Nadia Brancati

1.4k total citations
23 papers, 363 citations indexed

About

Nadia Brancati is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nadia Brancati has authored 23 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nadia Brancati's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cell Image Analysis Techniques (4 papers). Nadia Brancati is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cell Image Analysis Techniques (4 papers). Nadia Brancati collaborates with scholars based in Italy and Switzerland. Nadia Brancati's co-authors include Maria Frucci, Giuseppe De Pietro, Daniel Riccio, Luigi Gallo, Diego Gragnaniello, Giuseppe Caggianese, Giovanna Sannino, Laura Verde, Maurizio Di Bonito and Florinda Feroce and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Nadia Brancati

22 papers receiving 352 citations

Peers

Nadia Brancati
Melih Kandemir Germany
Ashkan Tashk Iran
Min Beom Lee South Korea
Paolo Andreini Italy
Mansoor Fateh Iran
Omid Nejati Manzari Iran
Alessandro Bruno Italy
Zabit Hameed Spain
Sören Richard Stahlschmidt Sweden
Melih Kandemir Germany
Nadia Brancati
Citations per year, relative to Nadia Brancati Nadia Brancati (= 1×) peers Melih Kandemir

Countries citing papers authored by Nadia Brancati

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Brancati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Brancati

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Brancati. A scholar is included among the top collaborators of Nadia Brancati 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 Nadia Brancati. Nadia Brancati 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.
Russo, M., Giulia Bertolini, Vera Cappelletti, et al.. (2025). Augmentation-based deep learning for identification of circulating tumor cells. Computers in Biology and Medicine. 199. 111333–111333.
2.
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Brancato, Valentina, Nadia Brancati, Massimo La Rosa, et al.. (2023). A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer. Sensors. 23(3). 1552–1552. 3 indexed citations
4.
Riccio, Daniel, Nadia Brancati, Giovanna Sannino, Laura Verde, & Maria Frucci. (2023). CNN-based classification of phonocardiograms using fractal techniques. Biomedical Signal Processing and Control. 86. 105186–105186. 11 indexed citations
5.
Brancati, Nadia, Anna Maria Anniciello, Pushpak Pati, et al.. (2022). BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. Database. 2022. 65 indexed citations
6.
Brancati, Nadia, et al.. (2022). An Investigation on Radiomics Feature Handling for HNSCC Staging Classification. Applied Sciences. 12(15). 7826–7826. 1 indexed citations
7.
Brancati, Nadia, Giuseppe De Pietro, Daniel Riccio, & Maria Frucci. (2021). Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks. IEEE Access. 9. 87552–87562. 20 indexed citations
8.
Pati, Pushpak, Guillaume Jaume, Florinda Feroce, et al.. (2021). Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology.. arXiv (Cornell University). 3 indexed citations
9.
Verde, Laura, Nadia Brancati, Giuseppe De Pietro, Maria Frucci, & Giovanna Sannino. (2021). A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments. ACM Transactions on Internet Technology. 22(1). 1–16. 16 indexed citations
10.
Martino, Francesco De, Silvia Varricchio, Daniela Russo, et al.. (2020). A Machine-learning Approach for the Assessment of the Proliferative Compartment of Solid Tumors on Hematoxylin-Eosin-Stained Sections. Cancers. 12(5). 1344–1344. 24 indexed citations
11.
Mariggiò, Stefania, Antonio Varriale, Daniela Spano, et al.. (2019). A signalling cascade involving receptor-activated phospholipase A2, glycerophosphoinositol 4-phosphate, Shp1 and Src in the activation of cell motility. Cell Communication and Signaling. 17(1). 20–20. 9 indexed citations
12.
Brancati, Nadia, Giuseppe De Pietro, Maria Frucci, & Daniel Riccio. (2019). A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images. IEEE Access. 7. 44709–44720. 58 indexed citations
13.
Riccio, Daniel, Nadia Brancati, Maria Frucci, & Diego Gragnaniello. (2018). A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets. IEEE Journal of Biomedical and Health Informatics. 23(1). 437–448. 29 indexed citations
14.
Brancati, Nadia, et al.. (2018). Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa. Computerized Medical Imaging and Graphics. 66. 73–81. 6 indexed citations
15.
Brancati, Nadia, Maria Frucci, Diego Gragnaniello, et al.. (2018). Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis. Neurocomputing. 308. 159–171. 16 indexed citations
16.
Brancati, Nadia, Giuseppe De Pietro, Maria Frucci, & Luigi Gallo. (2016). Human skin detection through correlation rules between the YCb and YCr subspaces based on dynamic color clustering. Computer Vision and Image Understanding. 155. 33–42. 27 indexed citations
17.
D’Arco, Annalisa, et al.. (2016). Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques. Biomedical Optics Express. 7(5). 1853–1853. 16 indexed citations
18.
Brancati, Nadia, Diego Gragnaniello, & Luisa Verdoliva. (2016). Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications. 19. 199–203. 1 indexed citations
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20.
Brancati, Nadia, et al.. (2015). Robust fingertip detection in egocentric vision under varying illumination conditions. 1–6. 9 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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