Matteo Dell’Amico

1.3k total citations
39 papers, 780 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 780 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 Peer-to-Peer Network Technologies (8 papers), Complex Network Analysis Techniques (8 papers) and Advanced Malware Detection Techniques (8 papers). Matteo Dell’Amico is often cited by papers focused on Peer-to-Peer Network Technologies (8 papers), Complex Network Analysis Techniques (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, Maurizio Filippone, Davide Balzarotti, 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 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Dell’Amico France 13 469 337 328 202 135 39 780
Mohammad Mannan Canada 16 564 1.2× 288 0.9× 415 1.3× 296 1.5× 163 1.2× 62 866
Srikanth Sundaresan United States 16 218 0.5× 521 1.5× 167 0.5× 269 1.3× 145 1.1× 39 804
Ting Yu United States 13 453 1.0× 358 1.1× 309 0.9× 519 2.6× 169 1.3× 42 892
Carrie Gates United States 13 204 0.4× 334 1.0× 159 0.5× 257 1.3× 87 0.6× 44 575
Yazan Boshmaf Canada 13 705 1.5× 467 1.4× 387 1.2× 335 1.7× 332 2.5× 23 1.0k
Alexios Mylonas United Kingdom 16 414 0.9× 357 1.1× 385 1.2× 296 1.5× 181 1.3× 41 785
Rishab Nithyanand United States 12 270 0.6× 475 1.4× 301 0.9× 680 3.4× 177 1.3× 27 902
George Mohay Australia 16 584 1.2× 272 0.8× 321 1.0× 651 3.2× 80 0.6× 58 1.0k
Christian Platzer Austria 15 669 1.4× 511 1.5× 559 1.7× 431 2.1× 61 0.5× 26 1.1k
Richard Chow United States 14 826 1.8× 329 1.0× 229 0.7× 564 2.8× 246 1.8× 27 1.2k

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

20 of 20 papers shown
1.
Dell’Amico, Matteo, et al.. (2023). An OS-agnostic Approach to Memory Forensics. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
2.
Kotzias, Platon, et al.. (2023). Unsupervised Detection and Clustering of Malicious TLS Flows. Security and Communication Networks. 2023. 1–17. 4 indexed citations
3.
Dell’Amico, Matteo, Platon Kotzias, Davide Balzarotti, et al.. (2019). Can I Opt Out Yet?. CINECA IRIS Institutial Research Information System (University of Genoa). 340–351. 96 indexed citations
4.
Dell’Amico, Matteo, et al.. (2018). Beyond Precision and Recall. CINECA IRIS Institutial Research Information System (University of Genoa). 354–365. 21 indexed citations
5.
Roundy, Kevin, et al.. (2017). Smoke Detector. CINECA IRIS Institutial Research Information System (University of Genoa). 200–211. 5 indexed citations
6.
Gabrielli, Lorenzo, Patrizio Dazzi, Matteo Dell’Amico, et al.. (2016). Improving population estimation from mobile calls: A clustering approach. CINECA IRIS Institutial research information system (University of Pisa). 1097–1102. 6 indexed citations
7.
Carra, Damiano, et al.. (2015). HFSP: Bringing Size-Based Scheduling To Hadoop. IEEE Transactions on Cloud Computing. 5(1). 43–56. 25 indexed citations
8.
Dell’Amico, Matteo & Maurizio Filippone. (2015). Monte Carlo Strength Evaluation. CINECA IRIS Institutial Research Information System (University of Genoa). 158–169. 61 indexed citations
9.
Dell’Amico, Matteo, Pietro Michiardi, László Toka, & Pasquale Cataldi. (2015). Adaptive redundancy management for durable P2P backup. Computer Networks. 83. 136–148. 2 indexed citations
10.
Dell’Amico, Matteo, et al.. (2015). Scalable k-NN based text clustering. HAL (Le Centre pour la Communication Scientifique Directe). 93. 958–963. 11 indexed citations
11.
Dell’Amico, Matteo, et al.. (2014). On the design space of MapReduce ROLLUP aggregates. Graduate School and Research Center in Digital Science (EURECOM). 10–18. 3 indexed citations
12.
Dell’Amico, Matteo, et al.. (2014). OS-Assisted Task Preemption for Hadoop. CINECA IRIS Institutial Research Information System (University of Genoa). 94–99. 4 indexed citations
13.
Carra, Damiano, et al.. (2013). HFSP: Size-based scheduling for Hadoop. CINECA IRIS Institutial Research Information System (University of Genoa). 51–59. 27 indexed citations
14.
Quercia, Daniele, et al.. (2013). Trend makers and trend spotters in a mobile application. CINECA IRIS Institutial Research Information System (University of Genoa). 1365–1374. 1 indexed citations
15.
Dell’Amico, Matteo, et al.. (2012). HiPoLDS: A Hierarchical Security Policy Language for Distributed Systems. Information Security Technical Report. 17(3). 81–92. 12 indexed citations
16.
Toka, László, Pasquale Cataldi, Matteo Dell’Amico, & Pietro Michiardi. (2012). Redundancy management for P2P backup. CINECA IRIS Institutial Research Information System (University of Genoa). 2986–2990. 3 indexed citations
17.
Sharma, Rajesh, Anwitaman Datta, Matteo Dell’Amico, & Pietro Michiardi. (2011). An empirical study of availability in friend-to-friend storage systems. CINECA IRIS Institutial Research Information System (University of Genoa). 348–351. 33 indexed citations
18.
Dell’Amico, Matteo. (2007). Neighbourhood maps: decentralized ranking in small‐world P2P networks. Concurrency and Computation Practice and Experience. 20(6). 659–674. 1 indexed citations
19.
Dell’Amico, Matteo. (2007). Mapping Small Worlds. 1. 219–228. 6 indexed citations
20.
Dell’Amico, Matteo. (2006). Neighbourhood maps: decentralised ranking in small-world P2P networks. International Parallel and Distributed Processing Symposium. 371–371. 6 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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