Cinzia Lastri

539 total citations
38 papers, 392 citations indexed

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 38 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 9 papers in Computational Mechanics. Recurrent topics in Cinzia Lastri's work include Image and Signal Denoising Methods (11 papers), Advanced Data Compression Techniques (11 papers) and Remote-Sensing Image Classification (10 papers). Cinzia Lastri is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Advanced Data Compression Techniques (11 papers) and Remote-Sensing Image Classification (10 papers). Cinzia Lastri collaborates with scholars based in Italy, Netherlands and Romania. Cinzia Lastri's co-authors include Donatella Guzzi, Vanni Nardino, Leonardo Disperati, Francesco Chianucci, Piermaria Corona, Bruno Aiazzi, Stefano Baronti, Ivan Pippi, Luciano Alparone and Alessandro Barducci and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Optics Express.

In The Last Decade

Cinzia Lastri

33 papers receiving 370 citations

Peers

Cinzia Lastri
Cinzia Lastri
Citations per year, relative to Cinzia Lastri Cinzia Lastri (= 1×) peers Donatella Guzzi

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).

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.

Co-authorship network of co-authors of Cinzia Lastri

This figure shows the co-authorship network connecting the top 25 collaborators of Cinzia Lastri. A scholar is included among the top collaborators of Cinzia Lastri 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 Cinzia Lastri. Cinzia Lastri 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.
Raimondi, Valentina, Maria Paola Bracciale, Paolo Corradi, et al.. (2024). The Blue Project: Investigating the Remote Sensing of Plastic Marine Litter by Means of Lidar Techniques. 5924–5926.
2.
Nardino, Vanni, Donatella Guzzi, Cinzia Lastri, et al.. (2023). Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis. Sensors. 23(4). 2269–2269. 1 indexed citations
3.
Lastri, Cinzia, Tiziano Bianchi, Maria Fabrizia Buongiorno, et al.. (2021). SISSI Project: A Feasibility Study for a Super Resolved Compressive Sensing Multispectral Imager in the Medium Infrared. MDPI (MDPI AG). 28–28.
4.
Guzzi, Donatella, Vanni Nardino, Cinzia Lastri, & Valentina Raimondi. (2021). A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data. Remote Sensing. 13(9). 1799–1799. 3 indexed citations
5.
Raimondi, Valentina, Donatella Guzzi, Cinzia Lastri, et al.. (2021). A feasability study for a compressive sensing imager in the medium infrared for hotspot detection. IRIS Research product catalog (Sapienza University of Rome). 10563. 188–188. 1 indexed citations
6.
Lastri, Cinzia, Donatella Guzzi, Vanni Nardino, Lorenzo Palombi, & Valentina Raimondi. (2019). Exploring the Potential of Compressive Sensing and Super-Resolution for Space Applications in the MIR-TIR. SHILAP Revista de lepidopterología. 35–35. 1 indexed citations
7.
Guzzi, Donatella, Giulio Coluccia, Demetrio Labate, et al.. (2019). Optical compressive sensing technologies for space applications: instrumental concepts and performance analysis. International Conference on Space Optics — ICSO 2018. 47. 226–226. 4 indexed citations
8.
Guzzi, Donatella, Cinzia Lastri, Paolo Marcoionni, et al.. (2017). Compressive sensing and hyperspectral imaging. 92–92. 5 indexed citations
9.
Chianucci, Francesco, Leonardo Disperati, Donatella Guzzi, et al.. (2015). Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV. International Journal of Applied Earth Observation and Geoinformation. 47. 60–68. 173 indexed citations
10.
Barducci, Alessandro, Donatella Guzzi, Cinzia Lastri, et al.. (2014). Emissivity and Temperature Assessment Using a Maximum Entropy Estimator: Structure and Performance of the MaxEnTES Algorithm. IEEE Transactions on Geoscience and Remote Sensing. 53(2). 738–751. 10 indexed citations
11.
Barducci, Alessandro, Donatella Guzzi, Cinzia Lastri, et al.. (2013). Development of a compressive sampling hyperspectral imager prototype. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8889. 88891R–88891R. 2 indexed citations
12.
Barducci, Alessandro, Donatella Guzzi, Cinzia Lastri, et al.. (2010). Radiometric and signal-to-noise ratio properties of multiplex dispersive spectrometry. Applied Optics. 49(28). 5366–5366. 18 indexed citations
13.
Barducci, Alessandro, Donatella Guzzi, Cinzia Lastri, et al.. (2010). Theoretical aspects of Fourier Transform Spectrometry and common path triangular interferometers. Optics Express. 18(11). 11622–11622. 52 indexed citations
14.
Aiazzi, Bruno, Luciano Alparone, Stefano Baronti, & Cinzia Lastri. (2007). Crisp and Fuzzy Adaptive Spectral Predictions for Lossless and Near-Lossless Compression of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 4(4). 532–536. 40 indexed citations
15.
Aiazzi, Bruno, Stefano Baronti, Cinzia Lastri, Leonardo Santurri, & Luciano Alparone. (2005). Low-complexity lossless/near-lossless compression of hyperspectral imagery through classified linear spectral prediction. Florence Research (University of Florence). 1. 132–135. 6 indexed citations
16.
Lastri, Cinzia, Bruno Aiazzi, Luciano Alparone, & Stefano Baronti. (2005). Virtually Lossless Compression of Astrophysical Images. EURASIP Journal on Advances in Signal Processing. 2005(15). 5 indexed citations
17.
Aiazzi, Bruno, Luciano Alparone, Stefano Baronti, et al.. (2004). Information-Theoretic Assessment of Optical Remote-Sensing Imagery. Florence Research (University of Florence). 553. 5–12. 1 indexed citations
18.
Aiazzi, Bruno, Luciano Alparone, Stefano Baronti, et al.. (2004). <title>Tradeoff between radiometric and spectral distortion in lossy compression of hyperspectral imagery</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5208. 141–152. 2 indexed citations
19.
Aiazzi, Bruno, Luciano Alparone, Stefano Baronti, et al.. (2004). Advanced methods for onboard lossless compression of hyperspectral data. Florence Research (University of Florence). 5208. 117–128. 1 indexed citations
20.
Aiazzi, Bruno, Luciano Alparone, Stefano Baronti, et al.. (2004). <title>Advanced methods for onboard lossless compression of hyperspectral data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5208. 117–128. 3 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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