Matteo Mordacchini

932 citations
53 papers · 491 indexed · h-index 11
Topics
Caching and Content Delivery (24 papers)Peer-to-Peer Network Technologies (20 papers)Opportunistic and Delay-Tolerant Networks (16 papers)
Partner nations
ItalyGreecePortugal

In The Last Decade

Matteo Mordacchini

48 papers receiving 448 citations

Peers

Matteo Mordacchini
Comparison fields: 5 of 34
  • Computer Networks and Communications 441
  • Information Systems 189
  • Artificial Intelligence 50
  • Transportation 35
  • Information Systems and Management 33
Replace Ville Tuulos with:
Ville Tuulos Finland
Ionut Trestian United States
Thanaa M. Ghanem United States
Prakash Kolan United States
Oliver P. Waldhorst Germany
Michael Butkiewicz United States
Jacobus E. van der Merwe United States
Fabrice Le Fessant France
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Citations per field
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Citations per year

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
#WorkIndexed citations
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Gossip Communities: Collaborative Filtering Through Peer-to-Peer Overlays (Extended Abstract).
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Peer-to-Peer clustering of Web-browsing users
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About Matteo Mordacchini

Matteo Mordacchini is a scholar working on Computer Networks and Communications, Transportation and Information Systems, having authored 53 papers that have together received 491 indexed citations. Recurring topics across this work include Caching and Content Delivery (24 papers), Peer-to-Peer Network Technologies (20 papers) and Opportunistic and Delay-Tolerant Networks (16 papers). The work is most often cited by research in Computer Networks and Communications (441 citations), Information Systems (189 citations) and Transportation (35 citations). Matteo Mordacchini has collaborated with scholars based in Italy, Greece and Portugal. Frequent co-authors include Andrea Passarella, Salvatore Orlando, Moreno Marzolla, Patrizio Dazzi, Marco Conti, Ranieri Baraglia, Paolo Trunfio, Harris Papadakis, Domenico Talia and Paraskevi Fragopoulou. Their work appears in journals such as IEEE Access, Future Generation Computer Systems and Journal of Computer and System Sciences.

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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