Umberto Amato
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Atmospheric Science top 5%
- Atmospheric Ozone and Climate
Papers in
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- Statistical Methods and Inference 8
-
- Remote-Sensing Image Classification 10
- Co-authors
- Carmine SerioAnestis AntoniadisItalia De FeisV. CuomoEaster S. SuviseshamuthuGuido MasielloMaria Francesca CarforaMariassunta Viggiano
- Journals
- Solar Energy (3 papers)Sensors (3 papers)Statistics and Computing (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)International Journal of Remote Sensing (2 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Umberto Amato
99 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Media Technology 172
- Atmospheric Science 337
- Global and Planetary Change 336
- Statistics and Probability 122
- Computer Vision and Pattern Recognition 213
Countries citing papers authored by Umberto Amato
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).
Fields of papers citing papers by Umberto Amato
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.
Co-authors
The 25 scholars most cited alongside Umberto Amato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 1 | |
| 7 | Bridging Bernstein and Lagrange polynomials | 2015 | 4 |
| 8 | 2014 | 27 | |
| 9 | 2013 | 87 | |
| 10 | Range-based non-orthogonal ICA using cross-entropy method | 2012 | 4 |
| 11 | 2011 | 18 | |
| 12 | 2010 | 11 | |
| 13 | 2009 | 13 | |
| 14 | 2009 | 30 | |
| 15 | 2002 | 20 | |
| 16 | 2001 | 22 | |
| 17 | 1998 | 3 | |
| 18 | 1997 | 3 | |
| 19 | 1993 | 1 | |
| 20 | A simplified method for computing the maximum efficiency of photochemical solar cells under real atmospheric conditions | 1985 | 7 |
About Umberto Amato
Umberto Amato is a scholar working on Statistics and Probability, Media Technology, Atmospheric Science, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Calibration and Measurement Techniques (14 papers), Image and Signal Denoising Methods (14 papers), Atmospheric Ozone and Climate (11 papers), Remote-Sensing Image Classification (10 papers), Atmospheric aerosols and clouds (9 papers), Statistical Methods and Inference (8 papers), Remote Sensing in Agriculture (8 papers) and Meteorological Phenomena and Simulations (8 papers). The work is most often cited by research in Media Technology (172 citations), Atmospheric Science (337 citations), Global and Planetary Change (336 citations), Statistics and Probability (122 citations) and Computer Vision and Pattern Recognition (213 citations). Umberto Amato has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Carmine Serio, Anestis Antoniadis, Italia De Feis, V. Cuomo, Easter S. Suviseshamuthu, Guido Masiello, Maria Francesca Carfora, Mariassunta Viggiano, M. S. P. Subathra and T. Aruldoss Albert Victoire. Their work appears in journals such as Solar Energy, Sensors, Statistics and Computing, IEEE Transactions on Neural Networks and Learning Systems and International Journal of Remote Sensing.
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.