Matteo Dell’Amico
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Co-authors
- Pietro MichiardiYves RoudierLeyla BilgeMaurizio FilipponeDavide BalzarottiPierre‐Antoine VervierDamiano CarraLászló Toka
- Topics
- Peer-to-Peer Network Technologies (8 papers)Complex Network Analysis Techniques (8 papers)Advanced Malware Detection Techniques (8 papers)
- Journals
- IEEE Transactions on ComputersIEEE Transactions on Parallel and Distributed SystemsComputer Networks
- Partner nations
- FranceItalyUnited States
In The Last Decade
Matteo Dell’Amico
38 papers receiving 733 citations
Peers
Comparison fields: 5 of 60
- Information Systems 469
- Computer Networks and Communications 337
- Signal Processing 328
- Artificial Intelligence 202
- Sociology and Political Science 135
Countries citing papers authored by Matteo Dell’Amico
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 61 | |
| 10 | 2 | |
| 11 | On the design space of MapReduce ROLLUP aggregates | 3 |
| 12 | 4 | |
| 13 | 27 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 33 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 6 |
About Matteo Dell’Amico
Matteo Dell’Amico is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 39 papers that have together received 780 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (8 papers), Complex Network Analysis Techniques (8 papers) and Advanced Malware Detection Techniques (8 papers). The work is most often cited by research in Signal Processing (328 citations), Information Systems (469 citations) and Computer Networks and Communications (337 citations). Matteo Dell’Amico has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Pietro Michiardi, Yves Roudier, Leyla Bilge, Maurizio Filippone, Davide Balzarotti, Pierre‐Antoine Vervier, Damiano Carra, László Toka, Laura Ricci and Yufei Han. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and Computer Networks.
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.