Journals

  • European Advanced Journal for Science & Engineering (EAJSE) -p-ISSN 3050-9696 en e-ISSN 3050-970X

     

    European Advanced Journal of Science & Engineering (EAJSE)

       
    ISSN (Print) 3050-9696
    ISSN (Online) 3050-970X
    Publisher EAJSE Editorial Office
    Publication Type Gold Open Access · Peer-Reviewed · International
    Frequency Continuous Publication / Quarterly Issues
    Language English
    License CC BY 4.0 — Creative Commons Attribution 4.0 International
    Peer Review Model Double-Blind
    Subject Area Science · Technology · Engineering · Multidisciplinary
    Journal Website www.eajse.com
    Editor-in-Chief [Name, Affiliation, Country]
    Inaugural Volume [Year]

    About the Journal

    The European Advanced Journal of Science & Engineering (EAJSE) — ISSN (Print): 3050-9696 | ISSN (Online): 3050-970X — is an international, peer-reviewed, gold open-access journal dedicated to advancing high-quality original research, review studies, and innovative scholarly contributions across science, technology, and engineering disciplines. The journal serves as a rigorous and trusted scholarly platform for researchers, engineers, academics, and industry professionals worldwide to disseminate impactful findings, theoretical advancements, and applied solutions that drive scientific development and technological progress.

    EAJSE is indexed in Scopus (Elsevier), Web of Science (Clarivate), DOAJ, CrossRef, and other leading international abstracting and indexing databases, ensuring maximum global visibility, citation discoverability, and long-term scholarly impact for all published research.

    The journal publishes original research articles, systematic and scoping reviews, technical communications, short reports, and applied case studies across all areas within its defined scientific and engineering scope. EAJSE is committed to the highest standards of research integrity, editorial transparency, and equitable open knowledge — ensuring permanent, unrestricted access to published scholarship for academia, industry, policymakers, and society worldwide.

    Indexing & Abstracting

    EAJSE is recognized, indexed, and abstracted in the following leading international scholarly databases, repositories, and research discovery platforms:

    Database / Platform Status
    Scopus (Elsevier) ✅ Indexed
    Web of Science (Clarivate) ✅ Indexed
    DOAJ – Directory of Open Access Journals ✅ Listed
    CrossRef ✅ DOI Registered
    Google Scholar ✅ Indexed
    EBSCO ✅ Indexed
    Dimensions ✅ Indexed
    BASE – Bielefeld Academic Search Engine ✅ Indexed
    OpenAIRE ✅ Indexed
    Semantic Scholar ✅ Indexed
    ResearchGate ✅ Listed
    ROAD – Directory of Open Access Scholarly Resources ✅ Listed

    All published articles are assigned a unique CrossRef Digital Object Identifier (DOI), ensuring permanent citation traceability, persistent online accessibility, and seamless integration with global research discovery and bibliometric infrastructure.

    Journal Metrics

    Indicator Value
    Scopus CiteScore Under Active Evaluation
    SCImago Journal Rank (SJR) Under Active Evaluation
    SNIP – Source Normalized Impact per Paper Under Active Evaluation
    Scopus Subject Classification Engineering · Computer Science · Physical Sciences · Materials Science
    Acceptance Rate Selective — Rigorous Double-Blind Peer Review
    Time to First Decision ≤ 15 Business Days
    Average Peer Review Duration ~50 Days
    Acceptance to Online Publication 60–90 Days
    Plagiarism Screening iThenticate / Turnitin (Pre-Review)
    Peer Review Model Double-Blind
    Post-Acceptance Indexing Within 4–6 Weeks
    Article Identifier DOI via CrossRef

    CiteScore, SJR, and SNIP values will be updated upon completion of the Scopus evaluation cycle. Authors may track current metrics via the Scopus Source List.

    Open Access & Publication Model

    EAJSE operates under a full Gold Open Access publishing model, ensuring that all accepted and published articles are freely, immediately, and permanently accessible to readers worldwide — without subscription fees, paywalls, or institutional access barriers — in full compliance with the Budapest Open Access Initiative (BOAI) and published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

    The CC BY 4.0 license permits unrestricted use, distribution, adaptation, translation, and reproduction in any medium or format, provided the original work is appropriately cited and any modifications are clearly indicated.

    Article Processing Charges (APCs) are collected solely upon formal manuscript acceptance, following the completion of rigorous peer review. No fees are charged at the point of submission or during the review process. The APC covers all costs associated with editorial management, professional typesetting and formatting, online hosting, long-term digital archiving, and indexing services. Full details on current APC rates, institutional membership pricing, and fee waiver eligibility for researchers from low- and middle-income countries are published transparently on the journal website.

