Raul Morais

4.7k total citations · 1 hit paper
127 papers, 3.3k citations indexed

About

Raul Morais is a scholar working on Plant Science, Electrical and Electronic Engineering and Ecology. According to data from OpenAlex, Raul Morais has authored 127 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 28 papers in Electrical and Electronic Engineering and 24 papers in Ecology. Recurrent topics in Raul Morais's work include Smart Agriculture and AI (35 papers), Horticultural and Viticultural Research (24 papers) and Remote Sensing in Agriculture (23 papers). Raul Morais is often cited by papers focused on Smart Agriculture and AI (35 papers), Horticultural and Viticultural Research (24 papers) and Remote Sensing in Agriculture (23 papers). Raul Morais collaborates with scholars based in Portugal, Spain and Norway. Raul Morais's co-authors include Emanuel Peres, Joaquim J. Sousa, Luís Pádua, Telmo Adão, Jonáš Hruška, José Bessa, Manuel J. C. S. Reis, António Valente, Paulo J. S. G. Ferreira and Carlos Serôdio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Atmospheric Environment.

In The Last Decade

Raul Morais

119 papers receiving 3.1k citations

Hit Papers

Hyperspectral Imaging: A Review on UAV-Based Sensors, Dat... 2017 2026 2020 2023 2017 250 500 750
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.

  1. 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 →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raul Morais Portugal 27 1.3k 932 682 462 330 127 3.3k
J. Senthilnath Singapore 28 557 0.4× 1.1k 1.2× 729 1.1× 262 0.6× 365 1.1× 111 3.5k
Zhiguo Cao China 42 1.3k 1.0× 871 0.9× 484 0.7× 319 0.7× 708 2.1× 284 5.4k
Gonzalo Pájares Spain 36 2.1k 1.6× 1.2k 1.2× 788 1.2× 339 0.7× 1.3k 4.0× 134 6.0k
Jinya Su United Kingdom 33 832 0.7× 603 0.6× 289 0.4× 229 0.5× 133 0.4× 91 3.1k
Paheding Sidike United States 21 1.2k 1.0× 1.7k 1.9× 1.2k 1.8× 163 0.4× 426 1.3× 53 4.2k
Lei Tian United States 25 917 0.7× 708 0.8× 493 0.7× 205 0.4× 114 0.3× 98 2.3k
Bo Xu China 29 1.7k 1.3× 1.8k 1.9× 1.4k 2.0× 144 0.3× 235 0.7× 158 3.7k
Fernando Auat Cheein Chile 28 1.1k 0.9× 358 0.4× 425 0.6× 351 0.8× 82 0.2× 171 3.2k
Jinfei Wang Canada 36 602 0.5× 1.5k 1.6× 1.9k 2.7× 332 0.7× 571 1.7× 218 4.8k
E.J. van Henten Netherlands 38 4.1k 3.2× 493 0.5× 419 0.6× 270 0.6× 89 0.3× 201 5.4k

Countries citing papers authored by Raul Morais

Since Specialization
Citations

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

Fields of papers citing papers by Raul Morais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raul Morais

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

All Works

20 of 20 papers shown
1.
Sousa, Joaquim J., et al.. (2025). Monitoring the Progression of Downy Mildew on Vineyards Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Data. Agronomy. 15(4). 934–934. 2 indexed citations
2.
Silva, Manuel F., et al.. (2025). A review of advanced controller methodologies for robotic manipulators. International Journal of Dynamics and Control. 13(1). 6 indexed citations
3.
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
4.
Silva, Nuno, et al.. (2024). A technical survey on practical applications and guidelines for IoT sensors in precision agriculture and viticulture. Scientific Reports. 14(1). 29793–29793. 13 indexed citations
5.
Morais, Raul, et al.. (2024). Comparative Analysis of CNNs and Vision Transformers for Automatic Classification of Abandonment in Douro’s Vineyard Parcels. Remote Sensing. 16(23). 4581–4581. 2 indexed citations
6.
Adão, Telmo, et al.. (2024). Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting. Algorithms. 17(3). 106–106. 8 indexed citations
7.
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
8.
Bakoň, Matúš, Luís Pádua, Raul Morais, et al.. (2024). Synthetic Aperture Radar in Vineyard Monitoring: Examples, Demonstrations, and Future Perspectives. Remote Sensing. 16(12). 2106–2106. 3 indexed citations
9.
Pádua, Luís, Pedro Marques, Lia‐Tânia Dinis, et al.. (2024). Detection of Leak Areas in Vineyard Irrigation Systems Using UAV-Based Data. Drones. 8(5). 187–187. 4 indexed citations
10.
Morais, Raul, et al.. (2023). Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review. Agriculture. 13(5). 965–965. 31 indexed citations
11.
Morais, Raul, et al.. (2023). Evaluating YOLO Models for Grape Moth Detection in Insect Traps. 3526–3529. 1 indexed citations
12.
Mendes, Jorge, Emanuel Peres, Filipe Neves dos Santos, et al.. (2022). VineInspector: The Vineyard Assistant. Agriculture. 12(5). 730–730. 13 indexed citations
13.
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
14.
Pavón, N., et al.. (2021). Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management. Sensors. 22(1). 228–228. 13 indexed citations
15.
Mendes, Jorge, Tatiana M. Pinho, Filipe Neves dos Santos, et al.. (2020). Smartphone Applications Targeting Precision Agriculture Practices—A Systematic Review. Agronomy. 10(6). 855–855. 74 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.
Mendes, Jorge, et al.. (2018). Localization Based on Natural Features Detector for Steep Slope Vineyards. Journal of Intelligent & Robotic Systems. 93(3-4). 433–446. 19 indexed citations
18.
Pádua, Luís, Jonáš Hruška, Telmo Adão, et al.. (2017). UAS, sensors, and data processing in agroforestry: a review towards practical applications. International Journal of Remote Sensing. 38(8-10). 2349–2391. 260 indexed citations
19.
20.
Morais, Raul, et al.. (2010). A sub-µ W conductance converter for bioimplantable devices. 1. 236–240.

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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