Matteo Dell’Amico

63 total papers · 1.3k total citations
39 papers, 779 citations indexed

About

Matteo Dell’Amico is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Matteo Dell’Amico has authored 39 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 19 papers in Information Systems and 11 papers in Signal Processing. Recurrent topics in Matteo Dell’Amico's work include Complex Network Analysis Techniques (8 papers), Peer-to-Peer Network Technologies (8 papers) and Advanced Malware Detection Techniques (8 papers). Matteo Dell’Amico is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Peer-to-Peer Network Technologies (8 papers) and Advanced Malware Detection Techniques (8 papers). Matteo Dell’Amico collaborates with scholars based in France, Italy and United States. Matteo Dell’Amico's co-authors include Pietro Michiardi, Yves Roudier, Leyla Bilge, Davide Balzarotti, Maurizio Filippone, Pierre‐Antoine Vervier, Damiano Carra, László Toka, Yufei Han and Laura Ricci and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and Computer Networks.

In The Last Decade

Matteo Dell’Amico

38 papers receiving 732 citations

Author Peers

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

Author						Papers	Cites
Matteo Dell’Amico	469	338	327	202	135	39	779
Mohammad Mannan	564 1.2×	286 0.8×	411 1.3×	291 1.4×	162 1.2×	62	858
Srikanth Sundaresan	218 0.5×	517 1.5×	167 0.5×	269 1.3×	145 1.1×	39	799
Ting Yu	455 1.0×	357 1.1×	310 0.9×	518 2.6×	168 1.2×	42	889
David Dittrich	254 0.5×	455 1.3×	286 0.9×	376 1.9×	130 1.0×	26	795
Noam Ben‐Asher	317 0.7×	281 0.8×	190 0.6×	122 0.6×	125 0.9×	27	644
Alexios Mylonas	411 0.9×	355 1.1×	384 1.2×	294 1.5×	181 1.3×	41	779
Rishab Nithyanand	263 0.6×	473 1.4×	294 0.9×	666 3.3×	176 1.3×	27	885
David Barrera	352 0.8×	357 1.1×	479 1.5×	227 1.1×	88 0.7×	27	694
Zubair Shafiq	187 0.4×	211 0.6×	148 0.5×	307 1.5×	230 1.7×	66	769
Andrea Continella	356 0.8×	488 1.4×	533 1.6×	411 2.0×	68 0.5×	36	877

Countries citing papers authored by Matteo Dell’Amico

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Dell’Amico

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Dell’Amico

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Dell’Amico. A scholar is included among the top collaborators of Matteo Dell’Amico 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 Dell’Amico. Matteo Dell’Amico 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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