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Bilgisayar Teknolojileri

📊 Üniversite genelinde 93. sırada · 232 Bölüm arasında

AVİD Skoru

213 / 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

18:47

Üniversite Geneli Karşılaştırma 232 Bölüm arasında · 93. sıra

★ Toplam AVID

46

91 / 232

▼ %81 ort.

★ Ort. AVID

45,6

20 / 232

▲ %215 ort.

Akademisyen

2

197 / 232

▼ %82 ort.

YÖKSİS Makale

16

168 / 232

▼ %94 ort.

Scopus Makale

21

80 / 232

▼ %83 ort.

Scopus Atıf

441

56 / 232

▼ %71 ort.

Scopus H-İndeks

13,0

9 / 232

▲ %311 ort.

WoS Makale

17

87 / 232

▼ %85 ort.

WoS Atıf

386

57 / 232

▼ %72 ort.

WoS H-İndeks

10,0

10 / 232

▲ %238 ort.

SDG Yayını

0

105 / 232

▼ %100 ort.

Üstünlükler

Scopus H-İndeks

Ortalama: 3,2

+%311

WoS H-İndeks

Ortalama: 3,0

+%238

Ort. AVID

Ortalama: 14,5

+%215

Gelişime Açık

SDG Yayını

Ortalama: 5,5

%-100

YÖKSİS Makale

Ortalama: 259,2

%-94

WoS Makale

Ortalama: 110,8

%-85

Scopus Makale

Ortalama: 122,6

%-83

Akademisyen

Ortalama: 11,4

%-82

Toplam AVID

Ortalama: 237,8

%-81

WoS Atıf

Ortalama: 1367,3

%-72

Scopus Atıf

Ortalama: 1539,7

%-71

Sıralamada Yakın Birimler (Genel Skor Bazlı)

Sıra	Birim Adı	Akademisyen	Scopus Mak.	Scopus Atıf	Scopus H	WoS Mak.	WoS Atıf	WoS H	SDG
91	Özel Hukuk Hukuk Fakültesi	29	0	0	0,0	14	7	1,0	0
92	Bitkisel ve Hayvansal Üretim Sarayönü Meslek Yüksekokulu	11	23	110	3,3	32	103	3,0	2
93	Bilgisayar Teknolojileri Bu Birim Güneysınır Meslek Yüksekokulu	2	21	441	13,0	17	386	10,0	0
94	Çevre Koruma Teknolojileri Sarayönü Meslek Yüksekokulu	5	30	345	4,3	3	2	1,0	4
95	Geleneksel Türk Sanatları Güzel Sanatlar Fakültesi	12	4	1	1,0	3	0	0,0	0

Alt Birimler (1)

Bilişim Güvenliği Teknolojisi

2 21 S-H: 13,0 17 W-H: 10,0 0

Akademisyenler

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