- Q1 1 %100.0
- Q2 0 %0.0
- Q3 0 %0.0
- Q4 0 %0.0
Academician
ÜNAL KAYA
Öğretim Görevlisi (ders Vermekle Görevli)
Karabük Üniversitesi Türkiye Odalar Ve Borsalar Birliği Teknik Bilimler Meslek Yüksekokulu Elektrik Ve Enerji Bölümü
Citation impact
OpenAlex YÖKSİS articles matched in OpenAlex: 1 + YÖKSİS · co-author record: 1- i10-index
- 0
- Total citations
- 2 Top 100% in Türkiye
- Per article
- 1.0
- FWCI
- 0.00 1.00 = world average
- World top 1%
- 0
- World top 10%
- 0
Most cited articles
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. 1 articles (2 citations) tagged with this academic’s YÖK author id in co-authors’ YÖKSİS records count only towards citations, h-index and i10; article counts, percentiles and rankings use their own YÖKSİS list.
Field ranking
YÖKSİS ?-
Main field Mühendislik Temel AlanıPoints rank #17,263/ 24,860 top 69.4% At university #217/ 301Score 2 journal 2 · OA add 0
- Article rank15,239/24,860
- Scopus rank19,287/24,860
- WoS rank19,167/24,860
- YÖKSİS6
- Scopus1
- WoS1
-
Side field Elektrik-Elektronik ve Haberleşme MühendisliğiPoints rank #2,040/ 2,948 top 69.2% At university #24/ 36Score 2 journal 2 · OA add 0
- Article rank1,774/2,948
- Scopus rank2,282/2,948
- WoS rank2,264/2,948
- YÖKSİS6
- Scopus1
- WoS1
-
Kw. Akıllı Elektrik ŞebekeleriPoints rank #100/ 142 top 70.4% At university #2/ 3Score 2 journal 2 · OA add 0
- Article rank90/142
- Scopus rank116/142
- WoS rank115/142
- YÖKSİS6
- Scopus1
- WoS1
-
Kw. Elektrik TesisleriPoints rank #210/ 370 top 56.8% At university #1/ 4Score 2 journal 2 · OA add 0
- Article rank186/370
- Scopus rank250/370
- WoS rank248/370
- YÖKSİS6
- Scopus1
- WoS1
-
Kw. Yenilenebilir Enerji SistemleriPoints rank #653/ 922 top 70.8% At university #12/ 21Score 2 journal 2 · OA add 0
- Article rank574/922
- Scopus rank724/922
- WoS rank719/922
- YÖKSİS6
- Scopus1
- WoS1
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
- 9
- With an akaturk profile
- 6
- Turkish institutions
- 5
- Co-authored works
- %100
Academic co-authors 6
- MEHMET AKKAŞ Doçent · Kahramanmaraş İstiklal Üniversitesi 2
- YÜKSEL OĞUZ Profesör · Afyon Kocatepe Üniversitesi 2
- CİHANGİR TEVFİK SEZGİN Doktor Öğretim Üyesi · Kastamonu Üniversitesi 1
- SERKAN ISLAK Profesör · Kastamonu Üniversitesi 1
- YUNUS BİÇEN Profesör · Düzce Üniversitesi 1
- ÇETİN SEMERCİ Profesör · Bartın Üniversitesi 1
National collaboration 5 institutions
- Afyon Kocatepe Üniversitesi 2 works · 1 academics
- Kahramanmaraş İstiklal Üniversitesi 2 works · 1 academics
- Kastamonu Üniversitesi 2 works · 2 academics
- Bartın Üniversitesi 1 works · 1 academics
- Düzce Üniversitesi 1 works · 1 academics
Other co-authors (incl. international) 3
HACI GÜZEL GÜLEÇMURAT CANERÜmit Şenol
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.
Index quartiles
?- Q1 1 %100.0
- Q2 0 %0.0
- Q3 0 %0.0
- Q4 0 %0.0
Other counts
Scopus (SJR)
- YÖKSİS rows 1
WoS (JCR)
- YÖKSİS rows 1
Articles
Articles with YÖKSİS and OpenAlex source split; narrow by quartile or TR Index.
Journals with publications
3 journals
Narrow down
Article list
- 2026 Fault diagnosis in power transformers based on dissolved gas analysis using hybrid stacking and voting ensembles YÖKSİS SJR Q1 JCR Q1 OpenAlex 77.4%
- 2018 An Assessment of Energy Production Capacity of Amasra Town Using Artificial Neural Networks YÖKSİS
- 2017 Yükseköğretimde bağıl ve mutlak değerlendirmeye ilişkin öğretim elemanlarının görüşleri YÖKSİS
- 2017 Cu-TiC Kompozitlerin Mekanik ve Fiziksel Özelliklerinin Yapay Sinir Ağları (YSA) Modeli ile Tahmini YÖKSİS
- 2016 WIND ENERGY POTENTIAL ESTIMATION VIA ARTIFICIAL NEURAL NETWORKS YÖKSİS
- 2016 ESTIMATING WEARING RATE OF STEEL COATING SiC P BY USING TIG METHOD WITH ARTIFICIAL NEURAL NETWORKS YÖKSİS