Francesco Mercaldo

6.9k total citations · 1 hit paper
260 papers, 4.4k citations indexed

About

Francesco Mercaldo is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Francesco Mercaldo has authored 260 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Signal Processing, 107 papers in Computer Networks and Communications and 91 papers in Artificial Intelligence. Recurrent topics in Francesco Mercaldo's work include Advanced Malware Detection Techniques (122 papers), Network Security and Intrusion Detection (104 papers) and Software Testing and Debugging Techniques (47 papers). Francesco Mercaldo is often cited by papers focused on Advanced Malware Detection Techniques (122 papers), Network Security and Intrusion Detection (104 papers) and Software Testing and Debugging Techniques (47 papers). Francesco Mercaldo collaborates with scholars based in Italy, China and India. Francesco Mercaldo's co-authors include Antonella Santone, Fabio Martinelli, Corrado Aaron Visaggio, Luca Brunese, Alfonso Reginelli, Gerardo Canfora, Vittoria Nardone, Arun Kumar Sangaiah, Eric Medvet and Xi Xiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Francesco Mercaldo

239 papers receiving 4.3k citations

Hit Papers

Explainable Deep Learning for Pulmonary Disease and Coron... 2020 2026 2022 2024 2020 100 200 300 400
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. Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
    2020 429 citations Luca Brunese, Francesco Mercaldo 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
Francesco Mercaldo Italy 36 2.2k 2.0k 1.5k 1.2k 927 260 4.4k
Antonella Santone Italy 30 942 0.4× 856 0.4× 1.2k 0.8× 584 0.5× 986 1.1× 261 3.3k
Fabio Martinelli Italy 30 1.9k 0.9× 2.1k 1.1× 1.5k 1.0× 1.6k 1.3× 115 0.1× 337 4.1k
Vinayakumar Ravi Saudi Arabia 31 723 0.3× 1.1k 0.6× 1.1k 0.7× 496 0.4× 451 0.5× 194 2.8k
Xingjuan Cai China 32 562 0.3× 1.4k 0.7× 2.0k 1.4× 1.3k 1.1× 85 0.1× 130 4.8k
A. Kannan India 36 661 0.3× 2.9k 1.5× 2.1k 1.4× 978 0.8× 287 0.3× 300 5.3k
Jin Song Dong Singapore 24 272 0.1× 621 0.3× 1.1k 0.8× 888 0.7× 156 0.2× 216 2.9k
Miodrag Živković Serbia 34 246 0.1× 647 0.3× 1.5k 1.0× 535 0.4× 167 0.2× 182 3.3k
Junfeng Wang China 25 802 0.4× 1.1k 0.6× 569 0.4× 647 0.5× 35 0.0× 164 2.0k
Jafar A. Alzubi Jordan 28 255 0.1× 874 0.4× 1.0k 0.7× 574 0.5× 150 0.2× 83 2.8k
Weizhi Meng Denmark 35 1.4k 0.6× 2.5k 1.3× 1.5k 1.0× 1.8k 1.6× 67 0.1× 250 4.2k

Countries citing papers authored by Francesco Mercaldo

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Mercaldo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Mercaldo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Mercaldo. A scholar is included among the top collaborators of Francesco Mercaldo 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 Francesco Mercaldo. Francesco Mercaldo 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.. (2025). Explainable Security Requirements Classification Through Transformer Models. Future Internet. 17(1). 15–15. 6 indexed citations
2.
Martinelli, Fabio, et al.. (2025). A method for smart grid intrusion detection through explainable deep learning. Journal of Computer Virology and Hacking Techniques. 21(1). 3 indexed citations
3.
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
4.
Huang, Pan, Peng He, Yi‐Fang Ping, et al.. (2024). MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading. Information Fusion. 108. 102333–102333. 19 indexed citations
5.
Mercaldo, Francesco, et al.. (2024). Real-Time Road Sign Localisation through Object Detection. Procedia Computer Science. 246. 30–37.
6.
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
7.
Martinelli, Fabio, et al.. (2024). On the Adoption of Explainable Deep Learning for Image-Based Network Traffic Classification. 370–377. 1 indexed citations
8.
9.
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
10.
Mercaldo, Francesco, Fabio Martinelli, & Antonella Santone. (2023). An Explainable Convolutional Neural Network for Dynamic Android Malware Detection. 305–312. 3 indexed citations
11.
Cuzzocrea, Alfredo, Fabio Martinelli, & Francesco Mercaldo. (2023). A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments. International Journal of Data Mining Modelling and Management. 15(1). 1–1.
12.
Mercaldo, Francesco, Mario Cesarelli, Fabio Martinelli, & Antonella Santone. (2023). Deep learning for blood cells classification and localisation. 7–7. 1 indexed citations
13.
Mercaldo, Francesco, Luca Brunese, Mario Cesarelli, Fabio Martinelli, & Antonella Santone. (2023). Respiratory Disease Detection through Spectogram Analysis with Explainable Deep Learning. 1–6. 1 indexed citations
14.
Mercaldo, Francesco, Maria Paola Belfiore, Alfonso Reginelli, Luca Brunese, & Antonella Santone. (2023). Coronavirus covid-19 detection by means of explainable deep learning. Scientific Reports. 13(1). 462–462. 31 indexed citations
15.
Martinelli, Fabio, et al.. (2022). Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal. 2022 IEEE International Conference on Big Data (Big Data). 6628–6630. 2 indexed citations
16.
Martinelli, Fabio, et al.. (2022). Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 4 indexed citations
17.
Zhou, Xiaoli, et al.. (2021). LPCANet: Classification of Laryngeal Cancer Histopathological Images Using a CNN with Position Attention and Channel Attention Mechanisms. Interdisciplinary Sciences Computational Life Sciences. 13(4). 666–682. 39 indexed citations
18.
Mercaldo, Francesco, Fabio Martinelli, & Antonella Santone. (2019). Real-Time SCADA Attack Detection by Means of Formal Methods. 231–236. 20 indexed citations
19.
Maiorca, Davide, et al.. (2018). R-PackDroid: Practical On-Device Detection of Android Ransomware.. arXiv (Cornell University). 2 indexed citations
20.
Canfora, Gerardo, Andrea Di Sorbo, Francesco Mercaldo, & Corrado Aaron Visaggio. (2015). Obfuscation Techniques against Signature-Based Detection: A Case Study. 21–26. 36 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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