Journal of Process Control
Published by Elsevier
ISSN : 0959-1524
Abbreviation : J. Process. Control.
Aims & Scope
This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems.
In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others.
Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques.
Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants.
Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 3.9 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.869 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 133 |
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 Computer Science, Engineering and Mathematics, 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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A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
Citation: 1158
Authors: Shen, Steven X., Adel, Haiyang, Ping
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Architectures for distributed and hierarchical Model Predictive Control – A review
Citation: 1053
Authors: Riccardo
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Survey of robust residual generation and evaluation methods in observer-based fault detection systems
Citation: 1030
Authors: P.M., X.
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Revisiting the Ziegler–Nichols step response method for PID control
Citation: 796
Authors: K.J., T.
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The process chemometrics approach to process monitoring and fault detection
Citation: 687
Authors: Barry M., Neal B.
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Statistical process monitoring with independent component analysis
Citation: 674
Authors: Jong-Min, ChangKyoo, In-Beum
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Survey on iterative learning control, repetitive control, and run-to-run control
Citation: 667
Authors: Youqing, Furong, Francis J.
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A tutorial review of economic model predictive control methods
Citation: 607
Authors: Matthew, Helen, Panagiotis D.