Armando Marino

2.3k total citations
139 papers, 1.7k citations indexed

About

Armando Marino is a scholar working on Aerospace Engineering, Environmental Engineering and Oceanography. According to data from OpenAlex, Armando Marino has authored 139 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Aerospace Engineering, 44 papers in Environmental Engineering and 33 papers in Oceanography. Recurrent topics in Armando Marino's work include Synthetic Aperture Radar (SAR) Applications and Techniques (78 papers), Advanced SAR Imaging Techniques (38 papers) and Ocean Waves and Remote Sensing (27 papers). Armando Marino is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (78 papers), Advanced SAR Imaging Techniques (38 papers) and Ocean Waves and Remote Sensing (27 papers). Armando Marino collaborates with scholars based in United Kingdom, China and Switzerland. Armando Marino's co-authors include Irena Hajnsek, S.R. Cloude, Iain Woodhouse, Tao Liu, Gui Gao, Jian Yang, Kazuo Ouchi, Ferdinando Nunziata, Juan M. López‐Sánchez and Wolfgang Dierking and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Armando Marino

125 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Armando Marino United Kingdom 24 1.0k 435 370 342 277 139 1.7k
Xiaoshuang Ma China 17 251 0.2× 132 0.3× 375 1.0× 269 0.8× 207 0.7× 44 1.1k
Kazuo Ouchi Japan 12 492 0.5× 287 0.7× 94 0.3× 139 0.4× 98 0.4× 70 817
W. Kleynhans South Africa 18 266 0.3× 117 0.3× 253 0.7× 131 0.4× 139 0.5× 76 905
J. S. Lee United States 5 776 0.7× 101 0.2× 441 1.2× 421 1.2× 185 0.7× 8 1.2k
Pascale Dubois-Fernandez France 22 1.3k 1.2× 96 0.2× 78 0.2× 795 2.3× 352 1.3× 66 1.6k
G. Schiavon Italy 21 636 0.6× 57 0.1× 289 0.8× 741 2.2× 531 1.9× 110 1.5k
Andreas Schmitt Germany 19 352 0.3× 64 0.1× 334 0.9× 427 1.2× 333 1.2× 76 1.5k
Javier Marcello Spain 18 89 0.1× 439 1.0× 441 1.2× 338 1.0× 197 0.7× 85 1.2k
Yasser Maghsoudi Iran 20 914 0.9× 80 0.2× 247 0.7× 449 1.3× 303 1.1× 87 1.4k

Countries citing papers authored by Armando Marino

Since Specialization
Citations

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

Fields of papers citing papers by Armando Marino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armando Marino

This figure shows the co-authorship network connecting the top 25 collaborators of Armando Marino. A scholar is included among the top collaborators of Armando Marino 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 Armando Marino. Armando Marino 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.
Jiang, Dalin, Armando Marino, Carlos Loureiro, et al.. (2025). Combining optical and SAR satellite data to monitor coastline changes in the Black Sea. ISPRS Journal of Photogrammetry and Remote Sensing. 226. 102–115. 2 indexed citations
2.
3.
Akbari, Vahid, et al.. (2024). Detection and Mapping of Water Hyacinth Growth Cycle in Anzali International Wetland Using Sentinel-2 Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 13346–13357. 1 indexed citations
4.
Marino, Armando, et al.. (2023). Assessment of the Impact of Surface Water Content for Temperate Forests in SAR Data at C-Band. Remote Sensing. 15(24). 5723–5723. 1 indexed citations
5.
Simpson, Morgan, Armando Marino, P. de Maagt, et al.. (2023). Investigating the Backscatter of Marine Plastic Litter Using a C- and X-Band Ground Radar, during a Measurement Campaign in Deltares. Remote Sensing. 15(6). 1654–1654. 9 indexed citations
6.
Guan, Yuan, et al.. (2023). Forest Canopy Cover Inversion Exploration Using Multi-Source Optical Data and Combined Methods. Forests. 14(8). 1527–1527. 6 indexed citations
7.
Nunziata, Ferdinando, et al.. (2023). Analysis of Full-Polarimetric SAR Measurements Collected in the Intertidal Area of Solway Firth by Cosmo-Skymed 2nd Generation Mission. IRIS Research product catalog (Sapienza University of Rome). 11. 1293–1296. 1 indexed citations
8.
Marino, Armando, et al.. (2023). The InflateSAR Campaign: Developing Refugee Vessel Detection Capabilities with Polarimetric SAR. Remote Sensing. 15(8). 2008–2008. 3 indexed citations
9.
Martone, Michele & Armando Marino. (2023). Editorial for the Special Issue “SAR for Forest Mapping II”. Remote Sensing. 15(18). 4376–4376. 1 indexed citations
10.
Zhang, Wangfei, et al.. (2023). Aboveground Biomass Retrieval in Tropical and Boreal Forests Using L-Band Airborne Polarimetric Observations. Forests. 14(5). 887–887. 5 indexed citations
11.
Marino, Armando, et al.. (2021). Multitemporal Polarimetric SAR Change Detection for Crop Monitoring and Crop Type Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 12361–12374. 23 indexed citations
12.
Liu, Tao, et al.. (2020). A New Form of the Polarimetric Notch Filter. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 18 indexed citations
13.
Dierking, Wolfgang, et al.. (2019). Automatic Detection of Small Icebergs in Fast Ice Using Satellite Wide-Swath SAR Images. Remote Sensing. 11(7). 806–806. 28 indexed citations
14.
Marino, Armando, Wolfgang Dierking, & Christine Wesche. (2016). Contrast enhancement for an iceberg detector with a CFAR test using dual-polarized radar imagery. Stirling Online Research Repository (University of Stirling). 73–76. 1 indexed citations
15.
Marino, Armando & Irena Hajnsek. (2014). Ship detection with TanDEM-X data: a statistical test for a polarimetric notch filter. elib (German Aerospace Center). 1–4. 2 indexed citations
16.
Marino, Armando, Wolfgang Dierking, Irena Hajnsek, & Christine Wesche. (2013). SAR polarimetry for classification of sea ice: a comparison of physical based algorithms on ICESAR data. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 1 indexed citations
17.
Marino, Armando, et al.. (2013). Comparison of ship detectors using polarimetric alos data: Tokyo Bay. IRIS Research product catalog (Sapienza University of Rome). 2345–2348. 7 indexed citations
18.
Marino, Armando, et al.. (2012). Perturbation analysis for maritime applications. 509–512. 3 indexed citations
19.
Marino, Armando, S.R. Cloude, & Iain Woodhouse. (2010). New Classification Technique based on Depolarised Target Detection. 1–4. 1 indexed citations
20.
Marino, Armando & S.R. Cloude. (2010). Detecting Depolarizing Targets using a New Geometrical Perturbation Filter. 1–4. 8 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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