A. Lopes Ribeiro

1.9k total citations
123 papers, 1.4k citations indexed

About

A. Lopes Ribeiro is a scholar working on Mechanical Engineering, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, A. Lopes Ribeiro has authored 123 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Mechanical Engineering, 89 papers in Mechanics of Materials and 21 papers in Ocean Engineering. Recurrent topics in A. Lopes Ribeiro's work include Non-Destructive Testing Techniques (100 papers), Ultrasonics and Acoustic Wave Propagation (88 papers) and Welding Techniques and Residual Stresses (57 papers). A. Lopes Ribeiro is often cited by papers focused on Non-Destructive Testing Techniques (100 papers), Ultrasonics and Acoustic Wave Propagation (88 papers) and Welding Techniques and Residual Stresses (57 papers). A. Lopes Ribeiro collaborates with scholars based in Portugal, China and Czechia. A. Lopes Ribeiro's co-authors include Helena G. Ramos, Dário J. Pasadas, T. Rocha, Octavian Postolache, Bo Feng, Prashanth Baskaran, Francisco Alegría, J. M. Dias Pereira, Chandra Sekhar Angani and Pedro M. Ramos and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

A. Lopes Ribeiro

114 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Lopes Ribeiro Portugal 23 1.1k 831 244 222 149 123 1.4k
Yanhua Sun China 21 979 0.9× 432 0.5× 156 0.6× 174 0.8× 96 0.6× 86 1.2k
Jingpin Jiao China 16 465 0.4× 728 0.9× 250 1.0× 115 0.5× 334 2.2× 71 927
Xin’an Yuan China 15 530 0.5× 364 0.4× 138 0.6× 150 0.7× 97 0.7× 80 687
Tomasz Chady Poland 16 569 0.5× 495 0.6× 139 0.6× 241 1.1× 204 1.4× 120 968
Ruochen Huang United Kingdom 19 681 0.6× 385 0.5× 120 0.5× 138 0.6× 33 0.2× 58 809
Krzysztof Dragan Poland 15 452 0.4× 856 1.0× 68 0.3× 151 0.7× 463 3.1× 98 1.2k
Haitao Wang China 18 566 0.5× 435 0.5× 84 0.3× 72 0.3× 114 0.8× 53 896
Huidong Gao United States 11 518 0.5× 829 1.0× 324 1.3× 85 0.4× 439 2.9× 22 1.1k
Nasser Qaddoumi United Arab Emirates 25 196 0.2× 377 0.5× 273 1.1× 839 3.8× 172 1.2× 91 1.4k

Countries citing papers authored by A. Lopes Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by A. Lopes Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Lopes Ribeiro. 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 A. Lopes Ribeiro. The network helps show where A. Lopes Ribeiro may publish in the future.

Co-authorship network of co-authors of A. Lopes Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of A. Lopes Ribeiro. A scholar is included among the top collaborators of A. Lopes Ribeiro 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 A. Lopes Ribeiro. A. Lopes Ribeiro 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.
Pasadas, Dário J., et al.. (2025). Baseline-free damage imaging of CFRP lap joints using K-means clustering of guided wave signals. Mechanical Systems and Signal Processing. 229. 112562–112562. 4 indexed citations
2.
Pasadas, Dário J., et al.. (2025). Damage Imaging in a CFRP Plate Using UGW-Based Handheld Probe. IEEE Sensors Journal. 25(20). 38800–38808.
3.
Baskaran, Prashanth, et al.. (2025). An Eddy Current Probe With Minimum Background Magnetic Field for the Detection of Deeply Buried Defects. IEEE Sensors Journal. 25(12). 21716–21724.
4.
Ribeiro, A. Lopes, et al.. (2025). High Sensitive ECT Probe for Detection of Deeply Buried Defects. 1–6.
5.
Pasadas, Dário J., et al.. (2024). Comparative Study on Ultrasonic C-Scan Imaging of Composite Lap Joints Using Piezoelectric Transducer: Pulse-Echo and Pitch-Catch Configurations. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 6 indexed citations
6.
Pasadas, Dário J., et al.. (2024). Crack Depth Evaluation and Imaging Using Lamb Wavefield Measurements by a Movable PZT Sensor. IEEE Sensors Journal. 24(22). 37514–37523.
7.
Pasadas, Dário J., et al.. (2024). Baseline-Free Damage Imaging for Structural Health Monitoring of Composite Lap Joint Using Ultrasonic-Guided Waves. SHILAP Revista de lepidopterología. 3. 1–8. 2 indexed citations
8.
Pasadas, Dário J., et al.. (2024). Eddy Current-Based Delamination Imaging in CFRP Using Erosion and Thresholding Approaches. Sensors. 24(18). 5932–5932. 2 indexed citations
9.
Mishurova, Tatiana, et al.. (2024). Adhesive Porosity Analysis of Composite Adhesive Joints Using Ultrasonic Guided Waves. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(4). 485–495. 5 indexed citations
10.
Pasadas, Dário J., et al.. (2023). Polar Coordinate for Damage Imaging of Adhesively Bonded Plates Using Ultrasonic Guided Waves and Laser Doppler Vibrometer Measurements. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 10 indexed citations
11.
Pasadas, Dário J., et al.. (2023). Guided waves based debonding classification in lap-joints using modified Fisher discriminant criterion. NDT & E International. 137. 102831–102831. 5 indexed citations
12.
Ribeiro, A. Lopes, et al.. (2023). Baseline-Free Damage Imaging of Composite Lap Joint via Parallel Array of Piezoelectric Sensors. Sensors. 23(22). 9050–9050. 5 indexed citations
13.
Baskaran, Prashanth, A. Lopes Ribeiro, & Helena G. Ramos. (2023). Theoretical Predictions of Perturbed Magnetic Flux Density Components Due to Narrow Flaws in ECT. IEEE Transactions on Instrumentation and Measurement. 72. 1–7.
14.
Pasadas, Dário J., et al.. (2022). Locating and Imaging Fiber Breaks in CFRP Using Guided Wave Tomography and Eddy Current Testing. Sensors. 22(19). 7377–7377. 11 indexed citations
15.
Baskaran, Prashanth, Dário J. Pasadas, A. Lopes Ribeiro, & Helena G. Ramos. (2022). Analytical Model of Perturbed EMF in a Transmit-Receive Coil System Due to Thin Flaws. IEEE Transactions on Magnetics. 58(5). 1–5. 1 indexed citations
16.
Pasadas, Dário J., Helena G. Ramos, Bo Feng, Prashanth Baskaran, & A. Lopes Ribeiro. (2019). Defect Classification With SVM and Wideband Excitation in Multilayer Aluminum Plates. IEEE Transactions on Instrumentation and Measurement. 69(1). 241–248. 29 indexed citations
17.
Pasadas, Dário J., Prashanth Baskaran, Helena G. Ramos, & A. Lopes Ribeiro. (2019). Detection and Classification of Defects Using ECT and Multi-Level SVM Model. IEEE Sensors Journal. 20(5). 2329–2338. 32 indexed citations
18.
Pasadas, Dário J., A. Lopes Ribeiro, Helena G. Ramos, & T. Rocha. (2015). ECT image analysis applying an inverse problem algorithm with Tikhonov/TV Regularization. 940–944. 2 indexed citations
19.
Ramos, Helena G., et al.. (2010). Signal processing for non-contact NDE. PRZEGLĄD ELEKTROTECHNICZNY. 249–254. 1 indexed citations
20.
Torres, Pedro, et al.. (2006). Erbium doped fibers: characterization through the "easy points" method.. 38(2). 617–620. 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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