M. Riera‐Guasp

5.1k total citations · 2 hit papers
101 papers, 4.2k citations indexed

About

M. Riera‐Guasp is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M. Riera‐Guasp has authored 101 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Control and Systems Engineering, 54 papers in Mechanical Engineering and 32 papers in Electrical and Electronic Engineering. Recurrent topics in M. Riera‐Guasp's work include Machine Fault Diagnosis Techniques (87 papers), Non-Destructive Testing Techniques (37 papers) and Magnetic Properties and Applications (21 papers). M. Riera‐Guasp is often cited by papers focused on Machine Fault Diagnosis Techniques (87 papers), Non-Destructive Testing Techniques (37 papers) and Magnetic Properties and Applications (21 papers). M. Riera‐Guasp collaborates with scholars based in Spain, United States and Finland. M. Riera‐Guasp's co-authors include Jose A. Antonino‐Daviu, M. Pineda‐Sanchez, Rubén Puche‐Panadero, Gérard‐André Capolino, J. Pérez‐Cruz, J. Roger‐Folch, Joan Pons-Llinares, Vicente Climente-Alarcón, Maite Palomares and Elias G. Strangas 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

M. Riera‐Guasp

95 papers receiving 4.1k citations

Hit Papers

Trends in Fault Diagnosis for Electrical Machines: A Revi... 2014 2026 2018 2022 2014 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Riera‐Guasp Spain 30 3.8k 2.2k 1.2k 884 566 101 4.2k
F. Filippetti Italy 31 4.9k 1.3× 2.6k 1.2× 2.1k 1.8× 993 1.1× 488 0.9× 117 5.5k
M. Pineda‐Sanchez Spain 24 2.1k 0.5× 1.2k 0.6× 614 0.5× 475 0.5× 333 0.6× 80 2.3k
Gérard‐André Capolino France 45 6.2k 1.6× 3.4k 1.5× 3.7k 3.2× 1.1k 1.2× 666 1.2× 226 8.0k
G.B. Kliman United States 23 3.2k 0.8× 1.7k 0.8× 2.2k 1.9× 515 0.6× 239 0.4× 50 4.1k
G. Franceschini Italy 34 3.7k 1.0× 1.6k 0.7× 3.4k 2.9× 555 0.6× 252 0.4× 165 5.4k
Shahin Hedayati Kia France 24 2.0k 0.5× 1.4k 0.6× 560 0.5× 448 0.5× 276 0.5× 61 2.3k
Arturo García-Pérez Mexico 27 1.8k 0.5× 991 0.4× 936 0.8× 501 0.6× 468 0.8× 106 2.8k
Rubén Puche‐Panadero Spain 23 1.9k 0.5× 1.1k 0.5× 579 0.5× 427 0.5× 283 0.5× 80 2.1k
Elias G. Strangas United States 32 2.4k 0.6× 1.2k 0.5× 2.6k 2.2× 397 0.4× 150 0.3× 133 4.2k
Javier Rosero García Colombia 22 1.9k 0.5× 860 0.4× 1.4k 1.2× 302 0.3× 153 0.3× 97 2.7k

Countries citing papers authored by M. Riera‐Guasp

Since Specialization
Citations

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

Fields of papers citing papers by M. Riera‐Guasp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Riera‐Guasp

This figure shows the co-authorship network connecting the top 25 collaborators of M. Riera‐Guasp. A scholar is included among the top collaborators of M. Riera‐Guasp 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. Riera‐Guasp. M. Riera‐Guasp 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.
Riera‐Guasp, M., et al.. (2025). Transient analysis of induction machine deep bar current displacement through bar layer model. Mathematics and Computers in Simulation. 240. 317–331.
2.
Capolino, Gérard‐André, Anabela Cardoso, Bilal Akin, et al.. (2023). Committees. 9–10. 1 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.
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
6.
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
7.
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
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.
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
11.
Pineda‐Sanchez, M., et al.. (2012). Enhanced Simulink Induction Motor Model for Education and Maintenance Training. SHILAP Revista de lepidopterología. 9 indexed citations
12.
Pons-Llinares, Joan, et al.. (2012). Electric machines diagnosis techniques via transient current analysis. Research Output (Edinburgh Napier University). 3893–3900. 26 indexed citations
13.
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
14.
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
16.
17.
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
18.
Antonino‐Daviu, Jose A., et al.. (2006). Traditional versus wavelets low-pass filtering in diagnosing of cage asymmetries in induction machines. 119–123. 3 indexed citations
19.
Antonino‐Daviu, Jose A., M. Riera‐Guasp, J. Roger‐Folch, Félix Martı́nez-Giménez, & Alfredo Peris. (2006). Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines. Applied and Computational Harmonic Analysis. 21(2). 268–279. 93 indexed citations
20.
Riera‐Guasp, M., et al.. (2005). The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failures. 1–6. 6 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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