Original Research Article
A complete original study with methods, evidence, limitations, and discipline-appropriate conclusions.
Specialty journal
Perspectives in Artificial Intelligence and Computing
Computer Science and AI
Rigorous theoretical, empirical, systems, and applied contributions in computing and artificial intelligence.
Journal Overview
This is a scholarly computing journal, not a product-news venue. Applied work must include a substantive computational contribution and evaluation suited to its claims.
Intended readership: AI, computing, software, data, and systems researchers and domain researchers making computational contributions.
Aims & Scope
The journal advances computational theory, methods, systems, and evidence across AI, machine learning, generative AI, NLP, computer vision, reinforcement learning, knowledge representation, agents, and computational robotics.
Its wider scope includes algorithms, data mining, software and distributed systems, cloud and edge computing, databases, cybersecurity, HCI, and computational science. Trustworthy AI, evaluation, safety, explainability, robustness, and responsible AI are welcome when rigorously analysed.
Applied AI should move beyond deploying an existing model by adding methodological, algorithmic, systems, evaluation, dataset, or generalizable empirical insight.
Subject Coverage
Use these areas to judge whether the manuscript’s central contribution belongs in this journal.
- AI and machine learning
- Generative and multimodal AI
- Natural language processing
- Computer vision
- Reinforcement learning and agents
- Knowledge representation and reasoning
- Algorithms and data mining
- Software and distributed systems
- Cloud, edge, and databases
- Cybersecurity and HCI
- Computational science and robotics
- Trustworthy AI, evaluation, safety, and explainability
Methods & Approaches
Methods should suit the research question. These common approaches are illustrative, not artificial requirements.
- Algorithm design and analysis
- Empirical evaluation
- Benchmarking and ablation
- Systems measurement
- Formal analysis
- Simulation
- Human-centred evaluation
Interdisciplinary interfaces
- AI with natural sciences
- Computing with engineering
- Data science across domains
- Human and societal aspects of systems
Scope Boundaries
Editors assess each manuscript as a whole. The following are generally outside scope unless a clear substantive contribution is established:
- Product announcements, market commentary, or technology news
- Off-the-shelf model use without computational insight
- Claims without suitable baselines, evaluation, or reproducibility
Article Types
Availability is confirmed during submission and may vary. No universal length or item limits are implied.
Review Article
A critical, structured synthesis that advances understanding of a defined topic.
Short Communication / Brief Report
A focused original contribution whose significance can be established concisely.
Methods / Methodology Article
A validated method, workflow, instrument, computational approach, or analytical advance.
Perspective / Commentary
Evidence-informed analysis of a significant development or direction; unsupported opinion is unsuitable.
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Current Issue
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All Issues / Archive
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Past volumes and issues will appear here as the archive grows.
Editorial Information
Editorial information will be displayed as appointments are formally confirmed. Editors act independently on scope, peer review, integrity, and decisions; APC payment is separate from scholarly evaluation.
Journal Policies
This journal follows ANVA Journals’ single-blind peer-review, Gold Open Access, ethics, and scholarly-record policies unless an explicit journal-specific requirement is displayed.