Mattia Merluzzi

775 total citations
35 papers, 395 citations indexed

About

Mattia Merluzzi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mattia Merluzzi has authored 35 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Mattia Merluzzi's work include IoT and Edge/Fog Computing (16 papers), Age of Information Optimization (12 papers) and Advanced Wireless Communication Technologies (12 papers). Mattia Merluzzi is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Age of Information Optimization (12 papers) and Advanced Wireless Communication Technologies (12 papers). Mattia Merluzzi collaborates with scholars based in Italy, France and Germany. Mattia Merluzzi's co-authors include Sergio Barbarossa, Paolo Di Lorenzo, Emilio Calvanese Strinati, Valerio Frascolla, Elena Ceci, Stefania Sardellitti, Nicola di Pietro, Leonardo Gomes Baltar, Miltiadis C. Filippou and Antonio Clemente and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Mattia Merluzzi

33 papers receiving 391 citations

Peers

Mattia Merluzzi

CNC

EEE

Hatim Chergui Spain

Wonjong Noh South Korea

Abderrahime Filali Canada

Hongli He China

Mu Yan China

Bishmita Hazarika Taiwan

Wenqi Zhou China

Ziling Wei China

Md. Mamun-Or-Rashid Bangladesh

Li Ji China

Hatim Chergui Spain

Mattia Merluzzi

318 ×1.3

CNC

329 ×1.5

EEE

101 ×1.1

42 ×0.9

40 ×1.0

Citations per year, relative to Mattia Merluzzi Mattia Merluzzi (= 1×) peers Hatim Chergui

Countries citing papers authored by Mattia Merluzzi

Since Specialization

Citations

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

Fields of papers citing papers by Mattia Merluzzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Merluzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Merluzzi. A scholar is included among the top collaborators of Mattia Merluzzi 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 Mattia Merluzzi. Mattia Merluzzi 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

Merluzzi, Mattia, Miltiadis C. Filippou, Leonardo Gomes Baltar, Markus Mueck, & Emilio Calvanese Strinati. (2024). 6G Goal-Oriented Communications: How to Coexist with Legacy Systems?. SHILAP Revista de lepidopterología. 5(1). 65–97. 4 indexed citations

Merluzzi, Mattia & Antonio Clemente. (2024). Anomalous and Specular Reflections of Reconfigurable Intelligent Surfaces: Configuration Strategies and System Performance. IEEE Wireless Communications Letters. 13(10). 2707–2711. 2 indexed citations

Strinati, Emilio Calvanese, Paolo Di Lorenzo, Vincenzo Sciancalepore, et al.. (2024). Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. SPIRE - Sciences Po Institutional REpository. 1–6. 28 indexed citations

Merluzzi, Mattia, et al.. (2024). Optimizing RIS Impairments through Semantic Communication. 1–6.

Merluzzi, Mattia, et al.. (2024). Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations

Merluzzi, Mattia, et al.. (2023). Energy-Efficient Cooperative Inference Via Adaptive Deep Neural Network Splitting at the Edge. SPIRE - Sciences Po Institutional REpository. 1712–1717. 3 indexed citations

Lorenzo, Paolo Di, et al.. (2023). Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization. IEEE Internet of Things Magazine. 6(4). 26–32. 11 indexed citations

Sabella, Dario, Giovanni Nardini, Panagiotis Demestichas, et al.. (2023). Innovation Management in 6G Research: The Case of Hexa-X Project. IEEE Communications Magazine. 62(2). 142–149. 4 indexed citations

Merluzzi, Mattia, et al.. (2022). Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 5457–5462. 5 indexed citations

10.

Merluzzi, Mattia, Serge Bories, & Emilio Calvanese Strinati. (2022). Energy-Efficient Dynamic Edge Computing with Electromagnetic Field Exposure Constraints. Zenodo (CERN European Organization for Nuclear Research). 202–207. 1 indexed citations

11.

Merluzzi, Mattia, Miltiadis C. Filippou, Leonardo Gomes Baltar, & Emilio Calvanese Strinati. (2022). Effective Goal-oriented 6G Communications: the Energy-aware Edge Inferencing Case. Zenodo (CERN European Organization for Nuclear Research). 457–462. 8 indexed citations

12.

Merluzzi, Mattia, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, & Sergio Barbarossa. (2021). Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing. IEEE Transactions on Green Communications and Networking. 6(2). 1242–1257. 20 indexed citations

13.

Merluzzi, Mattia, Paolo Di Lorenzo, & Sergio Barbarossa. (2021). Wireless Edge Machine Learning: Resource Allocation and Trade-Offs. IEEE Access. 9. 45377–45398. 38 indexed citations

14.

Lorenzo, Paolo Di, et al.. (2021). Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge. IRIS Research product catalog (Sapienza University of Rome). 4910–4914. 12 indexed citations

15.

Merluzzi, Mattia, et al.. (2021). Dynamic Ensemble Inference at the Edge. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 6 indexed citations

16.

Merluzzi, Mattia, Paolo Di Lorenzo, Sergio Barbarossa, & Valerio Frascolla. (2020). Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications. IEEE Transactions on Signal and Information Processing over Networks. 6. 342–356. 68 indexed citations

17.

Strinati, Emilio Calvanese, Thomas Haustein, Mickael Maman, et al.. (2020). Beyond 5G Private Networks: the 5G CONNI Perspective. SPIRE - Sciences Po Institutional REpository. 1–6. 15 indexed citations

18.

Merluzzi, Mattia, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, & Sergio Barbarossa. (2019). Network Energy Efficient Mobile Edge Computing with Reliability Guarantees. SPIRE - Sciences Po Institutional REpository. 1–6. 9 indexed citations

19.

Merluzzi, Mattia, Paolo Di Lorenzo, Sergio Barbarossa, & Valerio Frascolla. (2019). Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC. IRIS Research product catalog (Sapienza University of Rome). 18. 1–6. 4 indexed citations

20.

Sardellitti, Stefania, et al.. (2018). Joint Optimization of Caching and Transport in Proactive Edge Cloud. 797–801. 3 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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