Applied Computing and Informatics

Scope & Guideline

Exploring the Frontiers of Computer Science Applications

Introduction

Immerse yourself in the scholarly insights of Applied Computing and Informatics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2634-1964
PublisherEMERALD GROUP PUBLISHING LTD
Support Open AccessYes
CountrySaudi Arabia
TypeJournal
Converge2011, from 2014 to 2024
AbbreviationAPPL COMPUT INFORM / Appl. Comput. Inform.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressFloor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND

Aims and Scopes

The journal 'Applied Computing and Informatics' primarily focuses on the application of computational techniques and informatics across various domains. It aims to bridge theory with practical implementations, facilitating advancements in technology and data analysis. The journal serves as a platform for interdisciplinary research that emphasizes innovative methodologies and their impacts on real-world problems.
  1. Machine Learning and Artificial Intelligence:
    This area encompasses the development and application of machine learning algorithms and AI techniques for various tasks such as diagnosis in healthcare, predictive modeling, and data classification.
  2. Data Analytics and Predictive Modeling:
    The journal explores methodologies for data analysis, including statistical methods and machine learning, to derive insights and predictions from large datasets across different fields.
  3. Image and Signal Processing:
    Research in this scope focuses on techniques for processing and analyzing images and signals, including medical imaging, environmental monitoring, and multimedia applications.
  4. Optimization and Algorithm Development:
    The journal covers advancements in optimization techniques and algorithm development, particularly in fields such as logistics, robotics, and resource management.
  5. Cloud Computing and IoT:
    This area addresses the integration of cloud computing with Internet of Things (IoT) applications, focusing on architecture, security, and privacy challenges.
  6. Human-Computer Interaction and User Experience:
    Research in this domain aims to improve user experience through interactive systems, particularly in educational and public service applications.
Recent publications in 'Applied Computing and Informatics' highlight several emerging themes that reflect the evolving landscape of technology and its applications. These trends indicate a growing interest in integrating advanced computational techniques with practical applications.
  1. Deep Learning Applications:
    There is a significant increase in research focused on deep learning applications, particularly in fields such as medical diagnostics, image classification, and natural language processing.
  2. Sustainability and Energy Efficiency:
    Emerging themes include the application of computing solutions for sustainability, particularly in energy-efficient systems and smart resource management.
  3. Healthcare Informatics:
    The journal is increasingly addressing healthcare-related topics, emphasizing the use of computing technologies for disease diagnosis, patient monitoring, and healthcare analytics.
  4. Smart Systems and Automation:
    Research in smart systems, including robotics and automation technologies, is gaining prominence, reflecting the growing interest in intelligent systems that enhance operational efficiency.
  5. Interdisciplinary Applications:
    There is a trend towards interdisciplinary research that combines insights from various fields, such as agriculture, education, and social sciences, with computing methodologies to address complex problems.

Declining or Waning

While 'Applied Computing and Informatics' has consistently addressed a wide array of topics, certain themes appear to be losing traction in recent publications. This decline may indicate a shift in focus towards more contemporary issues or methodologies in the field.
  1. Traditional Statistical Methods:
    There has been a noticeable decrease in the focus on conventional statistical methods, as newer machine learning techniques gain popularity for data analysis and modeling.
  2. Basic Algorithmic Techniques:
    The journal has seen fewer publications centered on traditional algorithmic techniques, as researchers increasingly lean towards advanced, hybrid, or AI-based approaches.
  3. Low-level Programming and System Design:
    Research related to low-level programming and classic system design is becoming less frequent, possibly as the field moves towards higher abstraction levels and more user-friendly applications.

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