Riccardo Lancellotti

1.1k total citations
88 papers, 744 citations indexed

About

Riccardo Lancellotti is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Riccardo Lancellotti has authored 88 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Networks and Communications, 52 papers in Information Systems and 14 papers in Artificial Intelligence. Recurrent topics in Riccardo Lancellotti's work include Cloud Computing and Resource Management (43 papers), Caching and Content Delivery (41 papers) and Peer-to-Peer Network Technologies (24 papers). Riccardo Lancellotti is often cited by papers focused on Cloud Computing and Resource Management (43 papers), Caching and Content Delivery (41 papers) and Peer-to-Peer Network Technologies (24 papers). Riccardo Lancellotti collaborates with scholars based in Italy, United States and Brazil. Riccardo Lancellotti's co-authors include Claudia Canali, Michele Colajanni, Mohammad Shojafar, Roberto Beraldi, Luca Chiaraviglio, Jemal Abawajy, Mauro Andreolini, Valeria Cardellini, Michele Ciavotta and Danilo Ardagna and has published in prestigious journals such as IEEE Access, Computer Networks and Journal of Parallel and Distributed Computing.

In The Last Decade

Riccardo Lancellotti

80 papers receiving 720 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Riccardo Lancellotti 601 445 110 104 81 88 744
Claudia Canali 623 1.0× 422 0.9× 123 1.1× 99 1.0× 84 1.0× 81 780
Jinliang Xu 690 1.1× 362 0.8× 207 1.9× 128 1.2× 101 1.2× 14 847
Nick Antonopoulos 540 0.9× 349 0.8× 93 0.8× 107 1.0× 149 1.8× 84 780
Jingpan Bai 336 0.6× 225 0.5× 95 0.9× 89 0.9× 45 0.6× 24 556
Zhengzhe Xiang 544 0.9× 412 0.9× 138 1.3× 137 1.3× 106 1.3× 34 752
Ali Rahmanian 639 1.1× 499 1.1× 139 1.3× 132 1.3× 86 1.1× 14 775
Lena Mashayekhy 716 1.2× 710 1.6× 167 1.5× 144 1.4× 65 0.8× 56 1.1k
Abdelouahed Gherbi 284 0.5× 276 0.6× 68 0.6× 160 1.5× 54 0.7× 62 596
Andy Rindos 700 1.2× 595 1.3× 96 0.9× 147 1.4× 44 0.5× 17 930

Countries citing papers authored by Riccardo Lancellotti

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Passacantando, Mauro, et al.. (2025). A Robust Game Approach for On Spot Price Cloud Markets in Microservice-Based Applications. IEEE Access. 13. 42178–42195.
2.
Queiroz, Thiago Alves de, et al.. (2025). A Real-World Multi-Depot, Multi-Period, and Multi-Trip Vehicle Routing Problem with Time Windows. IRIS UNIMORE (University of Modena and Reggio Emilia). 112–122.
3.
Lancellotti, Riccardo, et al.. (2024). ConSUMO: Simulation-based tool to evaluate mobile traffic impact on cell towers load. Iris Unimore (University of Modena and Reggio Emilia). 1–6.
4.
Queiroz, Thiago Alves de, et al.. (2024). An Optimization-Based Decision Support System for Multi-trip Vehicle Routing Problems. SN Computer Science. 5(2). 2 indexed citations
5.
Canali, Claudia, et al.. (2023). Placement of IoT Microservices in Fog Computing Systems: A Comparison of Heuristics. Algorithms. 16(9). 441–441. 6 indexed citations
6.
Ardagna, Danilo, et al.. (2023). FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum. Cineca Institutional Research Information System (Tor Vergata University). 1–8.
7.
Queiroz, Thiago Alves de, et al.. (2023). A Decision Support System for Multi-Trip Vehicle Routing Problems. IRIS UNIMORE (University of Modena and Reggio Emilia). 335–343. 1 indexed citations
8.
Stefanini, Matteo, Riccardo Lancellotti, Lorenzo Baraldi, & Simone Calderara. (2019). A Deep-learning-based approach to VM behavior Identification in Cloud Systems. IRIS UNIMORE (University of Modena and Reggio Emilia). 4 indexed citations
9.
Ardagna, Danilo, Michele Ciavotta, Riccardo Lancellotti, & Michele Guerriero. (2018). A Hierarchical Receding Horizon Algorithm for QoS-Driven Control of Multi-IaaS Applications. IEEE Transactions on Cloud Computing. 9(2). 418–434. 13 indexed citations
10.
Ardagna, Danilo, Claudia Canali, & Riccardo Lancellotti. (2018). Special Issue on Algorithms for the Resource Management of Large Scale Infrastructures. Algorithms. 11(12). 200–200. 1 indexed citations
11.
Shojafar, Mohammad, Claudia Canali, Riccardo Lancellotti, & Enzo Baccarelli. (2016). Minimizing computing-plus-communication energy consumptions in virtualized networked data centers. IRIS UNIMORE (University of Modena and Reggio Emilia). 1137–1144. 16 indexed citations
12.
Canali, Claudia & Riccardo Lancellotti. (2014). Improving Scalability of Cloud Monitoring Through PCA-Based Clustering of Virtual Machines. Journal of Computer Science and Technology. 29(1). 38–52. 25 indexed citations
13.
Canali, Claudia & Riccardo Lancellotti. (2012). Automated clustering of VMs for scalable cloud monitoring and management. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–5. 16 indexed citations
14.
Canali, Claudia & Riccardo Lancellotti. (2012). Automated Clustering of Virtual Machines based on Correlation of Resource Usage. Journal of Communications Software and Systems. 8(4). 102–102. 13 indexed citations
15.
Canali, Claudia, Michele Colajanni, & Riccardo Lancellotti. (2010). Characteristics and evolution of content popularity and user relations in social networks. IRIS UNIMORE (University of Modena and Reggio Emilia). 311. 750–756. 17 indexed citations
16.
Andreolini, Mauro, Michele Colajanni, & Riccardo Lancellotti. (2006). Impact of Memory Technology Trends on Performance of Web Systems. IRIS UNIMORE (University of Modena and Reggio Emilia). 8. 207–213. 1 indexed citations
17.
Canali, Claudia, et al.. (2005). A Two-level Distributed Architecture for Web Content Adaptation and Delivery. 132–140. 2 indexed citations
18.
Canali, Claudia, Valeria Cardellini, Michele Colajanni, & Riccardo Lancellotti. (2004). Evaluating User-perceived Benefits of Content Distribution Networks. IRIS UNIMORE (University of Modena and Reggio Emilia). 1 indexed citations
19.
Cardellini, Valeria, Michele Colajanni, Riccardo Lancellotti, & Philip S. Yu. (2004). A distributed architecture of edge proxy servers for cooperative transcoding. Cineca Institutional Research Information System (Tor Vergata University). 66–70. 8 indexed citations
20.
Lancellotti, Riccardo, Bruno Ciciani, & Michele Colajanni. (2002). A scalable architecture for cooperative Web caching. IRIS UNIMORE (University of Modena and Reggio Emilia). 2376. 29–41. 1 indexed citations

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.

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