P. Aristimuño

708 total citations
33 papers, 583 citations indexed

About

P. Aristimuño is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, P. Aristimuño has authored 33 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 17 papers in Biomedical Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in P. Aristimuño's work include Advanced machining processes and optimization (26 papers), Advanced Surface Polishing Techniques (15 papers) and Advanced Machining and Optimization Techniques (12 papers). P. Aristimuño is often cited by papers focused on Advanced machining processes and optimization (26 papers), Advanced Surface Polishing Techniques (15 papers) and Advanced Machining and Optimization Techniques (12 papers). P. Aristimuño collaborates with scholars based in Spain, United Kingdom and Sweden. P. Aristimuño's co-authors include P.J. Arrazola, D. Soler, A. Garay, T.H.C. Childs, J.A. Esnaola, Luis María Iriarte, Krzysztof Jemielniak, Xiaochen Zheng, Roberto Pérez and Dimitris Kiritsis and has published in prestigious journals such as Journal of Materials Processing Technology, Applied Thermal Engineering and Mechanical Systems and Signal Processing.

In The Last Decade

P. Aristimuño

31 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Aristimuño Spain 15 485 280 169 91 90 33 583
Mohammad Reza Karafi Iran 13 212 0.4× 119 0.4× 96 0.6× 44 0.5× 21 0.2× 38 389
Rami Eliasi Israel 16 143 0.3× 99 0.4× 133 0.8× 155 1.7× 6 0.1× 27 697
Mohammad Malekian Canada 8 704 1.5× 563 2.0× 471 2.8× 52 0.6× 90 1.0× 12 782
Jérôme Limido France 9 359 0.7× 152 0.5× 49 0.3× 234 2.6× 33 0.4× 27 564
Yeh-Sun Hong South Korea 16 282 0.6× 329 1.2× 106 0.6× 79 0.9× 41 0.5× 38 605
M.A. Davies United States 8 854 1.8× 644 2.3× 270 1.6× 132 1.5× 185 2.1× 18 935
Girish Chandra Verma India 9 292 0.6× 234 0.8× 200 1.2× 72 0.8× 16 0.2× 19 399
Guoqing Zhang China 13 369 0.8× 201 0.7× 80 0.5× 103 1.1× 21 0.2× 49 560
Yu Gao China 14 464 1.0× 79 0.3× 63 0.4× 200 2.2× 7 0.1× 57 686

Countries citing papers authored by P. Aristimuño

Since Specialization
Citations

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

Fields of papers citing papers by P. Aristimuño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Aristimuño

This figure shows the co-authorship network connecting the top 25 collaborators of P. Aristimuño. A scholar is included among the top collaborators of P. Aristimuño 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. Aristimuño. P. Aristimuño 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.
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
2.
Arrazola, P.J., et al.. (2023). A tribological characterisation of Ti-48Al-2Cr-2Nb and Ti-6Al-4V alloys with dry, flood, and MQL lubricants. CIRP journal of manufacturing science and technology. 41. 501–523. 11 indexed citations
3.
Zheng, Xiaochen, et al.. (2022). Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process. Mechanical Systems and Signal Processing. 185. 109812–109812. 32 indexed citations
4.
Soler, D., et al.. (2021). Measurement of plastic strain and plastic strain rate during orthogonal cutting for Ti-6Al-4V. International Journal of Mechanical Sciences. 198. 106397–106397. 14 indexed citations
5.
Soler, D., et al.. (2020). Surface drag analysis after Ti-6Al-4V orthogonal cutting using grid distortion. Procedia CIRP. 87. 372–377. 6 indexed citations
6.
Aristimuño, P., et al.. (2019). FEM modeling of hard turning 42CrMoS4 steel. Procedia CIRP. 82. 77–82. 7 indexed citations
7.
Aristimuño, P., et al.. (2019). A mechanistic model to predict cutting force on orthogonal machining of Aluminum 7475-T7351 considering the edge radius. Procedia CIRP. 82. 32–36. 13 indexed citations
8.
Soler, D., et al.. (2019). Determination of emissivity and temperature of tool rake face when cutting AISI 4140. Procedia Manufacturing. 41. 304–311. 3 indexed citations
9.
Aristimuño, P., et al.. (2019). Analytical modeling of the uncut chip geometry to predict cutting forces in orthogonal centric turn-milling operations. International Journal of Machine Tools and Manufacture. 144. 103428–103428. 20 indexed citations
10.
Soler, D., et al.. (2018). New calibration method to measure rake face temperature of the tool during dry orthogonal cutting using thermography. Applied Thermal Engineering. 137. 74–82. 29 indexed citations
11.
Childs, T.H.C., et al.. (2018). Ti6Al4V metal cutting chip formation experiments and modelling over a wide range of cutting speeds. Journal of Materials Processing Technology. 255. 898–913. 53 indexed citations
12.
Soler, D., et al.. (2018). Determining tool/chip temperatures from thermography measurements in metal cutting. Applied Thermal Engineering. 145. 305–314. 56 indexed citations
13.
Aristimuño, P., et al.. (2016). Heat transferred to the workpiece based on temperature measurements by IR technique in dry and lubricated drilling of Inconel 718. Applied Thermal Engineering. 104. 309–318. 34 indexed citations
14.
Soler, D., P. Aristimuño, A. Garay, et al.. (2015). Finding Correlations between Tool Life and Fundamental Dry Cutting Tests in Finishing Turning of Steel. Procedia Engineering. 132. 615–623. 10 indexed citations
15.
Soler, D., P. Aristimuño, A. Garay, & P.J. Arrazola. (2015). Uncertainty of temperature measurements in dry orthogonal cutting of titanium alloys. Infrared Physics & Technology. 71. 208–216. 13 indexed citations
16.
Arrazola, P.J., P. Aristimuño, D. Soler, & T.H.C. Childs. (2015). Metal cutting experiments and modelling for improved determination of chip/tool contact temperature by infrared thermography. CIRP Annals. 64(1). 57–60. 58 indexed citations
17.
Garay, A., et al.. (2013). EFFECTS OF ROTATIONAL SPEED, FEED RATE AND TOOL TYPE ON TEMPERATURES AND CUTTING FORCES WHEN DRILLING BOVINE CORTICAL BONE. Machining Science and Technology. 17(4). 611–636. 43 indexed citations
18.
Matsumura, Takashi, et al.. (2013). Cutting process in glass peripheral milling. Journal of Materials Processing Technology. 213(9). 1523–1531. 15 indexed citations
19.
Aristimuño, P., et al.. (2008). A study of factors affecting the performance of micro square endmills in milling of hardened tool steels. TNO Repository. 1. 3 indexed citations
20.
Jemielniak, Krzysztof, et al.. (2008). Tool condition monitoring in micromilling based on hierarchical integration of signal measures. CIRP Annals. 57(1). 121–124. 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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