Journal of Process Control

SJR Rank #6,038H-index: 138SJR: 0.874Best quartile: Q1APC: US$3,700
Journal website: aims, scope and author guidelines
Publisher

Elsevier Ltd

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Control and Systems EngineeringQ1
  • Industrial and Manufacturing EngineeringQ1
  • Modeling and SimulationQ1
  • Computer Science ApplicationsQ2

Areas: Computer Science · Engineering · Mathematics

Most published research topics

Advanced Control Systems OptimizationFault Detection and Control SystemsControl Systems and IdentificationProcess Optimization and IntegrationAdvanced Control Systems DesignMineral Processing and GrindingIterative Learning Control SystemsHuman auditory perception and evaluationDiverse Scientific and Economic StudiesEducational Robotics and Engineering

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0150300450600

Documents per Year

2022202504590135180

Detailed Information

ISSN

0959-1524

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.95

References per Document

42.42

Coverage

1991-2026

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.

Metrics from SCImago Journal Rank 2025. View on SCImago