Focus

Journal of Informatics is an international, peer-reviewed, open-access scholarly journal dedicated to advancing high-quality research in informatics, computer science, information systems, computational intelligence, and emerging digital technologies.

The journal provides a scholarly platform for researchers, academics, professionals, and practitioners to communicate original research that advances computational knowledge, develops rigorous methods, introduces reproducible technological solutions, or provides substantive empirical evidence for contemporary computing problems.

Joofin prioritizes research that demonstrates a clearly formulated scientific problem, rigorous methodology, transparent experimental design, appropriate validation, meaningful comparison with relevant state-of-the-art approaches, and a well-supported contribution to the international body of knowledge. The journal particularly encourages studies that move beyond routine implementation of existing technologies. Manuscripts should demonstrate why the investigated problem is scientifically important, identify limitations in existing knowledge or methods, and establish how the proposed research contributes new theoretical, methodological, computational, empirical, or practical insight.

Aims

Journal of Informatics aims to:

  • advance theoretical and applied knowledge in informatics and computer science;
  • disseminate original computational methods, models, algorithms, architectures, frameworks, systems, and empirical findings;
  • promote rigorous, reproducible, transparent, and ethically responsible computational research;
  • encourage research addressing significant and internationally relevant computing problems;
  • connect theoretical advances with experimentally validated applications;
  • facilitate interdisciplinary research in which computing provides a substantive methodological or technological contribution;
  • promote comparative and evidence-based evaluation against appropriate baselines and state-of-the-art methods;
  • support open science through transparent reporting of methods, data, software, experimental configurations, and evaluation procedures whenever legally and ethically possible; and
  • provide an international forum for scholarly communication among researchers, educators, professionals, industry practitioners, and technology innovators.

Scientific Scope

Journal of Informatics publishes original contributions across major and emerging areas of computing, including, but not limited to:

Artificial Intelligence and Computational Intelligence

  • artificial intelligence; machine learning; deep learning; representation learning; reinforcement learning; explainable AI; trustworthy AI; responsible AI; generative AI; evolutionary computation; swarm intelligence; fuzzy systems; knowledge representation and reasoning; intelligent agents; hybrid intelligent systems; computational intelligence; and AI-enabled decision systems.

Data Science and Knowledge Discovery

  • data mining; big data analytics; predictive analytics; pattern recognition; statistical learning; knowledge discovery; data engineering; data integration; data quality; graph analytics; anomaly detection; streaming data analytics; incremental and online learning; multimodal data analytics; and scientific data analysis.

Natural Language Processing

  • natural language processing; computational linguistics; text mining; information extraction; information retrieval; sentiment analysis; text classification; question answering; language modelling; low-resource language processing; multilingual computing; speech and language technologies; and large language model evaluation and applications.

Computer Vision and Multimedia Computing

  • computer vision; image processing; image and video analysis; object detection; image segmentation; pattern recognition; biometrics; medical image computing; multimedia information retrieval; vision-language systems; and intelligent visual analytics.

Algorithms and Computational Methods

  • algorithm design and analysis; computational optimization; approximation algorithms; metaheuristic algorithms; combinatorial optimization; numerical computing; parallel algorithms; distributed algorithms; computational modelling; simulation; high-performance computing; and emerging computational paradigms.

Cybersecurity and Privacy

  • network security; information security; cybersecurity analytics; intrusion detection; malware detection; phishing detection; digital forensics; cryptography; authentication; access control; privacy-preserving computing; adversarial machine learning; AI security; Internet of Things security; cloud security; and cyber threat intelligence.

Networks, Internet of Things, and Distributed Computing

  • computer networks; wireless networks; mobile computing; Internet of Things; Industrial Internet of Things; sensor networks; edge computing; fog computing; cloud computing; distributed systems; software-defined networking; network intelligence; network optimization; next-generation communication systems; and intelligent connected environments.

Software Engineering and Programming Technologies

  • software engineering; software architecture; software testing; software quality; software reliability; requirements engineering; software maintenance and evolution; DevOps; empirical software engineering; program analysis; programming languages; software security; automated software engineering; and AI-assisted software engineering.

Information Systems and Digital Technologies

  • information systems; enterprise information systems; decision support systems; business intelligence; digital transformation; information systems architecture; human-computer interaction; user experience; digital platforms; e-government; e-learning; financial technologies; health informatics; educational technologies; and intelligent organizational systems.

Emerging Computing Technologies

The journal also welcomes rigorous research concerning emerging computing paradigms, including quantum computing, blockchain and distributed ledger technologies, digital twins, autonomous systems, cyber-physical systems, robotics, smart environments, metaverse technologies, extended reality, edge intelligence, federated learning, privacy-enhancing technologies, and other emerging areas in which computation represents the central scientific contribution.

Research Contribution Expectations

Publication in Journal of Informatics requires more than the application of an established algorithm to a new dataset or geographical location. Original research manuscripts are expected to demonstrate one or more substantive contributions, such as:

  • a novel algorithm, method, model, framework, architecture, or computational technique;
  • a theoretically or empirically justified improvement to an existing method;
  • new scientific insight obtained through rigorous computational experimentation;
  • a comprehensive comparative evaluation revealing previously unknown findings;
  • a new dataset, benchmark, software resource, or experimental framework with demonstrated research value;
  • reproducible evidence that challenges, extends, or refines existing knowledge;
  • a technically significant solution to an internationally relevant computing problem; or
  • an interdisciplinary contribution in which computing constitutes a substantial scientific component.

Merely implementing standard methods, reproducing established workflows without additional scientific insight, or reporting localized system development without generalizable findings is normally insufficient.

Methodological and Experimental Rigor

Joofin expects conclusions to be supported by appropriate evidence. Depending on the nature of the research, manuscripts should provide sufficiently detailed descriptions of datasets, preprocessing procedures, experimental environments, parameter settings, algorithms, baselines, evaluation metrics, validation strategies, statistical analyses, hardware and software configurations, and other information necessary to understand and evaluate the research.

Reproducibility and Open Science

Journal of Informatics supports transparent and reproducible research. Authors are encouraged to make supporting research materials publicly available through recognized repositories. These materials may include: datasets; source code; trained models; algorithms and pseudocode; experimental configurations; parameter settings; supplementary results; questionnaires or research instruments; statistical analysis scripts; and documentation required to reproduce major findings.

Article Types

  • Original Research Articles: Full research papers presenting original theoretical, methodological, computational, experimental, or empirical contributions.
  • Review Articles: Critical and methodologically rigorous syntheses of established or emerging areas of computing research.
  • Systematic Literature Reviews: Structured evidence syntheses based on explicit search, selection, appraisal, and synthesis procedures.
  • Survey Articles: Comprehensive technical surveys that organize a research domain, critically evaluate existing approaches, identify unresolved challenges, and establish meaningful future research directions.