Rubén Puche‐Panadero

2.6k total citations
80 papers, 2.1k citations indexed

About

Rubén Puche‐Panadero is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Rubén Puche‐Panadero has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Control and Systems Engineering, 38 papers in Mechanical Engineering and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Rubén Puche‐Panadero's work include Machine Fault Diagnosis Techniques (65 papers), Non-Destructive Testing Techniques (29 papers) and Magnetic Properties and Applications (18 papers). Rubén Puche‐Panadero is often cited by papers focused on Machine Fault Diagnosis Techniques (65 papers), Non-Destructive Testing Techniques (29 papers) and Magnetic Properties and Applications (18 papers). Rubén Puche‐Panadero collaborates with scholars based in Spain, Serbia and United States. Rubén Puche‐Panadero's co-authors include M. Pineda‐Sanchez, M. Riera‐Guasp, J. Pérez‐Cruz, Ángel Sapena-Bañó, Jose A. Antonino‐Daviu, Javier Martínez‐Román, J. Roger‐Folch, Jordi Burriel-Valencia, Vicente Climente-Alarcón and Elías Hurtado-Pérez and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Energy Conversion and Management.

In The Last Decade

Rubén Puche‐Panadero

77 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubén Puche‐Panadero Spain 23 1.9k 1.1k 579 427 283 80 2.1k
Shahin Hedayati Kia France 24 2.0k 1.1× 1.4k 1.3× 560 1.0× 448 1.0× 276 1.0× 61 2.3k
M. Pineda‐Sanchez Spain 24 2.1k 1.1× 1.2k 1.1× 614 1.1× 475 1.1× 333 1.2× 80 2.3k
H. Henao France 24 2.0k 1.1× 1.3k 1.2× 695 1.2× 439 1.0× 271 1.0× 66 2.4k
Vicente Climente-Alarcón Spain 22 1.4k 0.7× 806 0.7× 470 0.8× 319 0.7× 207 0.7× 97 1.7k
Humberto Henao France 21 1.6k 0.9× 1.1k 1.0× 629 1.1× 339 0.8× 190 0.7× 53 1.9k
R.R. Schoen United States 11 2.0k 1.1× 1.3k 1.2× 524 0.9× 467 1.1× 212 0.7× 11 2.2k
Eduardo Cabal‐Yépez Mexico 23 1.2k 0.6× 653 0.6× 550 0.9× 270 0.6× 237 0.8× 77 1.8k
J. Pérez‐Cruz Spain 15 1.1k 0.6× 681 0.6× 361 0.6× 269 0.6× 166 0.6× 47 1.3k
J. Roger‐Folch Spain 18 1.2k 0.6× 765 0.7× 363 0.6× 311 0.7× 188 0.7× 50 1.3k
C. Rossi Italy 26 1.8k 0.9× 675 0.6× 1.7k 2.9× 165 0.4× 126 0.4× 163 2.8k

Countries citing papers authored by Rubén Puche‐Panadero

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Puche‐Panadero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubén Puche‐Panadero. 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 Rubén Puche‐Panadero. The network helps show where Rubén Puche‐Panadero may publish in the future.

