Riccardo Marini

1.0k total citations · 1 hit paper
24 papers, 686 citations indexed

About

Riccardo Marini is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Riccardo Marini has authored 24 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 9 papers in Aerospace Engineering. Recurrent topics in Riccardo Marini's work include UAV Applications and Optimization (8 papers), IoT Networks and Protocols (7 papers) and Energy Harvesting in Wireless Networks (6 papers). Riccardo Marini is often cited by papers focused on UAV Applications and Optimization (8 papers), IoT Networks and Protocols (7 papers) and Energy Harvesting in Wireless Networks (6 papers). Riccardo Marini collaborates with scholars based in Italy and Finland. Riccardo Marini's co-authors include Elio Berutti, A Angeretti, Raffaele Pugliese, Stefano Regondi, Chiara Buratti, Konstantin Mikhaylov, Gianni Pasolini, Walter Cerroni, Roberto Verdone and Anna Rosa Garbuglia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Riccardo Marini

20 papers receiving 640 citations

Hit Papers

Machine learning-based ap... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning-based approach: global trends, research directions, and regulatory standpoints
    2021 185 citations Raffaele Pugliese, Stefano Regondi et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riccardo Marini Italy 10 252 190 148 101 87 24 686
Кrzysztof Przystupa Poland 17 28 0.1× 144 0.8× 130 0.9× 90 0.9× 17 0.2× 92 717
Quang Ngọc Nguyễn Japan 16 55 0.2× 544 2.9× 472 3.2× 61 0.6× 4 0.0× 62 1.2k
Weidong Wang China 12 69 0.3× 56 0.3× 68 0.5× 20 0.2× 3 0.0× 47 679
S. Paul Switzerland 22 848 3.4× 181 1.0× 782 5.3× 1.3k 13.3× 54 0.6× 56 2.5k
Ali Mohammad Saghiri Iran 15 467 1.9× 30 0.2× 163 1.1× 250 2.5× 41 0.5× 60 838
Ke Lü China 9 37 0.1× 33 0.2× 12 0.1× 94 0.9× 11 0.1× 29 551
Zhengmin Kong China 13 37 0.1× 288 1.5× 142 1.0× 2 0.0× 21 0.2× 62 605
Hao Lü China 13 4 0.0× 159 0.8× 99 0.7× 9 0.1× 22 0.3× 57 451

Countries citing papers authored by Riccardo Marini

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Marini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Marini

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Marini. A scholar is included among the top collaborators of Riccardo Marini 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 Marini. Riccardo Marini 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.
Marini, Riccardo, et al.. (2025). NB-IoT for Direct-to-Satellite Communications: Performance Modeling and Evaluation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–7.
2.
3.
Marini, Riccardo, et al.. (2024). On the Support of the 2.4 GHz Band in the LoRaWAN Standard. IEEE Internet of Things Magazine. 7(6). 66–71. 2 indexed citations
4.
Buratti, Chiara, et al.. (2024). Joint Trajectory Design and Radio Resource Management for UAV-Aided Vehicular Networks. IEEE Transactions on Vehicular Technology. 74(1). 847–860. 2 indexed citations
5.
6.
Marini, Riccardo, et al.. (2024). QoE and Cost-Aware Resource and Interference Management in Aerial-Terrestrial Networks for Vehicular Applications. IEEE Transactions on Vehicular Technology. 73(8). 11249–11261. 3 indexed citations
7.
Buratti, Chiara, et al.. (2023). DRL Path Planning for UAV-Aided V2X Networks: Comparing Discrete to Continuous Action Spaces. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 5 indexed citations
8.
Marini, Riccardo, Sangwoo Park, Osvaldo Simeone, & Chiara Buratti. (2023). Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 5664–5669. 9 indexed citations
9.
Buccino, Federica, et al.. (2023). Isolating the Role of Bone Lacunar Morphology on Static and Fatigue Fracture Progression through Numerical Simulations. Materials. 16(5). 1931–1931. 4 indexed citations
10.
Marini, Riccardo, et al.. (2022). Optimizing Beam Selection and Resource Allocation in UAV-Aided Vehicular Networks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 184–189. 9 indexed citations
11.
Marini, Riccardo, et al.. (2022). Reinforcement Learning-Based Trajectory Planning For UAV-aided Vehicular Communications. 2022 30th European Signal Processing Conference (EUSIPCO). 967–971. 9 indexed citations
12.
Marini, Riccardo, et al.. (2021). A Sensing-without-Sensors System for Soil Moisture Estimation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 192–196. 2 indexed citations
13.
Marini, Riccardo, Konstantin Mikhaylov, Gianni Pasolini, & Chiara Buratti. (2021). LoRaWANSim: A Flexible Simulator for LoRaWAN Networks. Sensors. 21(3). 695–695. 47 indexed citations
14.
Marini, Riccardo, et al.. (2021). On the Performance of a UAV-Aided Wireless Network Based on NB-IoT. Drones. 5(3). 94–94. 13 indexed citations
15.
Pugliese, Raffaele, Stefano Regondi, & Riccardo Marini. (2021). Machine learning-based approach: global trends, research directions, and regulatory standpoints. SHILAP Revista de lepidopterología. 4. 19–29. 185 indexed citations breakdown →
16.
Marini, Riccardo, Walter Cerroni, & Chiara Buratti. (2020). A Novel Collision-Aware Adaptive Data Rate Algorithm for LoRaWAN Networks. IEEE Internet of Things Journal. 8(4). 2670–2680. 56 indexed citations
17.
18.
Berutti, Elio, Riccardo Marini, & A Angeretti. (1997). Penetration ability of different irrigants into dentinal tubules. Journal of Endodontics. 23(12). 725–727. 224 indexed citations
19.
Berutti, Elio & Riccardo Marini. (1996). A scanning electron microscopic evaluation of the debridement capability of sodium hypochlorite at different temperatures. Journal of Endodontics. 22(9). 467–470. 47 indexed citations
20.
Marini, Riccardo, et al.. (1991). [Focal infection in dentistry: the in vitro specific lymphocyte blast test].. PubMed. 40(11). 689–94.

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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