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akaturk Academic measurement

Academician

HAKAN DURGUN

ARAŞTIRMA GÖREVLİSİ

ISPARTA UYGULAMALI BİLİMLER ÜNİVERSİTESİ ORMAN FAKÜLTESİ ORMAN MÜHENDİSLİĞİ BÖLÜMÜ

  • Ana Dal Ziraat ve Orman ve Su Ürünleri Temel Alanı
  • Yan Dal Orman Mühendisliği

A quick look at recorded outputs — details below.

  • Articles 6
  • Projects 0
  • Books 4
  • Proceedings 10
  • Patents 0
  • Artistic 0
Scopus (SJR) Q1 0 Q2 0 Q3 3 Q4 0
WoS (JCR) Q1 0 Q2 0 Q3 0 Q4 0
TR Index 5 articles

Field+year+type normalized OpenAlex percentiles — not Clarivate ESI / SciVal.

Top 1% articles 0
Top 10% articles 0
Avg percentile 49.4%
Top 1% share 0.0%
Top 10% share 0.0%

Articles

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

Index filters

6 publications total

Scopus (SJR)
Q1 0 Q2 0 Q3 3 Q4 0
WoS (JCR)
Q1 0 Q2 0 Q3 0 Q4 0
TR Index

Article list

  1. 2026 Integration of UAV photography, field data and machine learning algorithms for stem volume estimation European Journal of Forest Engineering DOI 10.33904/ejfe.1739793 YÖKSİS TR Index SJR Q3 OpenAlex 46.0%
  2. 2025 Determination of Changes in Forest Road Network in Fire-Affected Areas by UAV European Journal of Forest Engineering DOI 10.33904/ejfe.1540549 YÖKSİS TR Index SJR Q3 OpenAlex 39.3%
  3. 2023 Evaluation of Tree Diameter and Height Measurements in UAV Data through the Integration of Remote Sensing and Machine Learning Methods Gazi Mühendislik Bilimleri Dergisi DOI 10.30855/gmbd.0705S12 YÖKSİS TR Index OpenAlex 51.5%
  4. 2022 İnsansız hava aracıyla elde edilen hava fotoğraflarından kızılçam ağaçlarının çap ve boylarının ölçümü ve gövde hacminin tahmini Turkish Journal of Forestry DOI 10.18182/tjf.1199567 YÖKSİS TR Index OpenAlex 62.1%
  5. 2026 Integration of UAV Photography, Field Data and Machine Learning Algorithms for Stem Volume Estimation European Journal of Forest Engineering DOI 10.33904/ejfe.1739793 YÖKSİS TR Index SJR Q3 OpenAlex 46.0%
  6. 2023 Evaluation of Tree Diameter and Height Measurements in UAV Data through the Integration of Remote Sensing and Machine Learning Methods Gazi Mühendislik Bilimleri Dergisi DOI 10.30855/gmbd.0705S12 YÖKSİS OpenAlex 51.5%

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