G. Raso

11.9k total citations
71 papers, 955 citations indexed

About

G. Raso is a scholar working on Artificial Intelligence, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, G. Raso has authored 71 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 24 papers in Biomedical Engineering and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in G. Raso's work include AI in cancer detection (23 papers), Advanced X-ray and CT Imaging (21 papers) and Advanced Semiconductor Detectors and Materials (20 papers). G. Raso is often cited by papers focused on AI in cancer detection (23 papers), Advanced X-ray and CT Imaging (21 papers) and Advanced Semiconductor Detectors and Materials (20 papers). G. Raso collaborates with scholars based in Italy, Cuba and United Kingdom. G. Raso's co-authors include Donato Cascio, F. Fauci, L. Abbene, G. Gerardi, R. Magro, S. Del Sordo, F. Principato, S. Stumbo, A. Zappettini and M. Bettelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and IEEE Access.

In The Last Decade

G. Raso

65 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Raso Italy 19 315 295 275 269 252 71 955
F. Fauci Italy 13 233 0.7× 95 0.3× 118 0.4× 223 0.8× 93 0.4× 27 522
David A. Reimann United States 7 529 1.7× 82 0.3× 497 1.8× 63 0.2× 178 0.7× 25 984
Bernd Gutmann Germany 13 138 0.4× 48 0.2× 270 1.0× 143 0.5× 85 0.3× 29 716
Aaron Fenster Canada 16 370 1.2× 41 0.1× 352 1.3× 135 0.5× 116 0.5× 58 861
Sen Bai China 22 619 2.0× 65 0.2× 246 0.9× 154 0.6× 778 3.1× 142 1.7k
P. Delogu Italy 21 667 2.1× 187 0.6× 597 2.2× 182 0.7× 521 2.1× 95 1.3k
Cheng‐Bin Jin China 12 232 0.7× 124 0.4× 304 1.1× 111 0.4× 50 0.2× 32 802
Kevin de Haan United States 17 172 0.5× 72 0.2× 422 1.5× 465 1.7× 132 0.5× 37 1.6k
Chenyang Shen United States 21 782 2.5× 102 0.3× 398 1.4× 235 0.9× 514 2.0× 82 1.3k

Countries citing papers authored by G. Raso

Since Specialization
Citations

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

Fields of papers citing papers by G. Raso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Raso

This figure shows the co-authorship network connecting the top 25 collaborators of G. Raso. A scholar is included among the top collaborators of G. Raso 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 G. Raso. G. Raso 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.
Conte, Luana, Giorgio De Nunzio, G. Raso, & Donato Cascio. (2025). Multi-Class Segmentation and Classification of Intestinal Organoids: YOLO Stand-Alone vs. Hybrid Machine Learning Pipelines. Applied Sciences. 15(21). 11311–11311.
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Raso, G., Vito Gentile, L. Abbene, et al.. (2023). Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy. Sensors. 23(18). 7674–7674. 6 indexed citations
5.
Principato, F., G. Gerardi, Donato Cascio, et al.. (2023). Window-Based Energy Selecting X-ray Imaging and Charge Sharing in Cadmium Zinc Telluride Linear Array Detectors for Contaminant Detection. Sensors. 23(6). 3196–3196. 2 indexed citations
6.
Tabacchi, Marco Elio, Domenico Tegolo, Donato Cascio, et al.. (2022). A Fuzzy-Based Clinical Decision Support System for Coeliac Disease. IEEE Access. 10. 102223–102236. 6 indexed citations
7.
Cascio, Donato, et al.. (2020). HEp-2 Intensity Classification based on Deep Fine-tuning. 143–149. 2 indexed citations
8.
Cascio, Donato, et al.. (2019). A Wavelet approach to extract main features from indirect immunofluorescence images. Nova Science Publishers (Nova Science Publishers, Inc.). 180–187. 1 indexed citations
9.
Cascio, Donato, et al.. (2019). Deep CNN for IIF Images Classification in Autoimmune Diagnostics. Applied Sciences. 9(8). 1618–1618. 18 indexed citations
10.
Abbene, L., G. Gerardi, G. Raso, et al.. (2017). Development of new CdZnTe detectors for room-temperature high-flux radiation measurements. Journal of Synchrotron Radiation. 24(2). 429–438. 25 indexed citations
11.
Abbene, L., G. Gerardi, G. Benassi, et al.. (2015). Charge carrier transport mechanisms in CdZnTe detectors grown by the vertical Bridgman technique. Nova Science Publishers (Nova Science Publishers, Inc.). 119b. 1–6. 3 indexed citations
12.
Cascio, Donato, et al.. (2014). Mammographic images segmentation based on chaotic map clustering algorithm. BMC Medical Imaging. 14(1). 12–12. 15 indexed citations
13.
Cascio, Donato, et al.. (2014). Fuzzy technique for microcalcifications clustering in digital mammograms. BMC Medical Imaging. 14(1). 23–23. 27 indexed citations
14.
Ciatto, Stefano, Donato Cascio, F. Fauci, et al.. (2009). Computer-assisted diagnosis (CAD) in mammography: comparison of diagnostic accuracy of a new algorithm (Cyclopus®, Medicad) with two commercial systems. La radiologia medica. 114(4). 626–635. 16 indexed citations
15.
Abbene, L., F. Fauci, G. Gerardi, et al.. (2006). Portable CdTe detection system for mammographic X-ray spectroscopy. Nova Science Publishers (Nova Science Publishers, Inc.). 29(3). 361–367. 2 indexed citations
16.
Bottigli, U., Bruno Golosio, Giovanni Luca Masala, et al.. (2006). Comparison of two portable solid state detectors with an improved collimation and alignment device for mammographic x-ray spectroscopy. Medical Physics. 33(9). 3469–3477. 26 indexed citations
17.
Bottigli, U., Bruno Golosio, Giovanni Luca Masala, et al.. (2005). DISSIMILARITY APPLICATION FOR MEDICAL IMAGING CLASSIFICATION. Nova Science Publishers (Nova Science Publishers, Inc.). 2 indexed citations
18.
Fauci, F., G. Raso, R. Magro, et al.. (2005). A massive lesion detection algorithm in mammography. Physica Medica. 21(1). 23–30. 12 indexed citations
19.
Sordo, S. Del, G. Agnetta, B. Biondo, et al.. (2004). Spectroscopic performances of 16 × 16 pixel CZT imaging hard-X-ray detectors. 119(3). 257–270. 15 indexed citations
20.
Aiello, S., U. Bottigli, F. Fauci, et al.. (2003). FLUXEN portable equipment for direct X-ray spectra measurements. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 518(1-2). 389–390. 2 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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