Matteo Dell’Amico

23 papers and 230 indexed citations i.

About

Matteo Dell’Amico is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Matteo Dell’Amico has authored 23 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Matteo Dell’Amico’s work include Complex Network Analysis Techniques (5 papers), Cloud Computing and Resource Management (5 papers) and Distributed and Parallel Computing Systems (4 papers). Matteo Dell’Amico is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Cloud Computing and Resource Management (5 papers) and Distributed and Parallel Computing Systems (4 papers). Matteo Dell’Amico collaborates with scholars based in France, Italy and Belgium. Matteo Dell’Amico's co-authors include Pietro Michiardi, Leyla Bilge, Damiano Carra, Laura Ricci, Yufei Han, Davide Balzarotti, Pierre‐Antoine Vervier, Yun Shen, Yves Roudier and Michael Mitzenmacher and has published in prestigious journals such as IEEE Transactions on Computers, IEEE/ACM Transactions on Networking and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

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

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.

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).

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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