João Valente
- Plant Science top 5%
- Aerospace Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Ecology top 5%
- Environmental Engineering top 2%
- Co-authors
- Antonio BarrientosJaime del CerroDavid SanzLammert KooistraMar Ariza-SentísSergio VélezCláudio RossiJulian D. Colorado
- Topics
- Remote Sensing in Agriculture (28 papers)Remote Sensing and LiDAR Applications (28 papers)Smart Agriculture and AI (25 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- NetherlandsSpainChina
In The Last Decade
João Valente
82 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Plant Science 689
- Aerospace Engineering 634
- Computer Vision and Pattern Recognition 586
- Ecology 442
- Environmental Engineering 396
Countries citing papers authored by João Valente
This map shows the geographic impact of João Valente'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 João Valente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Valente more than expected).
Fields of papers citing papers by João Valente
This network shows the impact of papers produced by João Valente. 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 João Valente. The network helps show where João Valente may publish in the future.
Co-authorship network of co-authors of João Valente
This figure shows the co-authorship network connecting the top 25 collaborators of João Valente. A scholar is included among the top collaborators of João Valente 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 João Valente. João Valente is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 14 | |
| 16 | 17 | |
| 17 | 47 | |
| 18 | 1 | |
| 19 | A waypoint-based mission planner for a farmland coverage with an aerial robot - a precision farming tool | 9 |
| 20 | Techniques for Area Discretization and Coverage in Aerial Photography for Precision Agriculture employing mini quad-rotors | 3 |
About João Valente
João Valente is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (28 papers), Remote Sensing and LiDAR Applications (28 papers) and Smart Agriculture and AI (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (586 citations), Environmental Engineering (396 citations) and Aerospace Engineering (634 citations). João Valente has collaborated with scholars based in Netherlands, Spain and China. Frequent co-authors include Antonio Barrientos, Jaime del Cerro, David Sanz, Lammert Kooistra, Mar Ariza-Sentís, Sergio Vélez, Cláudio Rossi, Julian D. Colorado, A. Martínez and Saman Ghaffarian. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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.