Cinzia Lastri

27 papers and 334 indexed citations i.

About

Cinzia Lastri is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Cinzia Lastri has authored 27 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 7 papers in Computational Mechanics. Recurrent topics in Cinzia Lastri’s work include Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Data Compression Techniques (6 papers). Cinzia Lastri is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Advanced Data Compression Techniques (6 papers). Cinzia Lastri collaborates with scholars based in Italy, The Netherlands and Romania. Cinzia Lastri's co-authors include Donatella Guzzi, Francesco Chianucci, Piermaria Corona, Leonardo Disperati, Ivan Pippi, Alessandro Barducci, Paolo Marcoionni, Luciano Alparone, Bruno Aiazzi and Stefano Baronti and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and Sensors.

In The Last Decade

Co-authorship network of co-authors of Cinzia Lastri i

Fields of papers citing papers by Cinzia Lastri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cinzia Lastri

Since Specialization
Citations

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