Vito Pascazio

3.8k total citations
204 papers, 2.7k citations indexed

About

Vito Pascazio is a scholar working on Aerospace Engineering, Biomedical Engineering and Ocean Engineering. According to data from OpenAlex, Vito Pascazio has authored 204 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Aerospace Engineering, 68 papers in Biomedical Engineering and 53 papers in Ocean Engineering. Recurrent topics in Vito Pascazio's work include Synthetic Aperture Radar (SAR) Applications and Techniques (96 papers), Advanced SAR Imaging Techniques (83 papers) and Microwave Imaging and Scattering Analysis (63 papers). Vito Pascazio is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (96 papers), Advanced SAR Imaging Techniques (83 papers) and Microwave Imaging and Scattering Analysis (63 papers). Vito Pascazio collaborates with scholars based in Italy, China and Netherlands. Vito Pascazio's co-authors include Gilda Schirinzi, Giampaolo Ferraioli, Tommaso Isernia, Fabio Baselice, Rocco Pierri, Michele Ambrosanio, Alessandra Budillon, O.M. Bucci, Sergio Vitale and Lorenzo Crocco and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Vito Pascazio

185 papers receiving 2.6k citations

Peers

Vito Pascazio

CVPR

Gilda Schirinzi Italy

Wen Hong China

Otmar Loffeld Germany

I. Cumming Canada

M. Soumekh United States

Marco Martorella Italy

Daniel E. Wahl United States

F. Berizzi Italy

Yunkai Deng China

Charles V. Jakowatz United States

Gilda Schirinzi Italy

Vito Pascazio

2.1k ×1.5

598 ×0.6

441 ×0.6

325 ×0.6

CVPR

592 ×1.3

Citations per year, relative to Vito Pascazio Vito Pascazio (= 1×) peers Gilda Schirinzi

Countries citing papers authored by Vito Pascazio

Since Specialization

Citations

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

Fields of papers citing papers by Vito Pascazio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Pascazio

This figure shows the co-authorship network connecting the top 25 collaborators of Vito Pascazio. A scholar is included among the top collaborators of Vito Pascazio 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 Vito Pascazio. Vito Pascazio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ambrosanio, Michele, et al.. (2024). Enhanced Deep-Learning-Based Microwave Sensing Technology for Breast Cancer Localization. 1–5.

Franceschini, Stefano Sellari, et al.. (2024). An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case. Sensors. 25(1). 123–123.

Franceschini, Stefano Sellari, et al.. (2023). A Deep Learning Approach for Diagnosis Support in Breast Cancer Microwave Tomography. Diagnostics. 13(10). 1693–1693. 9 indexed citations

Franceschini, Stefano Sellari, et al.. (2023). Intra voxel analysis in magnetic resonance imaging via deep learning. International Journal of Imaging Systems and Technology. 34(1). 1 indexed citations

Ambrosanio, Michele, et al.. (2023). Microwave Breast Sensing via Deep Learning for Tumor Spatial Localization by Probability Maps. Bioengineering. 10(10). 1153–1153. 5 indexed citations

Zhou, Lifan, Hanwen Yu, Vito Pascazio, & Mengdao Xing. (2022). PU-GAN: A One-Step 2-D InSAR Phase Unwrapping Based on Conditional Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 58 indexed citations

Franceschini, Stefano Sellari, Michele Ambrosanio, Vito Pascazio, & Fabio Baselice. (2022). Hand Gesture Signatures Acquisition and Processing by Means of a Novel Ultrasound System. Bioengineering. 10(1). 36–36. 12 indexed citations

Franceschini, Stefano Sellari, Michele Ambrosanio, Fabio Baselice, & Vito Pascazio. (2021). Neural Networks for Inverse Problems: the Microwave Imaging Case. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–5. 8 indexed citations

Vitale, Sergio, Giampaolo Ferraioli, & Vito Pascazio. (2021). Analysis on the Building of Training Dataset for Deep Learning SAR Despeckling. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 36 indexed citations

10.

Budillon, Alessandra, Laurent Denis, Florence Tupin, et al.. (2020). Table of Contents. IEEE Geoscience and Remote Sensing Magazine. 8(2). 1–2. 1 indexed citations

11.

Ambrosanio, Michele, Stefano Sellari Franceschini, Fabio Baselice, & Vito Pascazio. (2020). Artificial Neural Networks for Quantitative Microwave Breast Imaging. 204–208.

12.

Ambrosanio, Michele, et al.. (2020). Anisotropic Weighted KS-NLM Filter for Noise Reduction in MRI. IEEE Access. 8. 184866–184884. 9 indexed citations

13.

Vitale, Sergio, Giampaolo Ferraioli, & Vito Pascazio. (2019). A New Ratio Image Based CNN Algorithm for SAR Despeckling. arXiv (Cornell University). 9494–9497. 22 indexed citations

14.

Ambrosanio, Michele, Martina T. Bevacqua, Tommaso Isernia, & Vito Pascazio. (2019). Experimental Multistatic Imaging VIA the Linear Sampling Method. 3586–3589. 3 indexed citations

15.

Baselice, Fabio, et al.. (2018). Denoising of MR images using Kolmogorov-Smirnov distance in a Non Local framework. Magnetic Resonance Imaging. 57. 176–193. 22 indexed citations

16.

Baselice, Fabio, Giampaolo Ferraioli, & Vito Pascazio. (2015). A Bayesian approach for relaxation times estimation in MRI. Magnetic Resonance Imaging. 34(3). 312–325. 11 indexed citations

17.

Budillon, Alessandra, et al.. (2011). Persistent scatterers detection by multi-pass SAR interferometric data. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–120. 1 indexed citations

18.

D’Urso, M., et al.. (2009). Exploiting markov random field and an extended range linear approximation for 2D inverse scattering problems. European Conference on Antennas and Propagation. 757–760. 2 indexed citations

19.

Pascazio, Vito & Gilda Schirinzi. (2002). Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parameters. IEEE Transactions on Image Processing. 11(12). 1478–1489. 112 indexed citations

20.

Isernia, Tommaso, Vito Pascazio, Rocco Pierri, & Gilda Schirinzi. (1996). Synthetic aperture radar imagingfrom phase-corrupted data. IEE Proceedings - Radar Sonar and Navigation. 143(4). 268–274. 11 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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