P.J. Arrazola

7.1k total citations · 2 hit papers
192 papers, 5.7k citations indexed

About

P.J. Arrazola is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, P.J. Arrazola has authored 192 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Mechanical Engineering, 114 papers in Biomedical Engineering and 64 papers in Electrical and Electronic Engineering. Recurrent topics in P.J. Arrazola's work include Advanced machining processes and optimization (162 papers), Advanced Surface Polishing Techniques (106 papers) and Advanced Machining and Optimization Techniques (64 papers). P.J. Arrazola is often cited by papers focused on Advanced machining processes and optimization (162 papers), Advanced Surface Polishing Techniques (106 papers) and Advanced Machining and Optimization Techniques (64 papers). P.J. Arrazola collaborates with scholars based in Spain, France and Belgium. P.J. Arrazola's co-authors include Tuğrul Özel, A. Garay, Domenico Umbrello, M.A. Davies, I.S. Jawahir, Mikel Armendia, Luis María Iriarte, P. Aristimuño, J. Rech and A. Madariaga and has published in prestigious journals such as Scientific Reports, Kidney International and Materials Science and Engineering A.

In The Last Decade

P.J. Arrazola

188 papers receiving 5.4k citations

Hit Papers

Recent advances in modelling of metal machining processes 2008 2026 2014 2020 2013 2008 200 400 600

Peers

P.J. Arrazola
J. Rech France
M. Rahman Singapore
D.K. Aspinwall United Kingdom
E. O. Ezugwu United Kingdom
P.J. Arrazola
Citations per year, relative to P.J. Arrazola P.J. Arrazola (= 1×) peers Domenico Umbrello

Countries citing papers authored by P.J. Arrazola

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Arrazola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.J. Arrazola

This figure shows the co-authorship network connecting the top 25 collaborators of P.J. Arrazola. A scholar is included among the top collaborators of P.J. Arrazola 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 P.J. Arrazola. P.J. Arrazola 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.
Madariaga, A., et al.. (2025). Improved surface integrity in Inconel 718 using small diameter hammer peening tools. Chinese Journal of Aeronautics. 38(7). 103554–103554. 1 indexed citations
3.
Aristimuño, P., et al.. (2025). A novel computational approach using receptance coupling substructure analysis for prediction of tool tip dynamics in industrial machining applications. International Journal of Machine Tools and Manufacture. 209. 104296–104296. 2 indexed citations
4.
Arrazola, P.J., et al.. (2024). Effect of Cutting Conditions on Surface Integrity when Robotic Drilling of Aluminum 6082-GFRP Stacks. Procedia CIRP. 123. 428–433. 1 indexed citations
5.
Arrazola, P.J., et al.. (2024). Effect of Material Extrusion Method on the Microstructure and Mechanical Properties of Copper Parts. Metals. 14(8). 941–941. 2 indexed citations
6.
Madariaga, A., et al.. (2024). Broaching Digital Twin to Predict Forces, Local Overloads, and Surface Topography Irregularities. Materials. 17(22). 5471–5471.
7.
Quintana, Iban, et al.. (2023). Effect of Post-Processing Treatment on Fatigue Performance of Ti6Al4V Alloy Manufactured by Laser Powder Bed Fusion. Journal of Manufacturing and Materials Processing. 7(4). 119–119. 4 indexed citations
8.
Ducobu, François, et al.. (2023). A mechanistic-finite element hybrid approach to modelling cutting forces when drilling GFRP-AISI 304 stacks. CIRP Annals. 72(1). 69–72. 5 indexed citations
9.
Madariaga, A., et al.. (2023). Mechanical Properties and Fatigue Performance of 17-4 PH Stainless Steel Manufactured by Atomic Diffusion Additive Manufacturing Technology. Journal of Manufacturing and Materials Processing. 7(5). 172–172. 9 indexed citations
10.
Rivière-Lorphèvre, Édouard, et al.. (2022). Influence of Coulomb’s Friction Coefficient in Finite Element Modeling of Orthogonal Cutting of Ti6Al4V. Key engineering materials. 926. 1619–1628. 3 indexed citations
11.
Arrazola, P.J., et al.. (2021). Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation. International Journal of Computer Integrated Manufacturing. 35(2). 203–227. 12 indexed citations
12.
Childs, T.H.C., et al.. (2021). Physical modelling with experimental validation of high ductility metal cutting chip formation illustrated by copper machining. International Journal of Machine Tools and Manufacture. 173. 103847–103847. 14 indexed citations
13.
Courbon, C., et al.. (2020). The contribution of microstructure and friction in broaching Ferrite–Pearlite steels. CIRP Annals. 69(1). 57–60. 4 indexed citations
14.
Ayed, Yessine, et al.. (2019). Tool wear and cutting forces when machining inconel 718 under cryogenic conditions: Liquid nitrogen and carbon dioxide. AIP conference proceedings. 2113. 80002–80002. 13 indexed citations
15.
Melkote, Shreyes N., Wit Grzesik, J.C. Outeiro, et al.. (2017). Advances in material and friction data for modelling of metal machining. CIRP Annals. 66(2). 731–754. 232 indexed citations
16.
Garay, A., et al.. (2016). Mechanical characterization and modelling of Inconel 718 material behavior for machining process assessment. Materials Science and Engineering A. 682. 441–453. 103 indexed citations
17.
Arrazola, P.J., et al.. (2013). Thermo Mechanical Loads in Ti-6Al-4V Machining. Key engineering materials. 554-557. 2047–2053. 1 indexed citations
18.
Klocke, Fritz, et al.. (2008). Investigation on Force Sensor Dynamics and Their Measurement Characteristics. 45–52. 5 indexed citations
19.
Arrazola, P.J., et al.. (2007). SERRATED CHIP PREDICTION IN FINITE ELEMENT MODELING OF THE CHIP FORMATION PROCESS. Machining Science and Technology. 11(3). 367–390. 40 indexed citations
20.
Kong, Norella, Jiřı́ Beran, José M. Bayas, et al.. (2005). Immunogenicity and safety of an adjuvanted hepatitis B vaccine in pre-hemodialysis and hemodialysis patients. Kidney International. 68(5). 2298–2303. 160 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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