Fabio Baselice

1.8k total citations
84 papers, 1.2k citations indexed

About

Fabio Baselice is a scholar working on Aerospace Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fabio Baselice has authored 84 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Aerospace Engineering, 24 papers in Biomedical Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fabio Baselice's work include Synthetic Aperture Radar (SAR) Applications and Techniques (20 papers), Image and Signal Denoising Methods (16 papers) and Microwave Imaging and Scattering Analysis (15 papers). Fabio Baselice is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (20 papers), Image and Signal Denoising Methods (16 papers) and Microwave Imaging and Scattering Analysis (15 papers). Fabio Baselice collaborates with scholars based in Italy, France and Netherlands. Fabio Baselice's co-authors include Giampaolo Ferraioli, Vito Pascazio, Michele Ambrosanio, Pierpaolo Sorrentino, Rosaria Rucco, Gilda Schirinzi, Stefano Sellari Franceschini, Giuseppe Sorrentino, Marianna Liparoti and Laura Mandolesi and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Fabio Baselice

78 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Baselice Italy 21 309 280 239 219 157 84 1.2k
Giampaolo Ferraioli Italy 23 689 2.2× 418 1.5× 207 0.9× 111 0.5× 125 0.8× 125 2.0k
Yong‐Sheng Chen Taiwan 25 165 0.5× 559 2.0× 67 0.3× 417 1.9× 117 0.7× 158 2.0k
Hong Xie China 21 158 0.5× 175 0.6× 77 0.3× 196 0.9× 61 0.4× 111 1.3k
R. Adams United Kingdom 9 156 0.5× 1.3k 4.7× 231 1.0× 180 0.8× 414 2.6× 19 2.6k
Lin Qi China 21 121 0.4× 574 2.0× 192 0.8× 62 0.3× 80 0.5× 113 1.3k
Jacques Verly Belgium 20 510 1.7× 376 1.3× 269 1.1× 68 0.3× 79 0.5× 145 1.2k
Wolfgang Fink United States 22 271 0.9× 147 0.5× 186 0.8× 56 0.3× 277 1.8× 143 1.6k
F. Parmiggiani Italy 19 145 0.5× 309 1.1× 426 1.8× 251 1.1× 35 0.2× 84 1.6k
Su Zhang China 23 413 1.3× 495 1.8× 116 0.5× 456 2.1× 137 0.9× 83 1.9k
Hamid Abrishami Moghaddam Iran 23 77 0.2× 823 2.9× 208 0.9× 182 0.8× 379 2.4× 108 1.7k

Countries citing papers authored by Fabio Baselice

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Baselice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Baselice

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Baselice. A scholar is included among the top collaborators of Fabio Baselice 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 Fabio Baselice. Fabio Baselice 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.
2.
Franceschini, Stefano Sellari, et al.. (2024). An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case. Sensors. 25(1). 123–123.
3.
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
4.
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
5.
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
6.
Sorrentino, Pierpaolo, Fabio Baselice, Emahnuel Troisi Lopez, et al.. (2022). Dynamical interactions reconfigure the gradient of cortical timescales. Network Neuroscience. 7(1). 73–85. 13 indexed citations
7.
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
8.
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
9.
Ambrosanio, Michele, Stefano Sellari Franceschini, Fabio Baselice, & Vito Pascazio. (2020). Artificial Neural Networks for Quantitative Microwave Breast Imaging. 204–208.
10.
Rucco, Rosaria, Fabio Baselice, Michele Ambrosanio, et al.. (2020). Brain connectivity study by multichannel system based on superconducting quantum magnetic sensors. Engineering Research Express. 2(1). 15038–15038. 4 indexed citations
11.
Ambrosanio, Michele, et al.. (2020). Anisotropic Weighted KS-NLM Filter for Noise Reduction in MRI. IEEE Access. 8. 184866–184884. 9 indexed citations
12.
Sorrentino, Pierpaolo, Rosaria Rucco, Laura Mandolesi, et al.. (2019). An automated magnetoencephalographic data cleaning algorithm. Computer Methods in Biomechanics & Biomedical Engineering. 22(14). 1116–1125. 7 indexed citations
13.
Baselice, Fabio, et al.. (2018). Phase Linearity Measurement: A Novel Index for Brain Functional Connectivity. IEEE Transactions on Medical Imaging. 38(4). 873–882. 29 indexed citations
14.
Rucco, Rosaria, Marianna Liparoti, Giampaolo Ferraioli, et al.. (2018). Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review. Sensors. 18(5). 1613–1613. 88 indexed citations
15.
Lardone, Anna, Marianna Liparoti, Pierpaolo Sorrentino, et al.. (2018). Mindfulness Meditation Is Related to Long-Lasting Changes in Hippocampal Functional Topology during Resting State: A Magnetoencephalography Study. Neural Plasticity. 2018. 1–9. 39 indexed citations
16.
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
17.
Sorrentino, Pierpaolo, Rosaria Rucco, Francesca Jacini, et al.. (2018). Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study. NeuroImage Clinical. 20. 564–571. 51 indexed citations
18.
Baselice, Fabio & Giampaolo Ferraioli. (2017). Modified Dixon technique for MRI water-fat separation using jointly amplitude and phase. CINECA IRIS Institutial research information system (Parthenope University of Naples). 28(10). 4324–4328. 1 indexed citations
19.
Baselice, Fabio. (2017). Ultrasound Image Despeckling Based on Statistical Similarity. Ultrasound in Medicine & Biology. 43(9). 2065–2078. 26 indexed citations
20.
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

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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