International Journal of Fatigue

International Journal of Fatigue - ISSN 0142-1123
Source Normalized Impact per Paper (SNIP): 2.292 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.669 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 5.186 (2020) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 4.946 (2020) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volume 12
Issues: 12 issues
ISSN: 01421123

Personal Subscription

Sales tax will be calculated at check-out Price includes VAT/GST

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.


Typical subjects discussed in International Journal of Fatigue address:

  • Novel fatigue testing and characterization methods (new kinds of fatigue tests, in situ electron microscopy characterization of fatigue degradation, non-contact field measurements, in situ synchrotron-based methods)
  • Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
  • Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
  • Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting random vibrations during service loading and distribution of microstructure features)
  • Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
  • Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
  • Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) and smart materials and structures that can sense and mitigate fatigue degradation
  • Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes critical evaluation of existing methods, issues related to design, operation and maintenance, i.e., life cycle engineering
  • Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces
  • Combined and coupled behaviours that affect thermo-chemical-mechanical degradation processes under cyclic loading conditions are also included in the scope of the journal
  • Fatigue analysis of materials and structures based on the data science, including data mining, data fusion, and machine learning
  • High throughput acquisition of fatigue data for materials and structures
  • Fatigue assessment for the newly emerging materials and structures, such as additive manufactured materials and structures, soft materials, bonded joints, composites, and composite structures