Carlos A. Duque

2.2k total citations
156 papers, 1.5k citations indexed

About

Carlos A. Duque is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Carlos A. Duque has authored 156 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Electrical and Electronic Engineering, 53 papers in Control and Systems Engineering and 34 papers in Signal Processing. Recurrent topics in Carlos A. Duque's work include Power Quality and Harmonics (96 papers), Advanced Electrical Measurement Techniques (35 papers) and Blind Source Separation Techniques (29 papers). Carlos A. Duque is often cited by papers focused on Power Quality and Harmonics (96 papers), Advanced Electrical Measurement Techniques (35 papers) and Blind Source Separation Techniques (29 papers). Carlos A. Duque collaborates with scholars based in Brazil, United States and Colombia. Carlos A. Duque's co-authors include Paulo F. Ribeiro, A. S. Cerqueira, Moisés V. Ribeiro, Danton Diego Ferreira, Leandro Rodrigues Manso Silva, Paulo Márcio da Silveira, João Marcos Travassos Romano, Jan Meyer, Math Bollen and T. Baldwin and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.

In The Last Decade

Carlos A. Duque

143 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos A. Duque Brazil 23 1.2k 612 196 147 117 156 1.5k
Moisés V. Ribeiro Brazil 24 1.8k 1.4× 468 0.8× 141 0.7× 80 0.5× 132 1.1× 180 2.1k
Jacek Rezmer Poland 16 919 0.7× 425 0.7× 76 0.4× 127 0.9× 33 0.3× 67 1.1k
Manoj Tripathy India 17 839 0.7× 726 1.2× 75 0.4× 78 0.5× 63 0.5× 138 1.1k
Qiu Tang China 19 857 0.7× 666 1.1× 60 0.3× 83 0.6× 68 0.6× 96 1.4k
Cheng‐I Chen Taiwan 19 936 0.8× 523 0.9× 29 0.1× 189 1.3× 75 0.6× 62 1.2k
Peter Schegner Germany 27 2.0k 1.6× 922 1.5× 53 0.3× 136 0.9× 27 0.2× 182 2.2k
Elham B. Makram United States 22 2.0k 1.6× 1.2k 1.9× 40 0.2× 379 2.6× 61 0.5× 129 2.3k
Antonio Bracale Italy 23 1.4k 1.1× 482 0.8× 30 0.2× 154 1.0× 48 0.4× 116 1.5k
Paolo Attilio Pegoraro Italy 25 2.4k 1.9× 1.5k 2.4× 39 0.2× 54 0.4× 43 0.4× 129 2.6k
T.H. Ortmeyer United States 20 1.5k 1.2× 798 1.3× 36 0.2× 136 0.9× 23 0.2× 100 1.7k

Countries citing papers authored by Carlos A. Duque

Since Specialization
Citations

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

Fields of papers citing papers by Carlos A. Duque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos A. Duque

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos A. Duque. A scholar is included among the top collaborators of Carlos A. Duque 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 Carlos A. Duque. Carlos A. Duque 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.
Silva, Leandro Rodrigues Manso, et al.. (2025). Edge Computing Device for Digital Substations. IEEE Access. 13. 175858–175869.
2.
Jaouane, M., R. Arraoui, A. Fakkahi, et al.. (2025). Optical properties of an exciton in core/shell/shell spherical quantum dot under an electric field. Journal of Physics and Chemistry of Solids. 208. 113169–113169. 1 indexed citations
3.
Ed‐Dahmouny, A., N. Zeiri, R. Arraoui, et al.. (2025). Machine learning prediction of electric field-dependent absorption coefficient in CdTe/CdS quantum dots. Materials Today Physics. 58. 101851–101851. 1 indexed citations
4.
5.
Ed‐Dahmouny, A., N. Zeiri, M. Jaouane, et al.. (2025). Tuning the electronic and optical properties of a GaAs dumbbell quantum dot with an axial electric field. Materials Today Communications. 50. 114218–114218.
6.
7.
Zeiri, N., A. Ed‐Dahmouny, David B. Hayrapetyan, et al.. (2025). Machine learning-based prediction of nonlinear optical rectification in GaAs/AlGaAs tetrapod core/shell quantum dots under pressure and central hydrogenic impurity effects. Materials Science in Semiconductor Processing. 200. 110010–110010.
8.
Zeiri, N., et al.. (2025). Tunable Nonlinear Optical Response in Core/Shell Quantum Dots via Dielectric-Mediated Quantum Confinement. Optics Communications. 595. 132382–132382.
9.
Ferreira, Danton Diego, et al.. (2024). Sample-by-sample Power Quality Disturbance classification based on Sliding Window Recursive Discrete Fourier Transform. Electric Power Systems Research. 235. 110607–110607. 6 indexed citations
10.
Zeiri, N., P. Başer, Hamed Dehdashti Jahromi, et al.. (2024). Effects of the size and applied electric field on the photoionization cross-section of elliptical cylindrical CdS/ZnS core-shell quantum dots immersed in various dielectric matrices. Optics & Laser Technology. 182. 111822–111822. 8 indexed citations
11.
Ed‐Dahmouny, A., M. Jaouane, R. Arraoui, et al.. (2024). Strain-induced modulations in nonlinear optical rectification of core/shell quantum dots within an MEH-PPV polymer matrix under electric field: a 3D finite-element modeling study. SHILAP Revista de lepidopterología. 6(11). 6 indexed citations
12.
Silva, Leandro Rodrigues Manso, et al.. (2024). Independent Component Analysis-Based Harmonic Transfer Impedance Estimation for Networks with Multiple Harmonic Sources. Energies. 18(1). 85–85. 1 indexed citations
13.
Azmi, H., K. El‐Bakkari, M. Jaouane, et al.. (2024). Examining the influence of electric field on the photoionization cross section and spin polaronic shift in a semimagnetic double quantum well. Physica B Condensed Matter. 696. 416647–416647. 6 indexed citations
14.
Ferreira, Danton Diego, et al.. (2021). Supraharmonic estimation by polyphase DFT filter bank. Computers & Electrical Engineering. 92. 107202–107202. 4 indexed citations
15.
Silva, Leandro Rodrigues Manso, et al.. (2021). Spectral Variation-Based Signal Compression Technique for Gapless Power Quality Waveform Recording in Smart Grids. IEEE Transactions on Industrial Informatics. 18(7). 4488–4498. 12 indexed citations
16.
Ferreira, Danton Diego, et al.. (2021). PLL Based Method for Supraharmonics Emission Assessment. IEEE Transactions on Power Delivery. 37(4). 2610–2620. 12 indexed citations
17.
Khosravy, Mahdi, et al.. (2019). High Accuracy Power Quality Evaluation under a Colored Noisy Condition by Filter Bank ESPRIT. Electronics. 8(11). 1259–1259. 17 indexed citations
18.
Duarte, J.L., et al.. (2018). Single-Phase Fundamental Component Estimation and Frequency Tracking Under Time-Varying Harmonic Distortion Operation. TU/e Research Portal. 8515491. 1 indexed citations
19.
Duque, Carlos A., et al.. (2016). TERAHERTZ – YESTERDAY, TODAY, AND TOMORROW. SHILAP Revista de lepidopterología.
20.
Ferreira, Danton Diego, A. S. Cerqueira, Moisés V. Ribeiro, & Carlos A. Duque. (2006). HOS-based method for power quality event classification. European Signal Processing Conference. 1–5. 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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2026