Matteo Nardelli

2.0k total citations · 1 hit paper
37 papers, 1.3k citations indexed

About

Matteo Nardelli is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Matteo Nardelli has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 29 papers in Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Matteo Nardelli's work include Cloud Computing and Resource Management (21 papers), Data Stream Mining Techniques (11 papers) and IoT and Edge/Fog Computing (9 papers). Matteo Nardelli is often cited by papers focused on Cloud Computing and Resource Management (21 papers), Data Stream Mining Techniques (11 papers) and IoT and Edge/Fog Computing (9 papers). Matteo Nardelli collaborates with scholars based in Italy, Austria and Sweden. Matteo Nardelli's co-authors include Valeria Cardellini, Francesco Lo Presti, Stefan Schulte, Olena Skarlat, Vincenzo Grassi, Fabiana Rossi, Schahram Dustdar, Michael Borkowski, Philipp Leitner and Gabriele Russo Russo and has published in prestigious journals such as ACM Computing Surveys, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Matteo Nardelli

35 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Optimized IoT service placement in the fog

2017 253 citations Olena Skarlat, Matteo Nardelli et al. Service Oriented Computing and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Nardelli Italy	18	1.2k	884	209	186	160	37	1.3k
Stefan Nastić Austria	20	812 0.7×	562 0.6×	105 0.5×	147 0.8×	85 0.5×	52	993
Zijiang Hao United States	11	911 0.7×	447 0.5×	194 0.9×	334 1.8×	275 1.7×	14	1.1k
Dimitrios P. Pezaros United Kingdom	23	1.4k 1.1×	545 0.6×	204 1.0×	98 0.5×	421 2.6×	117	1.6k
Andy Rindos United States	11	700 0.6×	595 0.7×	147 0.7×	44 0.2×	96 0.6×	17	930
Mohamed Faten Zhani Canada	24	2.3k 1.8×	1.3k 1.4×	233 1.1×	121 0.7×	689 4.3×	75	2.4k
Zhengzhe Xiang China	13	544 0.4×	412 0.5×	137 0.7×	106 0.6×	138 0.9×	34	752
Luca Veltri Italy	22	1.4k 1.2×	517 0.6×	362 1.7×	124 0.7×	507 3.2×	81	1.7k
Nelson Souto Rosa Brazil	13	577 0.5×	318 0.4×	194 0.9×	141 0.8×	137 0.9×	100	845
Nikos Tziritas Greece	14	677 0.6×	592 0.7×	100 0.5×	110 0.6×	91 0.6×	65	912
Choonhwa Lee South Korea	16	791 0.6×	325 0.4×	126 0.6×	296 1.6×	280 1.8×	75	1.1k

Countries citing papers authored by Matteo Nardelli

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Nardelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Nardelli

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

All Works

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20 of 20 papers shown

Benedetti, Marco, et al.. (2025). An analysis of pervasive payment channel networks for Central Bank Digital Currencies. Computer Communications. 240. 108199–108199. 1 indexed citations

Cardellini, Valeria, Patrizio Dazzi, Gabriele Mencagli, Matteo Nardelli, & Massimo Torquati. (2025). Scalable compute continuum. Future Generation Computer Systems. 166. 107697–107697. 2 indexed citations

Nardelli, Matteo, et al.. (2025). Dynamic-FROST: Schnorr threshold signatures with a flexible committee. Journal of Mathematical Cryptology. 19(1). 1 indexed citations

Nardelli, Matteo, et al.. (2024). Towards a Full Scale Simulation of a Central Bank Digital Currency Via Payment Channel Networks. 56–63.

Nardelli, Matteo, et al.. (2024). Modeling Central Bank Digital Currency over Payment Channels: A Parallel ROSS-based Approach. 30–34. 1 indexed citations

Nardelli, Matteo & Gabriele Russo Russo. (2024). Function Offloading and Data Migration for Stateful Serverless Edge Computing. Cineca Institutional Research Information System (Tor Vergata University). 247–257. 2 indexed citations

Benedetti, Marco, et al.. (2023). Integrating DLTs with Market Infrastructures: Analysis and Proof-of-Concept for Secure DvP between TIPS and DLT Platforms. SSRN Electronic Journal.

Benedetti, Marco, et al.. (2023). PoW-less Bitcoin with Confidential Byzantine PoA. 1–3. 2 indexed citations

Rossi, Fabiana, Matteo Nardelli, & Valeria Cardellini. (2019). Horizontal and Vertical Scaling of Container-Based Applications Using Reinforcement Learning. Cineca Institutional Research Information System (Tor Vergata University). 329–338. 103 indexed citations

10.

Nardelli, Matteo, Valeria Cardellini, Vincenzo Grassi, & Francesco Lo Presti. (2019). Efficient Operator Placement for Distributed Data Stream Processing Applications. IEEE Transactions on Parallel and Distributed Systems. 30(8). 1753–1767. 56 indexed citations

11.

Nardelli, Matteo, Valeria Cardellini, & Emiliano Casalicchio. (2018). Multi-Level Elastic Deployment of Containerized Applications in Geo-Distributed Environments. Cineca Institutional Research Information System (Tor Vergata University). 1–8. 17 indexed citations

12.

Skarlat, Olena, Matteo Nardelli, Stefan Schulte, Michael Borkowski, & Philipp Leitner. (2017). Optimized IoT service placement in the fog. Service Oriented Computing and Applications. 11(4). 427–443. 253 indexed citations breakdown →

13.

Nardelli, Matteo. (2017). Elastic Allocation of Docker Containers in Cloud Environments.. 59–66. 3 indexed citations

14.

Nardelli, Matteo, et al.. (2017). A Data Streaming Approach to Link Mining in Criminal Networks. Cineca Institutional Research Information System (Tor Vergata University). 138–143. 7 indexed citations

15.

Skarlat, Olena, Matteo Nardelli, Stefan Schulte, & Schahram Dustdar. (2017). Towards QoS-Aware Fog Service Placement. 89–96. 205 indexed citations

16.

Nardelli, Matteo, Stefan Nastić, Schahram Dustdar, Massimo Villari, & Rajiv Ranjan. (2017). Osmotic Flow: Osmotic Computing + IoT Workflow. IEEE Cloud Computing. 4(2). 68–75. 39 indexed citations

17.

Cardellini, Valeria, Vincenzo Grassi, Francesco Lo Presti, & Matteo Nardelli. (2017). Optimal Operator Replication and Placement for Distributed Stream Processing Systems. ACM SIGMETRICS Performance Evaluation Review. 44(4). 11–22. 42 indexed citations

18.

Nardelli, Matteo. (2016). A Framework for Data Stream Applications in a Distributed Cloud. 56–63. 4 indexed citations

19.

Cardellini, Valeria, Vincenzo Grassi, Francesco Lo Presti, & Matteo Nardelli. (2016). Optimal operator placement for distributed stream processing applications. Cineca Institutional Research Information System (Tor Vergata University). 69–80. 94 indexed citations

20.

Nardelli, Matteo, et al.. (2016). Real-time analysis of social networks leveraging the flink framework. Cineca Institutional Research Information System (Tor Vergata University). 386–389. 1 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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