Marco Miozzo

1.7k total citations
59 papers, 1.1k citations indexed

About

Marco Miozzo is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Marco Miozzo has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 37 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Marco Miozzo's work include Advanced MIMO Systems Optimization (39 papers), Energy Harvesting in Wireless Networks (18 papers) and Wireless Networks and Protocols (14 papers). Marco Miozzo is often cited by papers focused on Advanced MIMO Systems Optimization (39 papers), Energy Harvesting in Wireless Networks (18 papers) and Wireless Networks and Protocols (14 papers). Marco Miozzo collaborates with scholars based in Spain, Italy and Germany. Marco Miozzo's co-authors include Nicola Baldo, Paolo Dini, Michele Rossi, Giuseppe Piro, Manuel Requena‐Esteso, Michele Zorzi, Nicola Piovesan, Lorenza Giupponi, Gennaro Boggia and Luigi Alfredo Grieco and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Wireless Communications.

In The Last Decade

Marco Miozzo

55 papers receiving 1.1k citations

Peers

Marco Miozzo

EEE

CNC

Miguel Luís Portugal

Younghwan Yoo South Korea

Md. Farhad Hossain Bangladesh

Gianni Pasolini Italy

Eugenio Magistretti Italy

Jagruti Sahoo Canada

Alvin Valera Singapore

Meng‐Shiuan Pan Taiwan

Yasser Morgan Canada

Benny Vejlgaard Denmark

Miguel Luís Portugal

Marco Miozzo

404 ×0.4

EEE

476 ×0.7

CNC

29 ×0.4

34 ×0.5

43 ×0.9

Citations per year, relative to Marco Miozzo Marco Miozzo (= 1×) peers Miguel Luís

Countries citing papers authored by Marco Miozzo

Since Specialization

Citations

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

Fields of papers citing papers by Marco Miozzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Miozzo

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Miozzo. A scholar is included among the top collaborators of Marco Miozzo 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 Marco Miozzo. Marco Miozzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Miozzo, Marco, et al.. (2025). Reservoir computing for enhanced fidelity in hierarchical digital twin ecosystems. Future Generation Computer Systems. 176. 108146–108146.

Tuytelaars, Tinne, et al.. (2025). Joint Class and Domain Continual Learning for Decentralized Federated Processes. IEEE Access. 13. 56982–56993. 1 indexed citations

Pavlidis, Nikolaos, Francesc Wilhelmi, Marco Miozzo, et al.. (2024). Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting. IEEE Transactions on Sustainable Computing. 10(3). 576–587.

Vos, Martijn de, et al.. (2024). Energy-Aware Decentralized Learning with Intermittent Model Training. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 36. 1172–1174. 1 indexed citations

Wilhelmi, Francesc, et al.. (2023). The Cost of Training Machine Learning Models Over Distributed Data Sources. IEEE Open Journal of the Communications Society. 4. 1111–1126. 15 indexed citations

Miozzo, Marco, et al.. (2023). Fully Decentralized Client Selection for Energy-Efficient Federated Learning. Zenodo (CERN European Organization for Nuclear Research). 595–601. 1 indexed citations

Pavlidis, Nikolaos, Francesc Wilhelmi, Marco Miozzo, et al.. (2023). Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. SPIRE - Sciences Po Institutional REpository. 93–100. 9 indexed citations

Miozzo, Marco, et al.. (2021). Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells. IRIS UNIMORE (University of Modena and Reggio Emilia). 16 indexed citations

Miozzo, Marco, Zoraze Ali, Lorenza Giupponi, & Paolo Dini. (2021). Distributed and Multi-Task Learning at the Edge for Energy Efficient Radio Access Networks. IEEE Access. 9. 12491–12505. 14 indexed citations

10.

Ali, Zoraze, Lorenza Giupponi, Marco Miozzo, & Paolo Dini. (2021). Multi-Task Learning for Efficient Management of Beyond 5G Radio Access Network Architectures. IEEE Access. 9. 158892–158907. 10 indexed citations

11.

Piovesan, Nicola, Marco Miozzo, & Paolo Dini. (2020). Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations. Zenodo (CERN European Organization for Nuclear Research). 17. 8996–9000. 2 indexed citations

12.

Miozzo, Marco & Paolo Dini. (2018). Layered Learning Radio Resource Management for Energy Harvesting Small Base Stations. Zenodo (CERN European Organization for Nuclear Research). 1–6. 7 indexed citations

13.

Miozzo, Marco, Lorenza Giupponi, Michele Rossi, & Paolo Dini. (2015). Distributed Q-learning for energy harvesting Heterogeneous Networks. QRU Quaderns de Recerca en Urbanisme. 2006–2011. 31 indexed citations

14.

Baldo, Nicola, et al.. (2013). Implementation and Validation of LTE Downlink Schedulers for ns-3. 4 indexed citations

15.

Baldo, Nicola, Manuel Requena‐Esteso, Marco Miozzo, & Raymond Kwan. (2013). An open source model for the simulation of LTE handover scenarios and algorithms in ns-3. 289–298. 26 indexed citations

16.

Piro, Giuseppe, Marco Miozzo, Giuseppe Forte, et al.. (2012). HetNets Powered by Renewable Energy Sources: Sustainable Next-Generation Cellular Networks. IEEE Internet Computing. 17(1). 32–39. 132 indexed citations

17.

Mezzavilla, Marco, Marco Miozzo, Michele Rossi, Nicola Baldo, & Michele Zorzi. (2012). A lightweight and accurate link abstraction model for the simulation of LTE networks in ns-3. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 55–60. 53 indexed citations

18.

Baldo, Nicola, et al.. (2008). A new approach to simulating PHY, MAC and routing. 9 indexed citations

19.

Bria, Aurelian, et al.. (2007). Validation of the Ambient Networks System Architecture. 784–791. 1 indexed citations

20.

Agüero, Ramón, et al.. (2006). Routing groups in ambient networking. 63–63. 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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