Kaan Inal

4.9k total citations · 1 hit paper
120 papers, 4.0k citations indexed

About

Kaan Inal is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Kaan Inal has authored 120 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Mechanical Engineering, 70 papers in Materials Chemistry and 64 papers in Mechanics of Materials. Recurrent topics in Kaan Inal's work include Metal Forming Simulation Techniques (63 papers), Microstructure and mechanical properties (60 papers) and Metallurgy and Material Forming (45 papers). Kaan Inal is often cited by papers focused on Metal Forming Simulation Techniques (63 papers), Microstructure and mechanical properties (60 papers) and Metallurgy and Material Forming (45 papers). Kaan Inal collaborates with scholars based in Canada, United States and Germany. Kaan Inal's co-authors include Abhijit Brahme, Raja K. Mishra, Waqas Muhammad, Haitham El Kadiri, Christopher D. Barrett, K.W. Neale, Aidin Imandoust, Christopher P. Kohar, R.K. Mishra and Julie Lévesque and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scientific Reports.

In The Last Decade

Kaan Inal

118 papers receiving 3.9k citations

Hit Papers

A review on the effect of rare-earth elements on texture ... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review on the effect of rare-earth elements on texture evolution during processing of magnesium alloys
    2016 395 citations Kaan Inal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaan Inal Canada 36 3.2k 2.2k 1.8k 1.1k 564 120 4.0k
Gwénaëlle Proust Australia 34 2.3k 0.7× 1.8k 0.8× 905 0.5× 1.2k 1.0× 290 0.5× 97 3.2k
A.A. Benzerga United States 39 4.5k 1.4× 3.5k 1.6× 3.3k 1.8× 670 0.6× 434 0.8× 110 5.6k
Yanyao Jiang United States 46 5.2k 1.7× 2.0k 0.9× 3.1k 1.7× 2.4k 2.1× 723 1.3× 130 6.2k
Guilin Wu China 31 4.1k 1.3× 3.0k 1.4× 1.2k 0.6× 694 0.6× 1.1k 2.0× 215 5.2k
Thomas Gnäupel-Herold United States 26 3.0k 0.9× 1.3k 0.6× 868 0.5× 642 0.6× 777 1.4× 87 3.5k
Javier Segurado Spain 44 3.1k 1.0× 2.5k 1.2× 3.3k 1.8× 496 0.4× 588 1.0× 109 5.8k
Jürgen Hirsch Germany 25 3.9k 1.2× 3.1k 1.4× 1.8k 1.0× 713 0.6× 2.4k 4.2× 96 4.9k
Hao Zhou China 39 4.9k 1.6× 2.6k 1.2× 1.2k 0.7× 1.9k 1.6× 1.9k 3.3× 135 5.7k
Farhang Pourboghrat United States 32 3.5k 1.1× 1.7k 0.8× 3.1k 1.7× 369 0.3× 338 0.6× 105 4.5k
Hans J. Roven Norway 43 3.9k 1.2× 3.2k 1.4× 1.2k 0.6× 1.4k 1.2× 1.9k 3.4× 131 4.8k

Countries citing papers authored by Kaan Inal

Since Specialization
Citations

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

Fields of papers citing papers by Kaan Inal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaan Inal

This figure shows the co-authorship network connecting the top 25 collaborators of Kaan Inal. A scholar is included among the top collaborators of Kaan Inal 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 Kaan Inal. Kaan Inal 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.
Muhammad, Waqas, et al.. (2025). Thermodynamically consistent damage evolution model coupled with rate-dependent crystal plasticity: Application to high-strength low alloy steel at various strain rates. International Journal of Plasticity. 186. 104255–104255. 5 indexed citations
2.
Brahme, Abhijit, et al.. (2025). A generalizable machine learning-assisted fast Fourier transform algorithm to simulate the large strain phenomena in polycrystalline materials. International Journal of Plasticity. 192. 104404–104404. 2 indexed citations
3.
Brahme, Abhijit, et al.. (2025). Towards optimizing the thermal processes in aluminum alloys using a full-field CA based approach for static recrystallization modeling. Journal of Materials Research and Technology. 35. 2946–2954. 1 indexed citations
4.
5.
6.
Inal, Kaan, et al.. (2024). An investigation of rapid surface melting in nanowires. International Journal of Solids and Structures. 306. 113106–113106. 2 indexed citations
7.
Muhammad, Waqas, Jidong Kang, & Kaan Inal. (2023). The competing role of defects and surface roughness on the fatigue behavior of additively manufactured AlSi10Mg alloy. International Journal of Fatigue. 177. 107965–107965. 10 indexed citations
8.
Kohar, Christopher P., et al.. (2022). Precipitation kinetics and crystal plasticity modeling of artificially aged AA6061. International Journal of Plasticity. 152. 103241–103241. 27 indexed citations
9.
Muhammad, Waqas, Jidong Kang, Olga Ibragimova, & Kaan Inal. (2022). Experimental investigation and development of a deep learning framework to predict process-induced surface roughness in additively manufactured aluminum alloys. Welding in the World. 67(4). 897–921. 21 indexed citations
10.
Liebig, Wilfried V., et al.. (2021). The use of the empirical crack orientation tensor to characterize the damage anisotropy. Composites Communications. 25. 100613–100613. 3 indexed citations
11.
Muhammad, Waqas, Abhijit Brahme, Jidong Kang, et al.. (2020). A Method to Incorporate Grain Boundary Strength and its Effects on Plastic Deformation in FCC Polycrystals. IOP Conference Series Materials Science and Engineering. 967(1). 12026–12026. 1 indexed citations
12.
13.
Ali, Usman, et al.. (2019). Application of artificial neural networks in micromechanics for polycrystalline metals. International Journal of Plasticity. 120. 205–219. 144 indexed citations
14.
Kohar, Christopher P., et al.. (2019). A new and efficient thermo-elasto-viscoplastic numerical implementation for implicit finite element simulations of powder metals: An application to hot isostatic pressing. International Journal of Mechanical Sciences. 155. 222–234. 17 indexed citations
15.
Cyr, Edward, Abhijit Brahme, Mohsen Mohammadi, Raja K. Mishra, & Kaan Inal. (2018). A new crystal plasticity framework to simulate the large strain behaviour of aluminum alloys at warm temperatures. Materials Science and Engineering A. 727. 11–28. 18 indexed citations
16.
Muhammad, Waqas, Usman Ali, Abhijit Brahme, et al.. (2017). Experimental analyses and numerical modeling of texture evolution and the development of surface roughness during bending of an extruded aluminum alloy using a multiscale modeling framework. International Journal of Plasticity. 117. 93–121. 41 indexed citations
17.
Kohar, Christopher P., Abhijit Brahme, J. Imbert, Raja K. Mishra, & Kaan Inal. (2017). Effects of coupling anisotropic yield functions with the optimization process of extruded aluminum front rail geometries in crashworthiness. International Journal of Solids and Structures. 128. 174–198. 27 indexed citations
18.
Brahme, Abhijit, et al.. (2012). A NEW MODEL TO PREDICT GRAIN NUCLEATION DURING DYNAMIC RECRYSTALLIZATION. 3 indexed citations
19.
Inal, Kaan, et al.. (2012). The effects of anisotropic yield functions and their material parameters on prediction of forming limit diagrams. International Journal of Solids and Structures. 49(25). 3528–3550. 81 indexed citations
20.
Inal, Kaan, K.W. Neale, & P.D. Wu. (2002). Parallel finite element algorithms for the analysis of multiscale plasticity problems. WIT transactions on information and communication technologies. 27. 1 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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