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akaturk Academic measurement

Academician

ARAKS EKMEKÇİOĞLU

DOKTOR ÖĞRETİM ÜYESİ

YILDIZ TEKNİK ÜNİVERSİTESİ GEMİ İNŞAATI VE DENİZCİLİK FAKÜLTESİ GEMİ MAKİNELERİ İŞLETME MÜHENDİSLİĞİ BÖLÜMÜ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Deniz ve Gemi Mühendisliği

A quick look at recorded outputs — details below.

  • Articles 11
  • Projects 0
  • Books 0
  • Proceedings 1
  • Patents 0
  • Artistic 0
Scopus (SJR) Q1 4 Q2 4 Q3 1 Q4 0
WoS (JCR) Q1 2 Q2 3 Q3 4 Q4 0
TR Index 2 articles

Articles

Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.

Index filters

11 publications total

Scopus (SJR)
WoS (JCR)
TR Index

Article list

  1. 2026 Risk ratio assessment of key parameters affecting main engine starting system failures on container ships Ocean Engineering DOI 10.1016/j.oceaneng.2026.124213 YÖKSİS SJR Q1 JCR Q1
  2. 2026 Analysis of Operational Drivers of Unscheduled Downtime in a Container Fleet Journal of Naval Architecture and Marine Technology DOI 10.54926/jnamt.2025.2528 YÖKSİS TR Index
  3. 2025 Effect of the low sulphur regulations of maritime fuels on ambient air quality: a case study in the Bosphorus strait International Journal of Environmental Science and Technology DOI 10.1007/s13762-024-05901-4 YÖKSİS SJR Q1 JCR Q3
  4. 2025 Analysis and Prediction of Electric Motor Faults, for Ships using the Taguchi Approach Acta Polytechnica Hungarica DOI 10.12700/APH.22.9.2025.9.10 YÖKSİS SJR Q2 JCR Q2
  5. 2025 Analysis and Prediction of Electric Motor Faults, for Ships using the Taguchi Approach Acta Polytechnica Hungarica DOI 10.12700/aph.22.9.2025.9.10 YÖKSİS SJR Q2 JCR Q2
  6. 2022 Container ship emission estimation model for the concept of green port in Turkey SAGE Publications DOI 10.1177/14750902211024453 YÖKSİS SJR Q2 JCR Q3
  7. 2022 Estimation of shipping emissions based on real-time data with different methods: A case study of an oceangoing container ship Environment, Development and Sustainability DOI 10.1007/s10668-021-01605-8 YÖKSİS SJR Q1 JCR Q2
  8. 2021 Modelling Ships Main and Auxiliary Engine Powers with Regression-Based Machine Learning Algorithms Polish Maritime Research DOI 10.2478/pomr-2021-0008 YÖKSİS SJR Q2 JCR Q3
  9. 2021 MODELING OF GENERAL CARGO SHIP’S MAIN ENGINE POWERS WITH REGRESSION BASED MACHINE LEARNING ALGORITHMS: COMPARATIVE RESEARCH Mersin University Journal of Maritime Faculty DOI 10.47512/meujmaf.923874 YÖKSİS
  10. 2020 Assessment of shipping emission factors through monitoring and modelling studies Science of The Total Environment DOI 10.1016/j.scitotenv.2020.140742 YÖKSİS SJR Q1 JCR Q1
  11. 2019 SHIP EMISSION ESTIMATION FOR IZMIR AND MERSIN INTERNATIONAL PORTS – TURKEY Journal of Thermal Engineering DOI 10.18186/thermal.654319 YÖKSİS TR Index SJR Q3 JCR Q3

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