Michele Ambrosanio

777 total citations
54 papers, 527 citations indexed

About

Michele Ambrosanio is a scholar working on Biomedical Engineering, Ocean Engineering and Computational Mechanics. According to data from OpenAlex, Michele Ambrosanio has authored 54 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 18 papers in Ocean Engineering and 15 papers in Computational Mechanics. Recurrent topics in Michele Ambrosanio's work include Microwave Imaging and Scattering Analysis (29 papers), Geophysical Methods and Applications (18 papers) and Sparse and Compressive Sensing Techniques (15 papers). Michele Ambrosanio is often cited by papers focused on Microwave Imaging and Scattering Analysis (29 papers), Geophysical Methods and Applications (18 papers) and Sparse and Compressive Sensing Techniques (15 papers). Michele Ambrosanio collaborates with scholars based in Italy, France and United Kingdom. Michele Ambrosanio's co-authors include Vito Pascazio, Fabio Baselice, Stefano Sellari Franceschini, Giampaolo Ferraioli, Panagiotis Kosmas, Pierpaolo Sorrentino, Martina T. Bevacqua, Tommaso Isernia, Rosaria Rucco and Marianna Liparoti and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Michele Ambrosanio

48 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Ambrosanio Italy 12 330 147 101 86 58 54 527
Dallan Byrne United Kingdom 12 336 1.0× 189 1.3× 27 0.3× 124 1.4× 146 2.5× 32 493
Norio Tagawa Japan 12 259 0.8× 23 0.2× 92 0.9× 196 2.3× 138 2.4× 138 637
Qisong Wu China 20 496 1.5× 143 1.0× 144 1.4× 52 0.6× 172 3.0× 76 1.3k
Shiping Ma China 13 58 0.2× 43 0.3× 285 2.8× 26 0.3× 64 1.1× 46 554
Ramazan Demirli United States 13 88 0.3× 147 1.0× 137 1.4× 506 5.9× 56 1.0× 33 701
Erika Pittella Italy 17 601 1.8× 80 0.5× 25 0.2× 48 0.6× 327 5.6× 73 1.0k
Eugene F. Greneker United States 10 422 1.3× 39 0.3× 31 0.3× 11 0.1× 87 1.5× 29 551
Javier Roa Spain 15 91 0.3× 175 1.2× 26 0.3× 31 0.4× 337 5.8× 44 778

Countries citing papers authored by Michele Ambrosanio

Since Specialization
Citations

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

Fields of papers citing papers by Michele Ambrosanio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Ambrosanio

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Ambrosanio. A scholar is included among the top collaborators of Michele Ambrosanio 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 Michele Ambrosanio. Michele Ambrosanio 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.
Franceschini, Stefano Sellari, et al.. (2024). An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case. Sensors. 25(1). 123–123.
2.
Ambrosanio, Michele, Emahnuel Troisi Lopez, Arianna Polverino, et al.. (2024). The Effect of Sleep Deprivation on Brain Fingerprint Stability: A Magnetoencephalography Validation Study. Sensors. 24(7). 2301–2301. 1 indexed citations
3.
4.
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
5.
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
6.
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
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, et al.. (2022). An Experimental Ultrasound Database for Tomographic Imaging. Applied Sciences. 12(10). 5192–5192. 2 indexed citations
9.
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
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, 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.
Ambrosanio, Michele, et al.. (2020). Artificial Neural Networks for Quantitative Microwave Breast Imaging. 3 indexed citations
14.
Ambrosanio, Michele, Martina T. Bevacqua, Tommaso Isernia, & Vito Pascazio. (2020). Performance Analysis of Tomographic Methods Against Experimental Contactless Multistatic Ground Penetrating Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 1171–1183. 32 indexed citations
15.
Franceschini, Stefano Sellari, Michele Ambrosanio, Sergio Vitale, et al.. (2020). Hand Gesture Recognition via Radar Sensors and Convolutional Neural Networks. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–5. 29 indexed citations
16.
Ambrosanio, Michele, Martina T. Bevacqua, Tommaso Isernia, & Vito Pascazio. (2019). Experimental Multistatic Imaging VIA the Linear Sampling Method. 3586–3589. 3 indexed citations
17.
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
18.
Ambrosanio, Michele, Martina T. Bevacqua, Tommaso Isernia, & Vito Pascazio. (2019). The Tomographic Approach to Ground-Penetrating Radar for Underground Exploration and Monitoring: A More User-Friendly and Unconventional Method for Subsurface Investigation. IEEE Signal Processing Magazine. 36(4). 62–73. 23 indexed citations
19.
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
20.
Ambrosanio, Michele & Vito Pascazio. (2016). Combining wavelet transform and compressive sensing for subsurface imaging of non-sparse targets. CINECA IRIS Institutial research information system (Parthenope University of Naples). 7450–7453. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dallan Byrne Breakdown of academic impact, for papers by Norio Tagawa Breakdown of academic impact, for papers by Qisong Wu Breakdown of academic impact, for papers by Shiping Ma Breakdown of academic impact, for papers by Ramazan Demirli Breakdown of academic impact, for papers by Erika Pittella Breakdown of academic impact, for papers by Eugene F. Greneker Breakdown of academic impact, for papers by Javier Roa
Rankless by CCL
2026