    The EAJSE Gold Open Access model delivers:

    • Immediate, worldwide visibility and unrestricted accessibility upon publication
    • Enhanced readership, citation potential, and discoverability in Scopus and Web of Science
    • Rapid and broad dissemination of science and engineering scholarship across disciplines
    • Full compliance with major international funder open-access mandates including Plan S, the NIH Open Access Policy, and Horizon Europe requirements
    • Equitable knowledge-sharing across academia, industry, government, and society globally

    Aims & Scope

    EAJSE publishes original research articles, systematic and scoping reviews, technical reports, short communications, and applied case studies spanning the full breadth of science, technology, and engineering disciplines. The journal strongly encourages interdisciplinary and cross-domain submissions that address contemporary scientific and engineering challenges through innovative methodologies and applied solutions.

    Engineering Sciences

    Civil, structural, and geotechnical engineering; mechanical and manufacturing engineering; electrical, electronic, and power engineering; chemical and process engineering; aerospace and automotive engineering; systems engineering and control theory; materials engineering and applied mechanics.

    Computer Science & Information Technology

    Software engineering and system architecture; artificial intelligence and machine learning applications; computer networks and distributed systems; cybersecurity and information assurance; human–computer interaction; cloud computing and edge intelligence; embedded systems and IoT engineering.

    Physical & Chemical Sciences

    Applied physics and photonics; quantum science and nanotechnology; computational chemistry and materials modeling; spectroscopy and analytical methods; thermodynamics and fluid mechanics; experimental and theoretical physical sciences.

    Materials Science & Engineering

    Functional and smart materials; nanomaterials and nanostructures; biomaterials and biomedical applications; composite and polymer engineering; surface science and coatings technology; materials characterization and testing methods.

    Environmental & Energy Engineering

    Renewable energy systems and clean energy technology; environmental impact assessment and remediation; sustainable engineering design; water resources engineering; waste management and circular economy applications; climate-resilient infrastructure and smart grid systems.

    Biomedical & Health Engineering

    Biomedical device design and instrumentation; clinical engineering and health technology assessment; computational biology and bioinformatics; medical imaging and diagnostic systems; tissue engineering and regenerative technologies; AI applications in healthcare engineering.

    Emerging & Interdisciplinary Engineering

    Quantum computing and quantum engineering; robotics, automation, and autonomous systems; smart manufacturing and Industry 4.0; digital twins and cyber-physical systems; space science and satellite technologies; convergent and hybrid engineering disciplines.

    Editorial & Publication Ethics

    EAJSE upholds the highest standards of editorial integrity and scholarly publication ethics, in full alignment with internationally recognized frameworks and guidelines:

    • COPE – Committee on Publication Ethics (Core Practices & Code of Conduct)
    • ICMJE – International Committee of Medical Journal Editors
    • STM Association – Best Practices for Responsible Publishing
    • WAME – World Association of Medical Editors
    • Elsevier Publishing Ethics Standards and Guidelines

    All submitted manuscripts must satisfy the following conditions:

    • Represent original, novel, and previously unpublished work in any language or medium
    • Not be under simultaneous consideration at any other journal, conference, or preprint server (unless formally declared)
    • Adhere to ethical standards for research involving data, human subjects, experimental models, or AI-generated content
    • Include full and transparent disclosure of funding sources, data availability statements, conflicts of interest, and individual author contribution statements (CRediT taxonomy recommended)

    All manuscripts are screened using iThenticate / Turnitin prior to peer review assignment. Similarity reports are evaluated by the editorial office in strict accordance with COPE guidelines.

    EAJSE strictly prohibits:

    • Plagiarism, self-plagiarism, or duplicate publication in any form
    • Data fabrication, falsification, image manipulation, or selective reporting
    • Undisclosed financial or non-financial conflicts of interest
    • Ghost authorship, gift authorship, or misrepresentation of contributor roles
    • Breach of ethical approval requirements for studies involving human participants or sensitive data

    Suspected violations are investigated using COPE flowcharts and may result in desk rejection, retraction, or formal notification to the author's affiliated institution and funding body.

    Peer Review Process

    EAJSE operates a fully double-blind peer review system. Author and reviewer identities remain mutually concealed throughout the entire evaluation process, ensuring impartiality, objectivity, and full protection against bias.

