Massimo Ficco

3.4k total citations · 1 hit paper
98 papers, 2.2k citations indexed

About

Massimo Ficco is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Massimo Ficco has authored 98 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Networks and Communications, 39 papers in Information Systems and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Massimo Ficco's work include Network Security and Intrusion Detection (26 papers), Cloud Data Security Solutions (15 papers) and Cloud Computing and Resource Management (15 papers). Massimo Ficco is often cited by papers focused on Network Security and Intrusion Detection (26 papers), Cloud Data Security Solutions (15 papers) and Cloud Computing and Resource Management (15 papers). Massimo Ficco collaborates with scholars based in Italy, Poland and Australia. Massimo Ficco's co-authors include Francesco Palmieri, Christian Esposito, Aniello Castiglione, Brij B. Gupta, Massimiliano Rak, Gianni D’Angelo, Stefano Russo, Michał Choraś, Rafał Kozik and Roberto Pietrantuono and has published in prestigious journals such as Communications of the ACM, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Massimo Ficco

94 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Blockchain-based authentication and authorization for smart city applications

2020 291 citations Christian Esposito, Massimo Ficco et al. profile →

Peers

Massimo Ficco

CNC

IS

AI

SP

EEE

Yang Cao China

Massimo Vecchio Italy

Chhagan Lal Italy

Rui Zhang United States

Wenny Rahayu Australia

Wu Yang China

Fei Xue China

Sudarshan S. Chawathe United States

Deke Guo China

Young‐Sik Jeong South Korea

Yang Cao China

Massimo Ficco

780 ×0.6

CNC

692 ×0.7

IS

814 ×1.2

AI

387 ×0.8

SP

273 ×0.8

EEE

Citations per year, relative to Massimo Ficco Massimo Ficco (= 1×) peers Yang Cao

Countries citing papers authored by Massimo Ficco

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Ficco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Ficco

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

1.

Guerriero, Antonio, et al.. (2025). On-device training and pruning for energy saving and continuous learning in resource-constrained MCUs. Future Generation Computer Systems. 176. 108194–108194.

2.

Ficco, Massimo, et al.. (2025). Context-aware coverage path planning for a swarm of UAVs using mobile ground stations for battery-swapping. Soft Computing. 29(3). 1605–1625. 3 indexed citations

3.

Mastroianni, Michele, et al.. (2024). A User-Centered Privacy Policy Management System for Automatic Consent on Cookie Banners. Computers. 13(2). 43–43. 3 indexed citations

4.

Ficco, Massimo, et al.. (2024). A systematic approach for threat and vulnerability analysis of unmanned aerial vehicles. Internet of Things. 26. 101180–101180. 6 indexed citations

5.

Kozik, Rafał, Massimo Ficco, Aleksandra Pawlicka, et al.. (2023). When explainability turns into a threat - using xAI to fool a fake news detection method. Computers & Security. 137. 103599–103599. 11 indexed citations

6.

D’Angelo, Gianni, Massimo Ficco, & Francesco Palmieri. (2021). Association rule-based malware classification using common subsequences of API calls. Applied Soft Computing. 105. 107234–107234. 39 indexed citations

7.

Ficco, Massimo. (2021). Malware Analysis By Combining Multiple Detectors and Observation Windows. IEEE Transactions on Computers. 1–1. 65 indexed citations

8.

D’Angelo, Gianni, Massimo Ficco, & Francesco Palmieri. (2019). Malware detection in mobile environments based on Autoencoders and API-images. Journal of Parallel and Distributed Computing. 137. 26–33. 92 indexed citations

9.

Ficco, Massimo, Roberto Pietrantuono, & Stefano Russo. (2018). Hybrid Simulation and Test of Vessel Traffic Systems on the Cloud. IEEE Access. 6. 47273–47287. 5 indexed citations

10.

Ficco, Massimo, et al.. (2016). Intrusion detection in federated clouds. International Journal of Computational Science and Engineering. 13(3). 219–219. 1 indexed citations

11.

Rak, Massimiliano, et al.. (2014). Developing Secure Cloud Applications. Scalable Computing Practice and Experience. 15(1). 4 indexed citations

12.

Palmieri, Francesco, Sergio Ricciardi, Ugo Fiore, Massimo Ficco, & Aniello Castiglione. (2014). Energy-oriented denial of service attacks: an emerging menace for large cloud infrastructures. The Journal of Supercomputing. 71(5). 1620–1641. 55 indexed citations

13.

Ficco, Massimo, Francesco Palmieri, & Aniello Castiglione. (2014). Modeling security requirements for cloud‐based system development. Concurrency and Computation Practice and Experience. 27(8). 2107–2124. 21 indexed citations

14.

Esposito, Christian, Massimo Ficco, Francesco Palmieri, & Aniello Castiglione. (2014). A knowledge-based platform for Big Data analytics based on publish/subscribe services and stream processing. Knowledge-Based Systems. 79. 3–17. 70 indexed citations

15.

Ficco, Massimo, et al.. (2013). Intrusion Detection in Cloud Computing. 34. 276–283. 26 indexed citations

16.

Ficco, Massimo, Salvatore Venticinque, & Beniamino Di Martino. (2013). An Advanced Intrusion Detection Framework for Cloud Computing.. Computer Systems: Science & Engineering. 28. 2 indexed citations

17.

Ficco, Massimo, Francesco Palmieri, & Aniello Castiglione. (2013). Hybrid indoor and outdoor location services for new generation mobile terminals. Personal and Ubiquitous Computing. 18(2). 271–285. 33 indexed citations

18.

Ficco, Massimo. (2010). Achieving Security by Intrusion-Tolerance Based on Event Correlation. Network Protocols and Algorithms. 2(3). 7 indexed citations

19.

Ficco, Massimo, et al.. (2007). A bluetooth infrastructure for automatic services access in ubiquitous and nomadic computing environments. 6. 17–24. 4 indexed citations

20.

Ficco, Massimo, et al.. (2005). Indoor and Outdoor Location Based Services for Portable Wireless Devices. 244–250. 34 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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