Claudio Marrocco

1.2k total citations
46 papers, 656 citations indexed

About

Claudio Marrocco is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Claudio Marrocco has authored 46 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Claudio Marrocco's work include AI in cancer detection (18 papers), Imbalanced Data Classification Techniques (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Claudio Marrocco is often cited by papers focused on AI in cancer detection (18 papers), Imbalanced Data Classification Techniques (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Claudio Marrocco collaborates with scholars based in Italy, Netherlands and Kazakhstan. Claudio Marrocco's co-authors include Francesco Tortorella, Alessandro Bria, Mario Molinara, Francesco Fontanella, Claudio De Stefano, Alessandra Scotto di Freca, Robert P. W. Duin, C. D'Elia, G. Cerro and Nicole Dalia Cilia and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Claudio Marrocco

44 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Marrocco Italy 14 380 257 183 66 41 46 656
Belal Al‐Khateeb Iraq 15 396 1.0× 119 0.5× 175 1.0× 30 0.5× 22 0.5× 66 743
Soufiane Hamida Morocco 21 450 1.2× 171 0.7× 236 1.3× 43 0.7× 39 1.0× 66 886
Osman Nuri Uçan Türkiye 13 205 0.5× 132 0.5× 122 0.7× 24 0.4× 26 0.6× 67 590
Mohamed Roushdy Egypt 15 386 1.0× 332 1.3× 231 1.3× 61 0.9× 89 2.2× 76 910
Angshuman Paul India 11 241 0.6× 143 0.6× 141 0.8× 33 0.5× 33 0.8× 39 648
Manas Ranjan Senapati India 15 258 0.7× 141 0.5× 111 0.6× 20 0.3× 43 1.0× 48 543
Shyr-Shen Yu Taiwan 13 326 0.9× 280 1.1× 140 0.8× 40 0.6× 98 2.4× 79 715
Oussama El Gannour Morocco 16 282 0.7× 154 0.6× 163 0.9× 28 0.4× 16 0.4× 37 616
Alfonso Rojas‐Domínguez Mexico 12 368 1.0× 244 0.9× 133 0.7× 36 0.5× 82 2.0× 32 653

Countries citing papers authored by Claudio Marrocco

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Marrocco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Marrocco

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Marrocco. A scholar is included among the top collaborators of Claudio Marrocco 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 Claudio Marrocco. Claudio Marrocco 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.
Marrocco, Claudio, et al.. (2025). Deep learning for DBT classification with saliency-guided 2D synthesis. Pattern Recognition. 172. 112316–112316.
2.
Bria, Alessandro, et al.. (2024). Transfer learning in breast mass detection and classification. Journal of Ambient Intelligence and Humanized Computing. 15(10). 3587–3602. 2 indexed citations
3.
Bria, Alessandro, et al.. (2024). GravityNet for end-to-end small lesion detection. Artificial Intelligence in Medicine. 150. 102842–102842. 1 indexed citations
4.
Marrocco, Claudio, et al.. (2024). Machine Learning in Network Intrusion Detection: A Cross-Dataset Generalization Study. IEEE Access. 12. 144489–144508. 5 indexed citations
5.
Marrocco, Claudio, et al.. (2023). Transformer-based mass detection in digital mammograms. Journal of Ambient Intelligence and Humanized Computing. 14(3). 2723–2737. 16 indexed citations
6.
Marrocco, Claudio, et al.. (2023). Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. Sensors. 23(3). 1229–1229. 19 indexed citations
7.
Marrocco, Claudio, et al.. (2023). Learnable DoG convolutional filters for microcalcification detection. Artificial Intelligence in Medicine. 143. 102629–102629. 1 indexed citations
8.
Cerro, G., Alessandro Bria, Claudio Marrocco, et al.. (2023). An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform. Journal of King Saud University - Computer and Information Sciences. 35(1). 499–513. 9 indexed citations
9.
Bria, Alessandro, Luigi Ferrigno, Claudio Marrocco, et al.. (2021). A False Positive Reduction System For Continuous Water Quality Monitoring. CINECA IRIS Institutial research information system (University of Pisa). 311–316. 3 indexed citations
10.
Bria, Alessandro, Claudio Marrocco, & Francesco Tortorella. (2020). Addressing class imbalance in deep learning for small lesion detection on medical images. Computers in Biology and Medicine. 120. 103735–103735. 95 indexed citations
11.
Bria, Alessandro, Luigi Ferrigno, Claudio Marrocco, et al.. (2020). A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. CINECA IRIS Institutial research information system (University of Pisa). 410–415. 14 indexed citations
12.
Cilia, Nicole Dalia, Claudio De Stefano, Francesco Fontanella, et al.. (2020). An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. Journal of Imaging. 6(9). 89–89. 9 indexed citations
13.
Bria, Alessandro, et al.. (2019). A multi-context CNN ensemble for small lesion detection. Artificial Intelligence in Medicine. 103. 101749–101749. 53 indexed citations
14.
Marrocco, Claudio, Alessandro Bria, Lucas R. Borges, et al.. (2018). Mammogram denoising to improve the calcification detection performance of convolutional nets. 9699. 37–37. 2 indexed citations
15.
16.
Bria, Alessandro, Claudio Marrocco, Mario Molinara, & Francesco Tortorella. (2016). An effective learning strategy for cascaded object detection. Information Sciences. 340-341. 17–26. 16 indexed citations
17.
Marrocco, Claudio & Francesco Tortorella. (2014). Bit Error Recovery in ECOC Systems through LDPC Codes. 32. 1454–1459. 1 indexed citations
18.
Marrocco, Claudio, et al.. (2012). Detection of cluster of microcalcifications based on watershed segmentation algorithm. 1–5. 6 indexed citations
19.
Marrocco, Claudio, Mario Molinara, C. D'Elia, & Francesco Tortorella. (2010). A computer-aided detection system for clustered microcalcifications. Artificial Intelligence in Medicine. 50(1). 23–32. 25 indexed citations
20.
Marrocco, Claudio, Mario Molinara, & Francesco Tortorella. (2010). On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 41(3). 610–620. 7 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