Stefano Marrone

1.6k total citations
54 papers, 620 citations indexed

About

Stefano Marrone is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefano Marrone has authored 54 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefano Marrone's work include Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Stefano Marrone is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Stefano Marrone collaborates with scholars based in Italy, Sweden and United Kingdom. Stefano Marrone's co-authors include Carlo Sansone, Gabriele Piantadosi, Mario Sansone, Valeria Vittorini, Francesco Flammini, Lorenzo De Donato, Roberto Nardone, Roberta Fusco, Antonio Picariello and Antonio Galli and has published in prestigious journals such as Nature Communications, IEEE Access and Fuel.

In The Last Decade

Stefano Marrone

48 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Marrone Italy 14 219 137 70 61 44 54 620
Rania Kora Egypt 5 328 1.5× 67 0.5× 18 0.3× 73 1.2× 32 0.7× 7 765
R Muthukrishnan India 4 129 0.6× 86 0.6× 44 0.6× 209 3.4× 27 0.6× 12 699
Ivan Štajduhar Croatia 15 255 1.2× 73 0.5× 29 0.4× 95 1.6× 43 1.0× 54 736
Xulei Yang Singapore 14 143 0.7× 145 1.1× 26 0.4× 181 3.0× 30 0.7× 64 575
Alhassan Mumuni Ghana 7 137 0.6× 52 0.4× 37 0.5× 131 2.1× 38 0.9× 11 531
Nameirakpam Dhanachandra India 5 241 1.1× 130 0.9× 48 0.7× 404 6.6× 47 1.1× 5 923
Youngdoo Son South Korea 15 309 1.4× 52 0.4× 28 0.4× 127 2.1× 21 0.5× 47 842
Tao Zhou China 14 365 1.7× 344 2.5× 39 0.6× 274 4.5× 49 1.1× 132 1.1k
Sirshendu Hore India 9 133 0.6× 55 0.4× 20 0.3× 156 2.6× 28 0.6× 18 516
Yambem Jina Chanu India 8 262 1.2× 155 1.1× 48 0.7× 438 7.2× 47 1.1× 21 1.0k

Countries citing papers authored by Stefano Marrone

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Marrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Marrone

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Marrone. A scholar is included among the top collaborators of Stefano Marrone 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 Stefano Marrone. Stefano Marrone 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.
Coppola, Antonio, et al.. (2025). Critical assessment of machine learning prediction of biomass pyrolysis. Fuel. 394. 135000–135000. 5 indexed citations
2.
Marrone, Stefano, Giuseppe Cringoli, Laura Rinaldi, et al.. (2024). Automating parasite egg detection: insights from the first AI-KFM challenge. Frontiers in Artificial Intelligence. 7. 1325219–1325219. 3 indexed citations
3.
Bartoş, Adrian, et al.. (2024). Towards Hepatic Cancer Detection with Bayesian Networks for Patients Digital Twins Modelling. Procedia Computer Science. 246. 5104–5113.
4.
Barkhof, Frederik, Arturo Brunetti, James H. Cole, et al.. (2024). Assessing brain involvement in Fabry disease with deep learning and the brain‐age paradigm. Human Brain Mapping. 45(5). e26599–e26599. 7 indexed citations
5.
Marrone, Stefano, Mario Sansone, Roberta Fusco, et al.. (2024). A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI Datasets. IEEE Journal of Biomedical and Health Informatics. 28(11). 6764–6777.
6.
7.
Galli, Antonio, et al.. (2023). Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection. IET Biometrics. 12(2). 102–111. 4 indexed citations
8.
Aldewereld, Huib, Stefano Marrone, Carlo Sansone, et al.. (2023). The European AI Tango: Balancing Regulation Innovation and Competitiveness. 2–8. 6 indexed citations
9.
Donato, Lorenzo De, et al.. (2023). Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture. Journal of Reliable Intelligent Environments. 9(3). 303–317. 18 indexed citations
10.
Marrone, Stefano, et al.. (2023). Transformers in the Real World: A Survey on NLP Applications. Information. 14(4). 242–242. 83 indexed citations
11.
Marrone, Stefano, et al.. (2023). ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation. Journal of Imaging. 9(3). 61–61. 4 indexed citations
12.
Marrone, Stefano, et al.. (2023). VeerNet: Using Deep Neural Networks for Curve Classification and Digitization of Raster Well-Log Images. Journal of Imaging. 9(7). 136–136. 1 indexed citations
13.
Orrù, Giulia, Antonio Galli, Stefano Marrone, et al.. (2023). Development of Technologies for the Detection of (Cyber)Bullying Actions: The BullyBuster Project. Information. 14(8). 430–430. 5 indexed citations
14.
15.
Sansone, Mario, Stefano Marrone, Maria Paola Belfiore, et al.. (2022). Comparison between two packages for pectoral muscle removal on mammographic images. La radiologia medica. 127(8). 848–856. 15 indexed citations
16.
Gatta, Gianluca, et al.. (2022). A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification. Journal of Imaging. 8(12). 321–321. 12 indexed citations
17.
Pontillo, Giuseppe, Sirio Cocozza, Mario Quarantelli, et al.. (2022). Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach. European Radiology. 32(8). 5382–5391. 23 indexed citations
18.
Marrone, Stefano, Stefano Olivieri, Gabriele Piantadosi, & Carlo Sansone. (2019). Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures. 1–5. 7 indexed citations
19.
Amato, Flora, Stefano Marrone, Vincenzo Moscato, et al.. (2019). HOLMeS: eHealth in the Big Data and Deep Learning Era. Information. 10(2). 34–34. 14 indexed citations
20.
Terlizzi, R., N. Colonna, Pietro Colangelo, et al.. (2009). Design of an accelerator-based neutron source for neutron capture therapy. Applied Radiation and Isotopes. 67(7-8). S292–S295. 8 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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2026