Kemal Aldaş

628 total citations
25 papers, 507 citations indexed

About

Kemal Aldaş is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Kemal Aldaş has authored 25 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 11 papers in Materials Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Kemal Aldaş's work include Shape Memory Alloy Transformations (6 papers), Advanced machining processes and optimization (5 papers) and Advanced Machining and Optimization Techniques (3 papers). Kemal Aldaş is often cited by papers focused on Shape Memory Alloy Transformations (6 papers), Advanced machining processes and optimization (5 papers) and Advanced Machining and Optimization Techniques (3 papers). Kemal Aldaş collaborates with scholars based in Türkiye. Kemal Aldaş's co-authors include Mahmut D. Mat, Yüksel Kaplan, Rafet Yapıcı, İskender Özkul, Faruk Şen, Canan Aksu Canbay, M. Kemal Apalak, Berat Barış Buldum, Ali Akdağlı and Ahmet Taşkesen and has published in prestigious journals such as International Journal of Hydrogen Energy, Journal of Materials Processing Technology and Metallurgical and Materials Transactions A.

In The Last Decade

Kemal Aldaş

24 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kemal Aldaş Türkiye 11 244 222 127 121 83 25 507
Keith Gawlik United States 12 178 0.7× 105 0.5× 32 0.3× 28 0.2× 38 0.5× 26 405
Saleel Ismail India 14 103 0.4× 123 0.6× 58 0.5× 38 0.3× 271 3.3× 37 547
Hossein Ghezel‐Ayagh United States 16 211 0.9× 621 2.8× 79 0.6× 571 4.7× 163 2.0× 75 1.0k
Lingenthiran Samylingam Malaysia 14 259 1.1× 272 1.2× 31 0.2× 164 1.4× 271 3.3× 48 747
John J. Gangloff United States 11 117 0.5× 71 0.3× 58 0.5× 231 1.9× 90 1.1× 15 504
M. Feroskhan India 14 220 0.9× 117 0.5× 23 0.2× 51 0.4× 313 3.8× 48 605
Hyung-Man Kim South Korea 16 88 0.4× 239 1.1× 153 1.2× 570 4.7× 172 2.1× 52 821
Nazanin Chitgar Iran 9 733 3.0× 248 1.1× 212 1.7× 255 2.1× 206 2.5× 11 1.0k
Alhassan Salami Tijani Malaysia 13 177 0.7× 144 0.6× 450 3.5× 415 3.4× 123 1.5× 28 799
Guizhi Xu China 14 588 2.4× 135 0.6× 85 0.7× 169 1.4× 79 1.0× 53 801

Countries citing papers authored by Kemal Aldaş

Since Specialization
Citations

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

Fields of papers citing papers by Kemal Aldaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kemal Aldaş

This figure shows the co-authorship network connecting the top 25 collaborators of Kemal Aldaş. A scholar is included among the top collaborators of Kemal Aldaş 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 Kemal Aldaş. Kemal Aldaş 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.
Aldaş, Kemal, et al.. (2022). B2-L10 thermoelastic transformation on Ni50Mn29Sb12.5Co8.5 shape memory Heusler alloy. Applied Physics A. 128(8). 1 indexed citations
2.
Buldum, Berat Barış, et al.. (2017). ANN surface roughness prediction of AZ91D magnesium alloys in the turning process. Materials Testing. 59(10). 916–920. 20 indexed citations
3.
Özkul, İskender, et al.. (2017). The effect of the aging period on the martensitic transformation and kinetic characteristic of at % Cu68.09Al26.1Ni1.54Мn4.27 shape memory alloy. Russian Journal of Non-Ferrous Metals. 58(2). 130–135. 8 indexed citations
4.
Aldaş, Kemal, İskender Özkul, & Mohammed T. Hayajneh. (2016). Effects of machining parameters and reinforcement content on thrust force during drilling of hybrid composites. Materials Testing. 58(3). 280–284. 3 indexed citations
5.
Taşkesen, Ahmet, et al.. (2014). Analysis of thrust force in drilling B4C-reinforced aluminium alloy using genetic learning algorithm. The International Journal of Advanced Manufacturing Technology. 75(1-4). 237–245. 9 indexed citations
6.
Şen, Faruk, et al.. (2014). Thermal Residual Stresses in Thermoplastic Composite Disc with Holes Using 3D-Fem. Advanced Composites Letters. 23(4).
7.
Aldaş, Kemal, et al.. (2014). Prediction of Thermodynamic Equilibrium Temperature of Cu-Based Shape-Memory Smart Materials. Metallurgical and Materials Transactions A. 46(1). 134–142. 9 indexed citations
8.
Aldaş, Kemal & Rafet Yapıcı. (2014). Investigation of Effects of Scale and Surface Roughness on Efficiency of Water Jet Pumps Using CFD. Engineering Applications of Computational Fluid Mechanics. 8(1). 14–25. 32 indexed citations
9.
Aldaş, Kemal, et al.. (2014). Prediction of Surface Roughness in Longitudinal Turning Process by a Genetic Learning Algorithm. Materials Testing. 56(5). 375–380. 10 indexed citations
10.
Aldaş, Kemal, Faruk Şen, & İskender Özkul. (2013). The Investigation of Gas Ejector Performance using CFD Modelling. TEM Journal. 130–135. 2 indexed citations
11.
Yapıcı, Rafet & Kemal Aldaş. (2013). Optimization of water jet pumps using numerical simulation. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 227(4). 438–449. 22 indexed citations
12.
Aldaş, Kemal & Faruk Şen. (2013). Stress analysis of hybrid joints of metal and composite plates via 3D-FEM. 7 indexed citations
13.
Aldaş, Kemal, et al.. (2008). Numerical and experimental investigation of two-phase flow in an electrochemical cell. International Journal of Hydrogen Energy. 33(14). 3668–3675. 66 indexed citations
14.
Mat, Mahmut D. & Kemal Aldaş. (2005). Experimental and numerical investigation of effect of particle size on particle distribution in particulate metal matrix composites. Applied Mathematics and Computation. 177(1). 300–307. 5 indexed citations
15.
Mat, Mahmut D. & Kemal Aldaş. (2004). Application of a two-phase flow model for natural convection in an electrochemical cell. International Journal of Hydrogen Energy. 30(4). 411–420. 63 indexed citations
16.
Aldaş, Kemal & Mahmut D. Mat. (2004). Experimental and theoretical analysis of particle distribution in particulate metal matrix composites. Journal of Materials Processing Technology. 160(3). 289–295. 29 indexed citations
17.
Aldaş, Kemal. (2003). Application of a two-phase flow model for hydrogen evolution in an electrochemical cell. Applied Mathematics and Computation. 154(2). 507–519. 41 indexed citations
18.
Aldaş, Kemal & Mahmut D. Mat. (2002). Numerical Analysis of Hydrogen Storage in Metal-Hydride Beds. TURKISH JOURNAL OF ENGINEERING AND ENVIRONMENTAL SCIENCES. 26(2). 201–208. 2 indexed citations
19.
Aldaş, Kemal, Mahmut D. Mat, & Yüksel Kaplan. (2002). A three-dimensional mathematical model for absorption in a metal hydride bed. International Journal of Hydrogen Energy. 27(10). 1049–1056. 99 indexed citations
20.
Mat, Mahmut D., et al.. (2002). Investigation of three-dimensional heat and mass transfer in a metal hydride reactor. International Journal of Energy Research. 26(11). 973–986. 42 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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