Elmano Margato

636 total citations
43 papers, 488 citations indexed

About

Elmano Margato is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Elmano Margato has authored 43 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Elmano Margato's work include Multilevel Inverters and Converters (11 papers), Microgrid Control and Optimization (10 papers) and NMR spectroscopy and applications (9 papers). Elmano Margato is often cited by papers focused on Multilevel Inverters and Converters (11 papers), Microgrid Control and Optimization (10 papers) and NMR spectroscopy and applications (9 papers). Elmano Margato collaborates with scholars based in Portugal and Mexico. Elmano Margato's co-authors include J. Fernando Silva, L. M. Redondo, Sónia Pinto, João Santana, J. A. Brandão Faria, Duarte M. Sousa, P. Verdelho, G.D. Marques, Luís Lino Ferreira and V. Fernão Pires and has published in prestigious journals such as IEEE Transactions on Power Electronics, Energy Conversion and Management and Review of Scientific Instruments.

In The Last Decade

Elmano Margato

41 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elmano Margato Portugal 14 393 283 48 39 38 43 488
G.H. Rim South Korea 13 553 1.4× 267 0.9× 98 2.0× 95 2.4× 33 0.9× 59 671
Sung-Roc Jang South Korea 18 730 1.9× 365 1.3× 164 3.4× 124 3.2× 76 2.0× 58 835
Suk-Ho Ahn South Korea 13 401 1.0× 149 0.5× 79 1.6× 74 1.9× 36 0.9× 28 454
K. Udayakumar India 13 312 0.8× 75 0.3× 18 0.4× 19 0.5× 9 0.2× 43 458
Mohammad Rezanejad Iran 17 1.4k 3.6× 639 2.3× 51 1.1× 23 0.6× 34 0.9× 50 1.5k
Yicheng Wang China 13 252 0.6× 190 0.7× 30 0.6× 17 0.4× 13 0.3× 35 386
Jouya Jadidian United States 13 617 1.6× 29 0.1× 65 1.4× 56 1.4× 28 0.7× 35 671
Adolf J. Schwab Germany 9 190 0.5× 48 0.2× 23 0.5× 15 0.4× 7 0.2× 33 244
Z. L. Hou China 10 179 0.5× 63 0.2× 13 0.3× 89 2.3× 12 0.3× 52 368
Darren F. Kavanagh Ireland 10 170 0.4× 137 0.5× 9 0.2× 48 1.2× 14 0.4× 27 327

Countries citing papers authored by Elmano Margato

Since Specialization
Citations

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

Fields of papers citing papers by Elmano Margato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elmano Margato

This figure shows the co-authorship network connecting the top 25 collaborators of Elmano Margato. A scholar is included among the top collaborators of Elmano Margato 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 Elmano Margato. Elmano Margato 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.
Sebastião, Pedro J., et al.. (2019). Fast-Field Cycling Nuclear Magnetic Resonance relaxometer's electromagnet with optimized homogeneity and reduced volume. Renewable Energy and Power Quality Journal. 17. 1–7. 1 indexed citations
2.
Sousa, Duarte M., et al.. (2019). FFC NMR Relaxometer with Magnetic Flux Density Control. Journal of Low Power Electronics and Applications. 9(3). 22–22. 2 indexed citations
3.
Silva, J. Fernando, et al.. (2019). Input–Output Linearization and PI controllers for AC–AC matrix converter based Dynamic Voltage Restorers with Flywheel Energy Storage: a comparison. Electric Power Systems Research. 169. 214–228. 20 indexed citations
4.
Pires, V. Fernão, et al.. (2018). Management of an Electric Vehicle Charging System Supported by RES and Storage Systems. 395–400. 3 indexed citations
5.
Sousa, Duarte M., et al.. (2013). Current source of a FFC NMR relaxometer linearly controlled. 67. 1–9. 4 indexed citations
6.
Ramos, Sérgio, et al.. (2012). Simulation of the Magnetic Induction Vector of a Magnetic Core to be Used in FFC NMR Relaxometry. Journal of Superconductivity and Novel Magnetism. 26(1). 133–140. 1 indexed citations
7.
Pinto, Sónia, et al.. (2012). Dynamic behavior of two power supplies for FFC NMR relaxometers. 67. 1092–1097. 5 indexed citations
8.
Margato, Elmano, et al.. (2011). Fast optimum-predictive control and capacitor voltage balancing strategy for bipolar back-to-back NPC converters in high-voltage direct current transmission systems. IET Generation Transmission & Distribution. 5(3). 368–375. 30 indexed citations
9.
Margato, Elmano, et al.. (2011). A new control strategy with saturation effect compensation for an autonomous induction generator driven by wide speed range turbines. Energy Conversion and Management. 52(5). 2142–2152. 16 indexed citations
10.
Margato, Elmano, et al.. (2011). Fringing window of a magnet with high flux density uniformity. 97–100. 2 indexed citations
11.
Margato, Elmano, et al.. (2010). New approach in back-to-back m -level diode-clamped multilevel converter modelling and direct current bus voltages balancing. IET Power Electronics. 3(4). 578–589. 38 indexed citations
12.
Sousa, Duarte M., et al.. (2010). Technical and economic analysis of a micro hydro plant — a case study. 1–6. 12 indexed citations
13.
Pinto, Sónia, et al.. (2007). Predictive Optimal Control of Input and Output Currents in Matrix Converters. 139. 529–533. 6 indexed citations
14.
Redondo, L. M., J. Fernando Silva, & Elmano Margato. (2007). Modular pulsed generator for kV and kHz applications based on forward converters association. 4. 1–7. 2 indexed citations
15.
Faria, J. A. Brandão, et al.. (2006). Asynchronous Generator Excited by Current Controlled Voltage Source Inverter using Rotor Field Oriented Control. 2006 12th International Power Electronics and Motion Control Conference. 1500–1505. 3 indexed citations
16.
Faria, J. A. Brandão, et al.. (2005). Self-Excited Induction Generator for Micro-Hydro Plants Using Water Current Turbines Type. 7. 107–112. 12 indexed citations
17.
Verdelho, P., et al.. (2002). An electronic welder control circuit. 2. 612–617. 24 indexed citations
18.
Margato, Elmano & João Santana. (2002). Induction generator excited by current source inverter used as a DC power supply-modelling and behaviour. 2. 814–819. 5 indexed citations
19.
Santana, João & Elmano Margato. (2002). Stability of the induction generator with a current source inverter exciter. vi. 170–175. 5 indexed citations
20.
Redondo, L. M., Elmano Margato, & J. Fernando Silva. (2001). A new method to build a high-voltage pulse supply using only semiconductor switches for plasma-immersion ion implantation. Surface and Coatings Technology. 136(1-3). 51–54. 23 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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