Gianlorenzo D’Angelo
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Mechanical Engineering
- Co-authors
- Alfredo NavarraGabriele Di StefanoDaniele FrigioniAlberto Marchetti-SpaccamelaVincenzo BonifaciLeen StougieHaohan LiSerafino Cicerone
- Topics
- Complex Network Analysis Techniques (20 papers)Optimization and Search Problems (17 papers)Opinion Dynamics and Social Influence (12 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Gianlorenzo D’Angelo
59 papers receiving 669 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 326
- Hardware and Architecture 176
- Statistical and Nonlinear Physics 144
- Computational Theory and Mathematics 119
- Mechanical Engineering 88
Countries citing papers authored by Gianlorenzo D’Angelo
This map shows the geographic impact of Gianlorenzo D’Angelo'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 Gianlorenzo D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianlorenzo D’Angelo more than expected).
Fields of papers citing papers by Gianlorenzo D’Angelo
This network shows the impact of papers produced by Gianlorenzo D’Angelo. 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 Gianlorenzo D’Angelo. The network helps show where Gianlorenzo D’Angelo may publish in the future.
Co-authorship network of co-authors of Gianlorenzo D’Angelo
This figure shows the co-authorship network connecting the top 25 collaborators of Gianlorenzo D’Angelo. A scholar is included among the top collaborators of Gianlorenzo D’Angelo 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 Gianlorenzo D’Angelo. Gianlorenzo D’Angelo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | Models and Algorithms for Election Control through Influence Maximization. | 0 |
| 9 | 6 | |
| 10 | 9 | |
| 11 | Influence Maximization in the Independent Cascade Model. | 7 |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 63 | |
| 15 | Optimal placement of storage nodes in a wireless sensor network. | 2 |
| 16 | 28 | |
| 17 | 8 | |
| 18 | Recoverable Robustness for Train Shunting Problems | 16 |
| 19 | 5 | |
| 20 | 17 |
About Gianlorenzo D’Angelo
Gianlorenzo D’Angelo is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computational Theory and Mathematics, having authored 64 papers that have together received 694 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (20 papers), Optimization and Search Problems (17 papers) and Opinion Dynamics and Social Influence (12 papers). The work is most often cited by research in Hardware and Architecture (176 citations), Computer Networks and Communications (326 citations) and Statistical and Nonlinear Physics (144 citations). Gianlorenzo D’Angelo has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Alfredo Navarra, Gabriele Di Stefano, Daniele Frigioni, Alberto Marchetti-Spaccamela, Vincenzo Bonifaci, Leen Stougie, Haohan Li, Serafino Cicerone, Mattia D’Emidio and Federico Corò. Their work appears in journals such as IEEE Access, Artificial Intelligence and Journal of the ACM.
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.