Leonardo S. Bins

796 total citations
16 papers, 572 citations indexed

About

Leonardo S. Bins is a scholar working on Aerospace Engineering, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonardo S. Bins has authored 16 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aerospace Engineering, 8 papers in Environmental Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leonardo S. Bins's work include Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Soil Moisture and Remote Sensing (5 papers) and Advanced SAR Imaging Techniques (3 papers). Leonardo S. Bins is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Soil Moisture and Remote Sensing (5 papers) and Advanced SAR Imaging Techniques (3 papers). Leonardo S. Bins collaborates with scholars based in Brazil and United Arab Emirates. Leonardo S. Bins's 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 and has published in prestigious journals such as Sensors, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Leonardo S. Bins

16 papers receiving 547 citations

Peers

Leonardo S. Bins
Comparison fields: 5 of 67
  • Media Technology 219
  • Ecology 173
  • Aerospace Engineering 146
  • Global and Planetary Change 121
  • Atmospheric Science 108
Replace Xiaolong Dai with:
Xiaolong Dai United States
Anand Vetrivel Netherlands
Shucheng You China
Reza Shah–Hosseini Iran
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Farzaneh Dadrass Javan Iran
Thorsten Hoeser Germany
Huifu Zhuang China
Weili Jiao China
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Citations per field, relative to Leonardo S. Bins
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Citations per year, relative to Leonardo S. Bins
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Countries citing papers authored by Leonardo S. Bins

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Leonardo S. Bins

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo S. Bins. A scholar is included among the top collaborators of Leonardo S. Bins 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 S. Bins. Leonardo S. Bins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 11
2 3
3 8
4 1
5 4
6 40
7 16
8 36
9 40
10 6
11 21
12 113
13 262
14 7
15
Multitemporal TM image analysis to assess the spatial and temporal dispersion of floating macrophytes in Brazilian hydroelectric reservoirs
1
16 3

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.

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