T. Kanit

4.0k total citations · 1 hit paper
73 papers, 3.2k citations indexed

About

T. Kanit is a scholar working on Mechanics of Materials, Polymers and Plastics and Mechanical Engineering. According to data from OpenAlex, T. Kanit has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Mechanics of Materials, 18 papers in Polymers and Plastics and 18 papers in Mechanical Engineering. Recurrent topics in T. Kanit's work include Composite Material Mechanics (40 papers), Mechanical Behavior of Composites (30 papers) and Numerical methods in engineering (23 papers). T. Kanit is often cited by papers focused on Composite Material Mechanics (40 papers), Mechanical Behavior of Composites (30 papers) and Numerical methods in engineering (23 papers). T. Kanit collaborates with scholars based in France, Algeria and Vietnam. T. Kanit's co-authors include Samuel Forest, Dominique Jeulin, Valérie Mounoury, A. Imad, A. El Moumen, Cuong Ha-Minh, François Boussu, H. El Minor, F. N’Guyen and D. Kondo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

T. Kanit

70 papers receiving 3.1k citations

Hit Papers

Determination of the size of the representative volume el... 2003 2026 2010 2018 2003 400 800 1.2k
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. Determination of the size of the representative volume element for random composites: statistical and numerical approach
    2003 1.5k citations T. Kanit et al. International Journal of Solids and Structures profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Kanit France 25 2.5k 985 663 577 492 73 3.2k
Fodil Meraghni France 34 2.3k 0.9× 1.0k 1.1× 802 1.2× 561 1.0× 518 1.1× 140 3.3k
Issam Doghri Belgium 40 3.3k 1.3× 1.3k 1.3× 985 1.5× 472 0.8× 535 1.1× 83 4.2k
Ahmed Makradi France 28 1.2k 0.5× 735 0.7× 601 0.9× 380 0.7× 516 1.0× 103 2.7k
Wilfried Becker Germany 32 2.8k 1.1× 1.2k 1.2× 366 0.6× 1.0k 1.8× 269 0.5× 238 3.5k
Dominique Leguillon France 33 3.7k 1.5× 989 1.0× 858 1.3× 689 1.2× 96 0.2× 121 4.5k
Brett A. Bednarcyk United States 24 1.8k 0.7× 708 0.7× 387 0.6× 463 0.8× 243 0.5× 193 2.4k
Matti Ristinmaa Sweden 33 2.0k 0.8× 1.1k 1.1× 1.0k 1.6× 666 1.2× 151 0.3× 135 3.2k
Leong Hien Poh Singapore 33 1.5k 0.6× 1.0k 1.1× 957 1.4× 952 1.6× 128 0.3× 101 2.8k
Jean‐Louis Chaboche France 15 3.2k 1.3× 1.7k 1.8× 1.2k 1.8× 954 1.7× 136 0.3× 28 4.3k
Mohammad Silani Iran 21 1.2k 0.5× 436 0.4× 854 1.3× 765 1.3× 269 0.5× 51 2.4k

Countries citing papers authored by T. Kanit

Since Specialization
Citations

This map shows the geographic impact of T. Kanit'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 T. Kanit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kanit more than expected).

Fields of papers citing papers by T. Kanit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Kanit

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kanit. A scholar is included among the top collaborators of T. Kanit 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 T. Kanit. T. Kanit 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
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Imad, A., et al.. (2025). Phenomenological–based strategy for the Gurson-Tvergaard-Needleman model parameters identification. SPIRE - Sciences Po Institutional REpository. 23. 100243–100243. 1 indexed citations
5.
Kanit, T., et al.. (2023). Mathematical Models for Predicting the Elastic and Thermal Behavior of Heterogeneous Materials through Curve Fitting. Applied Sciences. 13(24). 13206–13206. 1 indexed citations
6.
Kanit, T., et al.. (2023). Design the femoral implant matched anatomical Ti64 implant and compare among lattice structures topology optimization and cylindrical pores. Mechanics of Advanced Materials and Structures. 31(25). 7140–7151. 3 indexed citations
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Kanit, T., et al.. (2023). Mechanical performance and failure analysis of a fabric subjected to ballistic impact using multi-scale numerical modelling. Journal of Composite Materials. 57(7). 1331–1342. 3 indexed citations
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Kanit, T., et al.. (2023). Prediction of Effective Elastic and Thermal Properties of Heterogeneous Materials Using Convolutional Neural Networks. SHILAP Revista de lepidopterología. 4(1). 287–303. 7 indexed citations
9.
Moumen, A. El, et al.. (2023). Towards a numerical modeling of the coupling between RTM process and induced mechanical properties for rigid particle-filled composites. The International Journal of Advanced Manufacturing Technology. 125(3-4). 1251–1270. 8 indexed citations
10.
Hussain, Muzzamal, A. Imad, Abdelghani Saouab, et al.. (2023). Delamination Characteristics of Aluminum-Composite Bonds: Impact of Reinforcements and Matrices. International Journal of Polymer Science. 2023. 1–13. 1 indexed citations
11.
N’Guyen, F., et al.. (2023). Efficient boundary surface reconstruction from multi-label volumetric data with mathematical morphology. Computers & Graphics. 117. 192–208. 2 indexed citations
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N’Guyen, F., et al.. (2022). Effect of particles morphology on the effective elastic properties of bio–composites reinforced by seashells: Numerical investigations. Journal of Composite Materials. 57(2). 177–197. 3 indexed citations
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Hussain, Muzzamal, et al.. (2020). Properties and characterization of novel 3D jute reinforced natural fibre aluminium laminates. Journal of Composite Materials. 55(14). 1879–1891. 21 indexed citations
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Amrouche, A., et al.. (2020). Microstructural features effect on the evolution of cyclic damage for polycrystalline metals using a multiscale approach. International Journal of Damage Mechanics. 30(1). 77–102. 5 indexed citations
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Kanit, T., et al.. (2019). Analysis of crack parameters under mixed mode loading by modified exponential matrix method. Theoretical and Applied Fracture Mechanics. 102. 30–45. 4 indexed citations
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Kanit, T., et al.. (2018). An iterative analytical model for heterogeneous materials homogenization. Composites Part B Engineering. 142. 56–67. 6 indexed citations
18.
Kanit, T., et al.. (2017). Optimal design and non–linear computation of mechanical behavior of sphere reinforced composites. Composites Part B Engineering. 126. 38–48. 3 indexed citations
19.
Kanit, T., et al.. (2014). A computational homogenization of random porous media: Effect of void shape and void content on the overall yield surface. European Journal of Mechanics - A/Solids. 49. 137–145. 39 indexed citations
20.
Kanit, T., et al.. (2013). Computational homogenization of elastic–plastic composites. International Journal of Solids and Structures. 50(18). 2829–2835. 31 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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