Paolo Dini

1.9k total citations
91 papers, 1.2k citations indexed

About

Paolo Dini is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Paolo Dini has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 43 papers in Computer Networks and Communications and 23 papers in Artificial Intelligence. Recurrent topics in Paolo Dini's work include Advanced MIMO Systems Optimization (31 papers), Energy Harvesting in Wireless Networks (21 papers) and Wireless Networks and Protocols (14 papers). Paolo Dini is often cited by papers focused on Advanced MIMO Systems Optimization (31 papers), Energy Harvesting in Wireless Networks (21 papers) and Wireless Networks and Protocols (14 papers). Paolo Dini collaborates with scholars based in Spain, Italy and United States. Paolo Dini's co-authors include Marco Miozzo, Lorenza Giupponi, Hoang Duy Trinh, Nicola Baldo, Nicola Piovesan, Michele Rossi, Gennaro Boggia, Giuseppe Piro, Ángel Fernández Gambı́n and Luigi Alfredo Grieco and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Paolo Dini

83 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Dini Spain 20 736 566 219 104 75 91 1.2k
Kai Xing China 21 419 0.6× 814 1.4× 311 1.4× 107 1.0× 122 1.6× 60 1.3k
Fanzi Zeng China 16 479 0.7× 609 1.1× 264 1.2× 97 0.9× 131 1.7× 35 1.2k
Jinsong Gui China 20 569 0.8× 721 1.3× 163 0.7× 40 0.4× 45 0.6× 91 1.2k
Adamu Murtala Zungeru Botswana 16 755 1.0× 796 1.4× 184 0.8× 70 0.7× 27 0.4× 88 1.4k
Zongjian He China 17 428 0.6× 435 0.8× 147 0.7× 53 0.5× 119 1.6× 41 814
Junhui Zhao China 15 594 0.8× 430 0.8× 125 0.6× 34 0.3× 28 0.4× 99 919
Guangwei Bai China 12 229 0.3× 419 0.7× 109 0.5× 74 0.7× 58 0.8× 73 722
Yasir Mehmood Germany 9 442 0.6× 516 0.9× 73 0.3× 65 0.6× 57 0.8× 20 863
Sema Oktuğ Türkiye 19 857 1.2× 820 1.4× 257 1.2× 45 0.4× 28 0.4× 76 1.5k
Joongheon Kim South Korea 18 946 1.3× 490 0.9× 160 0.7× 72 0.7× 164 2.2× 76 1.4k

Countries citing papers authored by Paolo Dini

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Dini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Dini

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Dini. A scholar is included among the top collaborators of Paolo Dini 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 Paolo Dini. Paolo Dini 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.
Miozzo, Marco, et al.. (2025). Reservoir computing for enhanced fidelity in hierarchical digital twin ecosystems. Future Generation Computer Systems. 176. 108146–108146.
2.
Vilajosana, Xavier, et al.. (2025). An open testbed for O-RAN experimentation with AI-enabled control and monitoring. Internet of Things. 33. 101729–101729.
3.
Tuytelaars, Tinne, et al.. (2025). Joint Class and Domain Continual Learning for Decentralized Federated Processes. IEEE Access. 13. 56982–56993. 1 indexed citations
4.
Ahmad, Ijaz, et al.. (2025). On resource consumption of machine learning in communications network security. Computer Networks. 271. 111600–111600. 1 indexed citations
5.
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.
6.
Wilhelmi, Francesc, et al.. (2024). The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies. Computer Networks. 245. 110361–110361. 3 indexed citations
7.
Kalalas, Charalampos, et al.. (2024). Knowledge Transfer for Collaborative Misbehavior Detection in Untrusted Vehicular Environments. IEEE Transactions on Vehicular Technology. 74(1). 425–440. 1 indexed citations
8.
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
9.
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
10.
Wilhelmi, Francesc, Sergio Barrachina‐Muñoz, & Paolo Dini. (2022). End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications. IEEE Communications Letters. 26(10). 2332–2335. 22 indexed citations
11.
Hassan, Hussein Al Haj, et al.. (2022). Energy Optimization With Multi-Sleeping Control in 5G Heterogeneous Networks Using Reinforcement Learning. IEEE Transactions on Network and Service Management. 19(4). 4310–4322. 40 indexed citations
12.
Wilhelmi, Francesc, Lorenza Giupponi, & Paolo Dini. (2022). Analysis and evaluation of synchronous and asynchronous FLchain. Computer Networks. 218. 109390–109390. 5 indexed citations
13.
Piro, Giuseppe, et al.. (2021). Anticipatory Allocation of Communication and Computational Resources at the Edge Using Spatio-Temporal Dynamics of Mobile Users. IEEE Transactions on Network and Service Management. 18(4). 4548–4562. 13 indexed citations
14.
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
15.
Trinh, Hoang Duy, Ángel Fernández Gambı́n, Lorenza Giupponi, Michele Rossi, & Paolo Dini. (2020). Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach. IEEE Transactions on Network and Service Management. 18(2). 1946–1961. 24 indexed citations
16.
Piro, Giuseppe, et al.. (2020). Multi-Task Learning at the Mobile Edge: An Effective Way to Combine Traffic Classification and Prediction. IEEE Transactions on Vehicular Technology. 69(9). 10362–10374. 47 indexed citations
17.
Trinh, Hoang Duy, Ángel Fernández Gambı́n, Lorenza Giupponi, & Paolo Dini. (2019). Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach.. arXiv (Cornell University). 2 indexed citations
18.
Dini, Paolo, et al.. (2008). A reconfigurable framework for experimental analysis of single and multi hop WLANs. 107. 1–6. 2 indexed citations
19.
Darking, Mary, Edgar A. Whitley, & Paolo Dini. (2006). The challenge of building public technology infrastructure: issues of governance and sustainability in a digital business ecosystem. Journal of the Association for Information Systems. 2030–2038. 5 indexed citations
20.
Dini, Paolo & Roberto Cusani. (2005). A Fuzzy Logic Approach to Solve Call Admission Control Issues in CDMA Systems. IRIS Research product catalog (Sapienza University of Rome). 797–802. 4 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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