- Q1 0 —
- Q2 0 —
- Q3 0 —
- Q4 0 —
Academician
BÜŞRA BÜLBÜL
Araştırma Görevlisi
Çukurova Üniversitesi Mühendislik Fakültesi Elektrik-Elektronik Mühendisliği Bölümü
- Ana Dal Mühendislik Temel Alanı
- Yan Dal Bilgisayar Bilimleri ve Mühendisliği
Academic summary
YÖKSİS and OpenAlex counted separately.
Articles
1
YÖKSİS1
OpenAlex0
Projects
1
Books
0
Proceedings
1
Citation impact
OpenAlex YÖKSİS articles matched in OpenAlex: 1
h-index
1
Percentile in Türkiye: 8
#1,217 of 1,465 at their university by h-index
- i10-index
- 0
- Total citations
- 1 Top 92% 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.
Field ranking
YÖKSİS ?-
Main field Mühendislik Temel AlanıPoints rank #21,078/ 24,860 top 84.8% At university #240/ 277Score 0.2 journal 0.2 · OA add 0
- Article rank20,832/24,860
- Scopus rank23,519/24,860
- WoS rank23,525/24,860
- YÖKSİS1
- Scopus0
- WoS0
-
Side field Bilgisayar Bilimleri ve MühendisliğiPoints rank #2,866/ 3,782 top 75.8% At university #21/ 30Score 0.2 journal 0.2 · OA add 0
- Article rank2,811/3,782
- Scopus rank3,472/3,782
- WoS rank3,471/3,782
- YÖKSİS1
- Scopus0
- WoS0
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
- 1
- With an akaturk profile
- 1
- Turkish institutions
- 0
- Co-authored works
- %100
Academic co-authors 1
- MUSTAFA GÖK Profesör · Çukurova Üniversitesi same university 1
National collaboration 0 institutions
Within own university1 joint works · Çukurova Üniversitesi
No joint work with another Turkish university.
Index quartiles
?- Q1 0 —
- Q2 0 —
- Q3 0 —
- Q4 0 —
Top 1%0
Top 10%0
Avg · n 1
%13.1
Projects
Research and development projects recorded in YÖKSİS.
Records
-
— Human Presence Detection with Convolutional Neural Network