Massimo Villari

6.6k total citations · 1 hit paper
283 papers, 4.3k citations indexed

About

Massimo Villari is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Massimo Villari has authored 283 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Computer Networks and Communications, 129 papers in Information Systems and 47 papers in Artificial Intelligence. Recurrent topics in Massimo Villari's work include IoT and Edge/Fog Computing (110 papers), Cloud Computing and Resource Management (90 papers) and Cloud Data Security Solutions (36 papers). Massimo Villari is often cited by papers focused on IoT and Edge/Fog Computing (110 papers), Cloud Computing and Resource Management (90 papers) and Cloud Data Security Solutions (36 papers). Massimo Villari collaborates with scholars based in Italy, United Kingdom and Australia. Massimo Villari's co-authors include Antonio Celesti, Maria Fazio, Antonio Puliafito, Rajiv Ranjan, Antonino Galletta, Francesco Tusa, Schahram Dustdar, Lorenzo Carnevale, Omer Rana and Davide Mulfari and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Trends in biotechnology.

In The Last Decade

Massimo Villari

254 papers receiving 4.0k citations

Hit Papers

Osmotic Computing: A New Paradigm for Edge/Cloud Integration 2016 2026 2019 2022 2016 50 100 150 200
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. Osmotic Computing: A New Paradigm for Edge/Cloud Integration
    2016 240 citations Massimo Villari, Maria Fazio et al. 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 Villari Italy 32 2.7k 2.2k 656 538 529 283 4.3k
Sukhpal Singh Gill United Kingdom 35 2.5k 1.0× 2.0k 0.9× 920 1.4× 494 0.9× 525 1.0× 132 4.4k
Huawei Huang China 32 2.4k 0.9× 1.8k 0.8× 1.1k 1.6× 437 0.8× 901 1.7× 122 4.6k
Jianwei Yin China 35 2.2k 0.8× 2.1k 1.0× 1.3k 1.9× 682 1.3× 576 1.1× 309 4.7k
Luca Foschini Italy 33 2.6k 1.0× 1.3k 0.6× 722 1.1× 682 1.3× 1.1k 2.0× 281 4.9k
Antonio Celesti Italy 26 1.7k 0.6× 1.5k 0.7× 511 0.8× 352 0.7× 321 0.6× 184 3.0k
Antonio Puliafito Italy 38 4.0k 1.5× 2.6k 1.2× 790 1.2× 658 1.2× 807 1.5× 359 6.1k
Antonio J. Jara Spain 34 2.6k 1.0× 1.0k 0.5× 632 1.0× 760 1.4× 1.0k 2.0× 149 4.3k
Chun‐Wei Tsai Taiwan 27 1.7k 0.6× 1.2k 0.5× 1.1k 1.7× 429 0.8× 584 1.1× 152 3.8k
Christian Esposito Italy 29 1.6k 0.6× 1.6k 0.8× 897 1.4× 388 0.7× 465 0.9× 149 3.3k
Siobhán Clarke Ireland 28 1.8k 0.7× 1.8k 0.8× 1.5k 2.3× 581 1.1× 678 1.3× 187 4.1k

Countries citing papers authored by Massimo Villari

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Villari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Villari

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Villari. A scholar is included among the top collaborators of Massimo Villari 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 Villari. Massimo Villari 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.
Villari, Massimo, et al.. (2025). Your Eyes Under Pressure: Real-Time Estimation of Cognitive Load with Smooth Pursuit Tracking. Big Data and Cognitive Computing. 9(11). 288–288.
2.
Celesti, Antonio, et al.. (2025). Consensus-based distributed orchestration framework for microservices in edge computing clusters. Future Generation Computer Systems. 176. 108221–108221.
3.
Crupi, Vincenzo, et al.. (2024). Green Boat Monitoring for Sea Digitalization. 1242–1247.
4.
5.
Mulfari, Davide, Lorenzo Carnevale, & Massimo Villari. (2023). Toward a lightweight ASR solution for atypical speech on the edge. Future Generation Computer Systems. 149. 455–463. 4 indexed citations
6.
Fazio, Maria, et al.. (2023). Establishment of a trusted environment for IoT service provisioning based on X3DH-Based brokering and Federated Blockchain. Internet of Things. 21. 100686–100686. 8 indexed citations
7.
Carnevale, Lorenzo, et al.. (2023). Make Federated Learning a Standard in Robotics by Using ROS2. 1–6. 1 indexed citations
8.
Carnevale, Lorenzo, Salvatore Arena, Angela Simona Montalto, et al.. (2023). Towards a precision medicine Solution for optimal pediatric Laparoscopy: An exploratory data analysis for features Selections. Biomedical Signal Processing and Control. 88. 105321–105321. 2 indexed citations
9.
Galletta, Antonino, Javid Taheri, Antonio Celesti, Maria Fazio, & Massimo Villari. (2023). Investigating the Applicability of Nested Secret Share for Drone Fleet Photo Storage. IEEE Transactions on Mobile Computing. 23(4). 2671–2683. 9 indexed citations
10.
Taheri, Javid, Massimo Villari, & Antonino Galletta. (2023). Mobile Computing, Applications, and Services. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2 indexed citations
11.
Carnevale, Lorenzo, et al.. (2023). EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 2 indexed citations
12.
Carnevale, Lorenzo, et al.. (2023). When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework. Zenodo (CERN European Organization for Nuclear Research).
13.
Fazio, Maria, et al.. (2023). Large-Scale Agent-Based Transport Model for the Metropolitan City of Messina. 2022. 1–6. 1 indexed citations
14.
Mulfari, Davide, et al.. (2022). Deep learning applications in telerehabilitation speech therapy scenarios. Computers in Biology and Medicine. 148. 105864–105864. 22 indexed citations
15.
Garg, Saurabh, Albert Y. Zomaya, Lizhe Wang, et al.. (2020). SLA Management for Big Data Analytical Applications in Clouds. ACM Computing Surveys. 53(3). 1–40. 18 indexed citations
16.
Carnevale, Lorenzo, Rocco Salvatore Calabrò, Antonio Celesti, et al.. (2018). Toward Improving Robotic-Assisted Gait Training: Can Big Data Analysis Help Us?. IEEE Internet of Things Journal. 6(2). 1419–1426. 12 indexed citations
17.
Celesti, Antonio, Antonino Galletta, Lorenzo Carnevale, et al.. (2017). An IoT Cloud System for Traffic Monitoring and Vehicular Accidents Prevention Based on Mobile Sensor Data Processing. IEEE Sensors Journal. 18(12). 4795–4802. 115 indexed citations
18.
Lay-Ekuakille, A., et al.. (2017). A Distributed Edge Computing Architecture to Support Sensing and Detecting Leaks in Waterworks Based on Advanced FDM. IEEE Sensors Journal. 17(23). 7820–7827. 7 indexed citations
19.
Celesti, Antonio, et al.. (2017). Are Next-Generation Sequencing Tools Ready for the Cloud?. Trends in biotechnology. 35(6). 486–489. 15 indexed citations
20.
Celesti, Antonio, Francesco Tusa, Massimo Villari, & Antonio Puliafito. (2011). Evaluating a Distributed Identity Provider Trusted Network with Delegated Authentications for Cloud Federation. 79–85. 6 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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