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Automatisierungstechnik - Walter de Gruyter GmbH | 2024 Impact Factor:0.7 | Cite Score:2.1 | Q3

Automatisierungstechnik Journal - Walter de Gruyter GmbH

Impact Factor and Journal Rank of Automatisierungstechnik

  • About: Automatisierungstechnik is a peer-reviewed journal that publishes research articles, reviews, and technical notes related to automation technology. It serves as a platform for researchers, engineers, and practitioners to disseminate advancements in automation systems, control engineering, robotics, and related technologies.
  • Objective:
    The primary objective of Automatisierungstechnik is to advance the field of automation by publishing high-quality research that addresses the development, implementation, and optimization of automation technologies. The journal aims to bridge the gap between theoretical research and practical applications in automation systems.
  • Interdisciplinary Approach:
    Automatisierungstechnik often adopts an interdisciplinary approach, welcoming contributions that integrate automation technology with fields such as mechanical engineering, electrical engineering, computer science, and information technology. This interdisciplinary perspective enables researchers to tackle complex challenges in automation and enhance system performance and reliability.
  • Impact:
    The impact of Automatisierungstechnik lies in its role in promoting innovations and advancements in automation technology. By publishing cutting-edge research, the journal influences both academic research and industrial practices in areas such as process automation, control systems, mechatronics, industrial robotics, and smart manufacturing.
  • Significance:
    For researchers, engineers, and practitioners in automation technology, Automatisierungstechnik provides a valuable resource for accessing the latest research findings, methodologies, and applications. Its publications support advancements in areas such as automation in production systems, sensor technology, automation software, and system integration.

  • Editor-in-Chief:  Ulrich Jumar

  • Scope: The Automatisierungstechnik journal focuses on automation technology, covering a wide range of topics related to industrial automation, control systems, and engineering. Here is an overview of its scope and the topics covered:
  • Industrial Automation:
    Research on automation systems for industrial processes, including automation technology, factory automation, process automation, discrete event control, and automation in manufacturing.
  • Control Systems and Robotics:
    Research on control theory, control engineering, robotics, autonomous systems, sensor networks, real-time systems, and applications in industrial automation and manufacturing.
  • Embedded Systems:
    Research on embedded systems design, development, and applications, including real-time operating systems, microcontroller programming, hardware/software co-design, and applications in control and automation.
  • Cyber-Physical Systems (CPS):
    Research on cyber-physical systems integration, CPS design methodologies, communication protocols, synchronization, and applications in smart manufacturing, smart grids, and healthcare.
  • Process Control and Optimization:
    Research on process control systems, optimization techniques, model predictive control (MPC), adaptive control, supervisory control and data acquisition (SCADA), and applications in chemical, petrochemical, and process industries.
  • Human-Machine Interaction:
    Research on human factors in automation, human-machine interfaces (HMI), usability engineering, operator training systems, augmented reality (AR) in manufacturing, and human-centered automation design.
  • Simulation and Modeling:
    Research on simulation tools and techniques for automation systems, discrete event simulation, agent-based modeling, virtual commissioning, and applications in system design and validation.
  • Industrial Informatics:
    Research on data analytics, big data in industrial automation, cloud computing for automation, industrial internet of things (IIoT), and cybersecurity in industrial control systems.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  01782312

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2024:  0.7

  • Subject Area and Category:   Computer Science, Computer Science Applications, Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

  • Publication Frequency:  

  • H Index:  32

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computer Science Applications

    Q4:  

  • Cite Score:  2.1

  • SNIP:  0.570

  • Journal Rank(SJR):  0.309