Massimo Merenda

1.5k total citations · 2 hit papers
83 papers, 969 citations indexed

About

Massimo Merenda is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, Massimo Merenda has authored 83 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Electrical and Electronic Engineering, 15 papers in Mechanical Engineering and 13 papers in Ocean Engineering. Recurrent topics in Massimo Merenda's work include Energy Harvesting in Wireless Networks (21 papers), Indoor and Outdoor Localization Technologies (20 papers) and RFID technology advancements (13 papers). Massimo Merenda is often cited by papers focused on Energy Harvesting in Wireless Networks (21 papers), Indoor and Outdoor Localization Technologies (20 papers) and RFID technology advancements (13 papers). Massimo Merenda collaborates with scholars based in Italy, Austria and Netherlands. Massimo Merenda's co-authors include Demetrio Iero, Francesco G. Della Corte, Riccardo Carotenuto, Rosario Fedele, Gennaro G. Bellizzi, Giovanni Pangallo, Mariateresa Russo, Filippo Giammaria Praticò, Ivan Farris and Antonio Iera and has published in prestigious journals such as IEEE Access, Sensors and Solar Energy.

In The Last Decade

Massimo Merenda

78 papers receiving 947 citations

Hit Papers

Edge Machine Learning for AI-Enabled IoT Devices: A Review 2020 2026 2022 2024 2020 2025 50 100 150 200 250
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. Edge Machine Learning for AI-Enabled IoT Devices: A Review
    2020 283 citations Massimo Merenda, Demetrio Iero et al. Sensors profile →
  2. AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions
    2025 22 citations Mariateresa Russo, Massimo Merenda et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Merenda Italy 16 533 195 120 110 108 83 969
Tarek Elfouly Qatar 16 519 1.0× 331 1.7× 98 0.8× 118 1.1× 132 1.2× 64 1.1k
Mohammad Omar Khyam Australia 18 599 1.1× 216 1.1× 234 1.9× 125 1.1× 111 1.0× 44 1.2k
Kuo Su Taiwan 15 378 0.7× 112 0.6× 190 1.6× 177 1.6× 106 1.0× 43 970
Felipe Espinosa Spain 16 569 1.1× 163 0.8× 147 1.2× 186 1.7× 62 0.6× 89 1.2k
Bassant Selim Canada 13 431 0.8× 145 0.7× 81 0.7× 139 1.3× 75 0.7× 44 953
Fengqi Yu China 18 649 1.2× 465 2.4× 128 1.1× 78 0.7× 292 2.7× 140 1.1k
Wilmar Hernández Spain 19 255 0.5× 240 1.2× 122 1.0× 136 1.2× 94 0.9× 112 1.0k
Demetrio Iero Italy 11 354 0.7× 137 0.7× 96 0.8× 94 0.9× 56 0.5× 41 640
Taikyeong Jeong South Korea 14 469 0.9× 126 0.6× 53 0.4× 101 0.9× 150 1.4× 68 805

Countries citing papers authored by Massimo Merenda

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Merenda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Merenda

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Merenda. A scholar is included among the top collaborators of Massimo Merenda 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 Merenda. Massimo Merenda 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.
Russo, Mariateresa, et al.. (2025). AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions. Sensors. 25(7). 2147–2147. 22 indexed citations breakdown →
2.
Merenda, Massimo, et al.. (2025). Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach. Applied Sciences. 15(13). 7556–7556.
3.
Carabetta, Sonia, et al.. (2025). Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT. Sensors. 25(3). 784–784. 3 indexed citations
4.
Carotenuto, Riccardo, Demetrio Iero, F. Pezzimenti, Francesco G. Della Corte, & Massimo Merenda. (2024). Considerations on External Heat Transfer in Saturated Bipolar Junction Transistors. IEEE Journal of Emerging and Selected Topics in Power Electronics. 12(4). 3967–3976.
5.
6.
Carotenuto, Riccardo, Demetrio Iero, & Massimo Merenda. (2024). A Method for Correcting Signal Aberrations in Ultrasonic Indoor Positioning. Sensors. 24(6). 2017–2017. 2 indexed citations
7.
D’Addona, Doriana M., et al.. (2024). A Detailed Study on Algorithms for Predictive Maintenance in Smart Manufacturing: Chip Form Classification Using Edge Machine Learning. IEEE Open Journal of the Industrial Electronics Society. 5. 1190–1205. 1 indexed citations
8.
Carabetta, Sonia, et al.. (2023). Ochratoxin A Growth Probability Estimation in Wine Production Using AI-Powered IoT Devices. 152–156. 3 indexed citations
9.
Merenda, Massimo, Giuseppe Cimino, Riccardo Carotenuto, Francesco G. Della Corte, & Demetrio Iero. (2022). Edge Machine Learning Techniques Applied to RFID for Device-Free Hand Gesture Recognition. IEEE Journal of Radio Frequency Identification. 6. 564–572. 7 indexed citations
10.
Merenda, Massimo, et al.. (2021). Tiny Machine Learning Techniques for Driving Behavior Scoring in a Connected Car Environment. 1–6. 2 indexed citations
11.
Merenda, Massimo, Giuseppe Cimino, Riccardo Carotenuto, Francesco G. Della Corte, & Demetrio Iero. (2021). Device-free hand gesture recognition exploiting Machine Learning applied to RFID. 1–5. 8 indexed citations
12.
Carotenuto, Riccardo, Demetrio Iero, F. Pezzimenti, Francesco G. Della Corte, & Massimo Merenda. (2021). Ultrasonic Ranging using Frequency Selective Attenuation. 1–4. 1 indexed citations
13.
Fedele, Rosario & Massimo Merenda. (2020). An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data. Algorithms. 13(10). 254–254. 32 indexed citations
14.
Merenda, Massimo, et al.. (2020). A Novel Fitness Tracker Using Edge Machine Learning. 212–215. 10 indexed citations
15.
Corte, Francesco G. Della, Giovanni Pangallo, Sandro Rao, et al.. (2019). Use of 4H-SiC-based Diodes as Temperature Sensors. 71–74. 7 indexed citations
16.
Merenda, Massimo, Demetrio Iero, & Francesco G. Della Corte. (2019). Reconfigurable UHF RFID tag with sensing capabilities. 333–336. 7 indexed citations
17.
Merenda, Massimo, Demetrio Iero, Giovanni Pangallo, et al.. (2019). Open-Source Hardware Platforms for Smart Converters with Cloud Connectivity. Electronics. 8(3). 367–367. 15 indexed citations
18.
Merenda, Massimo, Sara Pizzi, Riccardo Carotenuto, et al.. (2018). Design principles of a fully-passive RFID-based IoT sensing node. European Wireless Conference. 2 indexed citations
19.
Fedele, Rosario, et al.. (2018). Energy harvesting for IoT road monitoring systems. Instrumentation Mesure Métrologie. 18(4). 605–623. 32 indexed citations
20.
Carotenuto, Riccardo, Massimo Merenda, Demetrio Iero, & Francesco G. Della Corte. (2018). Ranging RFID Tags With Ultrasound. IEEE Sensors Journal. 18(7). 2967–2975. 37 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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