Fabio Martinelli

8.2k total citations · 2 hit papers
337 papers, 4.1k citations indexed

About

Fabio Martinelli is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Fabio Martinelli has authored 337 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Artificial Intelligence, 145 papers in Computer Networks and Communications and 122 papers in Signal Processing. Recurrent topics in Fabio Martinelli's work include Advanced Malware Detection Techniques (113 papers), Network Security and Intrusion Detection (88 papers) and Access Control and Trust (65 papers). Fabio Martinelli is often cited by papers focused on Advanced Malware Detection Techniques (113 papers), Network Security and Intrusion Detection (88 papers) and Access Control and Trust (65 papers). Fabio Martinelli collaborates with scholars based in Italy, United States and United Kingdom. Fabio Martinelli's co-authors include Francesco Mercaldo, Antonella Santone, Daniele Sgandurra, Andrea Saracino, Paolo Mori, Gianluca Dini, Vittoria Nardone, Albina Orlando, Artsiom Yautsiukhin and Aliaksandr Lazouski and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Fabio Martinelli

314 papers receiving 3.9k citations

Hit Papers

A Survey on Security for Mobile Devices 2012 2026 2016 2021 2012 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Martinelli Italy 30 2.1k 1.9k 1.6k 1.5k 573 337 4.1k
Mourad Debbabi Canada 37 2.7k 1.3× 1.8k 1.0× 2.0k 1.2× 2.1k 1.3× 505 0.9× 304 5.2k
Atul Prakash United States 33 1.6k 0.8× 1.3k 0.7× 1.5k 0.9× 2.2k 1.5× 335 0.6× 150 4.4k
Yuval Elovici Israel 48 4.2k 2.0× 4.3k 2.2× 3.1k 1.9× 3.2k 2.1× 572 1.0× 307 8.0k
Jiqiang Liu China 29 1.2k 0.6× 947 0.5× 1.4k 0.9× 1.2k 0.8× 338 0.6× 174 3.0k
Aziz Mohaisen United States 34 2.2k 1.0× 1.5k 0.8× 1.8k 1.1× 1.6k 1.0× 177 0.3× 230 3.9k
Wouter Joosen Belgium 36 2.9k 1.4× 1.9k 1.0× 4.0k 2.5× 2.9k 1.9× 532 0.9× 588 6.6k
Alexander Pretschner Germany 29 810 0.4× 607 0.3× 1.5k 0.9× 1.2k 0.8× 1.6k 2.9× 178 3.4k
Suman Nath United States 40 3.5k 1.7× 1.1k 0.6× 1.6k 1.0× 1.2k 0.8× 406 0.7× 151 5.4k
Shouling Ji China 38 1.4k 0.7× 814 0.4× 1.1k 0.7× 2.1k 1.4× 229 0.4× 252 4.4k

Countries citing papers authored by Fabio Martinelli

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Martinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Martinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Martinelli. A scholar is included among the top collaborators of Fabio Martinelli 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 Fabio Martinelli. Fabio Martinelli 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.
Martinelli, Fabio, et al.. (2024). A Method for AI-generated sentence detection through Large Language Models. Procedia Computer Science. 246. 4853–4862. 2 indexed citations
2.
Martinelli, Fabio, et al.. (2024). Toward the Adoption of Explainable Pre-Trained Large Language Models for Classifying Human-Written and AI-Generated Sentences. Electronics. 13(20). 4057–4057. 7 indexed citations
3.
Cesarelli, Mario, et al.. (2024). Explainable Deep Learning for Breast Cancer Classification and Localization. 6(1). 1–18. 1 indexed citations
4.
Martinelli, Fabio, et al.. (2024). On the Adoption of Explainable Deep Learning for Image-Based Network Traffic Classification. 370–377. 1 indexed citations
5.
Mercaldo, Francesco, Luca Brunese, Antonella Santone, Fabio Martinelli, & Mario Cesarelli. (2024). Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 1 indexed citations
6.
Dimitrakos, Theo, et al.. (2023). Collaborative Approaches for Cyber Security in Cyber-Physical Systems. 5 indexed citations
7.
Mercaldo, Francesco, et al.. (2023). Alzheimer’s Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks. International Journal of Neural Systems. 34(2). 2450007–2450007. 5 indexed citations
8.
Costantino, Gianpiero, et al.. (2022). A Privacy-Preserving Solution for Intelligent Transportation Systems: Private Driver DNA. IEEE Transactions on Intelligent Transportation Systems. 24(1). 258–273. 11 indexed citations
9.
Rinaldi, Stefano, Paolo Ferrari, Alessandra Flammini, et al.. (2020). A Cognitive Strategy for Renovation and Maintenance of Buildings through IoT Technology. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. 1949–1954. 6 indexed citations
10.
Costantino, Gianpiero, et al.. (2019). LoSeRO: A Locality Sensitive Routing Protocol in Opportunistic Networks with Contact Profiles. IEEE Transactions on Mobile Computing. 19(10). 2392–2408. 5 indexed citations
11.
Carfora, Maria Francesca, Fabio Martinelli, & Francesco Mercaldo. (2019). Cyber Risk Management: An Actuarial Point of View. The Journal of Operational Risk. 7 indexed citations
12.
Maiorca, Davide, et al.. (2018). R-PackDroid: Practical On-Device Detection of Android Ransomware.. arXiv (Cornell University). 2 indexed citations
13.
Martinelli, Fabio, et al.. (2018). Phylogenetic Analysis for Ransomware Detection and Classification into Families.. 732–737. 2 indexed citations
14.
Cimitile, A., Fabio Martinelli, Francesco Mercaldo, et al.. (2017). Model checking for mobile Android malware evolution. Formal Methods. 24–30. 7 indexed citations
15.
Fernández-Gago, Carmen, Fabio Martinelli, Siani Pearson, & Isaac Agudo. (2013). Trust Management VII: 7th IFIP WG 11.11 International Conference, IFIPTM 2013, Malaga, Spain, June 3-7, 2013, Proceedings. Springer eBooks. 2 indexed citations
16.
Bertolino, Antonia, Said Daoudagh, Francesca Lonetti, et al.. (2012). Testing of PolPA authorization systems. 8–14. 7 indexed citations
17.
Martinelli, Fabio, et al.. (2010). Formal approach to security metrics. What does “more secure” mean for you?∗. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
18.
Martinelli, Fabio & Bart Preneel. (2010). Public key infrastructures, services and applications : 6th European workshop, EuroPKI 2009 : Pisa, Italy, September 10 - 11, 2009 : revised selected papers. Springer eBooks. 1 indexed citations
19.
Samarati, Pierangela, Moti Yung, Fabio Martinelli, & Claudio A. Ardagna. (2009). Proceedings of the 12th International Conference on Information Security. 12 indexed citations
20.
Lenzini, Gabriele, Fabio Martinelli, Ilaria Matteucci, & Stefania Gnesi. (2008). A Uniform Approach to Security and Fault-Tolerance Specification and Analysis.. 172–201.

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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