D. Canadinç

3.8k total citations
105 papers, 3.2k citations indexed

About

D. Canadinç is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, D. Canadinç has authored 105 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Materials Chemistry, 77 papers in Mechanical Engineering and 34 papers in Mechanics of Materials. Recurrent topics in D. Canadinç's work include Microstructure and Mechanical Properties of Steels (38 papers), Microstructure and mechanical properties (30 papers) and Shape Memory Alloy Transformations (23 papers). D. Canadinç is often cited by papers focused on Microstructure and Mechanical Properties of Steels (38 papers), Microstructure and mechanical properties (30 papers) and Shape Memory Alloy Transformations (23 papers). D. Canadinç collaborates with scholars based in Türkiye, Germany and United States. D. Canadinç's co-authors include Hans Jürgen Maier, Hüseyin Şehitoğlu, İbrahim Karaman, Thomas Niendorf, Y.I. Chumlyakov, Burak Bal, Amir Motallebzadeh, M. Barış Yağcı, C. Hayrettin and Saad Sheikh and has published in prestigious journals such as Acta Materialia, Electrochimica Acta and Materials Science and Engineering A.

In The Last Decade

D. Canadinç

105 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Canadinç Türkiye 33 2.5k 2.0k 740 652 301 105 3.2k
Christof Sommitsch Austria 28 2.3k 0.9× 1.3k 0.7× 1.2k 1.6× 476 0.7× 280 0.9× 266 2.8k
O. M. Іvasishin Ukraine 32 2.7k 1.1× 2.8k 1.4× 780 1.1× 348 0.5× 192 0.6× 127 3.3k
J. Tiley United States 33 3.7k 1.5× 2.1k 1.0× 745 1.0× 1.2k 1.9× 201 0.7× 84 4.2k
W. Theisen Germany 38 4.8k 1.9× 2.4k 1.2× 1.1k 1.5× 702 1.1× 618 2.1× 245 5.4k
Mahmoud Nili‐Ahmadabadi Iran 31 2.7k 1.1× 2.1k 1.0× 866 1.2× 827 1.3× 249 0.8× 200 3.3k
J. Chao Spain 23 1.2k 0.5× 1.1k 0.6× 376 0.5× 308 0.5× 260 0.9× 73 1.6k
I. Sabirov Spain 37 3.9k 1.6× 3.7k 1.8× 1.4k 1.9× 1.2k 1.8× 245 0.8× 126 4.7k
S. Yue Canada 32 2.2k 0.9× 1.8k 0.9× 1.4k 1.9× 403 0.6× 210 0.7× 76 2.6k
Mirko Schaper Germany 25 2.7k 1.1× 904 0.4× 737 1.0× 497 0.8× 125 0.4× 204 3.1k

Countries citing papers authored by D. Canadinç

Since Specialization
Citations

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

Fields of papers citing papers by D. Canadinç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Canadinç

This figure shows the co-authorship network connecting the top 25 collaborators of D. Canadinç. A scholar is included among the top collaborators of D. Canadinç 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 D. Canadinç. D. Canadinç 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.
Klose, Christian, et al.. (2025). The influence of microstructure on the corrosion behavior of platinum used for cochlea implant electrodes. Corrosion Science. 246. 112745–112745. 2 indexed citations
2.
Canadinç, D., et al.. (2024). Biocorrosion behavior TiTaNbZrMo high-entropy alloy thin films sputtered on NiTi shape memory alloy substrates with controlled microstructure. Applied Surface Science. 661. 160038–160038. 9 indexed citations
3.
Ünal, Uğur, et al.. (2024). On the Surface Property–Oxidation Relationship in Refractory High‐Entropy Alloys. Advanced Engineering Materials. 26(23). 2 indexed citations
4.
Ünal, Uğur, et al.. (2023). Understanding the enhanced corrosion performance of two novel Ti-based biomedical high entropy alloys. Journal of Alloys and Compounds. 956. 170343–170343. 18 indexed citations
5.
El‐Atwani, Osman, et al.. (2023). Micromechanical properties of spherical and facetted He bubble loaded copper. Extreme Mechanics Letters. 61. 102007–102007. 2 indexed citations
6.
Canadinç, D., et al.. (2023). Machine learning – informed development of high entropy alloys with enhanced corrosion resistance. Electrochimica Acta. 476. 143722–143722. 20 indexed citations
7.
El‐Atwani, Osman, et al.. (2023). Machine learning assisted design of novel refractory high entropy alloys with enhanced mechanical properties. Computational Materials Science. 231. 112612–112612. 31 indexed citations
8.
Klose, Christian, et al.. (2023). Determination of thermal conductivity of eutectic Al–Cu compounds utilizing experiments, molecular dynamics simulations and machine learning. Modelling and Simulation in Materials Science and Engineering. 31(4). 45001–45001. 3 indexed citations
9.
10.
Canadinç, D., et al.. (2021). Water Jet Guided Laser vs. Conventional Laser: Experimental Comparison of Surface Integrity for Different Aerospace Alloys. Journal of Laser Micro/Nanoengineering. 13 indexed citations
11.
Canadinç, D., et al.. (2020). Prediction of the NiTi shape memory alloy composition with the best corrosion resistance for dental applications utilizing artificial intelligence. Materials Chemistry and Physics. 258. 123974–123974. 25 indexed citations
12.
Gerstein, Gregory, et al.. (2017). Effects of microstructural mechanisms on the localized oxidation behavior of NiTi shape memory alloys in simulated body fluid. Journal of Materials Science. 53(2). 948–958. 18 indexed citations
13.
Yıldırım, Çağrı Vakkas, et al.. (2016). A Critical Approach to the Biocompatibility Testing of Niti Orthodontic Archwires. Digital Collections portal (Koç University). 1(1). 1–7. 7 indexed citations
14.
Cingöz, Ahmet, et al.. (2016). An exploration of plastic deformation dependence of cell viability and adhesion in metallic implant materials. Journal of the mechanical behavior of biomedical materials. 60. 177–186. 22 indexed citations
15.
Gerstein, Gregory, et al.. (2016). Micro-Scale Cyclic Bending Response of NiTi Shape Memory Alloy. MATERIALS TRANSACTIONS. 57(3). 472–475. 1 indexed citations
16.
Bal, Burak, et al.. (2014). Microstructure-based modeling of the impact response of a biomedical niobium–zirconium alloy. Journal of materials research/Pratt's guide to venture capital sources. 29(10). 1123–1134. 9 indexed citations
17.
Canadinç, D., et al.. (2013). Evaluation of passive oxide layer formation–biocompatibility relationship in NiTi shape memory alloys: Geometry and body location dependency. Materials Science and Engineering C. 36. 118–129. 41 indexed citations
18.
Niendorf, Thomas, et al.. (2008). The role of monotonic pre-deformation on the fatigue performance of a high-manganese austenitic TWIP steel. Materials Science and Engineering A. 499(1-2). 518–524. 113 indexed citations
19.
Canadinç, D., et al.. (2006). Orientation evolution in Hadfield steel single crystals under combined slip and twinning. International Journal of Solids and Structures. 44(1). 34–50. 44 indexed citations
20.
Canadinç, D.. (2005). A Detailed Investigation of the Strain Hardening Response of Aluminum Alloyed Hadfield Steel. PhDT. 2 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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