Marco Rosa

12 total papers · 1.4k total citations
6 papers, 744 citations indexed

About

Marco Rosa is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Rosa has authored 6 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Statistical and Nonlinear Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Rosa's work include Complex Network Analysis Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers) and Graph Theory and Algorithms (2 papers). Marco Rosa is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers) and Graph Theory and Algorithms (2 papers). Marco Rosa collaborates with scholars based in Italy and Israel. Marco Rosa's co-authors include Paolo Boldi, Sebastiano Vigna, Massimo Santini, Johan Ugander, Lars Bäckström, Elena Casiraghi, Gabriele Lombardi and Alessandro Rozza and has published in prestigious journals such as Social Network Analysis and Mining.

In The Last Decade

Marco Rosa

6 papers receiving 703 citations

Hit Papers

Layered label propagation 2011 2026 2016 2021 2011 2012 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Marco Rosa 337 313 288 224 143 6 744
Reza Bosagh Zadeh 164 0.5× 165 0.5× 276 1.0× 119 0.5× 209 1.5× 17 754
Georgos Siganos 188 0.6× 287 0.9× 267 0.9× 584 2.6× 316 2.2× 19 877
Nisheeth Shrivastava 160 0.5× 171 0.5× 307 1.1× 518 2.3× 119 0.8× 17 882
Jafar Adibi 303 0.9× 98 0.3× 343 1.2× 265 1.2× 299 2.1× 24 904
Kun‐Lung Wu 205 0.6× 239 0.8× 236 0.8× 497 2.2× 324 2.3× 32 888
Venu Satuluri 428 1.3× 179 0.6× 390 1.4× 152 0.7× 139 1.0× 10 751
P. Eades 197 0.6× 584 1.9× 138 0.5× 84 0.4× 90 0.6× 13 798
Pavel Berkhin 207 0.6× 128 0.4× 215 0.7× 141 0.6× 197 1.4× 15 625
Clémence Magnien 340 1.0× 93 0.3× 132 0.5× 188 0.8× 75 0.5× 31 732
Zhidan Feng 381 1.1× 254 0.8× 367 1.3× 156 0.7× 90 0.6× 24 758

Countries citing papers authored by Marco Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Marco Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Rosa. 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 Marco Rosa. The network helps show where Marco Rosa may publish in the future.

Co-authorship network of co-authors of Marco Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Rosa. A scholar is included among the top collaborators of Marco Rosa 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 Marco Rosa. Marco Rosa 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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