SCIESCOPUSQ1
MEASUREMENT
ELSEVIER SCI LTD
MEASUREMENT is an academic journal published by ELSEVIER SCI LTD. Identifiers: ISSN 0263-2241, eISSN 1873-412X. Indexed in SCIE, SCOPUS. Metrics: JIF 5.6, CiteScore 11.5, SJR 1.244, SNIP 1.81. Subject areas: ENGINEERING, INSTRUMENTS & INSTRUMENTATION, MULTIDISCIPLINARY. tlooto lists 24,262 papers from this journal.
CiteScore
11.50
Scopus citation metric
SJR
1.244
SCImago rank
SNIP
1.81
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 0263-2241
- eISSN
- 1873-412X
- Abbreviation
- MEASUREMENT
- Publisher
- ELSEVIER SCI LTD
- Country
- -
Web of Science categories
SCIEENGINEERING, INSTRUMENTS & INSTRUMENTATION, MULTIDISCIPLINARY
Scopus ASJC categories
2208 Electrical and Electronic Engineering3105 Instrumentation
Keywords
Engineering, Multidisciplinary | Instruments & Instrumentation
Papers in this journal
Recent papers
- Chatter detection in the turning process using acoustic wavelet scattergrams and transfer learning
2026 · 1 citations
- Mechanical properties and failure mechanisms of rock analogs under unilaterally confined conditions: Decoding borehole layout effects via AE and DIC monitoring
2026 · 4 citations
- Measurement and simulation: A conceptual framework
2026
- Characterization of micro-crack orientation and length using nonlinear ultrasonic phased array: a combined simulation and experimental study
2026 · 3 citations
- A new method for incipient fault diagnosis of power transformers based on image processing of phase resolved partial discharge pattern of transformer oil
2026 · 2 citations
Most cited papers
- Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
2016 · 730 citations
- Condition monitoring and fault diagnosis of planetary gearboxes: A review
2014 · 705 citations
- Intrinsic self-sensing concrete and structures: A review
2015 · 704 citations
- A sparse auto-encoder-based deep neural network approach for induction motor faults classification
2016 · 674 citations
- A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
2017 · 636 citations