Massimo Selva
- Media Technology top 0.05%
- Advanced Image Fusion Techniques 33
- Remote-Sensing Image Classification 32
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- Image and Signal Denoising Methods 19
- Advanced Data Compression Techniques 8
- Image Enhancement Techniques 3
- Ecology top 10%
- Remote Sensing in Agriculture 6
- Aerospace Engineering top 5%
- Infrared Target Detection Methodologies 6
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- Optical and Acousto-Optic Technologies 2
Massimo Selva
44 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Media Technology 3.3k
- Computer Vision and Pattern Recognition 2.4k
- Computational Mathematics 7
- Ecology 257
- Aerospace Engineering 243
Countries citing papers authored by Massimo Selva
This map shows the geographic impact of Massimo Selva'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 Massimo Selva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Selva more than expected).
Fields of papers citing papers by Massimo Selva
This network shows the impact of papers produced by Massimo Selva. 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 Massimo Selva. The network helps show where Massimo Selva may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Massimo Selva, 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 | 2019 | 4 | |
| 2 | 2018 | 31 | |
| 3 | 2018 | 20 | |
| 4 | 2018 | 1 | |
| 5 | 2014 | 5 | |
| 6 | 2013 | 68 | |
| 7 | 2013 | 1 | |
| 8 | 2011 | 107 | |
| 9 | 2011 | 11 | |
| 10 | 2010 | 1 | |
| 11 | Hyperspectral image fusion | 2010 | 6 |
| 12 | 2009 | 165 | |
| 13 | Multispectral and Panchromatic Data Fusion Assessment Without Referencebreakdown → | 2008 | 685 |
| 14 | 2006 | 49 | |
| 15 | 2006 | 50 | |
| 16 | SPATIAL ENHANCEMENT OF TIR ASTER DATA VIA VNIR IMAGES AND GENERALIZED LAPLACIAN DECOMPOSITION | 2005 | 4 |
| 17 | Information-Theoretic Assessment of Optical Remote-Sensing Imagery | 2004 | 1 |
| 18 | 2004 | 2 | |
| 19 | 2003 | 116 | |
| 20 | 2003 | 5 |
About Massimo Selva
Massimo Selva is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Theoretical Computer Science, Aerospace Engineering and Ecology, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (33 papers), Remote-Sensing Image Classification (32 papers), Image and Signal Denoising Methods (19 papers), Advanced Data Compression Techniques (8 papers), Infrared Target Detection Methodologies (6 papers), Remote Sensing in Agriculture (6 papers), Image Enhancement Techniques (3 papers) and Optical and Acousto-Optic Technologies (2 papers). The work is most often cited by research in Media Technology (3.3k citations), Computer Vision and Pattern Recognition (2.4k citations), Computational Mathematics (7 citations), Ecology (257 citations) and Aerospace Engineering (243 citations). Massimo Selva has collaborated with scholars based in Italy, India and Spain. Frequent co-authors include Stefano Baronti, Bruno Aiazzi, Luciano Alparone, Andrea Garzelli, Filippo Nencini, Francesco Butera, Leandro Chiarantini, F. Lotti, Leonardo Santurri and Ivan Pippi. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Remote Sensing, Photogrammetric Engineering & Remote Sensing, IEEE Journal of Selected Topics in Signal Processing and IEEE Journal of Selected Topics in Applied Earth Observations and 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.