Claudio Silvestri
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Transportation top 5%
- Co-authors
- Maria Luisa DamianiElisa BertinoSalvatore OrlandoAlessandra RaffaetàGabriel GhinitaAlessandro RoncatoMalcolm H. RayRenzo Orsini
- Topics
- Data Management and Algorithms (16 papers)Privacy-Preserving Technologies in Data (12 papers)Data Mining Algorithms and Applications (10 papers)
- Partner nations
- ItalyUnited StatesTürkiye
In The Last Decade
Claudio Silvestri
46 papers receiving 736 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 398
- Signal Processing 236
- Sociology and Political Science 169
- Computer Networks and Communications 156
- Transportation 130
Countries citing papers authored by Claudio Silvestri
This map shows the geographic impact of Claudio Silvestri'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 Claudio Silvestri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Silvestri more than expected).
Fields of papers citing papers by Claudio Silvestri
This network shows the impact of papers produced by Claudio Silvestri. 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 Claudio Silvestri. The network helps show where Claudio Silvestri may publish in the future.
Co-authorship network of co-authors of Claudio Silvestri
This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Silvestri. A scholar is included among the top collaborators of Claudio Silvestri 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 Claudio Silvestri. Claudio Silvestri 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 | 1 | |
| 3 | 11 | |
| 4 | 35 | |
| 5 | 34 | |
| 6 | The PROBE Framework for the Personalized Cloaking of Private Locations | 76 |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 28 | |
| 10 | 85 | |
| 11 | 5 | |
| 12 | Trajectory Data Warehouses: Design Issues and Use Cases | 3 |
| 13 | Designing a Spatio-Temporal Trajectory Data Warehouse | 1 |
| 14 | 46 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 17 | |
| 18 | 28 | |
| 19 | CCSM: an Efficient Algorithm for Constrained Sequence Mining | 0 |
| 20 | Dalla redenzione al fascismo : Trieste 1918-1922 | 2 |
About Claudio Silvestri
Claudio Silvestri is a scholar working on Signal Processing, Computer Science Applications and Artificial Intelligence, having authored 50 papers that have together received 787 indexed citations. Recurring topics across this work include Data Management and Algorithms (16 papers), Privacy-Preserving Technologies in Data (12 papers) and Data Mining Algorithms and Applications (10 papers). The work is most often cited by research in Signal Processing (236 citations), Transportation (130 citations) and Computer Science Applications (104 citations). Claudio Silvestri has collaborated with scholars based in Italy, United States and Türkiye. Frequent co-authors include Maria Luisa Damiani, Elisa Bertino, Salvatore Orlando, Alessandra Raffaetà, Gabriel Ghinita, Alessandro Roncato, Malcolm H. Ray, Renzo Orsini, Osman Abul and Fabio Pranovi. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Marine Chemistry.
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.