Journal of Electrical Systems
Published by Engineering and Scientific Research Groups
ISSN : 1112-5209
Abbreviation : J. Electr. Syst.
Metrics & Ranking
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.180 |
Quartile
Year | Value |
---|---|
2024 | Q4 |
h-index
Year | Value |
---|---|
2024 | 22 |
Journal Rank
Year | Value |
---|---|
2024 | 22497 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 147 |
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 and Engineering, 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.
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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Exploring AI-driven Innovations in Image Communication Systems for Enhanced Medical Imaging Applications
Citation: 52
Authors: Suresh Dodda, Suman Narne, Sathishkumar Chintala,
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Forecasting the Future: A Comprehensive Review of Time Series Prediction Techniques
Citation: 27
Authors: Milind Kolambe,
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Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets
Citation: 21
Authors: Jubin
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Predictive Resource Allocation Strategies for Cloud Computing Environments Using Machine Learning
Citation: 12
Authors: Et al.
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Unlocking Machine Learning Model Decisions: A Comparative Analysis of LIME and SHAP for Enhanced Interpretability
Citation: 11
Authors: Deepak Mane, Anand Magar, Om Khode,