Marco Rosa
- Statistical and Nonlinear Physics top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Paolo BoldiSebastiano VignaMassimo SantiniJohan UganderLars BäckströmAlessandro RozzaGabriele LombardiElena Casiraghi
- Topics
- Complex Network Analysis Techniques (4 papers)Peer-to-Peer Network Technologies (3 papers)Graph Theory and Algorithms (2 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- Social Network Analysis and Mining
In The Last Decade
Marco Rosa
6 papers receiving 704 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Statistical and Nonlinear Physics 336
- Computer Vision and Pattern Recognition 314
- Artificial Intelligence 289
- Computer Networks and Communications 222
- Information Systems 144
Countries citing papers authored by Marco Rosa
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | Four degrees of separationbreakdown → | 292 |
| 4 | Layered label propagationbreakdown → | 360 |
| 5 | 68 | |
| 6 | O-IPCAC and its Application to EEG Classification | 4 |
About Marco Rosa
Marco Rosa is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 745 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (336 citations), Computer Vision and Pattern Recognition (314 citations) and Computer Networks and Communications (222 citations). Marco Rosa has collaborated with scholars based in Italy and Israel. Frequent co-authors include Paolo Boldi, Sebastiano Vigna, Massimo Santini, Johan Ugander, Lars Bäckström, Alessandro Rozza, Gabriele Lombardi and Elena Casiraghi. Their work appears in journals such as Social Network Analysis and Mining.
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.