Joaquim J. Sousa

5.0k total citations · 2 hit papers
170 papers, 3.5k citations indexed

About

Joaquim J. Sousa is a scholar working on Environmental Engineering, Aerospace Engineering and Ecology. According to data from OpenAlex, Joaquim J. Sousa has authored 170 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Environmental Engineering, 58 papers in Aerospace Engineering and 55 papers in Ecology. Recurrent topics in Joaquim J. Sousa's work include Remote Sensing and LiDAR Applications (53 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (53 papers) and Remote Sensing in Agriculture (49 papers). Joaquim J. Sousa is often cited by papers focused on Remote Sensing and LiDAR Applications (53 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (53 papers) and Remote Sensing in Agriculture (49 papers). Joaquim J. Sousa collaborates with scholars based in Portugal, Spain and Slovakia. Joaquim J. Sousa's co-authors include Luís Pádua, Emanuel Peres, Raul Morais, Telmo Adão, Jonáš Hruška, José Bessa, Pedro Marques, António Sousa, Antonio Miguel Ruiz-Armenteros and L. Bastos and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Joaquim J. Sousa

156 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry

2017 933 citations Telmo Adão, Jonáš Hruška et al. Remote Sensing profile →
Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

2020 190 citations Luís Pádua, Pedro Marques et al. Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Joaquim J. Sousa Portugal	27	1.3k	1.2k	1.0k	879	418	170	3.5k
José Marcato Brazil	32	1.4k 1.0×	1.3k 1.2×	932 0.9×	262 0.3×	496 1.2×	152	3.5k
Wesley Nunes Gonçalves Brazil	30	1.2k 0.9×	1.0k 0.9×	1.1k 1.1×	140 0.2×	397 0.9×	121	3.3k
John M. Kovacs Canada	30	3.0k 2.2×	1.1k 1.0×	1.1k 1.1×	483 0.5×	1.0k 2.4×	55	4.3k
Francisco Agüera-Vega Spain	26	665 0.5×	1.5k 1.3×	305 0.3×	404 0.5×	424 1.0×	57	2.5k
Saeid Homayouni Canada	33	1.6k 1.2×	1.4k 1.2×	397 0.4×	551 0.6×	1.3k 3.1×	197	4.6k
Harm Bartholomeus Netherlands	42	2.3k 1.7×	3.7k 3.2×	950 0.9×	183 0.2×	1.0k 2.4×	122	5.8k
Francisca López Granados Spain	40	3.3k 2.4×	2.4k 2.1×	3.1k 3.1×	294 0.3×	835 2.0×	120	5.7k
Bo Xu China	29	1.8k 1.3×	1.4k 1.2×	1.7k 1.7×	240 0.3×	387 0.9×	158	3.7k
Guido Lemoine Italy	24	942 0.7×	1.6k 1.4×	266 0.3×	589 0.7×	893 2.1×	68	3.4k
Stefan Hinz Germany	33	833 0.6×	2.2k 1.9×	163 0.2×	1.3k 1.5×	412 1.0×	233	5.5k

Countries citing papers authored by Joaquim J. Sousa

Since Specialization

Citations

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

Fields of papers citing papers by Joaquim J. Sousa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joaquim J. Sousa

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquim J. Sousa. A scholar is included among the top collaborators of Joaquim J. 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 Joaquim J. Sousa. Joaquim J. 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

Sousa, Joaquim J., et al.. (2025). The potential of thermal imaging to assist winemakers in the detection of downy mildew in Vitis vinifera cv Loureiro. Procedia Computer Science. 256. 78–85. 1 indexed citations

Papčo, Juraj, et al.. (2024). Satellite-based InSAR Geodesy and Collocation with GNSS. Procedia Computer Science. 239. 2329–2340.

Ogáyar, Carlos J., et al.. (2024). Classification of Grapevine Varieties Using UAV Hyperspectral Imaging. Remote Sensing. 16(12). 2103–2103. 5 indexed citations

Pádua, Luís, et al.. (2024). Versatile method for grapevine row detection in challenging vineyard terrains using aerial imagery. Computers and Electronics in Agriculture. 226. 109372–109372. 1 indexed citations

Sousa, Joaquim J., et al.. (2024). A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection. Sensors. 24(24). 8172–8172. 6 indexed citations

Cunha, A., et al.. (2024). Deep Learning for Automatic Grapevine Varieties Identification: A Brief Review. Preprints.org. 1 indexed citations

Sousa, Joaquim J., Guang Liu, Jinghui Fan, et al.. (2023). Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage. Geo-spatial Information Science. 27(3). 552–571. 9 indexed citations

Morais, Raul, et al.. (2023). Evaluating YOLO Models for Grape Moth Detection in Insect Traps. 3526–3529. 1 indexed citations

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

10.

Morais, Raul, et al.. (2023). A Systematic Review on Automatic Insect Detection Using Deep Learning. Agriculture. 13(3). 713–713. 50 indexed citations

11.

Pádua, Luís, Sara Bernardo, Lia‐Tânia Dinis, et al.. (2022). The Efficiency of Foliar Kaolin Spray Assessed through UAV-Based Thermal Infrared Imagery. Remote Sensing. 14(16). 4019–4019. 7 indexed citations

12.

Sousa, Joaquim J., Piero Toscano, Alessandro Matese, et al.. (2022). UAV-Based Hyperspectral Monitoring Using Push-Broom and Snapshot Sensors: A Multisite Assessment for Precision Viticulture Applications. Sensors. 22(17). 6574–6574. 36 indexed citations

13.

Jurado, Juan M., et al.. (2021). An efficient method for acquisition of spectral BRDFs in real-world scenarios. Computers & Graphics. 102. 154–163. 8 indexed citations

14.

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

15.

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

16.

Pádua, Luís, Pedro Marques, Jonáš Hruška, et al.. (2018). Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery. Remote Sensing. 10(12). 1907–1907. 62 indexed citations

17.

Ruiz-Armenteros, Antonio Miguel, Joaquim J. Sousa, José Manuel Delgado‐López, Matúš Bakoň, & Milan Lazecký. (2016). Satellite Radar Interferometry (InSAR): an effective technique for deformation monitoring in geomatics engineering. 36(174). 157–168. 1 indexed citations

18.

Castro, João Paulo, et al.. (2015). Chestnut health monitoring by aerial photographs obtained by unnamed aerial vehicle.. Biblioteca Digital do IPB (Instituto Politecnico De Braganca). 38(2). 184–190. 5 indexed citations

19.

Ruiz-Armenteros, Antonio Miguel, et al.. (2015). Deformation monitoring in Zafarraya Fault and Sierra Tejeda Antiform (Betic Cordillera, Spain) using satellite radar interferometry. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2 indexed citations

20.

Sousa, Joaquim J., et al.. (2009). Comparative Study of Two Different PS-INSAR Approaches: DEPSI vs. STAMPS. ESASP. 677. 72. 9 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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