Journal Details

Journal of Advanced Computing and Communication Technologies Top Journal
👁 Views: 5345

Journal Details

🌐 Website:
🏛 Publisher:
Fifth Direction IT Consulting Pvt Ltd.
🌍 Country:
India
🖥 ISSN (Online):
2347-2804
📄 ISSN (Print):
-
📚 Categories:
Computer Science Electrical Engineering and Science Mathematics and Statistics Mechanical
📑 UGC Journal Quality Index (UGC-JQI)
UGC-JQI Score
53
Out of 100
Journal Grade
Under Review
Evaluation Status
Evaluated
Under Review B B+ A A+
0 60 70 80 90 100
Grade Score Range
A+ Excellence 90 – 100
A Grade 80 – 89
B+ Grade 70 – 79
B Grade 60 – 69
Under Review Below 60
Methodology: The UGC Journal Quality Index (UGC-JQI) score is computed using journal-related information provided by the publisher and publicly available on the journal's website.
The assessment framework is based on the University Grants Commission (UGC) "Suggestive Parameters for Peer-Reviewed Journals", ensuring alignment with the quality benchmarks recommended by the UGC. The official UGC guidelines can be accessed at: https://www.ugc.gov.in/pdfnews/9678711_PUBLIC-NOTICE-CARE.pdf.
📊 Impact Factor Trends
2016
2.65
2017
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2018
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2019
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2020
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2021
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2022
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2023
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2024
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2025
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2026
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📊 Journal Quality Score (JQS) Trends
2016
64.23 /100
2017
JQS Not Assigned yet
2018
JQS Not Assigned yet
2019
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2020
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2021
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2022
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2023
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2024
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2025
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2026
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Description

Journal of Advanced Computing and Communication Technologies is an international quality, peer reviewed journal covering innovative research and practice in Information Technology. It provides high quality peer reviewed survey and review articles in computer science, information systems and software engineering that aim to effectively transfer knowledge for the Asian context. JACOTECH purpose to improve the state-of-the-art of worldwide research in communication networks and various IT Related issues and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.

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