Leonardo Santurri
- Media Technology top 1%
- Computer Vision and Pattern Recognition top 5%
- Management, Monitoring, Policy and Law top 5%
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
- Co-authors
- Stefano BarontiRoberto CarlàBruno AiazziLuciano AlparoneAndrea GarzelliMassimo SelvaFederica FiorucciFrancesca Ardizzone
- Topics
- Remote-Sensing Image Classification (18 papers)Advanced Image Fusion Techniques (17 papers)Image and Signal Denoising Methods (13 papers)
- Cited by
- Media TechnologyManagement, Monitoring, Policy and LawComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Geoscience and Remote SensingAtmospheric chemistry and physicsQuarterly Journal of the Royal Meteorological Society
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Leonardo Santurri
44 papers receiving 549 citations
Peers
Comparison fields: 5 of 58
- Media Technology 284
- Computer Vision and Pattern Recognition 197
- Management, Monitoring, Policy and Law 147
- Atmospheric Science 128
- Global and Planetary Change 121
Countries citing papers authored by Leonardo Santurri
This map shows the geographic impact of Leonardo Santurri'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 Leonardo Santurri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Santurri more than expected).
Fields of papers citing papers by Leonardo Santurri
This network shows the impact of papers produced by Leonardo Santurri. 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 Leonardo Santurri. The network helps show where Leonardo Santurri may publish in the future.
Co-authorship network of co-authors of Leonardo Santurri
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Santurri. A scholar is included among the top collaborators of Leonardo Santurri 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 Leonardo Santurri. Leonardo Santurri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 31 | |
| 9 | 20 | |
| 10 | 20 | |
| 11 | 51 | |
| 12 | 2 | |
| 13 | 65 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | Information-Theoretic Assessment of Optical Remote-Sensing Imagery | 1 |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 1 |
About Leonardo Santurri
Leonardo Santurri is a scholar working on Media Technology, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 563 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (18 papers), Advanced Image Fusion Techniques (17 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Media Technology (284 citations), Management, Monitoring, Policy and Law (147 citations) and Computer Vision and Pattern Recognition (197 citations). Leonardo Santurri has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Stefano Baronti, Roberto Carlà, Bruno Aiazzi, Luciano Alparone, Andrea Garzelli, Massimo Selva, Federica Fiorucci, Francesca Ardizzone, Mauro Rossi and Mauro Cardinali. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Atmospheric chemistry and physics and Quarterly Journal of the Royal Meteorological Society.
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.