R. Vargas

3.3k total citations · 2 hit papers
29 papers, 2.7k citations indexed

About

R. Vargas is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, R. Vargas has authored 29 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 18 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in R. Vargas's work include Multilevel Inverters and Converters (12 papers), Fault Detection and Control Systems (8 papers) and Advanced DC-DC Converters (8 papers). R. Vargas is often cited by papers focused on Multilevel Inverters and Converters (12 papers), Fault Detection and Control Systems (8 papers) and Advanced DC-DC Converters (8 papers). R. Vargas collaborates with scholars based in Mexico, Chile and Germany. R. Vargas's co-authors include José Rodríguez, Ulrich Ammann, Patricio Cortés, Samir Kouro, J. Pontt, Patrick Wheeler, J. Aguayo, R. Musalem, P. Newman and César Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

R. Vargas

26 papers receiving 2.6k citations

Hit Papers

Model Predictive Control—A Simple and Powerful Method to ... 2007 2026 2013 2019 2008 2007 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Vargas Mexico 11 2.6k 1.6k 136 83 58 29 2.7k
Ulrich Ammann Germany 14 4.2k 1.6× 2.6k 1.6× 216 1.6× 142 1.7× 70 1.2× 28 4.3k
Pablo Acuna Australia 21 1.8k 0.7× 1.2k 0.8× 203 1.5× 147 1.8× 41 0.7× 57 1.9k
Marif Daula Siddique Malaysia 31 2.7k 1.0× 1.1k 0.7× 126 0.9× 153 1.8× 83 1.4× 106 2.7k
Alian Chen China 21 1.7k 0.7× 915 0.6× 206 1.5× 139 1.7× 96 1.7× 116 1.8k
Hanbing Dan China 19 893 0.3× 526 0.3× 96 0.7× 48 0.6× 71 1.2× 66 990
Mustafa Mohamadian Iran 24 2.1k 0.8× 1.4k 0.8× 242 1.8× 155 1.9× 62 1.1× 112 2.2k
Tae-Won Chun South Korea 18 1.4k 0.5× 910 0.6× 150 1.1× 193 2.3× 94 1.6× 113 1.5k
T. J. Summers Australia 16 1.1k 0.4× 700 0.4× 39 0.3× 70 0.8× 50 0.9× 83 1.2k
Cristian García Chile 30 2.0k 0.8× 1.2k 0.7× 153 1.1× 31 0.4× 122 2.1× 148 2.2k
Suman Maiti India 13 1.2k 0.4× 658 0.4× 101 0.7× 57 0.7× 76 1.3× 68 1.2k

Countries citing papers authored by R. Vargas

Since Specialization
Citations

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

Fields of papers citing papers by R. Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Vargas

This figure shows the co-authorship network connecting the top 25 collaborators of R. Vargas. A scholar is included among the top collaborators of R. Vargas 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 R. Vargas. R. Vargas 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.
Vargas, R., et al.. (2025). General Approach to Electrical Microgrids: Optimization, Efficiency, and Reliability. SHILAP Revista de lepidopterología. 6(1). 12–12.
2.
Vargas, R., et al.. (2025). Cyber–Physical System Attack Detection and Isolation: A Takagi–Sugeno Approach. Mathematical and Computational Applications. 30(1). 12–12. 1 indexed citations
3.
Puig, Vicenç, et al.. (2024). Sensor Fault Detection for LPV Systems Using Interval Observers. IEEE Access. 12. 93701–93710.
4.
Astorga‐Zaragoza, C.M., et al.. (2024). PI Observer for Actuator Fault Estimation in a Distillation Process: A Descriptor Approach. IEEE Access. 12. 91556–91567. 1 indexed citations
5.
Astorga‐Zaragoza, C.M., et al.. (2024). H∞ State and Parameter Estimation for Lipschitz Nonlinear Systems. Mathematical and Computational Applications. 29(4). 51–51.
6.
Ortíz-Torres, Gerardo, et al.. (2023). Control for Bioethanol Production in a Pressure Swing Adsorption Process Using an Artificial Neural Network. Mathematics. 11(18). 3967–3967. 8 indexed citations
7.
Alma, Marouane, et al.. (2023). State estimation strategy for a class of nonlinear algebro-differential parameter-varying systems. International Journal of Systems Science. 54(16). 3085–3097. 1 indexed citations
8.
Astorga‐Zaragoza, C.M., et al.. (2021). Actuator Fault Compensation Based on a Takagi-Sugeno PI Observer: Application to a Thermoelectric Steam Generator. International Journal of Fuzzy Systems. 24(2). 855–866. 1 indexed citations
9.
Vargas, R., et al.. (2019). Fuzzy functional observer for the control of the glucose-insulin system. Journal of Intelligent & Fuzzy Systems. 37(4). 5085–5096. 2 indexed citations
10.
Astorga‐Zaragoza, C.M., et al.. (2018). Fault estimation for descriptor linear systems based on the generalised dynamic observer. International Journal of Systems Science. 49(11). 2398–2409. 8 indexed citations
11.
Vargas, R., et al.. (2015). Analysis of Minimum Modulation for the 9-Level Multilevel Inverter in Asymmetric Structure. IEEE Latin America Transactions. 13(9). 2851–2858. 21 indexed citations
12.
Vargas, R., Marco Rivera, José Rodríguez, & Patrick Wheeler. (2015). Torque and flux control of an induction machine fed by a matrix converter under unbalanced AC supply with reactive power minimization. 2. 441–446. 2 indexed citations
13.
Aguayo, J., et al.. (2011). Análisis de un inversor multinivel en cascada con tolerancia a fallas. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Vargas, R., José Rodríguez, Ulrich Ammann, & Patrick Wheeler. (2008). Predictive Current Control of an Induction Machine Fed by a Matrix Converter With Reactive Power Control. IEEE Transactions on Industrial Electronics. 55(12). 4362–4371. 169 indexed citations
15.
Kouro, Samir, Patricio Cortés, R. Vargas, Ulrich Ammann, & José Rodríguez. (2008). Model Predictive Control—A Simple and Powerful Method to Control Power Converters. IEEE Transactions on Industrial Electronics. 56(6). 1826–1838. 1554 indexed citations breakdown →
16.
Arjona, M. A., et al.. (2008). A virtual testbed for characterizing synchronous generators based on time domain tests. 1–6. 1 indexed citations
17.
Vargas, R., et al.. (2008). A Matlab-based tool for power system dynamics analysis: A comparison with PSS/E. pas 87. 1–5. 5 indexed citations
18.
Rodríguez, José, J. Pontt, R. Vargas, et al.. (2007). Predictive direct torque control of an induction motor fed by a matrix converter. 1–10. 27 indexed citations
19.
Vargas, R., Patricio Cortés, Ulrich Ammann, José Rodríguez, & J. Pontt. (2007). Predictive Control of a Three-Phase Neutral-Point-Clamped Inverter. IEEE Transactions on Industrial Electronics. 54(5). 2697–2705. 476 indexed citations breakdown →
20.
Vargas, R., et al.. (2002). Polarization diversity for indoor cellular and PCS CDMA reception. 2. 1014–1018. 2 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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