Co-authorship network of co-authors of Rubén Puche‐Panadero

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Puche‐Panadero. A scholar is included among the top collaborators of Rubén Puche‐Panadero 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 Rubén Puche‐Panadero. Rubén Puche‐Panadero 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.
Sapena-Bañó, Ángel, et al.. (2023). Implementing Deep Learning Models in Embedded Systems for Diagnosis Induction Machine. 3(1). 7–12. 1 indexed citations
2.
Martínez‐Román, Javier, et al.. (2022). Analytical Model of Eccentric Induction Machines Using the Conformal Winding Tensor Approach. Sensors. 22(9). 3150–3150. 4 indexed citations
3.
Martínez‐Román, Javier, Rubén Puche‐Panadero, Ángel Sapena-Bañó, et al.. (2021). Fast Numerical Model of Power Busbar Conductors Through the FFT and the Convolution Theorem. IEEE Transactions on Power Delivery. 37(4). 3291–3301. 5 indexed citations
4.
Puche‐Panadero, Rubén, Javier Martínez‐Román, Ángel Sapena-Bañó, et al.. (2021). New Method for Spectral Leakage Reduction in the FFT of Stator Currents: Application to the Diagnosis of Bar Breakages in Cage Motors Working at Very Low Slip. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 25 indexed citations
5.
Martínez‐Román, Javier, et al.. (2021). Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach. Sensors. 21(15). 5076–5076. 10 indexed citations
6.
Martínez‐Román, Javier, et al.. (2021). A Review of Techniques Used for Induction Machine Fault Modelling. Sensors. 21(14). 4855–4855. 36 indexed citations
7.
Puche‐Panadero, Rubén, Javier Martínez‐Román, Ángel Sapena-Bañó, Jordi Burriel-Valencia, & M. Riera‐Guasp. (2020). Fault Diagnosis in the Slip–Frequency Plane of Induction Machines Working in Time-Varying Conditions. Sensors. 20(12). 3398–3398. 15 indexed citations
8.
Martínez‐Román, Javier, Rubén Puche‐Panadero, Ángel Sapena-Bañó, et al.. (2020). Winding Tensor Approach for the Analytical Computation of the Inductance Matrix in Eccentric Induction Machines. Sensors. 20(11). 3058–3058. 3 indexed citations
9.
Sapena-Bañó, Ángel, Francisco Chinesta, Rubén Puche‐Panadero, Javier Martínez‐Román, & M. Pineda‐Sanchez. (2020). Model reduction based on sparse identification techniques for induction machines: Towards the real time and accuracy-guaranteed simulation of faulty induction machines. International Journal of Electrical Power & Energy Systems. 125. 106417–106417. 14 indexed citations
10.
Burriel-Valencia, Jordi, Rubén Puche‐Panadero, Javier Martínez‐Román, et al.. (2019). Multi-Band Frequency Window for Time-Frequency Fault Diagnosis of Induction Machines. Energies. 12(17). 3361–3361. 6 indexed citations
11.
12.
Artigao, Estefanía, Ángel Sapena-Bañó, Andrés Honrubia‐Escribano, et al.. (2019). Long-Term Operational Data Analysis of an In-Service Wind Turbine DFIG. IEEE Access. 7. 17896–17906. 9 indexed citations
13.
Burriel-Valencia, Jordi, Rubén Puche‐Panadero, Javier Martínez‐Román, et al.. (2018). Automatic Fault Diagnostic System for Induction Motors under Transient Regime Optimized with Expert Systems. Electronics. 8(1). 6–6. 44 indexed citations
14.
Pineda‐Sanchez, M., Rubén Puche‐Panadero, Javier Martínez‐Román, et al.. (2018). Partial Inductance Model of Induction Machines for Fault Diagnosis. Sensors. 18(7). 2340–2340. 12 indexed citations
15.
Khang, Huynh Van, et al.. (2016). Bearing fault detection of gear-box drive train using active filters. International Conference on Electrical Machines and Systems. 4 indexed citations
16.
Sapena-Bañó, Ángel, et al.. (2014). Harmonic order tracking analysis: A novel method for the diagnosis of induction generators. 180. 1765–1771. 3 indexed citations
17.
Pineda‐Sanchez, M., et al.. (2012). Enhanced Simulink Induction Motor Model for Education and Maintenance Training. SHILAP Revista de lepidopterología. 9 indexed citations
18.
Climente-Alarcón, Vicente, et al.. (2012). Application of the Wigner–Ville distribution for the detection of rotor asymmetries and eccentricity through high-order harmonics. Electric Power Systems Research. 91. 28–36. 61 indexed citations
19.
Pineda‐Sanchez, M., Rubén Puche‐Panadero, M. Riera‐Guasp, et al.. (2011). Motor condition monitoring of induction motor with programmable logic controller and industrial network. European Conference on Power Electronics and Applications. 1–10. 9 indexed citations
20.
Pineda‐Sanchez, M., J. Roger‐Folch, J. Pérez‐Cruz, et al.. (2010). Calculation of Winding Inductances via Magnetic Vector Potential, Discrete Convolution and Fast Fourier Transform. PRZEGLĄD ELEKTROTECHNICZNY. 86(5). 109–113. 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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