International Journal of Critical Infrastructures

Scope & Guideline

Connecting research and practice in critical infrastructure studies.

Introduction

Explore the comprehensive scope of International Journal of Critical Infrastructures through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore International Journal of Critical Infrastructures in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1475-3219
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2004 to 2024
AbbreviationINT J CRIT INFRASTRU / Int. J. Crit. Infrastruct.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Critical Infrastructures aims to provide a platform for cutting-edge research focused on critical infrastructure systems, their management, security, and optimization through innovative technologies and methodologies.
  1. Critical Infrastructure Security and Resilience:
    Research exploring methodologies and technologies to enhance the security and resilience of critical infrastructures, including energy, transport, and healthcare systems.
  2. Data-Driven Decision Making:
    Utilization of advanced data analytics, machine learning, and decision-making frameworks to optimize the performance and management of critical infrastructures.
  3. Emerging Technologies in Infrastructure:
    Investigation of the role of emerging technologies, such as IoT, AI, and cloud computing, in the development and enhancement of critical infrastructure systems.
  4. Sustainable Infrastructure Development:
    Focus on sustainable practices and technologies that contribute to the effective management and development of infrastructure, addressing environmental and societal impacts.
  5. Public-Private Partnerships (PPP) and Financing Models:
    Analysis of PPP frameworks and innovative financing models that support the development and maintenance of critical infrastructure projects.
  6. Risk Assessment and Management:
    Comprehensive studies on risk assessment methodologies and management strategies to mitigate vulnerabilities in critical infrastructure systems.
The International Journal of Critical Infrastructures has witnessed the emergence of several new research themes that reflect the evolving landscape of critical infrastructure management and technology. These trends indicate areas of increasing focus and relevance in current research.
  1. AI and Machine Learning Applications:
    There is a significant increase in research applying AI and machine learning techniques to optimize infrastructure performance, enhance security, and improve decision-making processes.
  2. IoT Integration in Infrastructure Systems:
    The integration of IoT technologies into critical infrastructure has gained momentum, with studies focusing on smart cities, health care systems, and energy management, showcasing the potential for improved efficiency and monitoring.
  3. Sustainable and Resilient Infrastructure Solutions:
    Emerging themes around sustainability and resilience in infrastructure development are becoming prominent, emphasizing the need for environmentally friendly practices and disaster preparedness.
  4. Cybersecurity in Critical Infrastructures:
    With the rise in cyber threats, there is an increasing focus on cybersecurity measures tailored for critical infrastructures, encompassing both theoretical frameworks and practical applications.
  5. Real-Time Monitoring and Predictive Analytics:
    Research in real-time monitoring systems that leverage big data and predictive analytics for infrastructure management is trending, highlighting the importance of data-driven approaches in enhancing operational efficiency.

Declining or Waning

While the journal continues to thrive in various areas, certain themes have shown a decline in their prominence. This section highlights these waning topics that may reflect shifting research interests or advancements in technology.
  1. Traditional Infrastructure Engineering Methods:
    There has been a noticeable decrease in publications focusing on conventional engineering practices without incorporating modern technological solutions or innovative methodologies.
  2. General Infrastructure Policy Analysis:
    Research centered on broad policy analysis related to infrastructure without specific technological or operational insights has become less frequent, possibly indicating a shift towards more technology-driven studies.
  3. Basic Risk Assessment Techniques:
    The frequency of papers employing traditional risk assessment techniques without integration of advanced data analytics or machine learning has diminished, as researchers move towards more sophisticated approaches.
  4. Static Infrastructure Models:
    There is a reduction in the exploration of static models for infrastructure management, with a growing preference for dynamic models that account for real-time data and changing conditions.

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