Matteo Mordacchini

932 total citations
53 papers, 491 citations indexed

About

Matteo Mordacchini is a scholar working on Computer Networks and Communications, Information Systems and Transportation. According to data from OpenAlex, Matteo Mordacchini has authored 53 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Networks and Communications, 19 papers in Information Systems and 7 papers in Transportation. Recurrent topics in Matteo Mordacchini's work include Caching and Content Delivery (24 papers), Peer-to-Peer Network Technologies (20 papers) and Opportunistic and Delay-Tolerant Networks (16 papers). Matteo Mordacchini is often cited by papers focused on Caching and Content Delivery (24 papers), Peer-to-Peer Network Technologies (20 papers) and Opportunistic and Delay-Tolerant Networks (16 papers). Matteo Mordacchini collaborates with scholars based in Italy, Greece and Portugal. Matteo Mordacchini's co-authors include Andrea Passarella, Salvatore Orlando, Moreno Marzolla, Patrizio Dazzi, Marco Conti, Ranieri Baraglia, Paolo Trunfio, Harris Papadakis, Domenico Talia and Paraskevi Fragopoulou and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and Journal of Computer and System Sciences.

In The Last Decade

Matteo Mordacchini

48 papers receiving 448 citations

Peers

Matteo Mordacchini
Ville Tuulos Finland
Thanaa M. Ghanem United States
Ionut Trestian United States
Prakash Kolan United States
Oliver P. Waldhorst Germany
John P. Rula United States
Daniela Gavidia Netherlands
Qianni Deng China
Michael Butkiewicz United States
Ville Tuulos Finland
Matteo Mordacchini
Citations per year, relative to Matteo Mordacchini Matteo Mordacchini (= 1×) peers Ville Tuulos

Countries citing papers authored by Matteo Mordacchini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Mordacchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Mordacchini

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Mordacchini. A scholar is included among the top collaborators of Matteo Mordacchini 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 Mordacchini. Matteo Mordacchini 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.
Mordacchini, Matteo, Emanuele Carlini, & Patrizio Dazzi. (2025). A Decentralized Strategy for Unweighted Minimum Vertex Cover. CINECA IRIS Institutial research information system (University of Pisa). 325–328. 2 indexed citations
2.
Mordacchini, Matteo, Emanuele Carlini, & Patrizio Dazzi. (2025). A Fast-Converging Decentralized Approach to the Weighted Minimum Vertex Cover Problem. ArXiv.org. 111–116.
3.
Carlini, Emanuele, et al.. (2025). Dynamic workload balancing in decentralized edge systems: A marginal cost approach. Future Generation Computer Systems. 176. 108167–108167.
4.
Mordacchini, Matteo, et al.. (2024). Decentralized Replica Management in Latency-Bound Edge Environments for Resource Usage Minimization. IEEE Access. 12. 19229–19249. 5 indexed citations
5.
Carlini, Emanuele, Patrizio Dazzi, Antonios Makris, et al.. (2024). Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm. CINECA IRIS Institutial research information system (University of Pisa). 399–403.
6.
Makris, Antonios, Ioannis Kontopoulos, Θεόδωρος Θεοδωρόπουλος, et al.. (2024). Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach. CINECA IRIS Institutial research information system (University of Pisa). 15–22. 2 indexed citations
7.
Carlini, Emanuele, et al.. (2023). DATA7: A Dataset for Assessing Resource and Application Management Solutions at the Edge. CINECA IRIS Institutial research information system (University of Pisa). 3–6. 1 indexed citations
8.
Carlini, Emanuele, et al.. (2023). SmartORC: smart orchestration of resources in the compute continuum. CINECA IRIS Institutial research information system (University of Pisa). 1. 6 indexed citations
9.
Mordacchini, Matteo, et al.. (2021). Latency preserving self-optimizing placement at the edge. ISTI Open Portal. 12 indexed citations
10.
Mordacchini, Matteo, Marco Conti, Andrea Passarella, & Raffaele Bruno. (2021). Human-centric Data Dissemination in the IoP: Large-scale Modeling and Evaluation. arXiv (Cornell University). 6 indexed citations
11.
Albano, Michele, Matteo Mordacchini, & Laura Ricci. (2020). AoI-Based Multicast Routing Over Voronoi Overlays With Minimal Overhead. IEEE Access. 8. 168611–168624.
12.
Ricci, Laura, et al.. (2016). Multidimensional range queries on hierarchical Voronoi overlays. Journal of Computer and System Sciences. 82(7). 1161–1179. 9 indexed citations
13.
Mordacchini, Matteo, et al.. (2015). Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks. Computer Communications. 81. 12–30. 9 indexed citations
14.
Mordacchini, Matteo, Andrea Passarella, & Marco Conti. (2014). Community detection in opportunistic networks using memory-based cognitive heuristics. 33. 243–248. 3 indexed citations
15.
Conti, Marco, Matteo Mordacchini, & Andrea Passarella. (2013). Design and Performance Evaluation of Data Dissemination Systems for Opportunistic Networks Based on Cognitive Heuristics. ACM Transactions on Autonomous and Adaptive Systems. 8(3). 1–32. 20 indexed citations
16.
Baraglia, Ranieri, Patrizio Dazzi, Matteo Mordacchini, & Laura Ricci. (2012). A peer-to-peer recommender system for self-emerging user communities based on gossip overlays. Journal of Computer and System Sciences. 79(2). 291–308. 21 indexed citations
17.
Baraglia, Ranieri, Patrizio Dazzi, Matteo Mordacchini, Raffaele Perego, & Laura Ricci. (2010). Gossip Communities: Collaborative Filtering Through Peer-to-Peer Overlays (Extended Abstract).. SEBD. 54–61. 1 indexed citations
18.
Dazzi, Patrizio, Pascal Felber, Matteo Mordacchini, et al.. (2009). Peer-to-Peer clustering of Web-browsing users. International ACM SIGIR Conference on Research and Development in Information Retrieval. 7 indexed citations
19.
Marzolla, Moreno, Matteo Mordacchini, & Salvatore Orlando. (2006). Tree vector indexes: efficient range queries for dynamic content on peer-to-peer networks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). ucb csd 1 1141. 8 pp.–8 pp.. 8 indexed citations
20.
Marzolla, Moreno, Matteo Mordacchini, & Salvatore Orlando. (2006). A P2P Resource Discovery System Based on a Forest of Trees. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 261–265. 9 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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