Baltic Journal of Modern Computing

Scope & Guideline

Advancing the frontiers of computer science.

Introduction

Immerse yourself in the scholarly insights of Baltic Journal of Modern Computing 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
ISSN2255-8942
PublisherUNIV LATVIA
Support Open AccessYes
CountryLatvia
TypeJournal
Convergefrom 2019 to 2024
AbbreviationBALT J MOD COMPUT / Balt. J. Mod. Comput.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRAINA BULVARIS 19, RIGA LV-1586, LATVIA

Aims and Scopes

The Baltic Journal of Modern Computing focuses on the intersection of modern computing technologies and their applications across various domains. The journal aims to publish high-quality research that contributes to the advancement of knowledge in computing, data analysis, artificial intelligence, and educational methodologies.
  1. Computational Methodologies:
    The journal emphasizes various computational methodologies, including algorithms, machine learning, and data processing techniques, to solve complex problems across different fields.
  2. Interdisciplinary Applications:
    Research published in the journal often combines computing with other disciplines such as education, healthcare, and social sciences, fostering a cross-disciplinary approach to problem-solving.
  3. Technological Innovations:
    The journal highlights innovative technologies and frameworks, including AI, big data, and IoT, showcasing their practical applications and theoretical advancements.
  4. Educational Strategies:
    A significant focus is placed on educational methodologies, particularly in the context of digital learning and teaching innovations like the flipped classroom model.
  5. Cybersecurity and Data Security:
    Research in cybersecurity, particularly related to socio-cyberphysical systems, is a key area, reflecting the journal's commitment to addressing contemporary security challenges.
Recent publications in the Baltic Journal of Modern Computing reveal several emerging themes that are gaining traction. These trends highlight the evolving landscape of research and the journal's responsiveness to contemporary issues in computing.
  1. AI and Machine Learning Applications:
    There is a strong trend towards the application of AI and machine learning techniques across various domains, including healthcare, education, and social sciences, indicating a growing interest in these technologies.
  2. Data-Driven Decision Making:
    Research focusing on big data analytics and its application in decision-making processes is increasingly prominent, reflecting the importance of data in modern society.
  3. Cybersecurity Innovations:
    Emerging themes in cybersecurity, particularly relating to socio-cyberphysical systems and the integration of AI in security protocols, highlight the journal's focus on addressing current security challenges.
  4. Educational Technology Innovations:
    The exploration of innovative educational methodologies, such as the flipped classroom and digital onboarding processes, signifies a rising interest in improving teaching and learning through technology.
  5. Human-Robot Interaction:
    Research on human-robot interaction is becoming more prevalent, showcasing advancements in robotics and their integration into everyday tasks and educational settings.

Declining or Waning

While the Baltic Journal of Modern Computing has a broad scope, certain themes have shown a decline in publication frequency over the recent years. These waning areas may reflect shifts in research focus or emerging priorities in the field.
  1. Traditional Software Development Practices:
    There has been a noticeable decrease in papers focusing on conventional software development methodologies, suggesting a shift towards more agile and innovative approaches in the industry.
  2. Basic Theoretical Computer Science:
    Research centered on fundamental theoretical aspects of computer science appears to be less prevalent, as applied research and practical applications gain prominence.
  3. Classic Data Structures and Algorithms:
    There is a decline in publications specifically addressing traditional data structures and algorithms, possibly indicating a move towards more complex and applied computational techniques.
  4. General E-Learning Frameworks:
    While educational technology remains a focus, general frameworks for e-learning have seen reduced attention, with more specific methodologies and case studies taking precedence.
  5. Non-Computational Approaches in Education:
    Research that does not directly involve computational methods or technologies in educational settings has become less common, reflecting a trend towards integrating technology into educational practices.

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