Matteo Soccorsi

669 total citations · 1 hit paper
19 papers, 577 citations indexed

About

Matteo Soccorsi is a scholar working on Aerospace Engineering, Oceanography and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matteo Soccorsi has authored 19 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Aerospace Engineering, 5 papers in Oceanography and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matteo Soccorsi's work include Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers), Advanced SAR Imaging Techniques (8 papers) and Image and Signal Denoising Methods (3 papers). Matteo Soccorsi is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers), Advanced SAR Imaging Techniques (8 papers) and Image and Signal Denoising Methods (3 papers). Matteo Soccorsi collaborates with scholars based in Germany, Italy and Slovenia. Matteo Soccorsi's co-authors include Susanne Lehner, Alexander Soloviev, Stephan Brusch, Thomas Fritz, Domenico Velotto, Mihai Datcu, Dušan Gleich, Gottfried Schwarz, Fabio Del Frate and Claudio Scarchilli and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters and elib (German Aerospace Center).

In The Last Decade

Matteo Soccorsi

19 papers receiving 557 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ship Surveillance With TerraSAR-X

2010 387 citations Stephan Brusch, Susanne Lehner et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers

Matteo Soccorsi

AE

OCEAN

CVPR

MT

POLLU

Stephan Brusch Germany

Jean-Yves Tourneret France

J.-S. Lee United States

N. Kourti Italy

K. Eldhuset Norway

Yingfei Liu China

María Teresa de Tena Rey Canada

G. Margarit Spain

Françoise Viallefont-Robinet France

Stephan Brusch Germany

Matteo Soccorsi

393 ×1.0

AE

363 ×1.7

OCEAN

86 ×0.8

CVPR

79 ×0.8

MT

57 ×0.7

POLLU

Citations per year, relative to Matteo Soccorsi Matteo Soccorsi (= 1×) peers Stephan Brusch

Countries citing papers authored by Matteo Soccorsi

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Soccorsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Soccorsi

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

All Works

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19 of 19 papers shown

1.

Soccorsi, Matteo, et al.. (2016). CSG SAR instrument design and performance. 1–4. 1 indexed citations

2.

Velotto, Domenico, Matteo Soccorsi, & Susanne Lehner. (2013). Azimuth Ambiguities Removal for Ship Detection Using Full Polarimetric X-Band SAR Data. IEEE Transactions on Geoscience and Remote Sensing. 52(1). 76–88. 68 indexed citations

3.

Velotto, Domenico, Matteo Soccorsi, & Susanne Lehner. (2012). Azimuth ambiguities removal for ship detection using full polarimetric X-band SAR data. elib (German Aerospace Center). 7621–7624. 6 indexed citations

4.

Velotto, Domenico, et al.. (2011). Neural networks for oil spill detection using TerraSAR-X data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8179. 817911–817911. 4 indexed citations

5.

Soccorsi, Matteo & Susanne Lehner. (2010). Single Channel Complex SAR Images Ship Speedand Current Motion Retrieval. elib (German Aerospace Center). 66 indexed citations

6.

Brusch, Stephan, et al.. (2010). Ship Surveillance With TerraSAR-X. IEEE Transactions on Geoscience and Remote Sensing. 49(3). 1092–1103. 387 indexed citations breakdown →

7.

Soccorsi, Matteo, et al.. (2010). SAR complex image analysis: A Gauss Markov and a multiple sub-aperture based target characterization. 1585–1588. 2 indexed citations

8.

Schwarz, Gottfried, et al.. (2009). Automated information extraction from high resolution SAR images: TerraSAR-X interpretation applications. IV–677. 3 indexed citations

9.

Soccorsi, Matteo, et al.. (2009). Parametric versus non-parametric complex image analysis. III–9. 2 indexed citations

10.

Soccorsi, Matteo, et al.. (2009). Parametric versus non-parametric complex-values image analysis. elib (German Aerospace Center). 1 indexed citations

11.

Soccorsi, Matteo, Dušan Gleich, & Mihai Datcu. (2009). Huber–Markov Model for Complex SAR Image Restoration. IEEE Geoscience and Remote Sensing Letters. 7(1). 63–67. 21 indexed citations

12.

Gleich, Dušan, et al.. (2009). Despeckling and Information Extraction from Synthetic Aperture Radar Images using GPUs. elib (German Aerospace Center). 1 indexed citations

13.

Soccorsi, Matteo & Mihai Datcu. (2008). TerraSAR-X Data Evidence Maximization-based Feature Extraction and Despeckling. elib (German Aerospace Center). 1–3. 1 indexed citations

14.

Soccorsi, Matteo & Mihai Datcu. (2008). TerraSAR-X a Complex Image Approach for Feature Extraction and Modeling. elib (German Aerospace Center). 2 indexed citations

15.

Soccorsi, Matteo & Mihai Datcu. (2007). <title>Phase characterization of polarimetric SAR images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6746. 674605–674605. 1 indexed citations

16.

Soccorsi, Matteo & Mihai Datcu. (2007). Stochastic models of SLC HR SAR images. 3887–3890. 3 indexed citations

17.

Datcu, Mihai, et al.. (2007). <title>Phase information contained in meter-scale SAR images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6746. 67460H–67460H. 5 indexed citations

18.

Soccorsi, Matteo, Marco Quartulli, & Mihai Datcu. (2006). Space-Variant Model Fitting and Selection for Image Information Extraction. AIP conference proceedings. 872. 358–366. 1 indexed citations

19.

Soccorsi, Matteo & Mihai Datcu. (2006). Bayesian Texture based Analysis of HR SLC SAR Images. elib (German Aerospace Center). 2 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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