J.A. Pérez-Benítez

851 total citations
49 papers, 611 citations indexed

About

J.A. Pérez-Benítez is a scholar working on Electronic, Optical and Magnetic Materials, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, J.A. Pérez-Benítez has authored 49 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electronic, Optical and Magnetic Materials, 34 papers in Mechanical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in J.A. Pérez-Benítez's work include Magnetic Properties and Applications (36 papers), Non-Destructive Testing Techniques (29 papers) and Microstructure and Mechanical Properties of Steels (14 papers). J.A. Pérez-Benítez is often cited by papers focused on Magnetic Properties and Applications (36 papers), Non-Destructive Testing Techniques (29 papers) and Microstructure and Mechanical Properties of Steels (14 papers). J.A. Pérez-Benítez collaborates with scholars based in Mexico, Brazil and Cuba. J.A. Pérez-Benítez's co-authors include Linilson Rodrigues Padovese, J.H. Espina-Hernández, J. Capó-Sánchez, J.M. Hallen, F. Caleyo, J. Anglada‐Rivera, Tu Le Manh, J. de la Rosa, R. Größinger and Thierry Baudin and has published in prestigious journals such as Journal of Applied Physics, Physical Review B and Expert Systems with Applications.

In The Last Decade

J.A. Pérez-Benítez

46 papers receiving 597 citations

Peers

J.A. Pérez-Benítez

EOMM

AMPO

EEE

J.H. Espina-Hernández Mexico

Yifan Gu China

Chang Cai China

Kaifeng Dong China

Eero Willman United Kingdom

Jungkwuen An South Korea

Wei Dong China

H. Saotome Japan

L. A. Aguilera-Cortés Mexico

J.H. Espina-Hernández Mexico

J.A. Pérez-Benítez

402 ×0.8

221 ×0.5

EOMM

48 ×0.4

AMPO

66 ×0.7

EEE

102 ×1.2

Citations per year, relative to J.A. Pérez-Benítez J.A. Pérez-Benítez (= 1×) peers J.H. Espina-Hernández

Countries citing papers authored by J.A. Pérez-Benítez

Since Specialization

Citations

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

Fields of papers citing papers by J.A. Pérez-Benítez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Pérez-Benítez. 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 J.A. Pérez-Benítez. The network helps show where J.A. Pérez-Benítez may publish in the future.

Co-authorship network of co-authors of J.A. Pérez-Benítez

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Pérez-Benítez. A scholar is included among the top collaborators of J.A. Pérez-Benítez 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 J.A. Pérez-Benítez. J.A. Pérez-Benítez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pérez-Benítez, J.A., et al.. (2024). Streamlining Barkhausen effect measurements: A simplified apparatus approach. Measurement. 242. 115945–115945.

Pérez-Benítez, J.A., et al.. (2024). A three-dimensional numerical model for computing the actual voltage induced in a Barkhausen surface coil. Journal of Magnetism and Magnetic Materials. 599. 172114–172114. 2 indexed citations

Pérez-Benítez, J.A., et al.. (2023). A Review of Formulations, Boundary Value Problems and Solutions for Numerical Computation of Transcranial Magnetic Stimulation Fields. Brain Sciences. 13(8). 1142–1142. 3 indexed citations

Manh, Tu Le, et al.. (2023). Magnetic field patterns as a tool for stress estimation in steel samples. Measurement Science and Technology. 35(1). 15022–15022. 3 indexed citations

Gallegos‐Funes, Francisco J., et al.. (2021). A novel monitor for practical brain-computer interface applications based on visual evoked potential. 8(1-2). 1–13. 5 indexed citations

Manh, Tu Le, et al.. (2020). Enhancing the precision of magnetocrystalline anisotropy energy estimation from Barkhausen Noise using a deep neural network. Materials Today Communications. 24. 101145–101145. 6 indexed citations

Manh, Tu Le, F. Caleyo, J.M. Hallen, J.H. Espina-Hernández, & J.A. Pérez-Benítez. (2018). Model for the correlation between magnetocrystalline energy and Barkhausen noise in ferromagnetic materials. Journal of Magnetism and Magnetic Materials. 454. 155–164. 21 indexed citations

Espina-Hernández, J.H., et al.. (2018). Classification of artificial near-side cracks in aluminium plates using a GMR-based eddy current probe. 31–36. 5 indexed citations

Manh, Tu Le, et al.. (2017). Novel method for the accurate determination of magnetocrystalline energy from Barkhausen noise in ferromagnetic materials. Materials Science and Engineering B. 225. 98–107. 15 indexed citations

10.

Espina-Hernández, J.H., et al.. (2016). A magnetic perturbation GMR-based probe for the nondestructive evaluation of surface cracks in ferromagnetic steels. NDT & E International. 79. 132–141. 19 indexed citations

11.

Pérez-Benítez, J.A., et al.. (2015). Novel data condensing method using a prototype׳s front propagation algorithm. Engineering Applications of Artificial Intelligence. 39. 181–197. 4 indexed citations

12.

Pérez-Benítez, J.A., et al.. (2015). Influence of frequency of the excitation magnetic field and material's electric conductivity on domain wall dynamics in ferromagnetic materials. Journal of Magnetism and Magnetic Materials. 401. 287–295. 9 indexed citations

13.

Pérez-Benítez, J.A., et al.. (2015). Some Particularities of EC Crack Detection in Aluminum using an Asymmetrical GMR-Coil Configuration. IEEE Latin America Transactions. 13(5). 1331–1339. 3 indexed citations

14.

Pérez-Benítez, J.A., et al.. (2013). Analysis of the influence of some magnetizing parameters on magnetic Barkhausen noise using a microscopic model. Journal of Magnetism and Magnetic Materials. 347. 51–60. 32 indexed citations

15.

Pérez-Benítez, J.A., et al.. (2013). Finite differences software for the numeric analysis of a non-destructive electromagnetic testing system. 1. 82–86. 1 indexed citations

16.

Campos, Marcos Flávio de, et al.. (2012). Comparison of the Magnetic Barkhausen Noise for Low Carbon Steel in Deformed and Annealed Conditions. IEEE Transactions on Magnetics. 49(4). 1305–1309. 5 indexed citations

17.

Pérez-Benítez, J.A. & Linilson Rodrigues Padovese. (2012). A system for classification of time-series data from industrial non-destructive device. Engineering Applications of Artificial Intelligence. 26(3). 974–983. 1 indexed citations

18.

Pérez-Benítez, J.A. & Linilson Rodrigues Padovese. (2011). Feature Selection and Neural Network for analysis of microstructural changes in magnetic materials. Expert Systems with Applications. 38(8). 10547–10553. 20 indexed citations

19.

Capó-Sánchez, J., et al.. (2008). Characterization of the elastic–plastic region in AISI/SAE 1070 steel by the magnetic barkhausen noise. NDT & E International. 41(8). 656–659. 30 indexed citations

20.

Capó-Sánchez, J., J.A. Pérez-Benítez, & Linilson Rodrigues Padovese. (2006). Analysis of the stress dependent magnetic easy axis in ASTM 36 steel by the magnetic Barkhausen noise. NDT & E International. 40(2). 168–172. 24 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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