). A Scalable Quantum Neural Network for Approximate Unitary Synthesis. 49–54. 1 indexed citations
6.
Caselli, Stefano, et al.. (2022). Seamless Sensor Data Acquisition for the Edge-to-Cloud Continuum. 1–8. 2 indexed citations
7.
Amoretti, Michele, et al.. (2021). ReSS: A tool for discovering relevant sets in complex systems. SoftwareX. 14. 100693–100693. 1 indexed citations
8.
Amoretti, Michele. (2021). Private Set Intersection with Delegated Blind Quantum Computing. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 2 indexed citations
9.
Villani, Marco, Riccardo Pecori, Michele Amoretti, et al.. (2018). An Iterative Information‐Theoretic Approach to the Detection of Structures in Complex Systems. Complexity. 2018(1). 11 indexed citations
10.
Amoretti, Michele, et al.. (2018). Demonstration of Envariance and Parity Learning on the IBM 16 Qubit Processor. arXiv (Cornell University). 5 indexed citations
11.
Amoretti, Michele, et al.. (2017). An open Web application framework for peer‐to‐peer location‐based services. Concurrency and Computation Practice and Experience. 30(20). 4 indexed citations
12.
Amoretti, Michele & Francesco Zanichelli. (2017). P2P-PL: A pattern language to design efficient and robust peer-to-peer systems. Peer-to-Peer Networking and Applications. 11(3). 518–547. 3 indexed citations
13.
Amoretti, Michele, et al.. (2015). A modeling and simulation framework for mobile cloud computing. Simulation Modelling Practice and Theory. 58. 140–156. 7 indexed citations
14.
Picone, Marco, Michele Amoretti, & Francesco Zanichelli. (2012). Simulating smart cities with DEUS. 172–177. 5 indexed citations
15.
Amoretti, Michele. (2009). A Survey of Peer- to -Peer Overlay Schemes: Effectiveness, Efficiency and Security. Recent Patents on Computer Science. 2(3). 195–213. 10 indexed citations
16.
Warring, Ulrich, et al.. (2009). High-Resolution Laser Spectroscopy on the Negative Osmium Ion. Physical Review Letters. 102(4). 43001–43001. 42 indexed citations
17.
Amoretti, Michele, et al.. (2008). Interest-based overlay construction and message routing in service-oriented peer-to-peer networks. 152–157. 2 indexed citations
18.
Amoretti, Michele, Francesco Zanichelli, & G. Conte. (2007). A Service-Oriented Approach for Building Autonomic Peer-to-Peer Robot Systems. 137–142. 3 indexed citations
19.
Amoretti, Michele, et al.. (2004). Service Discovery in a Grid-based Peer-to-Peer Architecture. Research Padua Archive (University of Padua). 4 indexed citations
20.
Amoretti, Michele, et al.. (2003). Experience in Teleoperation System Design Based on Real-Time CORBA. 3 indexed citations

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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