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akaturk Academic measurement

Academician profile · PROFESÖR

İZZET KARAKURT

KARADENİZ TEKNİK ÜNİVERSİTESİ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Maden Mühendisliği
  • MÜHENDİSLİK FAKÜLTESİ
  • MADEN MÜHENDİSLİĞİ BÖLÜMÜ
Articles YÖKSİS 57
Projects 1
Books 3
Proceedings 86
Patents 0
Artistic 0
Scopus (SJR)
Q1 18 Q2 13 Q3 0 Q4 1
WoS (JCR)
Q1 8 Q2 10 Q3 9 Q4 4
TR Index 5 articles

Scopus (SJR)

Q1 18 Q2 13 Q3 0 Q4 1

WoS (JCR)

Q1 8 Q2 10 Q3 9 Q4 4

TR Index

5 articles

57 publications total

Articles

  1. 2026 Macroeconomic-driven Modelling of Turkish Natural Stone Exports through Multiple Nonlinear Regression Mining, Metallurgy & Exploration DOI 10.1007/s42461-026-01527-x
  2. 2026 Estimation of Primary Energy Consumption for a Panel of Five ASEAN Countries by Models Derived from Trend Analysis Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi DOI https://dergipark.org.tr/tr/pub/erzifbed/article/1669855
  3. 2026 Forecast models derived by trend analysis for the BRICS economies' primary energy consumption Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online) DOI https://dergipark.org.tr/en/pub/okufbed/article/1670959
  4. 2025 Utilisation of glass waste as an abrasive in abrasive waterjet machining Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science DOI 10.1177/09544062251370573
  5. 2025 An Investigation into the Abrasive Waterjet Cutting of Rocks: Improving the Cutting Performance and Leveraging the Machine Learning Algorithms for Modelling Mining, Metallurgy & Exploration DOI 10.1007/s42461-025-01342-w
  6. 2025 Modeling and optimization of the declineation angle generated by abrasive waterjet multi-pass and forward angling cuttings using machine learning Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering DOI 10.1177/09544089251382283
  7. 2025 Development of Trend analysis-based Forecast Models for Türkiye’s Fossil Fuel Consumption Karadeniz Fen Bilimleri Dergisi DOI 10.31466/kfbd.1667202
  8. 2025 Forecasting Models Based on Total Population for Primary Energy Consumption of the N – 11 Countries Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi DOI 10.53433/yyufbed.1668438
  9. 2024 Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion Environmental Science and Pollution Research DOI https://link.springer.com/article/10.1007/s11356-024-34654-3
  10. 2023 An experimental study on the cutting depth produced by abrasive waterjet: how do abrasive and rock properties affect the cutting process? INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY DOI 10.1007/s00170-023-11053-5
  11. 2023 Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries ENERGY DOI 10.1016/j.energy.2022.125650
  12. 2022 Improvement of Rock Cutting Performance through Two-Pass Abrasive Waterjet Cutting SUSTAINABILITY DOI 10.3390/su141912704
  13. 2021 Modelling and forecasting the oil consumptions of the BRICS-T countries Energy The International Journal
  14. 2020 Energy consumption modelling using socio-economic indicators: Evidence from the BRICS-T countries The Journal of the Southern African Institute of Mining and Metallurgy
  15. 2020 Doğaltaş Üretim ve İşleme Tesisi Atıklarının Değerlendirilmesi ALKÜ Fen Bilimleri Dergisi
  16. 2020 BRICS-T Ülkelerinin Kömür Tüketimlerinin Çoklu Regresyon Analizi ile Tahmini Harran Üniversitesi Mühendislik Dergisi
  17. 2020 Kömür kaynaklı CO2 emisyonlarının tahminine yönelik model geliştirilmesi: BRICS-T ülkeleri örneği Karadeniz Fen Bilimleri Dergisi
  18. 2019 Effect of abrasive type on marble cutting performance of abrasive waterjet Arabian Journal of Geosciences
  19. 2019 Aşındırıcı Sujetiyle Doğaltaş Kesmede Granit Atıklarının Aşındırıcı Olarak Değerlendirilmesi Bilimsel Madencilik Dergisi
  20. 2017 Utilization of solid-cutting waste of granite as an alternative abrasive in abrasive waterjet cutting of marble Journal of Cleaner Production DOI 10.1016/j.jclepro.2017.04.173

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