Aurélio G. Melo

518 total citations
24 papers, 384 citations indexed

About

Aurélio G. Melo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Aurélio G. Melo has authored 24 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Aurélio G. Melo's work include Robotic Path Planning Algorithms (9 papers), Robotics and Sensor-Based Localization (9 papers) and 3D Surveying and Cultural Heritage (5 papers). Aurélio G. Melo is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Robotics and Sensor-Based Localization (9 papers) and 3D Surveying and Cultural Heritage (5 papers). Aurélio G. Melo collaborates with scholars based in Brazil, Spain and Norway. Aurélio G. Melo's co-authors include Milena F. Pinto, André Luís Marques Marcato, Leonardo de Mello Honório, Cristina Urdiales, Fabio Andrade, Diego B. Haddad, Mário A. R. Dantas, Miriam A. M. Capretz, Sérgio Zolnier and Aristides Ribeiro and has published in prestigious journals such as IEEE Access, Sensors and Journal of Intelligent & Robotic Systems.

In The Last Decade

Aurélio G. Melo

23 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurélio G. Melo Brazil 13 196 185 103 55 48 24 384
Mihir Dharmadhikari Norway 7 265 1.4× 280 1.5× 83 0.8× 46 0.8× 47 1.0× 13 400
Marco Tranzatto Switzerland 5 275 1.4× 275 1.5× 123 1.2× 43 0.8× 82 1.7× 5 504
Antun Ivanović Croatia 9 198 1.0× 211 1.1× 75 0.7× 74 1.3× 63 1.3× 24 362
Mihir Kulkarni Norway 8 185 0.9× 196 1.1× 65 0.6× 27 0.5× 39 0.8× 21 324
Dariusz Kominiak Sweden 9 209 1.1× 183 1.0× 109 1.1× 51 0.9× 45 0.9× 14 338
Ilya Afanasyev Russia 11 234 1.2× 209 1.1× 116 1.1× 19 0.3× 48 1.0× 32 407
Héctor Azpúrua Brazil 12 172 0.9× 187 1.0× 72 0.7× 28 0.5× 104 2.2× 43 373
Matěj Petrlík Czechia 12 243 1.2× 294 1.6× 73 0.7× 87 1.6× 29 0.6× 22 406
Huan Nguyen Norway 13 365 1.9× 371 2.0× 113 1.1× 71 1.3× 65 1.4× 21 533

Countries citing papers authored by Aurélio G. Melo

Since Specialization
Citations

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

Fields of papers citing papers by Aurélio G. Melo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélio G. Melo. 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 Aurélio G. Melo. The network helps show where Aurélio G. Melo may publish in the future.

Co-authorship network of co-authors of Aurélio G. Melo

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélio G. Melo. A scholar is included among the top collaborators of Aurélio G. Melo 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 Aurélio G. Melo. Aurélio G. Melo 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.
Pinto, Milena F., et al.. (2022). A novel sEMG data augmentation based on WGAN-GP. Computer Methods in Biomechanics & Biomedical Engineering. 26(9). 1008–1017. 10 indexed citations
2.
Pinto, Milena F., et al.. (2022). Dynamic Path Planning Based on Neural Networks for Aerial Inspection. Journal of Control Automation and Electrical Systems. 34(1). 85–105. 19 indexed citations
3.
Melo, Aurélio G., et al.. (2022). Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers. Sensors. 22(6). 2173–2173. 31 indexed citations
4.
Pinto, Milena F., et al.. (2022). Analysis of tennis games using TrackNet-based neural network and applying morphological operations to the match videos. Signal Image and Video Processing. 17(4). 1133–1141. 3 indexed citations
5.
Pinto, Milena F., et al.. (2022). Visual-based Assistive Method for UAV Power Line Inspection and Landing. Journal of Intelligent & Robotic Systems. 106(2). 12 indexed citations
6.
Melo, Aurélio G., et al.. (2022). Experimentation and Simulation with Autonomous Coverage Path Planning for UAVs. Journal of Intelligent & Robotic Systems. 105(2). 5 indexed citations
7.
Andrade, Fabio, et al.. (2021). Unmanned Aerial Vehicles Motion Control with Fuzzy Tuning of Cascaded-PID Gains. Machines. 10(1). 12–12. 23 indexed citations
8.
Melo, Aurélio G., et al.. (2021). Dynamic Optimization and Heuristics Based Online Coverage Path Planning in 3D Environment for UAVs. Sensors. 21(4). 1108–1108. 38 indexed citations
9.
Pinto, Milena F., et al.. (2021). A Framework for Coverage Path Planning Optimization Based on Point Cloud for Structural Inspection. Sensors. 21(2). 570–570. 37 indexed citations
10.
Melo, Aurélio G., et al.. (2021). Low-cost Trajectory-Based Ball Detection for Impact Indication and Recording. Journal of Control Automation and Electrical Systems. 32(2). 367–377. 8 indexed citations
11.
Pinto, Milena F., et al.. (2021). Hybrid PID-Fuzzy controller for autonomous UAV stabilization. 1296–1302. 8 indexed citations
12.
Graca, U. De Freitas Carneiro Da, et al.. (2021). An Economic Evaluation of an Intelligent Street Lighting System for Smart Cities Context and Applications. 6. 1340–1345. 1 indexed citations
13.
Pinto, Milena F., et al.. (2020). Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data. Sensors. 20(21). 6187–6187. 8 indexed citations
14.
Pinto, Milena F., Leonardo de Mello Honório, Aurélio G. Melo, & André Luís Marques Marcato. (2020). A Robotic Cognitive Architecture for Slope and Dam Inspections. Sensors. 20(16). 4579–4579. 31 indexed citations
15.
Pinto, Milena F., et al.. (2020). Aerial Human Activity Recognition Through a Cognitive Architecture and a New Automata Proposal. 18(1). 4–14. 2 indexed citations
16.
17.
Melo, Aurélio G., et al.. (2020). 3D Correspondence and Point Projection Method for Structures Deformation Analysis. IEEE Access. 8. 177823–177836. 26 indexed citations
18.
Pinto, Milena F., André Luís Marques Marcato, Aurélio G. Melo, Leonardo de Mello Honório, & Cristina Urdiales. (2019). A Framework for Analyzing Fog-Cloud Computing Cooperation Applied to Information Processing of UAVs. Wireless Communications and Mobile Computing. 2019. 1–14. 45 indexed citations
19.
Melo, Aurélio G., et al.. (2017). <b>Development of a closed and open loop solar tracker technology. Acta Scientiarum. Technology. 39(2). 177–177. 12 indexed citations
20.
Pinto, Milena F., Aurélio G. Melo, André Luís Marques Marcato, & Cristina Urdiales. (2017). Case-based reasoning approach applied to surveillance system using an autonomous unmanned aerial vehicle. 1324–1329. 24 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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