SCIESCOPUSQ1
Eksploatacja i Niezawodnosc-Maintenance and Reliability
POLISH MAINTENANCE SOC
Eksploatacja i Niezawodnosc-Maintenance and Reliability is an academic journal published by POLISH MAINTENANCE SOC. Identifiers: ISSN 1507-2711, eISSN 1507-2711. Indexed in SCIE, SCOPUS. Metrics: JIF 3.1, CiteScore 6.0, SJR 0.641, SNIP 1.12. Subject areas: ENGINEERING, ENGINEERING, MULTIDISCIPLINARY, MULTIDISCIPLINARY. tlooto lists 696 papers from this journal.
CiteScore
6.00
Scopus citation metric
SJR
0.641
SCImago rank
SNIP
1.12
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1507-2711
- eISSN
- 1507-2711
- Abbreviation
- EKSPLOAT NIEZAWODN
- Publisher
- POLISH MAINTENANCE SOC
- Country
- -
Web of Science categories
SCIEENGINEERING, MULTIDISCIPLINARY
Scopus ASJC categories
2209 Industrial and Manufacturing Engineering2213 Safety
Keywords
Engineering, Multidisciplinary
Papers in this journal
Recent papers
- An approach to analyse of LED degradation heterogeneity in step-stress accelerated testing
2026 · 2 citations
- Experimental vibration analysis of pilot night vision goggles in the context of exploitation in helicopters.
2026
- A Multi-Scale Depth-wise Separable Convolution Swin Transformer for Fault Diagnosis of In-Wheel Motor Bearings
2026
- Cross Synergy Model-Based Accuracy Improvement for Manipulator Trajectory Planning in Dynamic Environments
2026
- The application of Bayesian networks to estimate the marginal probability of leakage in dental composite reconstructions
2026
Most cited papers
- Determination of the average maintenance time of CNC machine tools based on type II failure correlation
2017 · 78 citations
- Assessment model of cutting tool condition for real-time supervision system
2019 · 69 citations
- Maintenance of industrial reactors supported by deep learning driven ultrasound tomography
2019 · 68 citations
- Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods
2018 · 62 citations
- Operational quality measures of vehicles applied for the transport services evaluation using artificial neural networks
2018 · 54 citations