Massimo Coppola

1.3k total citations
50 papers, 421 citations indexed

About

Massimo Coppola is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Massimo Coppola has authored 50 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 24 papers in Information Systems and 8 papers in Hardware and Architecture. Recurrent topics in Massimo Coppola's work include Cloud Computing and Resource Management (21 papers), Peer-to-Peer Network Technologies (17 papers) and Caching and Content Delivery (16 papers). Massimo Coppola is often cited by papers focused on Cloud Computing and Resource Management (21 papers), Peer-to-Peer Network Technologies (17 papers) and Caching and Content Delivery (16 papers). Massimo Coppola collaborates with scholars based in Italy, Greece and Spain. Massimo Coppola's co-authors include Emanuele Carlini, Laura Ricci, Patrizio Dazzi, Gaetano F. Anastasi, Marco Vanneschi, Matteo Mordacchini, Alberto Montresor, Marco Aldinucci, Marco Danelutto and Paolo Mori and has published in prestigious journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and IEEE Internet Computing.

In The Last Decade

Massimo Coppola

45 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Coppola Italy 13 316 226 62 36 29 50 421
Yaoping Ruan United States 11 247 0.8× 221 1.0× 177 2.9× 43 1.2× 21 0.7× 30 444
Philippe Pucheral France 11 286 0.9× 145 0.6× 155 2.5× 30 0.8× 35 1.2× 54 422
Owen Lo United Kingdom 10 138 0.4× 185 0.8× 146 2.4× 36 1.0× 55 1.9× 23 347
Luc Bouganim France 11 320 1.0× 144 0.6× 138 2.2× 39 1.1× 36 1.2× 48 441
Subhash Bhalla Japan 9 144 0.5× 118 0.5× 105 1.7× 28 0.8× 27 0.9× 84 360
Jens H. Jahnke Canada 11 167 0.5× 372 1.6× 251 4.0× 13 0.4× 31 1.1× 40 529
Dave Thomas Canada 11 143 0.5× 285 1.3× 183 3.0× 28 0.8× 9 0.3× 53 454
Amitanand S. Aiyer United States 9 564 1.8× 372 1.6× 125 2.0× 42 1.2× 39 1.3× 10 663
Cécile Germain‐Renaud France 11 138 0.4× 98 0.4× 118 1.9× 35 1.0× 15 0.5× 21 296

Countries citing papers authored by Massimo Coppola

Since Specialization
Citations

This map shows the geographic impact of Massimo Coppola'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 Massimo Coppola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Coppola more than expected).

Fields of papers citing papers by Massimo Coppola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Coppola. 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 Massimo Coppola. The network helps show where Massimo Coppola may publish in the future.

Co-authorship network of co-authors of Massimo Coppola

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Coppola. A scholar is included among the top collaborators of Massimo Coppola 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 Massimo Coppola. Massimo Coppola 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.
Carlini, Emanuele, et al.. (2023). DATA7: A Dataset for Assessing Resource and Application Management Solutions at the Edge. CINECA IRIS Institutial research information system (University of Pisa). 3–6. 1 indexed citations
2.
Carlini, Emanuele, et al.. (2023). SmartORC: smart orchestration of resources in the compute continuum. CINECA IRIS Institutial research information system (University of Pisa). 1. 6 indexed citations
3.
Carlini, Emanuele, et al.. (2022). Network Measurements with Function-as-a-Service for Distributed Low-latency Edge Applications. CINECA IRIS Institutial research information system (University of Pisa). 25–28. 2 indexed citations
4.
Mordacchini, Matteo, et al.. (2021). Latency preserving self-optimizing placement at the edge. ISTI Open Portal. 12 indexed citations
5.
Carlini, Emanuele, et al.. (2021). Impact of Network Topology on the Convergence of Decentralized Federated Learning Systems. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 2 indexed citations
6.
Tserpes, Konstantinos, Maria Pateraki, John Violos, et al.. (2020). Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources. Zenodo (CERN European Organization for Nuclear Research). 9–14. 19 indexed citations
7.
Tserpes, Konstantinos, Patrizio Dazzi, Emanuele Carlini, Massimo Coppola, & Dimitris Zissis. (2020). Special Issue on High Performance Services Computing and Internet Technologies. Future Generation Computer Systems. 109. 642–643.
8.
Gini, Rosa, Martijn J. Schuemie, Jeffrey S. Brown, et al.. (2016). Data Extraction And Management In Networks Of Observational Health Care Databases For Scientific Research: A Comparison Among EU-ADR, OMOP, Mini-Sentinel And MATRICE Strategies. SHILAP Revista de lepidopterología. 4(1). 2–2. 35 indexed citations
9.
Anastasi, Gaetano F., Emanuele Carlini, Massimo Coppola, et al.. (2014). Usage Control in Cloud Federations. CINECA IRIS Institutial research information system (University of Pisa). 141–146. 4 indexed citations
10.
Baraglia, Ranieri, Massimo Coppola, & Patrizio Dazzi. (2013). Proceedings of the first ACM workshop on Optimization techniques for resources management in clouds. 181. 254–5; author reply 255. 2 indexed citations
11.
Carlini, Emanuele, Laura Ricci, & Massimo Coppola. (2012). Reducing server load in MMOG via P2P gossip. 11. 7 indexed citations
12.
Carlini, Emanuele, Massimo Coppola, & Laura Ricci. (2011). Evaluating compass routing based AOI-cast by MOGs mobility models. 328–335. 11 indexed citations
13.
Carlini, Emanuele, Massimo Coppola, & Laura Ricci. (2010). Integration of P2P and clouds to support massively multiuser virtual environments. 17. 15 indexed citations
14.
Cisternino, Antonio, Paolo Ferragina, Davide Morelli, & Massimo Coppola. (2010). Information processing at work: On a theory for experimental algorithm complexity. UnipiEprints Open Archive (Università di Pisa). 1 indexed citations
15.
Antichi, Gianni, Christian Callegari, Andrea Di Pietro, et al.. (2009). A high level development, modeling and simulation methodology for complex multicore Network Processors. CINECA IRIS Institutial research information system (University of Pisa). 41. 5–12.
16.
Coppola, Massimo, et al.. (2009). DDT: A distributed data structure for the support of P2P range query. CINECA IRIS Institutial research information system (University of Pisa). 3 indexed citations
17.
Aldinucci, Marco, et al.. (2006). Self-configuring and self-optimizing grid components in the GCM model and their ASSIST implementation. CINECA IRIS Institutial research information system (University of Pisa). 45–52. 2 indexed citations
18.
Adami, Davide, et al.. (2006). Design and implementation of a grid network-aware resource broker. 11(1). 41–46. 10 indexed citations
19.
Aldinucci, Marco, et al.. (2006). High level Grid programming with ASSIST*. Computational Methods in Science and Technology. 12(1). 21–32. 7 indexed citations
20.
Aldinucci, Marco, Massimo Coppola, & Marco Danelutto. (1998). Rewriting skeleton programs: How to evaluate the data-parallel stream-parallel tradeoff. CINECA IRIS Institutial research information system (University of Pisa). 11 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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