Sara Parrilli

1.2k total citations · 1 hit paper
27 papers, 870 citations indexed

About

Sara Parrilli is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ecology. According to data from OpenAlex, Sara Parrilli has authored 27 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 6 papers in Ecology. Recurrent topics in Sara Parrilli's work include Image and Signal Denoising Methods (9 papers), Remote Sensing in Agriculture (6 papers) and Advanced Data Compression Techniques (6 papers). Sara Parrilli is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Remote Sensing in Agriculture (6 papers) and Advanced Data Compression Techniques (6 papers). Sara Parrilli collaborates with scholars based in Italy, France and United Kingdom. Sara Parrilli's co-authors include Luisa Verdoliva, Cesario Vincenzo Angelino, Giovanni Poggi, Giuseppe Scarpa, Davide Cozzolino, Marco Cagnazzo, Giovanni Chierchia, Carlo Sansone, Luca Cicala and Béatrice Pesquet‐Popescu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sustainability.

In The Last Decade

Sara Parrilli

22 papers receiving 825 citations

Hit Papers

A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE ... 2011 2026 2016 2021 2011 100 200 300 400 500
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.

  1. A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage
    2011 557 citations Sara Parrilli, Cesario Vincenzo Angelino et al. profile →

Peers

Sara Parrilli
Degang Wang China
Bernard Rougé France
Albert Prades Spain
Qiangqiang Yuan China
Sen Lei China
Guoming Gao China
Qi Wei France
David A. Yocky United States
Fulin Su China
Zhen Ye China
Degang Wang China
Sara Parrilli
Citations per year, relative to Sara Parrilli Sara Parrilli (= 1×) peers Degang Wang

Countries citing papers authored by Sara Parrilli

Since Specialization
Citations

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

Fields of papers citing papers by Sara Parrilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Parrilli

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Parrilli. A scholar is included among the top collaborators of Sara Parrilli 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 Sara Parrilli. Sara Parrilli 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
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Cicala, Luca, et al.. (2024). Progressive Monitoring of Micro-Dumps Using Remote Sensing: An Applicative Framework for Illegal Waste Management. Sustainability. 16(13). 5695–5695. 3 indexed citations
3.
Marrocco, Claudio, Alessandro Bria, Francesco Tortorella, et al.. (2024). Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. IEEE Access. 12. 79585–79601. 2 indexed citations
4.
Cicala, Luca, et al.. (2023). Progressive monitoring of micro-dumps: a case study over the Campania Region (Italy). 5–5. 2 indexed citations
5.
Gargiulo, Massimiliano, et al.. (2023). Assessing the Impact of Soil Contamination on Maize Plant Development using UAV-Based Multispectral Indices. 343–348. 2 indexed citations
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Focareta, Mariano, et al.. (2018). A case study on the detection of illegal dumps with GIS and remote sensing images. 21–21. 13 indexed citations
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Angelino, Cesario Vincenzo, et al.. (2017). Remote sensing for illegal dumps detection: a case study in southern Italy. EGUGA. 15579. 1 indexed citations
10.
Corraro, Federico, et al.. (2015). GN&C technologies for remotely piloted air systems: The vision of the Italian Aerospace Research Center. 17. 401–408. 3 indexed citations
11.
Cozzolino, Davide, Sara Parrilli, Giuseppe Scarpa, Giovanni Poggi, & Luisa Verdoliva. (2013). Fast Adaptive Nonlocal SAR Despeckling. IEEE Geoscience and Remote Sensing Letters. 11(2). 524–528. 146 indexed citations
12.
Chierchia, Giovanni, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva, & Carlo Sansone. (2011). PRNU-based detection of small-size image forgeries. 1–6. 18 indexed citations
13.
Parrilli, Sara, et al.. (2010). Sigmoid shrinkage for BM3D denoising algorithm. 423–426. 8 indexed citations
14.
Chierchia, Giovanni, Sara Parrilli, Giovanni Poggi, Carlo Sansone, & Luisa Verdoliva. (2010). On the influence of denoising in PRNU based forgery detection. 117–122. 48 indexed citations
15.
Parrilli, Sara, Marco Cagnazzo, & Béatrice Pesquet‐Popescu. (2008). Distortion evaluation in transform domain for adaptive lifting schemes. Research Padua Archive (University of Padua). 25. 200–205. 8 indexed citations
16.
Parrilli, Sara, Luisa Verdoliva, & Giovanni Poggi. (2008). A SPIHT-like image coder based on the contourlet transform. 6. 2908–2911.
17.
Cagnazzo, Marco, Sara Parrilli, Giovanni Poggi, & Luisa Verdoliva. (2007). Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform. EURASIP Journal on Image and Video Processing. 2007(1). 78323–78323. 7 indexed citations
18.
Cagnazzo, Marco, Sara Parrilli, Giovanni Poggi, & Luisa Verdoliva. (2007). Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform. EURASIP Journal on Image and Video Processing. 2007. 1–13. 14 indexed citations
19.
Cagnazzo, Marco, Raffaele Gaetano, Sara Parrilli, & Luisa Verdoliva. (2006). Region Based Compression Of Multispectral Images By Classified Klt. Zenodo (CERN European Organization for Nuclear Research). 1–5. 4 indexed citations
20.
Cagnazzo, Marco, Raffaele Gaetano, Sara Parrilli, & Luisa Verdoliva. (2006). Adaptive Region-Based Compression of Multispectral Images. Research Padua Archive (University of Padua). 6. 3249–3252.

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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