Silvia Bianchi
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Management Information Systems top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Marco A. S. NettoMarcos Dias de AssunçãoRajkumar BuyyaRodrigo N. CalheirosPascal FelberPeter KropfFernando KochMaria Potop-Butucaru
- Topics
- Peer-to-Peer Network Technologies (3 papers)Caching and Content Delivery (3 papers)Cloud Computing and Resource Management (3 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsJournal of Parallel and Distributed ComputingIEEE Internet Computing
- Partner nations
- BrazilFranceUnited States
In The Last Decade
Silvia Bianchi
12 papers receiving 552 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Information Systems 268
- Computer Networks and Communications 262
- Management Information Systems 183
- Artificial Intelligence 100
- Management Science and Operations Research 92
Countries citing papers authored by Silvia Bianchi
This map shows the geographic impact of Silvia Bianchi'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 Silvia Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Bianchi more than expected).
Fields of papers citing papers by Silvia Bianchi
This network shows the impact of papers produced by Silvia Bianchi. 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 Silvia Bianchi. The network helps show where Silvia Bianchi may publish in the future.
Co-authorship network of co-authors of Silvia Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Bianchi. A scholar is included among the top collaborators of Silvia Bianchi 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 Silvia Bianchi. Silvia Bianchi 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 | Building a Home for Italian Audio Archives | 0 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | Big Data computing and clouds: Trends and future directionsbreakdown → | 494 |
| 9 | 3 | |
| 10 | Big Data Computing and Clouds: Challenges, Solutions, and Future Directions | 21 |
| 11 | 25 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 16 |
About Silvia Bianchi
Silvia Bianchi is a scholar working on Music, Management Information Systems and Computer Networks and Communications, having authored 14 papers that have together received 588 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Caching and Content Delivery (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Management Information Systems (183 citations), Information Systems and Management (83 citations) and Information Systems (268 citations). Silvia Bianchi has collaborated with scholars based in Brazil, France and United States. Frequent co-authors include Marco A. S. Netto, Marcos Dias de Assunção, Rajkumar Buyya, Rodrigo N. Calheiros, Pascal Felber, Peter Kropf, Fernando Koch, Maria Potop-Butucaru, Annegret K. Wagler and Heloísa Candello. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing and IEEE Internet Computing.
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.