António Sousa

847 total citations
34 papers, 629 citations indexed

About

António Sousa is a scholar working on Environmental Engineering, Ecology and Plant Science. According to data from OpenAlex, António Sousa has authored 34 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 14 papers in Ecology and 10 papers in Plant Science. Recurrent topics in António Sousa's work include Remote Sensing and LiDAR Applications (16 papers), Remote Sensing in Agriculture (13 papers) and Horticultural and Viticultural Research (9 papers). António Sousa is often cited by papers focused on Remote Sensing and LiDAR Applications (16 papers), Remote Sensing in Agriculture (13 papers) and Horticultural and Viticultural Research (9 papers). António Sousa collaborates with scholars based in Portugal, Spain and Czechia. António Sousa's co-authors include Joaquim J. Sousa, Emanuel Peres, Luís Pádua, Telmo Adão, Pedro Marques, Vítor Filipe, Jonáš Hruška, Nathalie Guimarães, José Xavier and J.J.L. Morais and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and International Journal of Remote Sensing.

In The Last Decade

António Sousa

33 papers receiving 616 citations

Peers

António Sousa

ECOLO

GPC

CVPR

J. He China

Matt Olson Canada

Shuo Liu China

Zhou Rong China

Sören Pirk United States

Mingze Li China

Xiongzhe Han South Korea

Feilong Yan China

Vito Renò Italy

Juan M. Jurado Spain

J. He China

António Sousa

534 ×1.9

ECOLO

334 ×1.3

354 ×1.8

134 ×1.5

GPC

72 ×0.9

CVPR

Citations per year, relative to António Sousa António Sousa (= 1×) peers J. He

Countries citing papers authored by António Sousa

Since Specialization

Citations

This map shows the geographic impact of António Sousa'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 António Sousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites António Sousa more than expected).

Fields of papers citing papers by António Sousa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by António Sousa. 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 António Sousa. The network helps show where António Sousa may publish in the future.

Co-authorship network of co-authors of António Sousa

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

All Works

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20 of 20 papers shown

Pádua, Luís, et al.. (2023). Exploratory approach for automatic detection of vine rows in terrace vineyards. Procedia Computer Science. 219. 139–144. 2 indexed citations

Pinto, Jorge, António Sousa, Joaquim J. Sousa, Emanuel Peres, & Luís Pádua. (2023). Acacia dealbata classification from aerial imagery acquired using unmanned aerial vehicles. Procedia Computer Science. 219. 626–633. 1 indexed citations

Cunha, A., et al.. (2022). Deep Learning Approach for Terrace Vineyards Detection from Google Earth Satellite Imagery. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 1 indexed citations

Pádua, Luís, Telmo Adão, António Sousa, Emanuel Peres, & Joaquim J. Sousa. (2020). Individual Grapevine Analysis in a Multi-Temporal Context Using UAV-Based Multi-Sensor Imagery. Remote Sensing. 12(1). 139–139. 41 indexed citations

Pádua, Luís, et al.. (2020). Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data. Remote Sensing. 12(18). 3032–3032. 26 indexed citations

Pádua, Luís, Jonáš Hruška, Telmo Adão, et al.. (2020). Digital Reconstitution of Road Traffic Accidents: A Flexible Methodology Relying on UAV Surveying and Complementary Strategies to Support Multiple Scenarios. International Journal of Environmental Research and Public Health. 17(6). 1868–1868. 16 indexed citations

Pádua, Luís, Nathalie Guimarães, Telmo Adão, et al.. (2020). Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery. ISPRS International Journal of Geo-Information. 9(4). 225–225. 37 indexed citations

Marques, Pedro, Luís Pádua, Telmo Adão, et al.. (2019). UAV-Based Automatic Detection and Monitoring of Chestnut Trees. Remote Sensing. 11(7). 855–855. 69 indexed citations

Pádua, Luís, Pedro Marques, Telmo Adão, et al.. (2019). Vineyard Variability Analysis through UAV-Based Vigour Maps to Assess Climate Change Impacts. Agronomy. 9(10). 581–581. 55 indexed citations

10.

Pádua, Luís, Pedro Marques, Jonáš Hruška, et al.. (2018). Vineyard properties extraction combining UAS-based RGB imagery with elevation data. International Journal of Remote Sensing. 39(15-16). 5377–5401. 39 indexed citations

11.

Pádua, Luís, Pedro Marques, Telmo Adão, et al.. (2018). UAS-based imagery and photogrammetric processing for tree height and crown diameter extraction. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 87–91. 10 indexed citations

12.

Adão, Telmo, Luís Pádua, Jonáš Hruška, et al.. (2018). A pilot digital image processing approach for detecting vineyard parcels in Douro region through high-resolution aerial imagery. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 67–71. 1 indexed citations

13.

Hruška, Jonáš, Telmo Adão, Luís Pádua, et al.. (2018). Deep Learning-Based Methodological Approach for Vineyard Early Disease Detection Using Hyperspectral Data. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 9063–9066. 9 indexed citations

14.

Pádua, Luís, Telmo Adão, Jonáš Hruška, et al.. (2017). Very high resolution aerial data to support multi-temporal precision agriculture information management. Procedia Computer Science. 121. 407–414. 23 indexed citations

15.

Silva, Nuno, Joaquim J. Sousa, Emanuel Peres, et al.. (2017). A cost-effective instrumented walkway for measuring ground reaction forces in rats to assess gait pattern. Measurement. 103. 241–249. 2 indexed citations

16.

Diego-Castilla, Graciela de, et al.. (2016). Integration of an Optical Ring Resonator Biosensor into a Self-Contained Microfluidic Cartridge with Active, Single-Shot Micropumps. Micromachines. 7(9). 153–153. 18 indexed citations

17.

Sousa, Joaquim J., et al.. (2013). viStaMPS: The Application For Viewing And Manipulating StaMPS Results. 722. 354. 1 indexed citations

18.

Sousa, António, José Xavier, J.J.L. Morais, Vítor Filipe, & Mário Vaz. (2011). Processing discontinuous displacement fields by a spatio-temporal derivative technique. Optics and Lasers in Engineering. 49(12). 1402–1412. 37 indexed citations

19.

Sousa, António, José Xavier, Mário Vaz, J.J.L. Morais, & Vítor Filipe. (2010). Cross‐Correlation and Differential Technique Combination to Determine Displacement Fields. Strain. 47(s2). 87–98. 32 indexed citations

20.

Babić, Ankica, et al.. (2005). The INFOGENMED project : A Biomedical informatics approach to integrate heterogeneous biological and clinical information. UPM Digital Archive (Technical University of Madrid). 60. 1 indexed citations

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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