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akaturk Academic measurement

Academician

AHMET ARDAHANLI

ARAŞTIRMA GÖREVLİSİ

KAFKAS ÜNİVERSİTESİ MÜHENDİSLİK-MİMARLIK FAKÜLTESİ BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Bilgisayar Bilimleri ve Mühendisliği

A quick look at recorded outputs — details below.

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

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

Top 1% articles 0
Top 10% articles 2
Avg percentile 82.3%
Top 1% share 0.0%
Top 10% share 40.0%

Articles

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

Index filters

4 publications total

Scopus (SJR)
Q1 3 Q2 0 Q3 2 Q4 0
WoS (JCR)
TR Index
0 articles

Article list

  1. 2025 Reader comment regarding: Diagnostic accuracy of artificial intelligence for identifying systolic and diastolic cardiac dysfunction in the emergency department The American Journal of Emergency Medicine DOI 10.1016/j.ajem.2024.11.087 YÖKSİS SJR Q1 JCR Q2 OpenAlex 72.9%
  2. 2025 Precision Risk Stratification in Atrial Fibrillation: Evaluating Machine Learning Models for Bleeding Prediction and Clinical Integration The American Journal of Cardiology DOI 10.1016/j.amjcard.2025.03.015 YÖKSİS SJR Q1 JCR Q2 OpenAlex top 10% OpenAlex 95.6%
  3. 2025 Rapid AI-assisted Poincaré plot analysis for early detection of subclinical left ventricular dysfunction in hypertensive patients admitted to the emergency department: A prospective observational study Cardiovascular Journal of Africa DOI 10.5830/CVJA-2025-069 YÖKSİS SJR Q3 JCR Q4 OpenAlex 76.0%
  4. 2025 Prediction of myocardial fibrosis in hypertrophic cardiomyopathy with machine learning: Insight into ECG analysis Journal of Electrocardiology DOI 10.1016/j.jelectrocard.2025.153926 YÖKSİS SJR Q3 JCR Q3 OpenAlex top 10% OpenAlex 93.8%
  5. 2024 Artificial intelligence in cardiac POCUS: Clinical tips for emergency medicine professionals The American Journal of Emergency Medicine DOI 10.1016/j.ajem.2024.11.087. YÖKSİS SJR Q1 JCR Q2 OpenAlex 72.9%

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