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akaturk Academic measurement

Academician

HASAN METEHAN AKGÜN

Öğretim Görevlisi (ders Vermekle Görevli)

Sivas Bilim Ve Teknoloji Üniversitesi Sivas Meslek Yüksekokulu Motorlu Araçlar Ve Ulaştırma Teknolojileri Bölümü

  1. Ana Dal Mühendislik Temel Alanı
  2. Yan Dal Mekatronik Mühendisliği
Articles 6 YÖKSİS 6 · OpenAlex 0 Total citations 36 h-index 2 · OpenAlex Q1 articles 0 Scopus · WoS Q1 0 Best field rank #145 / 312 Side field · top 46.5% Co-authors 7 2 Turkish institutions

Citation impact

OpenAlex YÖKSİS articles matched in OpenAlex: 3
h-index 2 Percentile in Türkiye: 28 #100 of 142 at their university by h-index
i10-index
2
Total citations
36
Top 53% in Türkiye
Per article
12.0
FWCI
1.20
1.00 = world average
World top 1%
0
World top 10%
0
How is this computed?

h-index and citations are computed from the citation counts of this academic’s YÖKSİS articles matched in OpenAlex (not Google Scholar, WoS or Scopus). Unmatched articles are not included. h-index on the OpenAlex author profile: 2.

Field ranking

YÖKSİS ?
Keyword rankings 3

Collaboration network

From the author lists of YÖKSİS publication records. Duplicate records of a work count once; institutions are co-authors’ current YÖKSİS affiliations.

Co-authors
7
With an akaturk profile
6
Turkish institutions
2
Co-authored works
%100

Academic co-authors 6

  1. EMRE YÜKSEK Doktor Öğretim Üyesi · Sivas Cumhuriyet Üniversitesi 4
  2. SITKI AKKAYA Doçent · Sivas Bilim Ve Teknoloji Üniversitesi same university 4
  3. BİLAL TEKİN Araştırma Görevlisi · Bingöl Üniversitesi 2
  4. METİN ZONTUL Profesör · Sivas Bilim Ve Teknoloji Üniversitesi same university 2
  5. OĞUZ KAYNAR Profesör · Sivas Cumhuriyet Üniversitesi 2
  6. RAMAZAN KATIRCI Profesör · Sivas Bilim Ve Teknoloji Üniversitesi same university 2

National collaboration 2 institutions

Within own university6 joint works · Sivas Bilim Ve Teknoloji Üniversitesi

  1. Sivas Cumhuriyet Üniversitesi 6 works · 2 academics
  2. Bingöl Üniversitesi 2 works · 1 academics

Other co-authors (incl. international) 1

OSMAN GÖKHAN KÖMÜRKAYA 2

Authors without an akaturk profile (international researchers, retired or former academics, students, clinicians) are grouped by name spelling; short forms such as “Gulluce M.” join the single full name they match.

Indexes and citation percentiles

?
TR Index 3 articles
OpenAlex citation percentile
Top 1%0
Top 10%0
Avg · n 5 %76.3
Other counts

Scopus (SJR)

  • YÖKSİS rows 5

WoS (JCR)

  • YÖKSİS rows 4

Articles

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

6articles

Journals with publications

7 journals

Narrow down

Scopus (SJR)
Q10 Q21 Q31 Q41
WoS (JCR)
Q10 Q20 Q32 Q40
TR Index

Article list

  1. 2026 Detection and Classification of Power Quality Disturbances with Feature Extraction and Machine Learning Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi DOI 10.29137/ijerad.1460344 YÖKSİS TR Index OpenAlex 46.1%
  2. 2026 Öznitelik Çıkarma ve Makine Öğrenimi ile Güç Kalitesi Bozunumlarının Tespiti ve Sınıflandırılması International Journal of Engineering Research and Development YÖKSİS
  3. 2024 A New Comparative Approach Based on Features of Subcomponents and Machine Learning Algorithms to Detect and Classify Power Quality Disturbances Electric Power Components and Systems DOI 10.1080/15325008.2023.2260375 2 YÖKSİS records YÖKSİS SJR Q3 JCR Q3 OpenAlex 79.9%
  4. 2024 A comprehensive research of machine learning algorithms for power quality disturbances classifier based on time-series window Electrical Engineering DOI 10.1007/s00202-023-02177-8 2 YÖKSİS records YÖKSİS SJR Q2 JCR Q3 OpenAlex 87.9%
  5. 2022 Classification of Zinc-Coated Parts in Accordance with their Brightness Degree using Deep Learning Techniques Journal of the Turkish Chemical Society Section B DOI https://dergipark.org.tr/en/download/article-file/2578909 YÖKSİS TR Index
  6. 2022 Classification of Zinc-Coated Parts in Accordance with their Brightness Degree using Deep Learning Techniques Classification of Zinc-Coated Parts in Accordance with their Brightness Degree using Deep Learning Techniques DOI hthtps://dergipark.org.tr/en/download/article-file/2578909 YÖKSİS TR Index SJR Q4

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