Riccardo Lancellotti
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Claudia CanaliMichele ColajanniMohammad ShojafarRoberto BeraldiLuca ChiaraviglioJemal AbawajyMauro AndreoliniDanilo Ardagna
- Topics
- Cloud Computing and Resource Management (43 papers)Caching and Content Delivery (41 papers)Peer-to-Peer Network Technologies (24 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Partner nations
- ItalyUnited StatesBrazil
In The Last Decade
Riccardo Lancellotti
80 papers receiving 720 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 601
- Information Systems 445
- Electrical and Electronic Engineering 110
- Artificial Intelligence 104
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Riccardo Lancellotti
This map shows the geographic impact of Riccardo Lancellotti'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 Riccardo Lancellotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Lancellotti more than expected).
Fields of papers citing papers by Riccardo Lancellotti
This network shows the impact of papers produced by Riccardo Lancellotti. 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 Riccardo Lancellotti. The network helps show where Riccardo Lancellotti may publish in the future.
Co-authorship network of co-authors of Riccardo Lancellotti
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Lancellotti. A scholar is included among the top collaborators of Riccardo Lancellotti 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 Riccardo Lancellotti. Riccardo Lancellotti 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 38 | |
| 12 | 27 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | Automated clustering of VMs for scalable cloud monitoring and management | 16 |
| 17 | 1 | |
| 18 | A Two-level Distributed Architecture for Web Content Adaptation and Delivery | 2 |
| 19 | Evaluating User-perceived Benefits of Content Distribution Networks | 1 |
| 20 | A scalable architecture for cooperative Web caching | 1 |
About Riccardo Lancellotti
Riccardo Lancellotti is a scholar working on Computer Networks and Communications, Information Systems and Industrial and Manufacturing Engineering, having authored 88 papers that have together received 744 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (43 papers), Caching and Content Delivery (41 papers) and Peer-to-Peer Network Technologies (24 papers). The work is most often cited by research in Computer Networks and Communications (601 citations), Information Systems (445 citations) and Computer Vision and Pattern Recognition (81 citations). Riccardo Lancellotti has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Claudia Canali, Michele Colajanni, Mohammad Shojafar, Roberto Beraldi, Luca Chiaraviglio, Jemal Abawajy, Mauro Andreolini, Danilo Ardagna, Michele Ciavotta and Valeria Cardellini. Their work appears in journals such as IEEE Access, Computer Networks and Journal of Parallel and Distributed 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.