Egyptian Informatics Journal

Scope & Guideline

Advancing Knowledge in Informatics and Beyond

Introduction

Explore the comprehensive scope of Egyptian Informatics Journal 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 Egyptian Informatics Journal in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1110-8665
PublisherCAIRO UNIV, FAC COMPUTERS & INFORMATION
Support Open AccessYes
CountryNetherlands
TypeJournal
Convergefrom 2010 to 2024
AbbreviationEGYPT INFORM J / Egypt. Inform. J.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressAHMED ZEWAIL, AD DOQI, GIZA GOVERNORATE 00000, EGYPT

Aims and Scopes

The Egyptian Informatics Journal focuses on a diverse range of topics within the field of informatics, emphasizing the integration of advanced computational techniques and methodologies in addressing contemporary challenges in technology, security, and data management. The journal serves as a platform for innovative research that contributes to the development of intelligent systems and applications across various domains.
  1. Cybersecurity and Threat Detection:
    The journal extensively covers methodologies for detecting and mitigating cybersecurity threats, including DDoS attacks, malware detection, and intrusion detection systems, emphasizing the use of machine learning and AI-driven techniques.
  2. Machine Learning and Artificial Intelligence:
    A significant focus is placed on the application of machine learning algorithms across various domains, such as healthcare, IoT, and smart city technologies, showcasing advancements in predictive modeling, classification, and optimization.
  3. IoT and Edge Computing:
    Research related to the Internet of Things (IoT) and edge computing architectures is prevalent, addressing security, data management, and optimization strategies for connected devices.
  4. Data Analytics and Management:
    The journal explores data-driven approaches, including data fusion, clustering, and big data analytics, aimed at improving decision-making processes in various sectors.
  5. Blockchain Technology:
    Blockchain applications in areas such as security, data management, and healthcare are discussed, highlighting innovative solutions for enhancing trust and transparency in digital transactions.
  6. Healthcare Informatics:
    There is a notable emphasis on healthcare-related research, particularly in the application of informatics for disease detection, patient monitoring, and medical image processing.
  7. Smart Cities and Urban Computing:
    The journal addresses the challenges and solutions related to smart city technologies, focusing on traffic management, resource optimization, and sustainable urban development.
The Egyptian Informatics Journal is witnessing significant trends and emerging themes that reflect the current technological landscape and societal needs. These areas are gaining traction and are likely to shape future research directions.
  1. Federated Learning and Privacy-Preserving Techniques:
    There is a rising interest in federated learning and privacy-preserving methodologies, particularly in the context of IoT and healthcare applications, as researchers aim to enhance data security while maintaining collaborative learning.
  2. Advanced Machine Learning Applications:
    Recent publications highlight the application of advanced machine learning techniques, such as deep learning and reinforcement learning, across various domains, indicating a trend towards more sophisticated and capable AI systems.
  3. AI in Healthcare:
    The integration of AI technologies in healthcare, especially for disease prediction, diagnosis, and treatment optimization, is becoming increasingly prominent, driven by the demand for more efficient healthcare solutions.
  4. Cyber-Physical Systems and Smart Environments:
    Research on cyber-physical systems, particularly in smart environments and cities, is gaining momentum as these technologies become essential for urban planning and resource management.
  5. Real-Time Data Processing and Analytics:
    There is a growing emphasis on real-time data processing techniques, particularly for applications in IoT and smart devices, reflecting the need for immediate data-driven decision-making.
  6. Ethical AI and Responsible Computing:
    Emerging discussions around the ethical implications of AI and responsible computing practices are becoming more frequent, highlighting the need for accountability and transparency in AI technologies.

Declining or Waning

While the Egyptian Informatics Journal has a broad range of active research areas, some themes have shown a decline in prominence over recent years. These waning scopes reflect shifts in research focus and the evolving landscape of informatics.
  1. Traditional Data Encryption Techniques:
    Research on conventional encryption methods appears to be decreasing as newer, more advanced cryptographic techniques and frameworks are gaining traction, particularly those leveraging blockchain and AI.
  2. Basic Network Protocols and Architectures:
    There is a noticeable decline in publications focused solely on basic networking protocols, as the journal shifts towards more complex, integrated approaches that incorporate cloud computing and IoT.
  3. Static Analysis Tools for Software Security:
    The emphasis on static analysis tools is waning in favor of dynamic analysis and real-time security measures, reflecting the need for more adaptive and responsive security solutions.
  4. Theoretical Approaches to Informatics:
    Research that focuses primarily on theoretical models without practical applications is becoming less common, as there is a stronger demand for empirical studies and applications in real-world scenarios.

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