David Granados‐Lieberman

1.3k total citations
62 papers, 1000 citations indexed

About

David Granados‐Lieberman is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, David Granados‐Lieberman has authored 62 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 43 papers in Control and Systems Engineering and 13 papers in Mechanical Engineering. Recurrent topics in David Granados‐Lieberman's work include Machine Fault Diagnosis Techniques (27 papers), Power Quality and Harmonics (21 papers) and Power Transformer Diagnostics and Insulation (17 papers). David Granados‐Lieberman is often cited by papers focused on Machine Fault Diagnosis Techniques (27 papers), Power Quality and Harmonics (21 papers) and Power Transformer Diagnostics and Insulation (17 papers). David Granados‐Lieberman collaborates with scholars based in Mexico, Colombia and Spain. David Granados‐Lieberman's co-authors include Martin Valtierra‐Rodriguez, René de Jesús Romero-Troncoso, Roque A. Osornio‐Rios, Arturo García-Pérez, Juan P. Amézquita-Sánchez, Eduardo Cabal‐Yépez, J. F. Gómez‐Aguilar, David Camarena‐Martinez, Juan C. Olivares-Galván and R. Escarela-Pérez and has published in prestigious journals such as Energy Conversion and Management, Sensors and IEEE Transactions on Energy Conversion.

In The Last Decade

David Granados‐Lieberman

58 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Granados‐Lieberman Mexico 19 598 525 220 119 105 62 1000
Rui Zhou China 12 345 0.6× 332 0.6× 130 0.6× 29 0.2× 56 0.5× 89 714
Yunmei Fang China 15 331 0.6× 638 1.2× 112 0.5× 15 0.1× 62 0.6× 43 925
Alessandro Mingotti Italy 16 663 1.1× 264 0.5× 126 0.6× 82 0.7× 25 0.2× 99 780
Ahmad Darabi Iran 17 574 1.0× 424 0.8× 173 0.8× 187 1.6× 28 0.3× 111 1.5k
Zhilong Huang China 20 111 0.2× 233 0.4× 256 1.2× 26 0.2× 525 5.0× 83 1.2k
Henry Hong Canada 12 223 0.4× 787 1.5× 155 0.7× 28 0.2× 65 0.6× 42 989
Luiz Eduardo Borges da Silva Brazil 15 530 0.9× 735 1.4× 298 1.4× 89 0.7× 63 0.6× 63 1.0k
Gilberto Pin Italy 16 167 0.3× 728 1.4× 45 0.2× 16 0.1× 99 0.9× 79 872
Yongming Yang China 14 272 0.5× 354 0.7× 237 1.1× 82 0.7× 193 1.8× 52 756

Countries citing papers authored by David Granados‐Lieberman

Since Specialization
Citations

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

Fields of papers citing papers by David Granados‐Lieberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Granados‐Lieberman. 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 David Granados‐Lieberman. The network helps show where David Granados‐Lieberman may publish in the future.

Co-authorship network of co-authors of David Granados‐Lieberman

This figure shows the co-authorship network connecting the top 25 collaborators of David Granados‐Lieberman. A scholar is included among the top collaborators of David Granados‐Lieberman 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 David Granados‐Lieberman. David Granados‐Lieberman 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
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Rodriguez‐Rodrıguez, Juan Ramón, et al.. (2024). Power hardware in the loop methodology applied in the integration of wind energy conversion system under fluctuations: a case study. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 2767–2791. 2 indexed citations
4.
Camarena‐Martinez, David, et al.. (2024). Variational Mode Decomposition-Based Processing for Detection of Short-Circuited Turns in Transformers Using Vibration Signals and Machine Learning. Electronics. 13(7). 1215–1215. 4 indexed citations
5.
Granados‐Lieberman, David, et al.. (2023). Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals. Applied Sciences. 13(22). 12218–12218. 4 indexed citations
6.
Nam, Hoseok, Hoseok Nam, David Granados‐Lieberman, et al.. (2023). Experimental and numerical investigation on a solar-driven torrefaction reactor using woody waste (Ashe Juniper). Energy Conversion and Management. 288. 117114–117114. 17 indexed citations
7.
Amézquita-Sánchez, Juan P., et al.. (2023). Electrocardiogram Analysis by Means of Empirical Mode Decomposition-Based Methods and Convolutional Neural Networks for Sudden Cardiac Death Detection. Applied Sciences. 13(6). 3569–3569. 15 indexed citations
8.
Amézquita-Sánchez, Juan P., et al.. (2022). Detection of Multiple Faults in a Low-Power Wind Turbine by using Convolutional Neural Networks. 36. 1–6. 2 indexed citations
9.
Amézquita-Sánchez, Juan P., et al.. (2020). Predictive Data Mining Techniques for Fault Diagnosis of Electric Equipment: A Review. Applied Sciences. 10(3). 950–950. 21 indexed citations
10.
Sánchez, Roberto Tapia, et al.. (2019). Reactive Power Compensation in Distribution Systems Through the DSTATCOM Integration Based on the Bond Graph Domain. Arabian Journal for Science and Engineering. 45(3). 1435–1446. 5 indexed citations
11.
Escobar-Jiménez, R.F., et al.. (2019). Electrochemical noise analysis to identify the corrosion type using the Stockwell transform and the Shannon energy. Journal of Electroanalytical Chemistry. 836. 50–61. 22 indexed citations
12.
Valtierra‐Rodriguez, Martin, et al.. (2018). A Power Hardware-In-the-Loop Scheme for Load Emulation Applications. 1–6. 1 indexed citations
13.
Valtierra‐Rodriguez, Martin, et al.. (2018). Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances. Electronics. 7(12). 433–433. 9 indexed citations
14.
Valtierra‐Rodriguez, Martin, et al.. (2017). Experimental data-based transient-stationary current model for inter-turn fault diagnostics in a transformer. Electric Power Systems Research. 152. 306–315. 13 indexed citations
15.
Granados‐Lieberman, David, et al.. (2017). A new EMD-Shannon entropy-based methodology for detection of inter-turn faults in transformers. 6. 1–6. 4 indexed citations
16.
Amézquita-Sánchez, Juan P., et al.. (2017). A scheme based on PMU data for power quality disturbances monitoring. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 3270–3275. 5 indexed citations
17.
Granados‐Lieberman, David, et al.. (2017). Instantaneous Power Quality Indices Based on Single-Sideband Modulation and Wavelet Packet-Hilbert Transform. IEEE Transactions on Instrumentation and Measurement. 66(5). 1021–1031. 45 indexed citations
18.
Valtierra‐Rodriguez, Martin, et al.. (2017). The application of EMD-based methods for diagnosis of winding faults in a transformer using transient and steady state currents. Measurement. 117. 371–379. 50 indexed citations
19.
Amézquita-Sánchez, Juan P., et al.. (2017). Detection of unbalance in a wind turbine by using wavelet packet transform and vibration signals. 2. 1–6. 2 indexed citations
20.
Gómez‐Aguilar, J. F., et al.. (2014). A physical interpretation of fractional calculus in observables terms: analysis of the fractional time constant and the transitory response. Revista Mexicana de Física. 60(1). 32–38. 64 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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