José Díaz‐Álvarez

1.5k total citations
53 papers, 1.2k citations indexed

About

José Díaz‐Álvarez is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, José Díaz‐Álvarez has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 25 papers in Biomedical Engineering and 21 papers in Electrical and Electronic Engineering. Recurrent topics in José Díaz‐Álvarez's work include Advanced machining processes and optimization (35 papers), Advanced Surface Polishing Techniques (20 papers) and Advanced Machining and Optimization Techniques (18 papers). José Díaz‐Álvarez is often cited by papers focused on Advanced machining processes and optimization (35 papers), Advanced Surface Polishing Techniques (20 papers) and Advanced Machining and Optimization Techniques (18 papers). José Díaz‐Álvarez collaborates with scholars based in Spain, United Kingdom and United States. José Díaz‐Álvarez's co-authors include María Henar Miguélez, J.L. Cantero, Norberto Feito, Antonio Díaz-Álvarez, H. Miguélez, J. López-Puente, Carlos Santiuste, Alberto Tapetado, Carmen Vázquez and Marcos Rodríguez-Millán and has published in prestigious journals such as Advanced Materials, Sensors and Wear.

In The Last Decade

José Díaz‐Álvarez

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Díaz‐Álvarez Spain 19 972 605 517 238 115 53 1.2k
Liang Li China 22 1.1k 1.2× 444 0.7× 698 1.4× 314 1.3× 135 1.2× 112 1.5k
Chunzheng Duan China 19 840 0.9× 220 0.4× 465 0.9× 148 0.6× 75 0.7× 64 942
R. Rentsch Germany 14 1.0k 1.0× 431 0.7× 735 1.4× 224 0.9× 148 1.3× 40 1.2k
Changyong Yang China 17 858 0.9× 319 0.5× 497 1.0× 157 0.7× 53 0.5× 40 966
H. S. Shan India 21 1.1k 1.2× 717 1.2× 840 1.6× 102 0.4× 76 0.7× 49 1.3k
Xiuting Wei China 18 688 0.7× 472 0.8× 420 0.8× 148 0.6× 41 0.4× 61 998
Amir Abdullah Iran 24 1.1k 1.1× 577 1.0× 668 1.3× 213 0.9× 55 0.5× 66 1.4k
Dipten Misra India 19 773 0.8× 138 0.2× 195 0.4× 232 1.0× 138 1.2× 48 1.1k
Xiaoliang Jin Canada 22 1.3k 1.3× 548 0.9× 771 1.5× 154 0.6× 171 1.5× 75 1.4k
Donghui Wen China 20 433 0.4× 281 0.5× 397 0.8× 164 0.7× 23 0.2× 53 953

Countries citing papers authored by José Díaz‐Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by José Díaz‐Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Díaz‐Álvarez. 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 José Díaz‐Álvarez. The network helps show where José Díaz‐Álvarez may publish in the future.

Co-authorship network of co-authors of José Díaz‐Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of José Díaz‐Álvarez. A scholar is included among the top collaborators of José Díaz‐Álvarez 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 José Díaz‐Álvarez. José Díaz‐Álvarez 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.
Díaz‐Álvarez, José, et al.. (2025). Design and mechanics of stackable auxetic S-shaped structures. European Journal of Mechanics - A/Solids. 116. 105874–105874.
2.
Díaz‐Álvarez, José, et al.. (2024). Printable and Tunable Bioresin with Strategically Decorated Molecular Structures. Advanced Materials. 37(4). e2412338–e2412338.
3.
Díaz‐Álvarez, José, et al.. (2024). Development, 3D printing, and mechanics of novel auxetic unit cell monostructures. Thin-Walled Structures. 208. 112859–112859. 4 indexed citations
4.
Díaz‐Álvarez, José, et al.. (2023). “FLIPPED ASSESSMENT”: Proposal for a Self-Assessment Method to Improve Learning in the Field of Manufacturing Technologies. Education Sciences. 13(8). 831–831. 1 indexed citations
5.
Díaz‐Álvarez, José, et al.. (2023). Influence of PMMA 3D Printing Geometries on the Mechanical Response. Key engineering materials. 958. 31–39. 1 indexed citations
6.
Díaz-Álvarez, Antonio, et al.. (2023). Machinability of 3D printed peek reinforced with short carbon fiber. Composites Part C Open Access. 12. 100387–100387. 11 indexed citations
7.
Wood, Paul, José Díaz‐Álvarez, A. Rusinek, et al.. (2023). Microstructure Effects on the Machinability of AM-Produced Superalloys. Crystals. 13(8). 1190–1190. 6 indexed citations
8.
9.
Wood, Paul, Antonio Díaz-Álvarez, José Díaz‐Álvarez, et al.. (2020). Machinability of INCONEL718 Alloy with a Porous Microstructure Produced by Laser Melting Powder Bed Fusion at Higher Energy Densities. Materials. 13(24). 5730–5730. 5 indexed citations
10.
Díaz‐Álvarez, José, et al.. (2020). Combined analysis of wear mechanisms and delamination in CFRP drilling. Composite Structures. 255. 112774–112774. 41 indexed citations
11.
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
12.
Rodríguez-Millán, Marcos, Antonio Díaz-Álvarez, J. Aranda-Ruiz, José Díaz‐Álvarez, & J.A. Loya. (2018). Experimental analysis for stabbing resistance of different aramid composite architectures. Composite Structures. 208. 525–534. 23 indexed citations
13.
Díaz‐Álvarez, José, et al.. (2018). Influence of the undeformed chip cross section in finishing turning of Inconel 718 with PCBN tools. Procedia CIRP. 77. 122–125. 1 indexed citations
14.
Díaz‐Álvarez, José, Alberto Tapetado, Carmen Vázquez, & H. Miguélez. (2017). Temperature Measurement and Numerical Prediction in Machining Inconel 718. Sensors. 17(7). 1531–1531. 47 indexed citations
15.
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
16.
Soldani, X., et al.. (2017). Numerical modeling of instabilities during machining of aeronautical alloy. Procedia Manufacturing. 13. 36–42. 2 indexed citations
17.
Tapetado, Alberto, Luis Enrique García-Muñoz, José Díaz‐Álvarez, María Henar Miguélez, & Carmen Vázquez. (2016). Optical-fiber pyrometer positioning accuracy analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9916. 99160F–99160F. 2 indexed citations
18.
Tapetado, Alberto, José Díaz‐Álvarez, H. Miguélez, & Carmen Vázquez. (2016). Fiber-Optic Pyrometer for Very Localized Temperature Measurements in a Turning Process. IEEE Journal of Selected Topics in Quantum Electronics. 23(2). 278–283. 19 indexed citations
19.
Tapetado, Alberto, José Díaz‐Álvarez, María Henar Miguélez, & Carmen Vázquez. (2016). Two-Color Pyrometer for Process Temperature Measurement During Machining. Journal of Lightwave Technology. 34(4). 1380–1386. 52 indexed citations
20.
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

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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