M. Pineda‐Sanchez

2.8k total citations
80 papers, 2.3k citations indexed

About

M. Pineda‐Sanchez is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M. Pineda‐Sanchez has authored 80 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Control and Systems Engineering, 41 papers in Mechanical Engineering and 36 papers in Electrical and Electronic Engineering. Recurrent topics in M. Pineda‐Sanchez's work include Machine Fault Diagnosis Techniques (64 papers), Non-Destructive Testing Techniques (30 papers) and Fault Detection and Control Systems (14 papers). M. Pineda‐Sanchez is often cited by papers focused on Machine Fault Diagnosis Techniques (64 papers), Non-Destructive Testing Techniques (30 papers) and Fault Detection and Control Systems (14 papers). M. Pineda‐Sanchez collaborates with scholars based in Spain, France and Serbia. M. Pineda‐Sanchez's co-authors include M. Riera‐Guasp, Rubén Puche‐Panadero, J. Pérez‐Cruz, Jose A. Antonino‐Daviu, Ángel Sapena-Bañó, J. Roger‐Folch, Javier Martínez‐Román, Jordi Burriel-Valencia, Joan Pons-Llinares and Vicente Climente-Alarcón and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

M. Pineda‐Sanchez

77 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Pineda‐Sanchez Spain 24 2.1k 1.2k 614 475 333 80 2.3k
Rubén Puche‐Panadero Spain 23 1.9k 0.9× 1.1k 0.9× 579 0.9× 427 0.9× 283 0.8× 80 2.1k
Shahin Hedayati Kia France 24 2.0k 1.0× 1.4k 1.1× 560 0.9× 448 0.9× 276 0.8× 61 2.3k
Humberto Henao France 21 1.6k 0.8× 1.1k 0.9× 629 1.0× 339 0.7× 190 0.6× 53 1.9k
Vicente Climente-Alarcón Spain 22 1.4k 0.7× 806 0.7× 470 0.8× 319 0.7× 207 0.6× 97 1.7k
R.R. Schoen United States 11 2.0k 1.0× 1.3k 1.1× 524 0.9× 467 1.0× 212 0.6× 11 2.2k
Eduardo Cabal‐Yépez Mexico 23 1.2k 0.6× 653 0.5× 550 0.9× 270 0.6× 237 0.7× 77 1.8k
M. Riera‐Guasp Spain 30 3.8k 1.8× 2.2k 1.8× 1.2k 1.9× 884 1.9× 566 1.7× 101 4.2k
J. Pérez‐Cruz Spain 15 1.1k 0.5× 681 0.6× 361 0.6× 269 0.6× 166 0.5× 47 1.3k
C. Rossi Italy 26 1.8k 0.9× 675 0.5× 1.7k 2.7× 165 0.3× 126 0.4× 163 2.8k
G.B. Kliman United States 23 3.2k 1.5× 1.7k 1.4× 2.2k 3.6× 515 1.1× 239 0.7× 50 4.1k

Countries citing papers authored by M. Pineda‐Sanchez

Since Specialization
Citations

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

Fields of papers citing papers by M. Pineda‐Sanchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Pineda‐Sanchez. 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 M. Pineda‐Sanchez. The network helps show where M. Pineda‐Sanchez may publish in the future.

Co-authorship network of co-authors of M. Pineda‐Sanchez

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pineda‐Sanchez. A scholar is included among the top collaborators of M. Pineda‐Sanchez 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 M. Pineda‐Sanchez. M. Pineda‐Sanchez 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.
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
2.
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
3.
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
4.
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
5.
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
6.
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
7.
8.
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
9.
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
10.
Pérez‐Cruz, J., et al.. (2017). The Harmonic Order Tracking Analysis (HOTA) for the Diagnosis of Induction Generators Working Under Steady State Regime. DEStech Transactions on Engineering and Technology Research. 1 indexed citations
11.
Pérez‐Cruz, J., Rubén Puche‐Panadero, M. Pineda‐Sanchez, et al.. (2017). Cost-effective on-line fault diagnosis of induction motors using the reduced modulus of the current park's vector. 427–433. 7 indexed citations
12.
Sapena-Bañó, Ángel, J. Pérez‐Cruz, M. Pineda‐Sanchez, et al.. (2014). Condition monitoring of electrical machines using low computing power devices. 1516–1522. 5 indexed citations
13.
Pineda‐Sanchez, M., et al.. (2012). Enhanced Simulink Induction Motor Model for Education and Maintenance Training. SHILAP Revista de lepidopterología. 9 indexed citations
14.
Matić, Dragan, et al.. (2012). Support vector machine classifier for diagnosis in electrical machines: Application to broken bar. Expert Systems with Applications. 39(10). 8681–8689. 64 indexed citations
15.
Antonino‐Daviu, Jose A., et al.. (2012). Transient-based analysis for the detection of broken damper bars in synchronous motors. Mechanical Systems and Signal Processing. 34(1-2). 367–377. 8 indexed citations
16.
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
17.
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
18.
19.
Antonino‐Daviu, Jose A., M. Riera‐Guasp, M. Pineda‐Sanchez, et al.. (2009). Feature Extraction for the Prognosis of Electromechanical Faults in Electrical Machines through the DWT. International Journal of Computational Intelligence Systems. 2(2). 158–158. 17 indexed citations
20.
Pineda‐Sanchez, M., et al.. (2003). Magnetic Fields in Multiconductor Systems with Harmonic Currents. Renewable Energy and Power Quality Journal. 1(1). 614–619. 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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