About the Journal

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Updated Journal Summary — AJAAI

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Journal Summary

What is AJAAI?

The American Journal of Analytics and Artificial Intelligence (AJAAI) is a peer-reviewed, open-access international journal dedicated to advancing high-impact scholarship in analytics, artificial intelligence, data science, machine learning, and computational intelligence. The journal serves as a rigorous scholarly platform for researchers, practitioners, academicians, and innovators to disseminate original theories, methodologies, experimental findings, and technological developments that address real-world challenges.

AJAAI is committed to global knowledge equity through unrestricted open access, ensuring that cutting-edge research is freely available to the international scientific community via the official portal at https://ajaai.com/index.php/ajaai/.


Indexing & Journal Metrics

AJAAI is actively pursuing indexing in major international bibliographic databases to maximize the visibility, discoverability, and citation impact of all published research. Authors are encouraged to visit the journal website for the most current indexing status, CiteScore, SCImago Journal Rank (SJR), and Source Normalized Impact per Paper (SNIP) metrics.

Note: Scopus-indexed journals prominently display metrics such as CiteScore, SJR, SNIP, and Quartile (Q1–Q4). Once indexed, this section should reflect live metrics such as:

  • CiteScore: [e.g., 4.2]
  • SJR: [e.g., 0.75]
  • SNIP: [e.g., 1.10]
  • Scopus Quartile: [e.g., Q2 — Computer Science]
  • Scopus Source ID: [ID]

Open Access & Publication Model

AJAAI follows a fully open-access publishing model, ensuring all articles are immediately and permanently accessible upon publication. This model aligns with international open science principles and maximizes research impact through:

  • Global visibility and discoverability across international research communities
  • Higher citation potential through unrestricted access
  • Rapid dissemination of innovations in analytics and AI research
  • Equitable knowledge sharing across academia, industry, and society

Article Processing Charges (APCs) are levied only upon manuscript acceptance, with no upfront submission fees. Detailed APC information and any available fee waivers are published transparently on the journal website.


Aims & Scope

AJAAI publishes original research articles, systematic review papers, technical reports, case studies, and short communications spanning the full spectrum of analytical and AI-focused disciplines. The journal particularly welcomes interdisciplinary work that combines analytics, AI, computing, engineering, and applied sciences.

Primary subject areas include:

Analytics & Data Science Predictive and prescriptive analytics; statistical and quantitative modeling; business analytics and decision intelligence; big data engineering; data mining and pattern discovery.

Machine Learning & Deep Learning Neural networks and deep learning architectures; reinforcement learning; ensemble and transfer learning; meta-learning; explainable and interpretable AI (XAI).

Artificial Intelligence Intelligent systems and automation; knowledge representation and reasoning; expert systems; human–AI collaboration; algorithmic decision-making.

Natural Language & Speech Technologies Natural language processing (NLP); text mining and classification; conversational AI and chatbots; speech recognition and synthesis.

Computer Vision & Image Analytics Image classification and segmentation; object detection; video analytics; medical image intelligence; vision-based automation systems.

Advanced Computational Methods High-performance and cloud computing; distributed systems; computational simulation and optimization; mathematical and statistical computing.

Applications of Analytics & AI Healthcare informatics; financial and economic modeling; industrial automation; smart cities and IoT; environmental and agricultural analytics; educational technology and learning analytics.


Peer Review & Editorial Standards

AJAAI employs a rigorous double-blind peer review process in accordance with internationally recognized ethical publishing standards, including the Committee on Publication Ethics (COPE) guidelines.

Review Workflow:

  1. Initial Screening — Manuscripts are assessed for scope alignment, structural completeness, and originality.
  2. Double-Blind Peer Review — Independent subject-matter experts evaluate scientific merit, methodological rigor, and contribution to the field without disclosure of author or reviewer identities.
  3. Editorial Decision — Acceptance is contingent upon demonstrated scientific accuracy, analytical validity, and meaningful scholarly contribution.

AJAAI strictly prohibits plagiarism, data fabrication or falsification, duplicate submission, undisclosed conflicts of interest, and any misrepresentation of authorship roles. All manuscripts are screened using industry-standard plagiarism detection tools.


Publication Ethics

AJAAI adheres to the ethical publishing standards of the Committee on Publication Ethics (COPE) and aligns with the ICMJE and COPE Core Practices. All submissions must represent original, unpublished work not currently under review elsewhere. Authors, reviewers, and editors are expected to observe the highest levels of integrity throughout the publication process.


Retraction & Correction Policy

To safeguard the integrity of the scientific record, AJAAI issues:

  • Corrections — For minor factual errors that do not affect core findings or conclusions.
  • Expressions of Concern — When substantive questions arise and a formal investigation is underway.
  • Retractions — In cases of proven research misconduct, ethical violations, unreliable results, plagiarism, or duplicate publication.

All retraction notices are permanently archived and publicly accessible in accordance with COPE retraction guidelines.


Digital Preservation & Archiving

AJAAI ensures the long-term preservation and accessibility of all published content through secure digital archiving infrastructure, including redundant backup systems and permanent digital repositories. These mechanisms guarantee uninterrupted access for present and future researchers.


Privacy & Data Handling

Personal data collected through the manuscript submission system is processed solely for editorial and publication correspondence. All data is securely stored, accessible only to authorized journal personnel, and is not disclosed to third parties without explicit consent. Authors may request access to, amendment of, or deletion of their personal data at any time in accordance with applicable data protection regulations.


Submission & Contact Information

Editorial Office:

Current Issue

Vol. 4 No. 02 (2026): April-June 2026
View All Issues