Journal of Information and Communication Technology-Malaysia

Scope & Guideline

Enhancing Accessibility to Pioneering Research

Introduction

Delve into the academic richness of Journal of Information and Communication Technology-Malaysia with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1675-414x
PublisherUNIV UTARA MALAYSIA PRESS
Support Open AccessYes
CountryMalaysia
TypeJournal
Convergefrom 2011 to 2024
AbbreviationJ INF COMMUN TECHNOL / J. Inf. Commun. Technol.-Malays.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressUNIV UTARA MALAYSIA PRESS, SINTOK, KEDAH 06010, MALAYSIA

Aims and Scopes

The Journal of Information and Communication Technology-Malaysia focuses on advancing knowledge and research in the fields of information technology and communication. The journal aims to disseminate innovative methodologies, applications, and theoretical frameworks that enhance understanding and implementation of ICT in various domains.
  1. Information Technology Applications:
    The journal covers a wide range of applications of information technology, including but not limited to machine learning, data mining, and artificial intelligence in real-world scenarios.
  2. Communication Technologies:
    Research related to communication technologies, including network design, optimization, and security, is a core focus, highlighting advancements that improve connectivity and data transmission.
  3. Healthcare Informatics:
    The journal emphasizes the role of ICT in healthcare, showcasing studies that leverage technology for improved patient care, medical data analysis, and health monitoring systems.
  4. User Experience and Accessibility:
    There is a notable focus on user-centered design and accessibility, particularly in mobile applications, ensuring that technology is usable by diverse populations including those with disabilities.
  5. Data Analysis and Prediction Models:
    The journal features research on predictive modeling and data analysis techniques, which are increasingly vital in various sectors such as finance, environmental science, and social media.
The Journal of Information and Communication Technology-Malaysia has identified several emerging themes that reflect the evolving landscape of technology and its applications. These trends indicate areas of growing interest and research activity.
  1. Artificial Intelligence and Machine Learning:
    A significant trend in the journal is the increasing number of papers focused on artificial intelligence and machine learning methodologies, particularly in predictive analytics and classification tasks.
  2. IoT and Smart Technologies:
    Research related to the Internet of Things (IoT) is on the rise, especially studies that explore IoT applications in various sectors such as healthcare, finance, and smart cities.
  3. Health Informatics and Telemedicine:
    There is a growing emphasis on health informatics, including telemedicine solutions and digital health applications, which have gained importance in light of recent global health challenges.
  4. Data Privacy and Cybersecurity:
    With the rising concerns over data security, research focusing on cybersecurity measures and data privacy in ICT systems is increasingly prevalent, reflecting the need for robust security solutions.
  5. Social Media and Sentiment Analysis:
    The analysis of social media data and sentiment analysis is emerging as a popular theme, driven by the need to understand public opinion and user behavior in digital spaces.

Declining or Waning

While the journal has consistently explored various themes, certain research areas have shown a decline in publication frequency or relevance over time. This section highlights those waning themes.
  1. Traditional Statistical Methods:
    There has been a noticeable decrease in the emphasis on traditional statistical methods for data analysis, as the journal increasingly favors advanced machine learning and artificial intelligence techniques.
  2. Generalized ICT Studies:
    Broad discussions on generic ICT topics without specific applications or methodologies are becoming less prevalent, as the journal shifts towards more specialized and applied research areas.
  3. Basic Hardware and Networking Concepts:
    Research focused on fundamental hardware designs and basic networking concepts is appearing less frequently, indicating a shift towards more complex and integrated solutions.

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