Mario De Oliveira

735 total citations
30 papers, 486 citations indexed

About

Mario De Oliveira is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Mario De Oliveira has authored 30 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 13 papers in Mechanics of Materials and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Mario De Oliveira's work include Structural Health Monitoring Techniques (13 papers), Ultrasonics and Acoustic Wave Propagation (12 papers) and Non-Destructive Testing Techniques (6 papers). Mario De Oliveira is often cited by papers focused on Structural Health Monitoring Techniques (13 papers), Ultrasonics and Acoustic Wave Propagation (12 papers) and Non-Destructive Testing Techniques (6 papers). Mario De Oliveira collaborates with scholars based in Brazil, United Kingdom and United States. Mario De Oliveira's co-authors include Jozué Vieira Filho, André Monteiro, Daniel J. Inman, Waheb A. Jabbar, Wenyan Wu, Jayantha Epaarachchi‎, Donato Perfetto, Alessandro De Luca, Vicente Lopes and Ricardo C. L. F. Oliveira and has published in prestigious journals such as Expert Systems with Applications, Sensors and Applied Soft Computing.

In The Last Decade

Mario De Oliveira

28 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario De Oliveira Brazil 12 208 172 121 89 66 30 486
Peng Ge China 10 186 0.9× 146 0.8× 103 0.9× 46 0.5× 39 0.6× 41 409
Shanyue Guan China 14 137 0.7× 134 0.8× 159 1.3× 84 0.9× 25 0.4× 38 704
Ashraf O. Nassef Egypt 14 276 1.3× 81 0.5× 175 1.4× 32 0.4× 83 1.3× 62 684
Biao He China 12 184 0.9× 82 0.5× 76 0.6× 57 0.6× 57 0.9× 32 475
Laura Fabbiano Italy 11 82 0.4× 69 0.4× 58 0.5× 79 0.9× 51 0.8× 63 413
José Antonio Lozano-Galant Spain 21 759 3.6× 98 0.6× 208 1.7× 92 1.0× 68 1.0× 86 1.1k
Przemysław Kołakowski Poland 14 309 1.5× 124 0.7× 168 1.4× 50 0.6× 27 0.4× 29 428
Chen Yin China 12 531 2.6× 82 0.5× 236 2.0× 109 1.2× 135 2.0× 45 1.0k
Xuefei Li China 16 209 1.0× 88 0.5× 369 3.0× 65 0.7× 107 1.6× 59 747

Countries citing papers authored by Mario De Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Mario De Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario De Oliveira. 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 Mario De Oliveira. The network helps show where Mario De Oliveira may publish in the future.

Co-authorship network of co-authors of Mario De Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Mario De Oliveira. A scholar is included among the top collaborators of Mario De Oliveira 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 Mario De Oliveira. Mario De Oliveira 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.
2.
Oliveira, Mario De, et al.. (2025). WaveCORAL-DCCA: A Scalable Solution for Rotor Fault Diagnosis Across Operational Variabilities. Electronics. 14(15). 3146–3146. 2 indexed citations
3.
Dhundhara, Sandeep, et al.. (2025). Two-stage microgrid resilience and battery life-aware planning and operation for cyclone prone areas in India. Sustainable Cities and Society. 124. 106290–106290. 2 indexed citations
4.
Jabbar, Waheb A., et al.. (2025). A transfer learning approach for mitigating temperature effects on wind turbine blades damage diagnosis. Structural Health Monitoring. 15 indexed citations
5.
Santos, Leonardo Nazário Silva dos, et al.. (2024). Performance Analysis of YOLO and Detectron2 Models for Detecting Corn and Soybean Pests Employing Customized Dataset. Agronomy. 14(10). 2194–2194. 5 indexed citations
6.
Filho, Jozué Vieira, et al.. (2024). Structural Damage Detection Using PZT Transmission Line Circuit Model. Sensors. 24(22). 7113–7113. 3 indexed citations
7.
Perfetto, Donato, et al.. (2024). A fine-tuning deep learning framework to palliate data distribution shift effects in rotary machine fault detection. Structural Health Monitoring. 25(2). 661–683. 20 indexed citations
8.
Oliveira, Mario De, et al.. (2023). Classification of Unbalanced and Bowed Rotors under Uncertainty Using Wavelet Time Scattering, LSTM, and SVM. Applied Sciences. 13(12). 6861–6861. 15 indexed citations
9.
Filho, Jozué Vieira, et al.. (2023). CROSSTALK EFFECTS IN MATRIX OF PZT SENSORS FOR SHM APPLICATIONS BASED ON THE ELECTROMECHANICAL IMPEDANCE PRINCIPLE. BCU Open Access Repository (Birmingham City University). 1 indexed citations
10.
Dias, G. S., et al.. (2021). Polyvinylidene fluoride – Hydroxyapatite 0–3 biocomposite filaments processed by twin-screw extrusion. Journal of the mechanical behavior of biomedical materials. 125. 104891–104891. 3 indexed citations
11.
Oliveira, Mario De, et al.. (2019). Vehicle Speed Monitoring using Convolutional Neural Networks. IEEE Latin America Transactions. 17(6). 1000–1008. 14 indexed citations
12.
Monteiro, André, et al.. (2018). Embedded application of convolutional neural networks on Raspberry Pi for SHM. Electronics Letters. 54(11). 680–682. 20 indexed citations
13.
Oliveira, Mario De & Daniel J. Inman. (2016). Performance analysis of simplified Fuzzy ARTMAP and Probabilistic Neural Networks for identifying structural damage growth. Applied Soft Computing. 52. 53–63. 27 indexed citations
14.
Oliveira, Mario De & Daniel J. Inman. (2015). PCA-based Method for Damage Detection Exploring Electromechanical Impedance in a Composite Beam. 6 indexed citations
15.
Oliveira, Mario De & Jozué Vieira Filho. (2012). Structural Health Monitoring based on AR models and PZT sensors. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 1–4. 4 indexed citations
16.
Oliveira, Mario De, et al.. (2011). Technology assessment for power quality mitigation devices – Micro-DVR case study. Electric Power Systems Research. 81(6). 1215–1226. 9 indexed citations
17.
Oliveira, Mario De, S.U. Ahn, Lourenço Matakas, et al.. (2008). Technology assessment for power quality mitigation devices - Micro-DVR case study. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 1–6.
18.
Oliveira, Mario De, et al.. (2008). Micro-DVR - A development platform for DVR and FACDS. 2. 1–7. 2 indexed citations
19.
Oliveira, Mario De, et al.. (2008). MICROCOMPUTERIZED SYSTEM TO ASSESS THE PERFORMANCE OF INFANT INCUBATORS. 119–122. 1 indexed citations
20.
Oliveira, Mario De, et al.. (2006). Reference generation and PLL in a dynamic voltage restorer prototype: implementation and tests. 3 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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