IEEE Transactions on Reliability
Published by IEEE
ISSN : 0018-9529 eISSN : 1558-1721
Abbreviation : IEEE Trans. Reliab.
Aims & Scope
IEEE Transactions on Reliability is a refereed journal for the reliability and allied disciplines including, but not limited to, maintainability, physics of failure, life testing, prognostics, design and manufacture for reliability, reliability for systems of systems, network availability, mission success, warranty, safety, and various measures of effectiveness.
Topics eligible for publication range from hardware to software, from materials to systems, from consumer and industrial devices to manufacturing plants, from individual items to networks, from techniques for making things better to ways of predicting and measuring behavior in the field.
As an engineering subject that supports new and existing technologies, we constantly expand into new areas of the assurance sciences.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 5.7 |
2024 | 5.00 |
Journal Rank
Year | Value |
---|---|
2024 | 3236 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 2586 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 1.264 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 125 |
Impact Factor Trend
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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Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
Citation: 1406
Authors: Amrit L., Kazu
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A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Citation: 1338
Authors: Biao, Yaguo, Naipeng, Ningbo
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Exponentiated Weibull family for analyzing bathtub failure-rate data
Citation: 821
Authors: G.S., D.K.
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S-Shaped Reliability Growth Modeling for Software Error Detection
Citation: 663
Authors: Shigeru, Mitsuru, Shunji
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Dynamic fault-tree models for fault-tolerant computer systems
Citation: 597
Authors: J.B., S.J., M.A.
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Reliability optimization of series-parallel systems using a genetic algorithm
Citation: 587
Authors: D.W., A.E.
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Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process
Citation: 560
Authors: Xiao-Sheng, Wenbin, Chang-Hua, Dong-Hua, Michael G.
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Fault Tree Analysis, Methods, and Applications ß A Review
Citation: 553
Authors: W. S., D. L., F. A., C. H.
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A Model-Based Method for Remaining Useful Life Prediction of Machinery
Citation: 508
Authors: Yaguo, Naipeng, Szymon, Jing, Stanislaw, Jacek