Giulia Matrone

1.9k total citations · 1 hit paper
89 papers, 1.4k citations indexed

About

Giulia Matrone is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Giulia Matrone has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Biomedical Engineering, 59 papers in Radiology, Nuclear Medicine and Imaging and 40 papers in Mechanics of Materials. Recurrent topics in Giulia Matrone's work include Ultrasound Imaging and Elastography (57 papers), Ultrasonics and Acoustic Wave Propagation (40 papers) and Microwave Imaging and Scattering Analysis (30 papers). Giulia Matrone is often cited by papers focused on Ultrasound Imaging and Elastography (57 papers), Ultrasonics and Acoustic Wave Propagation (40 papers) and Microwave Imaging and Scattering Analysis (30 papers). Giulia Matrone collaborates with scholars based in Italy, Belgium and Ireland. Giulia Matrone's co-authors include Giovanni Magenes, Alessandro Stuart Savoia, Giosué Calıano, Alessandro Ramalli, Maria Chiara Carrozza, Christian Cipriani, Piero Tortoli, Marco Pasian, Simona Di Meo and Emanuele Lindo Secco and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Giulia Matrone

79 papers receiving 1.4k citations

Hit Papers

The Delay Multiply and Sum Beamforming Algorithm in Ultra... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Matrone Italy 18 1.1k 774 666 149 134 89 1.4k
Adnan Elahi Ireland 22 944 0.9× 164 0.2× 255 0.4× 338 2.3× 63 0.5× 90 1.4k
Amin Nikoozadeh United States 21 949 0.9× 737 1.0× 456 0.7× 488 3.3× 23 0.2× 65 1.3k
Elijah E. W. Van Houten United States 23 1.3k 1.2× 1.4k 1.8× 381 0.6× 140 0.9× 28 0.2× 44 1.7k
Kailiang Xu China 21 480 0.4× 405 0.5× 802 1.2× 92 0.6× 33 0.2× 117 1.4k
K Boone United Kingdom 7 1.1k 1.0× 1.3k 1.7× 833 1.3× 477 3.2× 21 0.2× 7 1.9k
Hojong Choi South Korea 20 559 0.5× 541 0.7× 319 0.5× 257 1.7× 39 0.3× 105 1.2k
Richard J. Przybyla United States 14 638 0.6× 262 0.3× 514 0.8× 404 2.7× 22 0.2× 22 910
Tomoo Kamakura Japan 17 698 0.6× 178 0.2× 275 0.4× 97 0.7× 61 0.5× 84 1.0k
C.M.W. Daft United States 14 451 0.4× 455 0.6× 259 0.4× 103 0.7× 23 0.2× 27 775
Richard L. Tutwiler United States 11 284 0.3× 216 0.3× 161 0.2× 86 0.6× 81 0.6× 44 591

Countries citing papers authored by Giulia Matrone

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Matrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Matrone

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Matrone. A scholar is included among the top collaborators of Giulia Matrone 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 Giulia Matrone. Giulia Matrone 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.
Bari, Vlasta, Beatrice Cairo, Giulia Matrone, et al.. (2025). Joint Analysis of Cardiovascular Control and Shear Wave Elastography to Determine Carotid Plaque Vulnerability. Journal of Clinical Medicine. 14(2). 648–648.
2.
Seoni, Silvia, et al.. (2025). Adversarial learning for beamforming domain transfer in ultrasound medical imaging. Ultrasonics. 156. 107749–107749.
3.
Meacci, Valentino, et al.. (2024). A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-Concept. IEEE Open Journal of Engineering in Medicine and Biology. 5. 376–382. 2 indexed citations
4.
Matrone, Giulia, et al.. (2024). 3-D Ultrasound Imaging with Microbeamformer-Based FDMAS: a Preliminary Performance Assessment. Florence Research (University of Florence). 1–4. 1 indexed citations
7.
Seoni, Silvia, Giulia Matrone, & Kristen M. Meiburger. (2023). Texture analysis of ultrasound images obtained with different beamforming techniques and dynamic ranges – A robustness study. Ultrasonics. 131. 106940–106940. 7 indexed citations
8.
Meo, Simona Di, et al.. (2022). On the dielectric and mechanical characterization of tissue‐mimicking breast phantoms. Physics in Medicine and Biology. 67(15). 155018–155018. 5 indexed citations
10.
Bevacqua, Martina T., Simona Di Meo, Lorenzo Crocco, et al.. (2020). Potentialities of Inverse Scattering Techniques for Breast Cancer Imaging at Millimeter-Waves Frequencies. 1–3. 3 indexed citations
11.
Meo, Simona Di, Lorenzo Pasotti, Marco Pasian, et al.. (2019). Tissue-mimicking materials for breast phantoms up to 50 GHz. Physics in Medicine and Biology. 64(5). 55006–55006. 47 indexed citations
12.
Matrone, Giulia, Alessandro Ramalli, Jan D’hooge, Piero Tortoli, & Giovanni Magenes. (2019). A Comparison of Coherence-Based Beamforming Techniques in High-Frame-Rate Ultrasound Imaging With Multi-Line Transmission. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(2). 329–340. 37 indexed citations
13.
Meo, Simona Di, et al.. (2019). Preliminary experimental results for imaging at millimetre-wave frequencies in breast phantoms. European Microwave Conference. 542–545. 2 indexed citations
14.
Matrone, Giulia, Alessandro Ramalli, Piero Tortoli, & Giovanni Magenes. (2018). Experimental evaluation of ultrasound higher-order harmonic imaging with Filtered-Delay Multiply And Sum (F-DMAS) non-linear beamforming. Ultrasonics. 86. 59–68. 26 indexed citations
15.
Matrone, Giulia, Alessandro Stuart Savoia, Giosué Calıano, & Giovanni Magenes. (2016). Depth-of-field enhancement in Filtered-Delay Multiply and Sum beamformed images using Synthetic Aperture Focusing. Ultrasonics. 75. 216–225. 40 indexed citations
16.
Savoia, Alessandro Stuart, Giosué Calıano, Giulia Matrone, et al.. (2014). Improved lateral resolution and contrast in ultrasound imaging using a sidelobe masking technique. Florence Research (University of Florence). 1682–1685. 6 indexed citations
17.
Moscato, Stefano, Giulia Matrone, Marco Pasian, et al.. (2013). A mm-Wave 2D Ultra-Wideband Imaging Radar for Breast Cancer Detection. International Journal of Antennas and Propagation. 2013. 1–8. 15 indexed citations
18.
Matrone, Giulia, Fabiana Quaglia, & Giovanni Magenes. (2010). Modeling and simulation of ultrasound fields generated by 2D phased array transducers for medical applications. PubMed. 4. 6003–6006. 6 indexed citations
19.
Matrone, Giulia, Christian Cipriani, Emanuele Lindo Secco, Giovanni Magenes, & Maria Chiara Carrozza. (2010). Principal components analysis based control of a multi-dof underactuated prosthetic hand. Journal of NeuroEngineering and Rehabilitation. 7(1). 16–16. 101 indexed citations
20.
Matrone, Giulia, Christian Cipriani, Emanuele Lindo Secco, Maria Chiara Carrozza, & Giovanni Magenes. (2009). Bio-inspired controller for a dexterous prosthetic hand based on principal components analysis. PubMed. 14. 5022–5025. 16 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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