sakarya university journal of computer and information sciences | Journament

Journal Ranking

#2440 / 33,971
📊 Below Average
Overall Score
41.3/100
Score Breakdown
Engagement
31
Accessibility
35
Timeliness
50
Diversity
30
Innovation
40
Community Impact
35
Ethics & Transparency
0
Content Quality
0
Editorial Diversity
0
Publication Regularity
0
Geographic Reach
0
Updated 1 month ago

sakarya university journal of computer and information sciences

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Indexings
Short Name sakarya university journal of computer and information sciences
Abbreviated Name sakarya university journal of computer and information sciences
ISSN
Aim and Scope
URL https://dergipark.org.tr/pub/saucis
Author Instructions

Publications Per Year

Recent Articles (17 total)

2016
profile of neurological disorders in an adult neurology clinic in kumasi, ghana
;Fred Stephen Sarfo;John Akassi;Elizabeth Badu;Aham Okorozo;Bruce Ovbiagele;Albert Akpalu
Vol. 3 , No. C , pp. 69-74
415 views DOI Abstract
2019
Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks
Murat Uçar;Emine Uçar;
Vol. 2 , pp. 41--52
378 views DOI Abstract
2019
Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks
Murat Uçar;Emine Uçar and
Vol. 2 , No. 1 , pp. 41-52
376 views DOI Abstract
2017
the utility of ultrasound in showing a unique cause of posterior interosseous nerve syndrome
;Derrick Soh;Cecilia Cappelen-Smith;John Korber;Tim Heath;Dennis Cordato
Vol. 8 , No. C , pp. 34-35
277 views DOI
2017
functional validation and expression analysis of myotubes converted from skin fibroblasts using a simple direct reprogramming strategy
;Fukuko Horio;Hidetoshi Sakurai;Yutaka Ohsawa;Shiho Nakano;Makoto Matsukura;Isao Fujii
Vol. 6 , No. C , pp. 9-15
263 views DOI Abstract
2019
Deep Learning Performance on Medical Image, Data and Signals
Pakize Erdoğmuş;
Vol. 2 , pp. 28--40
259 views DOI Abstract
2019
Deep Learning Performance on Medical Image, Data and Signals
Pakize Erdoğmuş and
Vol. 2 , No. 1 , pp. 28-40
258 views DOI Abstract
2019
Derin Öğrenme Algoritmalarını Kullanarak Görüntüden Cinsiyet Tahmini
Gül Gündüz;İsmail Hakkı Cedimoğlu and
Vol. 2 , No. 1 , pp. 9-17
254 views DOI Abstract
2019
Derin Öğrenme Algoritmalarını Kullanarak Görüntüden Cinsiyet Tahmini
Gül Gündüz;İsmail Hakkı Cedimoğlu;
Vol. 2 , pp. 9--17
248 views DOI Abstract
2019
Makine Öğrenmesi ile Ürün Kategorisi Sınıflandırma
Serap Kazan;Hakan Karakoca and
Vol. 2 , No. 1 , pp. 18-27
237 views DOI Abstract
View All 17 Articles
41
Overall
Below Average
31
35
30
40
35
50
0
0
0
0
0
Journament

Overall Quality Score

41.3/100

Tier: Below Average

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.7/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

35.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

30.0/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

40.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

35.0/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

50.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Ethics & Transparency Score

0.0/100

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

0.0/100

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

0.0/100

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

0.0/100

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

0.0/100

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.