Umberto Amato

93 papers and 1.2k indexed citations i.

About

Umberto Amato is a scholar working on Atmospheric Science, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Umberto Amato has authored 93 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 18 papers in Aerospace Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Umberto Amato’s work include Image and Signal Denoising Methods (14 papers), Calibration and Measurement Techniques (14 papers) and Atmospheric Ozone and Climate (11 papers). Umberto Amato is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Calibration and Measurement Techniques (14 papers) and Atmospheric Ozone and Climate (11 papers). Umberto Amato collaborates with scholars based in Italy, France and United States. Umberto Amato's co-authors include Carmine Serio, Anestis Antoniadis, Italia De Feis, V. Cuomo, Easter S. Suviseshamuthu, Guido Masiello, Maria Francesca Carfora, M. S. P. Subathra, T. Aruldoss Albert Victoire and Bruno Alfano and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Applied Physics and Remote Sensing of Environment.

In The Last Decade

Co-authorship network of co-authors of Umberto Amato i

Fields of papers citing papers by Umberto Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Umberto Amato

Since Specialization
Citations

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