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akaturk Academic measurement

Academician profile · DOÇENT

AHMET EMİN KURTOĞLU

IĞDIR ÜNİVERSİTESİ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal İnşaat Mühendisliği
  • IĞDIR TEKNİK BİLİMLER MESLEK YÜKSEKOKULU
  • İNŞAAT BÖLÜMÜ
Articles YÖKSİS 30
Projects 1
Books 2
Proceedings 11
Patents 1
Artistic 1
Scopus (SJR)
Q1 10 Q2 12 Q3 3 Q4 1
WoS (JCR)
Q1 9 Q2 9 Q3 6 Q4 1
TR Index 3 articles

Scopus (SJR)

Q1 10 Q2 12 Q3 3 Q4 1

WoS (JCR)

Q1 9 Q2 9 Q3 6 Q4 1

TR Index

3 articles

30 publications total

Articles

  1. 2026 A Stacking Ensemble-Based Framework for Predicting the Compressive Strength of Microwave-Cured Geopolymers Materials DOI 10.3390/ma19122474
  2. 2026 An engineering-informed voting ensemble framework for rapid seismic risk screening of reinforced concrete structures Scientific Reports DOI 10.1038/s41598-026-52799-8
  3. 2026 Data-driven surrogate models with uncertainty quantification for lightweight foamed concrete Computers and Concrete DOI 10.12989/cac.2026.37.2.205
  4. 2025 Modeling the strength of geopolymer concrete at high temperatures: Machine learning approach Computers and Concrete DOI 10.12989/cac.2025.35.6.669
  5. 2025 Machine learning model for patch loading buckling coefficients for longitudinally stiffened curved plate girders STEEL AND COMPOSITE STRUCTURES DOI 10.12989/scs.2025.57.4.325
  6. 2025 Analysis of Marshalls Stability of Hot Mixtures with Machine Learning Journal of Brilliant Engineering DOI 10.36937/ben.2025.41034
  7. 2025 Predicting the Compressive Strength of PVC-Confined Concrete via Machine Learning Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi DOI 10.21597/jist.1584930
  8. 2023 Machine learning prediction model for the axial strength of longitudinal branch plate-to-CHS T-connections Elsevier BV DOI 10.1016/j.asej.2023.102557
  9. 2023 Patch loading resistance prediction of plate girders with multiple longitudinal stiffeners using machine learning Steel and Composite Structures DOI 10.12989/scs.2023.49.4.419
  10. 2023 Experimental and Theoretical Investigation of the Punching Shear Strength of GFRP-Reinforced Two-Way Slabs Structural Engineering International DOI 10.1080/10168664.2022.2093689
  11. 2022 Artificial intelligence-based modeling of extruded aluminum beams subjected to patch loading Thin-Walled Structures DOI 10.1016/j.tws.2022.109673
  12. 2022 A machine‐learning‐based constitutive model for anchored CFRP strips externally bonded on concrete members Structural Concrete Wiley DOI 10.1002/suco.202100647
  13. 2021 Flexural behavior of HDPE tubular beams filled with self-compacting geopolymer concrete Thin-Walled Structures DOI 10.1016/j.tws.2021.108096
  14. 2021 Machine learning approach for predicting the patch load resistance of slender austenitic stainless steel girders Structures DOI 10.1016/j.istruc.2021.01.012
  15. 2019 New model for compressive strength loss of lightweight concrete exposed to elevated temperatures Thermal Science DOI 10.2298/TSCI181030042K
  16. 2019 Development of fly ash/slag based self-compacting geopolymer concrete using nano-silica and steel fiber Construction and Building Materials DOI 10.1016/j.conbuildmat.2019.03.228
  17. 2019 Shear Resistance of Reinforced Aerated Concrete Slabs: Prediction via Artificial Neural Networks Journal of Sustainable Construction Materials and Technologies DOI 10.29187/jscmt.2019.38
  18. 2019 Modeling the Shear Strength of Reinforced Aerated Concrete Slabs via Support Vector Regression International Journal of Engineering Technologies DOI https://dergipark.org.tr/tr/download/article-file/670287
  19. 2018 Size effect on strength of Fiber-Reinforced Self-Compacting Concrete (SCC) after exposure to high temperatures Computers and Concrete DOI 10.12989/cac.2018.21.6.681
  20. 2018 Mechanical and durability properties of fly ash and slag based geopolymer concrete Advances in Concrete Constuction DOI 10.12989/acc.2018.6.4.345

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