Computer Science and Information Systems

Scope & Guideline

Bridging Theory and Practice in Information Systems

Introduction

Delve into the academic richness of Computer Science and Information Systems 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
ISSN1820-0214
PublisherCOMSIS CONSORTIUM
Support Open AccessYes
CountrySerbia
TypeJournal
Convergefrom 2008 to 2024
AbbreviationCOMPUT SCI INF SYST / Comput. Sci. Inf. Syst.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressUNIV NOVI SAD, FAC TECH SCI, TRG DOSITEJA OBRADOVICA 6, NOVI SAD 21000, SERBIA

Aims and Scopes

The journal 'Computer Science and Information Systems' aims to provide a platform for sharing innovative research and advancements in the fields of computer science and information systems. Its scope encompasses a wide range of topics that reflect the evolving nature of technology and its applications in various domains.
  1. Interdisciplinary Research in Computer Science:
    The journal emphasizes research that integrates various disciplines within computer science, including artificial intelligence, machine learning, data science, and human-computer interaction.
  2. Innovative Applications of Technology:
    Papers often explore novel applications of emerging technologies such as blockchain, IoT, and cloud computing, showcasing how these tools can solve real-world problems.
  3. Focus on Security and Privacy:
    A significant portion of the research addresses critical issues pertaining to cybersecurity, data privacy, and secure computing practices, reflecting the growing importance of these topics in the digital age.
  4. Methodological Diversity:
    The journal publishes studies employing a variety of methodologies, from theoretical frameworks and algorithm development to empirical studies and case analyses.
  5. Sustainability and Ethical Considerations:
    Recent papers have begun to explore the intersection of technology with sustainability and ethical implications, highlighting the importance of responsible innovation.
The journal has seen an increase in focus on several emerging themes in recent publications, indicating shifts in research priorities and technological advancements.
  1. Artificial Intelligence and Machine Learning:
    There is a marked increase in research utilizing AI and machine learning techniques across various applications, from healthcare to finance, reflecting the growing importance of these technologies.
  2. Blockchain Technology and Applications:
    Research exploring blockchain technology, particularly its applications in security, data management, and decentralized systems, has surged, highlighting its transformative potential.
  3. Internet of Things (IoT) Innovations:
    The journal has seen a rise in articles focusing on IoT technologies, particularly in smart city applications and industrial automation, underscoring the relevance of connected devices.
  4. Sustainability in Technology:
    Emerging research themes emphasize the integration of sustainability in technology development, with studies focusing on energy-efficient computing and sustainable IT practices.
  5. Human-Computer Interaction and User Experience:
    There is a growing trend towards research that investigates user experience and interaction design, particularly in the context of AI and automated systems.

Declining or Waning

While the journal continues to evolve, certain themes have seen a decline in prominence over the recent years. This section outlines these waning topics, reflecting a shift in research focus.
  1. Traditional Software Development Methodologies:
    Research centered on conventional software development practices has decreased, as the field increasingly favors agile and iterative methodologies.
  2. Basic Algorithmic Studies:
    Papers that focus solely on fundamental algorithm design without application or innovation are becoming less common, as the journal shifts towards more applied and interdisciplinary studies.
  3. Static Data Analysis:
    There is a noticeable decline in studies that emphasize static analysis of data, with a growing preference for dynamic, real-time data processing and analysis techniques.
  4. Generalized IT Infrastructure Management:
    Research that broadly discusses IT infrastructure management without specific applications or innovations is waning, as the focus shifts towards specialized applications in cloud computing and IoT.
  5. Conventional Database Management Systems:
    Topics solely dedicated to traditional database management systems are becoming less frequent, as the research community moves towards more advanced data storage solutions like NoSQL and distributed databases.

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