J.L. Cantero

1.4k total citations
44 papers, 1.2k citations indexed

About

J.L. Cantero is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, J.L. Cantero has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanical Engineering, 21 papers in Electrical and Electronic Engineering and 19 papers in Biomedical Engineering. Recurrent topics in J.L. Cantero's work include Advanced machining processes and optimization (30 papers), Advanced Machining and Optimization Techniques (21 papers) and Advanced Surface Polishing Techniques (18 papers). J.L. Cantero is often cited by papers focused on Advanced machining processes and optimization (30 papers), Advanced Machining and Optimization Techniques (21 papers) and Advanced Surface Polishing Techniques (18 papers). J.L. Cantero collaborates with scholars based in Spain, Italy and France. J.L. Cantero's co-authors include María Henar Miguélez, José Díaz‐Álvarez, Mercedes Atienza, Antonio Díaz-Álvarez, M. Marcos, M. Tardı́o, Norberto Feito, H. Miguélez, Rosa M. Salas and Marcos Rodríguez-Millán and has published in prestigious journals such as SLEEP, Journal of Materials Processing Technology and Mechanical Systems and Signal Processing.

In The Last Decade

J.L. Cantero

44 papers receiving 1.1k citations

Peers

J.L. Cantero

EEE

I. A. Palani India

Rao Fu China

Nathan Crane United States

D. E. Hardt United States

Amit Arora India

Zhongning Guo China

Jung‐Ju Lee South Korea

Jianfei Sun China

Lu Zheng China

I. A. Palani India

J.L. Cantero

1.1k ×1.1

411 ×0.7

EEE

579 ×1.1

193 ×1.2

893 ×7.4

Citations per year, relative to J.L. Cantero J.L. Cantero (= 1×) peers I. A. Palani

Countries citing papers authored by J.L. Cantero

Since Specialization

Citations

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

Fields of papers citing papers by J.L. Cantero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.L. Cantero. 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.L. Cantero. The network helps show where J.L. Cantero may publish in the future.

Co-authorship network of co-authors of J.L. Cantero

This figure shows the co-authorship network connecting the top 25 collaborators of J.L. Cantero. A scholar is included among the top collaborators of J.L. Cantero 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.L. Cantero. J.L. Cantero 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

Armingol, José María, et al.. (2024). Spot-checking machine learning algorithms for tool wear monitoring in automatic drilling operations in CFRP/Ti6Al4V/Al stacks in the aircraft industry. Journal of Manufacturing Systems. 77. 96–111. 13 indexed citations

Miguélez, María Henar, et al.. (2023). Analysis of Tool Wear and Hole Delamination for Large-Diameter Drilling of CFRP Aircraft Fuselage Components: Identifying Performance Improvement Drivers and Optimization Opportunities. Journal of Manufacturing and Materials Processing. 7(2). 76–76. 7 indexed citations

Caggiano, Alessandra, et al.. (2023). Multiresolution analysis for tool failure detection in CFRP/Ti6Al4V hybrid stacks drilling in aircraft assembly lines. Mechanical Systems and Signal Processing. 206. 110925–110925. 11 indexed citations

Miguélez, María Henar, et al.. (2022). Machine learning approach in non-intrusive monitoring of tool wear evolution in massive CFRP automatic drilling processes in the aircraft industry. Journal of Manufacturing Systems. 65. 622–639. 38 indexed citations

Díaz‐Álvarez, José, et al.. (2020). Combined analysis of wear mechanisms and delamination in CFRP drilling. Composite Structures. 255. 112774–112774. 41 indexed citations

Cantero, J.L., et al.. (2019). Hybrid Composite-Metal Stack Drilling with Different Minimum Quantity Lubrication Levels. Materials. 12(3). 448–448. 31 indexed citations

Cantero, J.L., et al.. (2019). Tool wear and induced damage in CFRP drilling with step and double point angle drill bits. Procedia Manufacturing. 41. 610–617. 7 indexed citations

Díaz-Álvarez, Antonio, José Díaz‐Álvarez, J.L. Cantero, & H. Miguélez. (2019). Sustainable High-Speed Finishing Turning of Haynes 282 Using Carbide Tools in Dry Conditions. Metals. 9(9). 989–989. 10 indexed citations

Cantero, J.L., et al.. (2018). High Speed Finish Turning of Inconel 718 Using PCBN Tools under Dry Conditions. Metals. 8(3). 192–192. 35 indexed citations

10.

Díaz‐Álvarez, José, et al.. (2018). Study of the performance of PCBN and carbide tools in finishing machining of Inconel 718 with cutting fluid at conventional pressures. Procedia CIRP. 77. 634–637. 16 indexed citations

11.

Rodríguez-Millán, Marcos, José Díaz‐Álvarez, R. Bernier, et al.. (2017). Thermo-Viscoplastic Behavior of Ni-Based Superalloy Haynes 282 and Its Application to Machining Simulation. Metals. 7(12). 561–561. 12 indexed citations

12.

Cantero, J.L., et al.. (2017). Composite Fiber Reinforced Plastic one-shoot drilling: Quality inspection assessment and tool wear evaluation. Procedia Manufacturing. 13. 139–145. 5 indexed citations

13.

Feito, Norberto, José Díaz‐Álvarez, Antonio Díaz-Álvarez, J.L. Cantero, & María Henar Miguélez. (2014). Experimental Analysis of the Influence of Drill Point Angle and Wear on the Drilling of Woven CFRPs. Materials. 7(6). 4258–4271. 80 indexed citations

14.

Cantero, J.L., Carlos Santiuste, Nicolás Marı́n, X. Soldani, & H. Miguélez. (2012). 2D and 3D approaches to simulation of metal and composite cutting. AIP conference proceedings. 651–659. 4 indexed citations

15.

Cantero, J.L., et al.. (2012). Analysis of tool wear patterns in finishing turning of Inconel 718. Wear. 297(1-2). 885–894. 196 indexed citations

16.

Miguélez, María Henar, et al.. (2009). An efficient implementation of boundary conditions in an ALE model for orthogonal cutting. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 47(3). 599–616. 15 indexed citations

17.

Cantero, J.L., Mercedes Atienza, & Rosa M. Salas. (2001). Revista Latinoamericana de Psicología. 33(2). 159–176. 5 indexed citations

18.

Cantero, J.L., Mercedes Atienza, & Rosa M. Salas. (2000). State-modulation of cortico-cortical connections underlying normal EEG alpha variants. Physiology & Behavior. 71(1-2). 107–115. 21 indexed citations

19.

Cantero, J.L. & Mercedes Atienza. (2000). Alpha burst activity during human REM sleep: descriptive study and functional hypotheses. Clinical Neurophysiology. 111(5). 909–915. 31 indexed citations

20.

Cantero, J.L., Mercedes Atienza, Rosa M. Salas, & Carlos M. Gómez. (1999). Alpha power modulation during periods with rapid oculomotor activity in human REM sleep. Neuroreport. 10(9). 1817–1820. 25 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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