Leonardo S. Bins
- Media Technology top 2%
- Remote-Sensing Image Classification 3
- Environmental Engineering top 10%
- Soil Moisture and Remote Sensing 5
- Remote Sensing and LiDAR Applications 3
- Soil Geostatistics and Mapping 3
- Ecology top 10%
- Atmospheric Science top 10%
- Cryospheric studies and observations 3
- Aerospace Engineering top 10%
- Synthetic Aperture Radar (SAR) Applications and Techniques 8
- Advanced SAR Imaging Techniques 3
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- Geography and Environmental Studies 1
- Co-authors
- Ilka Afonso ReisAntônio Miguel Vieira MonteiroGiovana Mira de EspíndolaGilberto CâmaraÊnio Bueno PereiraHugo E. Hernández‐FigueroaLucas H. GabrielliBárbara Teruel
- Journals
- Sensors (1 paper)International Journal of Remote Sensing (1 paper)Remote Sensing (4 papers)
- Partner nations
- BrazilUnited Arab Emirates
In The Last Decade
Leonardo S. Bins
16 papers receiving 547 citations
Peers
Comparison fields: 5 of 67
- Media Technology 219
- Environmental Engineering 107
- Ecology 173
- Atmospheric Science 108
- Aerospace Engineering 146
Countries citing papers authored by Leonardo S. Bins
This map shows the geographic impact of Leonardo S. Bins'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 S. Bins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo S. Bins more than expected).
Fields of papers citing papers by Leonardo S. Bins
This network shows the impact of papers produced by Leonardo S. Bins. 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 S. Bins. The network helps show where Leonardo S. Bins may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Leonardo S. Bins, 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 | 2022 | 11 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 40 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 36 | |
| 9 | 2019 | 40 | |
| 10 | 2019 | 6 | |
| 11 | 2016 | 21 | |
| 12 | 2006 | 113 | |
| 13 | 2006 | 262 | |
| 14 | 2002 | 7 | |
| 15 | Multitemporal TM image analysis to assess the spatial and temporal dispersion of floating macrophytes in Brazilian hydroelectric reservoirs | 1998 | 1 |
| 16 | 1997 | 3 |
About Leonardo S. Bins
Leonardo S. Bins is a scholar working on Environmental Engineering, Aerospace Engineering and Media Technology, having authored 16 papers that have together received 572 indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Soil Moisture and Remote Sensing (5 papers), Advanced SAR Imaging Techniques (3 papers), Cryospheric studies and observations (3 papers), Remote Sensing and LiDAR Applications (3 papers), Soil Geostatistics and Mapping (3 papers), Remote-Sensing Image Classification (3 papers) and Geography and Environmental Studies (1 paper). The work is most often cited by research in Media Technology (219 citations), Environmental Engineering (107 citations) and Ecology (173 citations). Leonardo S. Bins has collaborated with scholars based in Brazil and United Arab Emirates. Frequent co-authors include Ilka Afonso Reis, Antônio Miguel Vieira Monteiro, Giovana Mira de Espíndola, Gilberto Câmara, Ênio Bueno Pereira, Hugo E. Hernández‐Figueroa, Lucas H. Gabrielli, Bárbara Teruel, Marlon F. Alcantara and Christian Wimmer. Their work appears in journals such as Sensors, International Journal of Remote Sensing 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.