Journal of Information Systems and Telecommunication
Published by Iranian Academic Center for Education, Culture and Research
ISSN : 2322-1437 eISSN : 2345-2773
Abbreviation : J. Inf. Syst. Telecommun.
Aims & Scope
This Journal will emphasize the context of the researches based on theoretical and practical implications of information Systems and Telecommunications.
JIST aims to promote the study and knowledge investigation in the related fields.
The Journal covers technical, economic, social, legal and historic aspects of the rapidly expanding worldwide communications and information industry.
The journal aims to put new developments in all related areas into context, help readers broaden their knowledge and deepen their understanding of telecommunications policy and practice.
JIST encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues.
JIST is planned to build particularly its reputation by publishing qualitative researches and it welcomes such papers.
This journal aims to disseminate success stories, lessons learnt, and best practices captured by researchers in the related fields.
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
---|---|
2024 | 22870 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 90 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.174 |
Quartile
Year | Value |
---|---|
2024 | Q4 |
h-index
Year | Value |
---|---|
2024 | 11 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
- Aims scope
- Homepage
- Oa statement
- Author instructions
- License terms
- Review url
- Board url
- Copyright url
- Apc url
- License
APC Details
The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.
This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 100.00 USD. Learn more.
Explore journals without APCs for alternative publishing options.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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An Autonomic Software Defined Network (SDN) Architecture With Performance Improvement Considering
Citation: 10
Authors: Alireza, Ali
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An Approach to Improve the Quality of Service in DTN and Non-DTN based VANET
Citation: 8
Authors: Ahmad, Yousef
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AI based Computational Trust Model for Intelligent Virtual Assistant
Citation: 5
Authors: Babu, Ajay Vikram, Parul
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Localization of Blockchain and E-Currency Model for E-Government Services
Citation: 5
Authors: Maryam, Sajjad, Mehrzad
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A Survey on Multi-document Summarization and Domain-Oriented Approaches
Citation: 4
Authors: Mahsa, Hossein, Ayoub, Grzegorz
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Digital Transformation Model, Based on Grounded Theory
Citation: 4
Authors: Abbas, Mohammad Ali, Reza
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A Novel Approach for Establishing Connectivity in Partitioned Mobile Sensor Networks using Beamforming Techniques
Citation: 4
Authors: Abbas, Shahram
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A Novel Detector based on Compressive Sensing for Uplink Massive MIMO Systems
Citation: 4
Authors: Mojtaba, Amir
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A Hybrid Machine Learning Approach for Sentiment Analysis of Beauty Products Reviews
Citation: 4
Authors: Kanika, Rajni