S.O. Degertekin

1.7k total citations
32 papers, 1.3k citations indexed

About

S.O. Degertekin is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, S.O. Degertekin has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Civil and Structural Engineering, 12 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in S.O. Degertekin's work include Topology Optimization in Engineering (27 papers), Structural Health Monitoring Techniques (14 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). S.O. Degertekin is often cited by papers focused on Topology Optimization in Engineering (27 papers), Structural Health Monitoring Techniques (14 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). S.O. Degertekin collaborates with scholars based in Türkiye and Italy. S.O. Degertekin's co-authors include M.S. Hayalioglu, Luciano Lamberti, M.P. Saka and Mehmet Ülker and has published in prestigious journals such as Materials, Applied Soft Computing and Engineering Structures.

In The Last Decade

S.O. Degertekin

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.O. Degertekin Türkiye 17 917 573 431 127 121 32 1.3k
Majid Ilchi Ghazaan Iran 18 668 0.7× 492 0.9× 387 0.9× 113 0.9× 114 0.9× 32 1.1k
Saeid Kazemzadeh Azad Türkiye 17 566 0.6× 422 0.7× 284 0.7× 75 0.6× 117 1.0× 33 838
A. Zolghadr Iran 15 708 0.8× 429 0.7× 326 0.8× 181 1.4× 67 0.6× 20 940
C.S. Krishnamoorthy India 15 927 1.0× 409 0.7× 238 0.6× 304 2.4× 139 1.1× 46 1.3k
Leandro Fleck Fadel Miguel Brazil 24 1.4k 1.5× 478 0.8× 233 0.5× 204 1.6× 384 3.2× 85 1.8k
T. Vo-Duy Vietnam 21 908 1.0× 306 0.5× 213 0.5× 630 5.0× 163 1.3× 37 1.4k
Mohsen Rashki Iran 19 525 0.6× 372 0.6× 242 0.6× 198 1.6× 648 5.4× 46 1.3k
Rajan Filomeno Coelho Belgium 18 483 0.5× 408 0.7× 93 0.2× 142 1.1× 299 2.5× 69 1.0k
Ali Mortazavi Türkiye 19 376 0.4× 280 0.5× 325 0.8× 246 1.9× 42 0.3× 59 914
Sinan Melih Niğdeli Türkiye 22 1.4k 1.6× 178 0.3× 194 0.5× 64 0.5× 95 0.8× 114 1.8k

Countries citing papers authored by S.O. Degertekin

Since Specialization
Citations

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

Fields of papers citing papers by S.O. Degertekin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.O. Degertekin. 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 S.O. Degertekin. The network helps show where S.O. Degertekin may publish in the future.

Co-authorship network of co-authors of S.O. Degertekin

This figure shows the co-authorship network connecting the top 25 collaborators of S.O. Degertekin. A scholar is included among the top collaborators of S.O. Degertekin 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 S.O. Degertekin. S.O. Degertekin 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.
Lamberti, Luciano, et al.. (2025). Optimum Design of Steel Space Frames Using a Hybrid Slime Mould–Jaya Algorithm with Online Distributed Computing. Applied Sciences. 15(19). 10594–10594.
2.
Degertekin, S.O., et al.. (2025). A New Approach to Circulatory System-Based Optimization for the Shape and Sizing Design of Truss Structures. Applied Sciences. 15(7). 3671–3671.
3.
Degertekin, S.O., et al.. (2022). Optimized seismic design of planar and spatial steel frames using the hybrid learning based jaya algorithm. Advances in Engineering Software. 171. 103172–103172. 16 indexed citations
4.
Degertekin, S.O., et al.. (2021). Large-Scale Truss-Sizing Optimization with Enhanced Hybrid HS Algorithm. Applied Sciences. 11(7). 3270–3270. 13 indexed citations
5.
Lamberti, Luciano, et al.. (2019). Mechanical Identification of Materials and Structures with Optical Methods and Metaheuristic Optimization. Materials. 12(13). 2133–2133. 7 indexed citations
6.
Degertekin, S.O., et al.. (2019). Discrete sizing/layout/topology optimization of truss structures with an advanced Jaya algorithm. Applied Soft Computing. 79. 363–390. 80 indexed citations
7.
Degertekin, S.O., et al.. (2017). Sizing, layout and topology design optimization of truss structures using the Jaya algorithm. Applied Soft Computing. 70. 903–928. 98 indexed citations
8.
Degertekin, S.O. & Luciano Lamberti. (2013). Comparison of Hybrid Metaheuristic Algorithms for Truss Weight Optimization. Civil-comp proceedings. 103. 3 indexed citations
9.
Degertekin, S.O. & M.S. Hayalioglu. (2013). Sizing truss structures using teaching-learning-based optimization. Computers & Structures. 119. 177–188. 177 indexed citations
10.
Degertekin, S.O.. (2012). Optimum design of geometrically non-linear steel frames using artificial bee colony algorithm. Steel and Composite Structures. 12(6). 505–522. 15 indexed citations
11.
Degertekin, S.O.. (2011). Improved harmony search algorithms for sizing optimization of truss structures. Computers & Structures. 92-93. 229–241. 212 indexed citations
12.
Degertekin, S.O. & M.S. Hayalioglu. (2010). Harmony search algorithm for minimum cost design of steel frames with semi-rigid connections and column bases. Structural and Multidisciplinary Optimization. 42(5). 755–768. 42 indexed citations
13.
Degertekin, S.O. & M.S. Hayalioglu. (2009). Optimum Design of Steel Space Frames: Tabu Search vs. Simulated Annealing and Genetic Algorithms. DergiPark (Istanbul University). 6 indexed citations
14.
Degertekin, S.O., M.S. Hayalioglu, & Mehmet Ülker. (2008). A hybrid tabu-simulated annealing heuristic algorithm for optimum design of steel frames. Steel and Composite Structures. 8(6). 475–490. 8 indexed citations
15.
Degertekin, S.O.. (2008). Harmony search algorithm for optimum design of steel frame structures: A comparative study with other optimization methods. STRUCTURAL ENGINEERING AND MECHANICS. 29(4). 391–410. 41 indexed citations
16.
Degertekin, S.O., M.P. Saka, & M.S. Hayalioglu. (2007). Optimal load and resistance factor design of geometrically nonlinear steel space frames via tabu search and genetic algorithm. Engineering Structures. 30(1). 197–205. 51 indexed citations
17.
Degertekin, S.O.. (2007). Optimum design of steel frames using harmony search algorithm. Structural and Multidisciplinary Optimization. 36(4). 393–401. 182 indexed citations
18.
Hayalioglu, M.S. & S.O. Degertekin. (2005). Minimum cost design of steel frames with semi-rigid connections and column bases via genetic optimization. Computers & Structures. 83(21-22). 1849–1863. 68 indexed citations
19.
Hayalioglu, M.S. & S.O. Degertekin. (2004). Genetic algorithm based optimum design of non-linear steel frames with semi-rigid connections. Steel and Composite Structures. 4(6). 453–469. 17 indexed citations
20.
Degertekin, S.O. & M.S. Hayalioglu. (2004). Design of non-linear semi-rigid steel frames with semi-rigid column bases. Electronic Journal of Structural Engineering. 4. 1–16. 11 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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