International Journal of Performability Engineering
Published by Totem Publisher Inc.
ISSN : 0973-1318 eISSN : 2993-8341
Abbreviation : Int. J. Perform. Eng.
Aims & Scope
The International Journal of Performability Engineering (IJPE) is a refereed international journal of the 21st century and invites papers on theoretical as well as practical aspects of quality, reliability, security, safety, and maintainability of systems (software and hardware), products, and services.
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
---|---|
2024 | 20610 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 321 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.210 |
Quartile
Year | Value |
---|---|
2024 | Q4 |
h-index
Year | Value |
---|---|
2024 | 30 |
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 Engineering, designed to support cutting-edge academic discovery.
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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Predicting the Effect of Nano-Structural Parameters on the Elastic Properties of Carbon Nanotube-Polymeric based Composites
Citation: 40
Authors: Ahmad, Faris M., Mohammad A.
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Detecting Pulmonary Embolism using Deep Neural Networks
Citation: 33
Authors: J., G., A., R.S., P., M.E
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Electromagnetic Signal Feature Fusion and Recognition based on Multi-Modal Deep Learning
Citation: 24
Authors: Changbo, Xiao, Xiang
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Early Software Defects Prediction Using Fuzzy Logic
Citation: 23
Authors: KUMAR YADAV, RAVINDRA B.MISRA
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Analyzing the Barriers to Industry 4.0 Through Best-Worst Method
Citation: 22
Authors: Shailendra, Mohd, Mohammad
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Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection
Citation: 18
Authors: Tran, Chen, Jiang, Bhuyan, Ding