Stefano Baronti
- Media Technology top 0.01%
- Computer Vision and Pattern Recognition top 0.1%
- Aerospace Engineering top 1%
- Biomedical Engineering top 5%
- Ecology top 5%
- Co-authors
- Bruno AiazziLuciano AlparoneAndrea GarzelliMassimo SelvaFilippo NenciniF. LottiLeonardo SanturriRoberto Carlà
- Topics
- Image and Signal Denoising Methods (107 papers)Advanced Image Fusion Techniques (100 papers)Remote-Sensing Image Classification (91 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Stefano Baronti
175 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Media Technology 6.6k
- Computer Vision and Pattern Recognition 5.1k
- Aerospace Engineering 830
- Biomedical Engineering 598
- Ecology 540
Countries citing papers authored by Stefano Baronti
This map shows the geographic impact of Stefano Baronti'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 Stefano Baronti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Baronti more than expected).
Fields of papers citing papers by Stefano Baronti
This network shows the impact of papers produced by Stefano Baronti. 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 Stefano Baronti. The network helps show where Stefano Baronti may publish in the future.
Co-authorship network of co-authors of Stefano Baronti
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Baronti. A scholar is included among the top collaborators of Stefano Baronti 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 Stefano Baronti. Stefano Baronti 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 | 1 | |
| 3 | 4 | |
| 4 | 31 | |
| 5 | 20 | |
| 6 | 51 | |
| 7 | 65 | |
| 8 | 1 | |
| 9 | Hyperspectral image fusion | 6 |
| 10 | 49 | |
| 11 | 9 | |
| 12 | Fusion of Multispectral and SAR images by Intensity Modulation | 34 |
| 13 | Information-Theoretic Assessment of Optical Remote-Sensing Imagery | 1 |
| 14 | 52 | |
| 15 | 3 | |
| 16 | 116 | |
| 17 | Pan-sharpening of very high-resolution multispectral images via generalised Laplacian pyramid fusion | 1 |
| 18 | 3 | |
| 19 | 36 | |
| 20 | 0 |
About Stefano Baronti
Stefano Baronti is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Conservation, having authored 183 papers that have together received 7.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (107 papers), Advanced Image Fusion Techniques (100 papers) and Remote-Sensing Image Classification (91 papers). The work is most often cited by research in Media Technology (6.6k citations), Computer Vision and Pattern Recognition (5.1k citations) and Aerospace Engineering (830 citations). Stefano Baronti has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Bruno Aiazzi, Luciano Alparone, Andrea Garzelli, Massimo Selva, Filippo Nencini, F. Lotti, Leonardo Santurri, Roberto Carlà, Andrea Casini and Thierry Ranchin. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.