Maria Frucci

1.8k total citations
40 papers, 574 citations indexed

About

Maria Frucci is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Maria Frucci has authored 40 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Maria Frucci's work include Medical Image Segmentation Techniques (10 papers), AI in cancer detection (7 papers) and Retinal Imaging and Analysis (7 papers). Maria Frucci is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), AI in cancer detection (7 papers) and Retinal Imaging and Analysis (7 papers). Maria Frucci collaborates with scholars based in Italy, United States and Switzerland. Maria Frucci's co-authors include Daniel Riccio, Nadia Brancati, Gabriella Sanniti di Baja, Giuseppe De Pietro, Luigi Gallo, Diego Gragnaniello, Michele Nappi, Giuseppe Caggianese, Chiara Galdi and Andrea F. Abate and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Maria Frucci

39 papers receiving 542 citations

Peers

Maria Frucci
Hairong Lv China
Mahdi S. Hosseini Canada
Melih Kandemir Germany
Marc‐André Carbonneau Canada
Wenjin Lu China
Nadia Brancati Italy
Wan Mimi Diyana Wan Zaki Malaysia
Hiroharu Kawanaka Japan
Nikita Orlov United States
Jesús Salido Spain
Hairong Lv China
Maria Frucci
Citations per year, relative to Maria Frucci Maria Frucci (= 1×) peers Hairong Lv

Countries citing papers authored by Maria Frucci

Since Specialization
Citations

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

Fields of papers citing papers by Maria Frucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Frucci

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Frucci. A scholar is included among the top collaborators of Maria Frucci 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 Maria Frucci. Maria Frucci 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
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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
3.
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
4.
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
5.
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
6.
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
7.
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
8.
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
9.
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
10.
Melillo, Paolo, Daniel Riccio, Gabriella Sanniti di Baja, et al.. (2017). Wearable Improved Vision System for Color Vision Deficiency Correction. IEEE Journal of Translational Engineering in Health and Medicine. 5. 1–7. 27 indexed citations
11.
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
12.
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
13.
Frucci, Maria, Michele Nappi, Daniel Riccio, & Gabriella Sanniti di Baja. (2015). WIRE: Watershed based iris recognition. Pattern Recognition. 52. 148–159. 30 indexed citations
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Brancati, Nadia, et al.. (2015). Robust fingertip detection in egocentric vision under varying illumination conditions. 1–6. 9 indexed citations
16.
Polverino, Arianna, Angela Longo, Aldo Donizetti, et al.. (2014). Molecular responses of cells to 2-mercapto-1-methylimidazole gold nanoparticles (AuNPs)-mmi: investigations of histone methylation changes. Journal of Nanoparticle Research. 16(7). 3 indexed citations
17.
Frucci, Maria & Gabriella Sanniti di Baja. (2008). From Segmentation to Binarization of Gray-Level Images. 3(1). 1–13. 21 indexed citations
18.
Frucci, Maria, Carlo Arcelli, & Gabriella Sanniti di Baja. (2006). ON THE HIERARCHICAL ASSIGNMENT TO THE FOREGROUND OF GRAY-LEVEL IMAGE SUBSETS. International Journal of Pattern Recognition and Artificial Intelligence. 20(6). 897–912. 4 indexed citations
19.
Frucci, Maria. (2004). A Novel Merging Method in Watershed Segmentation.. 532–537. 1 indexed citations
20.
Maio, Vito Di, Maria Frucci, & Petr Lánský. (1994). A computer program to study the area perception of squares and rectangles. Computer Methods and Programs in Biomedicine. 42(4). 263–270. 1 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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