Transactions of the Institute of Measurement and Control
Published by SAGE
ISSN : 0142-3312 eISSN : 1477-0369
Abbreviation : Trans. Inst. Meas. Control.
Aims & Scope
Transactions of the Institute of Measurement and Control is the fully peer reviewed international journal of the Institute of Measurement and Control.
The journal covers all areas of applications in instrumentation and control.
Its scope encompasses cutting-edge research and development, education and industrial applications.
Providing a dynamic forum for the international measurement and control community, this distinguished journal publishes peer-reviewed papers designed to appeal to both researchers and practitioners.
It presents up-to-date coverage of the latest developments, offering a unique interdisciplinary perspective.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.9 |
| 2024 | 1.70 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.427 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q3 |
h-index
| Year | Value |
|---|---|
| 2024 | 54 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 13182 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 2202 |
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 Physics and Astronomy, 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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Comparison of prognostic algorithms for estimating remaining useful life of batteries
Citation: 334
Authors: Bhaskar, Kai, Jon
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A particle-filtering approach for on-line fault diagnosis and failure prognosis
Citation: 323
Authors: Marcos E., George J.
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Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery
Citation: 304
Authors: Te, Dongxiang, Qi, Lei, Kai
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Hierarchical anti-disturbance adaptive control for non-linear systems with composite disturbances and applications to missile systems
Citation: 132
Authors: Lei, Xin-Yu
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Interpretive structural modelling: a methodology for structuring complex issues
Citation: 127
Authors: F.R.
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A speed control for a PMSM using finite-time feedback control and disturbance compensation
Citation: 125
Authors:
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Quantized iterative learning control of communication-constrained systems with encoding and decoding mechanism
Citation: 117
Authors: Yujuan, Hongfeng, Zhihe, Vladimir, Wojciech
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Recent developments in flexible wearable electronics for monitoring applications
Citation: 112
Authors: S.
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Feedback control strategies for quadrotor-type aerial robots: a survey
Citation: 108
Authors: Necdet Sinan, Mert, Mehmet Önder