Sara Parrilli

13 papers and 637 indexed citations i.

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 13 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Ecology. Recurrent topics in Sara Parrilli’s work include Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (3 papers) and Remote Sensing in Agriculture (3 papers). Sara Parrilli is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (3 papers) and Remote Sensing in Agriculture (3 papers). Sara Parrilli collaborates with scholars based in Italy and France. Sara Parrilli's co-authors include Luisa Verdoliva, Cesario Vincenzo Angelino, Giovanni Poggi, Davide Cozzolino, Giuseppe Scarpa, Marco Cagnazzo, Silvia Liberata Ullo, Donato Amitrano, Claudio Marrocco and Francesco Tortorella and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Sara Parrilli i

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.

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).

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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2025