Gregorio D’Agostino
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 5%
- Materials Chemistry
- Civil and Structural Engineering top 10%
- Atmospheric Science
- Co-authors
- Antonio ScalaH. Eugene StanleyDi ZhouPiet Van MieghemGuido CaldarelliS. MobilioHuijuan WangShlomo Havlin
- Topics
- Complex Network Analysis Techniques (13 papers)nanoparticles nucleation surface interactions (7 papers)Opinion Dynamics and Social Influence (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Gregorio D’Agostino
35 papers receiving 856 citations
Peers
Comparison fields: 5 of 115
- Statistical and Nonlinear Physics 470
- Computer Networks and Communications 181
- Materials Chemistry 134
- Civil and Structural Engineering 104
- Atmospheric Science 75
Countries citing papers authored by Gregorio D’Agostino
This map shows the geographic impact of Gregorio D’Agostino'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 Gregorio D’Agostino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregorio D’Agostino more than expected).
Fields of papers citing papers by Gregorio D’Agostino
This network shows the impact of papers produced by Gregorio D’Agostino. 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 Gregorio D’Agostino. The network helps show where Gregorio D’Agostino may publish in the future.
Co-authorship network of co-authors of Gregorio D’Agostino
This figure shows the co-authorship network connecting the top 25 collaborators of Gregorio D’Agostino. A scholar is included among the top collaborators of Gregorio D’Agostino 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 Gregorio D’Agostino. Gregorio D’Agostino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | Epidemic Fault Propagation and Synchronization for Networks of Networks | 1 |
| 9 | 7 | |
| 10 | 45 | |
| 11 | 228 | |
| 12 | 120 | |
| 13 | 145 | |
| 14 | 12 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 9 |
About Gregorio D’Agostino
Gregorio D’Agostino is a scholar working on Statistical and Nonlinear Physics, Atmospheric Science and Materials Chemistry, having authored 37 papers that have together received 887 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), nanoparticles nucleation surface interactions (7 papers) and Opinion Dynamics and Social Influence (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (470 citations), Computer Networks and Communications (181 citations) and Modeling and Simulation (31 citations). Gregorio D’Agostino has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Antonio Scala, H. Eugene Stanley, Di Zhou, Piet Van Mieghem, Guido Caldarelli, S. Mobilio, Huijuan Wang, Shlomo Havlin, Qian Li and Vinko Zlatić. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.
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.