Amir Malakizadi

1.0k total citations
33 papers, 794 citations indexed

About

Amir Malakizadi is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Amir Malakizadi has authored 33 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 14 papers in Materials Chemistry and 13 papers in Biomedical Engineering. Recurrent topics in Amir Malakizadi's work include Advanced machining processes and optimization (25 papers), Metal Alloys Wear and Properties (12 papers) and Advanced Surface Polishing Techniques (11 papers). Amir Malakizadi is often cited by papers focused on Advanced machining processes and optimization (25 papers), Metal Alloys Wear and Properties (12 papers) and Advanced Surface Polishing Techniques (11 papers). Amir Malakizadi collaborates with scholars based in Sweden, Iran and Germany. Amir Malakizadi's co-authors include Lars Nyborg, Peter Krajnik, Rachid M’Saoubi, Stefan Cedergren, M. Ibrahim Sadik, Sasan Dadbakhsh, Dinesh Mallipeddi, Philipp Hoier, Hans Gruber and Uta Klement and has published in prestigious journals such as Journal of Materials Processing Technology, Wear and International Journal of Machine Tools and Manufacture.

In The Last Decade

Amir Malakizadi

33 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Malakizadi Sweden 16 745 233 229 208 154 33 794
Frederik Zanger Germany 15 749 1.0× 218 0.9× 379 1.7× 205 1.0× 122 0.8× 97 817
E. Feldshtein Poland 16 892 1.2× 214 0.9× 198 0.9× 280 1.3× 182 1.2× 78 967
Chunzheng Duan China 19 840 1.1× 264 1.1× 465 2.0× 220 1.1× 148 1.0× 64 942
Y. B. Guo United States 12 512 0.7× 135 0.6× 215 0.9× 133 0.6× 85 0.6× 30 588
R. Polvorosa Spain 12 712 1.0× 174 0.7× 277 1.2× 340 1.6× 154 1.0× 15 814
Shichao Xiu China 15 701 0.9× 227 1.0× 412 1.8× 174 0.8× 180 1.2× 86 827
Thilo Grove Germany 17 749 1.0× 156 0.7× 477 2.1× 238 1.1× 132 0.9× 76 854
Hamid Makich France 15 505 0.7× 126 0.5× 144 0.6× 135 0.6× 157 1.0× 28 581
Juntang Yuan China 20 981 1.3× 233 1.0× 170 0.7× 137 0.7× 268 1.7× 65 1.1k
Stano Imbrogno Italy 14 592 0.8× 134 0.6× 156 0.7× 131 0.6× 70 0.5× 32 608

Countries citing papers authored by Amir Malakizadi

Since Specialization
Citations

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

Fields of papers citing papers by Amir Malakizadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Malakizadi

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Malakizadi. A scholar is included among the top collaborators of Amir Malakizadi 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 Amir Malakizadi. Amir Malakizadi 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.
Malakizadi, Amir & Rachid M’Saoubi. (2025). A physics-based flow stress model for cutting simulation of additively manufactured Alloy 718. CIRP Annals. 74(1). 113–117. 1 indexed citations
2.
Malakizadi, Amir, et al.. (2023). Towards an accurate estimation of heat flux distribution in metal cutting by machine learning. Procedia CIRP. 117. 359–364. 2 indexed citations
3.
Malakizadi, Amir, et al.. (2023). A physics-based constitutive model for machining simulation of Ti-6Al-4V titanium alloy. Procedia CIRP. 117. 335–340. 3 indexed citations
4.
Malakizadi, Amir, et al.. (2023). An enhanced semi-analytical estimation of tool-chip interface temperature in metal cutting. Journal of Manufacturing Processes. 105. 407–430. 6 indexed citations
5.
Hoier, Philipp, Bahman Azarhoushang, Amir Malakizadi, et al.. (2021). Influence of batch-to-batch material variations on grindability of a medium‑carbon steel. Journal of Manufacturing Processes. 73. 463–470. 4 indexed citations
6.
Malakizadi, Amir, Bin Shi, Philipp Hoier, Helmi Attia, & Peter Krajnik. (2020). Physics-based approach for predicting dissolution‒diffusion tool wear in machining. CIRP Annals. 69(1). 81–84. 18 indexed citations
7.
Malakizadi, Amir, et al.. (2020). A thermomechanically motivated approach for identification of flow stress properties in metal cutting. The International Journal of Advanced Manufacturing Technology. 111(3-4). 1055–1068. 3 indexed citations
8.
Hoier, Philipp, Amir Malakizadi, Uta Klement, & Peter Krajnik. (2019). Characterization of abrasion- and dissolution-induced tool wear in machining. Wear. 426-427. 1548–1562. 19 indexed citations
9.
Malakizadi, Amir, et al.. (2019). FE modeling and simulation of machining Alloy 718 based on ductile continuum damage. International Journal of Mechanical Sciences. 171. 105375–105375. 25 indexed citations
10.
Hoier, Philipp, et al.. (2019). Microstructural variations in 316L austenitic stainless steel and their influence on tool wear in machining. Wear. 428-429. 315–327. 35 indexed citations
11.
12.
Hoier, Philipp, et al.. (2018). Microstructural characteristics of Alloy 718 and Waspaloy and their influence on flank wear during turning. Wear. 400-401. 184–193. 34 indexed citations
13.
Sadik, M. Ibrahim, et al.. (2018). Effect of cryogenic cooling and tool wear on surface integrity of turned Ti-6Al-4V. Procedia CIRP. 71. 254–259. 23 indexed citations
14.
Hoier, Philipp, Amir Malakizadi, Peter Krajnik, & Uta Klement. (2018). Study of flank wear topography and surface-deformation of cemented carbide tools after turning Alloy 718. Procedia CIRP. 77. 537–540. 8 indexed citations
15.
Ahlström, Johan, et al.. (2016). Mechanical properties and fatigue behaviour of railway wheel steels as influenced by mechanical and thermal loadings. Wear. 366-367. 407–415. 37 indexed citations
16.
Ahlström, Johan, et al.. (2015). Mechanical properties and fatigue behavior of railway wheel steels as influenced by mechanical and thermal loadings. Chalmers Research (Chalmers University of Technology). 1 indexed citations
17.
Malakizadi, Amir, Stefan Cedergren, Kumar Babu Surreddi, & Lars Nyborg. (2013). A methodology to evaluate the machinability of Alloy 718 by means of FE simulation. 95–106. 12 indexed citations
18.
Malakizadi, Amir, et al.. (2013). Wear Mechanism of CBN Inserts During Machining of Bimetal Aluminum-grey Cast Iron Engine Block. Procedia CIRP. 8. 188–193. 26 indexed citations
19.
Malakizadi, Amir, et al.. (2010). Critical aspects of sinter-hardening of prealloyed Cr–Mo steel. Journal of Materials Processing Technology. 210(9). 1180–1189. 24 indexed citations
20.
Malakizadi, Amir, et al.. (2009). High Cycle Fatigue Life Assessment of a Heavy Duty Diesel Engine Cylinder Head. Chalmers Research (Chalmers University of Technology). 543–552. 3 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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