Juan Sandino
- Ecology top 10%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Plant Science
- Environmental Engineering top 10%
- Co-authors
- Felipé GonzalezFernando VanegasGrant R. SmithGeoff S. PeggFrédéric MairePeter CaccettaConrad SandersonA. Narmilan
- Topics
- Robotics and Sensor-Based Localization (12 papers)Robotic Path Planning Algorithms (11 papers)Remote Sensing in Agriculture (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- AustraliaUnited StatesSri Lanka
In The Last Decade
Juan Sandino
30 papers receiving 448 citations
Peers
Comparison fields: 5 of 75
- Ecology 162
- Aerospace Engineering 151
- Computer Vision and Pattern Recognition 144
- Plant Science 137
- Environmental Engineering 92
Countries citing papers authored by Juan Sandino
This map shows the geographic impact of Juan Sandino'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 Juan Sandino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Sandino more than expected).
Fields of papers citing papers by Juan Sandino
This network shows the impact of papers produced by Juan Sandino. 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 Juan Sandino. The network helps show where Juan Sandino may publish in the future.
Co-authorship network of co-authors of Juan Sandino
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Sandino. A scholar is included among the top collaborators of Juan Sandino 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 Juan Sandino. Juan Sandino 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 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 35 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 21 | |
| 14 | 46 | |
| 15 | 21 | |
| 16 | Phylloxera: Improving pest surveillance in vineyards through drones, hyperspectral and spatial data | 0 |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 8 |
About Juan Sandino
Juan Sandino is a scholar working on Ecological Modeling, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 34 papers that have together received 464 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (11 papers) and Remote Sensing in Agriculture (9 papers). The work is most often cited by research in Ecological Modeling (41 citations), Computer Vision and Pattern Recognition (144 citations) and Environmental Engineering (92 citations). Juan Sandino has collaborated with scholars based in Australia, United States and Sri Lanka. Frequent co-authors include Felipé Gonzalez, Fernando Vanegas, Grant R. Smith, Geoff S. Pegg, Frédéric Maire, Peter Caccetta, Conrad Sanderson, A. Narmilan, Kerrie Mengersen and Kevin J. Gaston. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.