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Anabilim Dalı

Bilişim Güvenliği Teknolojisi

📊 Üniversite genelinde 195. sırada  ·  512 Anabilim Dalı arasında
AVİD Skoru
238 / 500
Ham toplam 46 · Ort. 45,6
2
Akademisyen
16
YÖKSİS Makale
21
Scopus Makale
441 atıf
441
Scopus Atıf
Ort. 0,0/makale
13,0
Ort. H-İndeks
17
WoS Makale
386 atıf · Ort. H 10,0
0
SDG Yayını
Sürdürülebilir Kalkınma
18.09
Son Güncelleme
22:41

Üniversite Geneli Karşılaştırma 512 Anabilim Dalı arasında · 195. sıra

★ Toplam AVID
46
195 / 512
▼ %58 ort.
★ Ort. AVID
45,6
68 / 512
▲ %137 ort.
Akademisyen
2
360 / 512
▼ %61 ort.
YÖKSİS Makale
16
385 / 512
▼ %86 ort.
Scopus Makale
21
187 / 512
▼ %62 ort.
Scopus Atıf
441
140 / 512
▼ %37 ort.
Scopus H-İndeks
13,0
24 / 512
▲ %244 ort.
WoS Makale
17
197 / 512
▼ %66 ort.
WoS Atıf
386
140 / 512
▼ %38 ort.
WoS H-İndeks
10,0
40 / 512
▲ %181 ort.
SDG Yayını
0
230 / 512
▼ %100 ort.
Üstünlükler

Scopus H-İndeks

Ortalama: 3,8

+%244

WoS H-İndeks

Ortalama: 3,6

+%181

Ort. AVID

Ortalama: 19,2

+%137
Gelişime Açık

SDG Yayını

Ortalama: 2,5

%-100

YÖKSİS Makale

Ortalama: 117,5

%-86

WoS Makale

Ortalama: 50,2

%-66

Scopus Makale

Ortalama: 55,5

%-62

Akademisyen

Ortalama: 5,2

%-61

Toplam AVID

Ortalama: 107,8

%-58

WoS Atıf

Ortalama: 619,6

%-38

Scopus Atıf

Ortalama: 697,7

%-37

Sıralamada Yakın Birimler (Genel Skor Bazlı)

Sıra Birim Adı Akademisyen Scopus Mak. Scopus Atıf Scopus H WoS Mak. WoS Atıf WoS H SDG
193
 Çayır Mera ve Yem Bitkileri
Tarla Bitkileri
 4 19 92 2,5 25 153 2,7 8
194
 Birey ve Toplum Sorunları
Sosyal Hizmet
 3 30 85 3,7 23 55 3,5 4
195
 Bilişim Güvenliği Teknolojisi Bu Birim
Bilgisayar Teknolojileri
 2 21 441 13,0 17 386 10,0 0
196
 Yazılım
Mekatronik Mühendisliği
 1 27 278 12,0 19 199 9,0 2
197
 Çevre Koruma ve Kontrol
Çevre Koruma Teknolojileri
 5 30 345 4,3 3 2 1,0 4

Akademisyenler

# Akademisyen ★ AVİD Scopus H Scopus Mak. Scopus Atıf YÖKSİS Mak. WoS Mak.
1
RAMAZAN KURŞUN
RAMAZAN KURŞUN
Öğr. Gör.
239
#331
13
21
441
16
17
386 atıf · H:10
2
RAHİME BİLİR
RAHİME BİLİR
Öğr. Gör.
—
0
0
0
0
0

Performans Özeti

Toplam AVID 46
Ort. AVID 45,62
En Yüksek AVID 45,6
Akademisyen 2
YÖKSİS Makale 16
Scopus Makale 21
Scopus Atıf 441
Scopus Ort. Atıf/Mak. 0,00
Scopus H-İndeks 13,0
WoS Makale 17
WoS Atıf 386
WoS Ort. Atıf/Mak. 22,71
WoS H-İndeks 10,0
SDG Yayını 0

En Çok Atıf Alan Scopus Makaleleri

Classification of Date Fruits into Genetic Varieties Using Image Analysis
Mathematical Problems in Engineering · 2021 103 atıf
Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models
Electronics Switzerland · 2022 87 atıf
Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine
Computers and Electronics in Agriculture · 2023 60 atıf
Application of Pre-Trained Deep Convolutional Neural Networks for Coffee Beans Species Detection
Food Analytical Methods · 2022 49 atıf
Classification of deep image features of lentil varieties with machine learning techniques
European Food Research and Technology · 2023 45 atıf
Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques
European Food Research and Technology · 2022 43 atıf
Segmentation of dry bean (Phaseolus vulgaris L.) leaf disease images with U-Net and classification using deep learning algorithms
European Food Research and Technology · 2023 33 atıf
Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models
European Food Research and Technology · 2024 32 atıf
Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction
Computational Intelligence and Neuroscience · 2022 30 atıf
Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms
2022 11th Mediterranean Conference on Embedded Computing Meco 2022 · 2022 28 atıf

En Çok Atıf Alan WoS Makaleleri

Classification and Analysis of Pistachio Species with Pre-Trained Deep Learning Models
ELECTRONICS · 2022 64 atıf
Classification of Date Fruits into Genetic Varieties Using Image Analysis
MATHEMATICAL PROBLEMS IN ENGINEERING · 2021 58 atıf
Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine
COMPUTERS AND ELECTRONICS IN AGRICULTURE · 2023 47 atıf
Classification of deep image features of lentil varieties with machine learning techniques
EUROPEAN FOOD RESEARCH AND TECHNOLOGY · 2023 34 atıf
Computer vision classification of dry beans (<i>Phaseolus vulgaris L</i>.) based on deep transfer learning techniques
EUROPEAN FOOD RESEARCH AND TECHNOLOGY · 2022 31 atıf
Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models
EUROPEAN FOOD RESEARCH AND TECHNOLOGY · 2024 28 atıf
Application of Pre-Trained Deep Convolutional Neural Networks for Coffee Beans Species Detection
FOOD ANALYTICAL METHODS · 2022 27 atıf
Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE · 2022 25 atıf
Segmentation of dry bean <i>(Phaseolus vulgaris L.)</i> leaf disease images with U-Net and classification using deep learning algorithms
EUROPEAN FOOD RESEARCH AND TECHNOLOGY · 2023 18 atıf
Maize seeds forecasting with hybrid directional and bi-directional long short-term memory models
FOOD SCIENCE & NUTRITION · 2024 16 atıf

Hızlı Erişim

Tüm Birimlere Dön Akademisyenler Yayınlar Üst Birim: Bilgisayar Teknolojileri