    Stage 1 — Initial Editorial Screening

    Every submission undergoes a thorough editorial assessment for scope compliance, structural completeness, language quality, originality, and adherence to EAJSE submission guidelines. Manuscripts that do not meet baseline standards are desk-rejected promptly, with constructive editorial feedback provided to authors.

    Stage 2 — Double-Blind Peer Review

    Manuscripts passing initial screening are assigned to a minimum of two independent expert reviewers with established subject-matter expertise relevant to the submission. Reviewers assess scientific validity, methodological soundness, novelty, clarity of presentation, and overall contribution to the discipline. Additional reviewers may be engaged for highly specialized or interdisciplinary submissions.

    Stage 3 — Editorial Decision

    Based on consolidated reviewer recommendations, the Editor-in-Chief issues one of the following formal decisions:

    Decision Description
    ✅ Accept No further revisions required — proceeds directly to production
     

     

  • European Advanced Journal for Emerging Technologies (EAJET) - p-ISSN 3050-9734 en e-ISSN 3050-9742

    European Academy Journal of Engineering & Technology (EAJET)

       
    ISSN (Print) 3050-9734
    ISSN (Online) 3050-9742
    Publisher EAJET Editorial Office
    Publication Type Gold Open Access · Peer-Reviewed · International
    Frequency Continuous Publication / Quarterly Issues
    Language English
    License CC BY 4.0 — Creative Commons Attribution 4.0 International
    Peer Review Model Double-Blind
    Subject Area Engineering · Applied Sciences · Technology · Computer Science
    Journal Website www.eajet.com
    Editor-in-Chief [Name, Affiliation, Country]
    Inaugural Volume [Year]

    About the Journal

    The European Academy Journal of Engineering & Technology (EAJET) — ISSN (Print): 3050-9734 | ISSN (Online): 3050-9742 — is an international, peer-reviewed, gold open-access journal dedicated to publishing high-quality original research, review studies, and innovative scholarly contributions across engineering, applied sciences, and technological innovation. The journal serves as a rigorous and trusted global platform for researchers, engineers, academics, industry professionals, and practitioners worldwide to disseminate impactful findings, advanced methodologies, and emerging technological developments that advance the frontiers of engineering excellence and scientific progress.

    EAJET is indexed in Scopus (Elsevier), Web of Science (Clarivate), DOAJ, CrossRef, and other leading international abstracting and indexing databases, ensuring maximum global visibility, citation discoverability, and long-term scholarly impact for all published research.

    The journal publishes original research articles, systematic and scoping reviews, technical communications, short reports, and applied case studies across all areas within its defined engineering and technology scope. EAJET is committed to the highest standards of research integrity, editorial transparency, and equitable open knowledge — ensuring permanent, unrestricted access to published scholarship for academia, industry, policymakers, and society worldwide.

    Indexing & Abstracting

    EAJET is recognized, indexed, and abstracted in the following leading international scholarly databases, repositories, and research discovery platforms:

    Database / Platform Status
    Scopus (Elsevier) ✅ Indexed
    Web of Science (Clarivate) ✅ Indexed
    DOAJ – Directory of Open Access Journals ✅ Listed
    CrossRef ✅ DOI Registered
    Google Scholar ✅ Indexed
    EBSCO ✅ Indexed
    Dimensions ✅ Indexed
    BASE – Bielefeld Academic Search Engine ✅ Indexed
    OpenAIRE ✅ Indexed
    Semantic Scholar ✅ Indexed
    ResearchGate ✅ Listed
    ROAD – Directory of Open Access Scholarly Resources ✅ Listed

    All published articles are assigned a unique CrossRef Digital Object Identifier (DOI), ensuring permanent citation traceability, persistent online accessibility, and seamless integration with global research discovery and bibliometric infrastructure.

    Journal Metrics

    Indicator Value
    Scopus CiteScore Under Active Evaluation
    SCImago Journal Rank (SJR) Under Active Evaluation
    SNIP – Source Normalized Impact per Paper Under Active Evaluation
    Scopus Subject Classification Engineering · Computer Science · Applied Sciences · Technology
    Acceptance Rate Selective — Rigorous Double-Blind Peer Review
    Time to First Decision ≤ 15 Business Days
    Average Peer Review Duration ~50 Days
    Acceptance to Online Publication 60–90 Days
    Plagiarism Screening iThenticate / Turnitin (Pre-Review)
    Peer Review Model Double-Blind
    Post-Acceptance Indexing Within 4–6 Weeks
    Article Identifier DOI via CrossRef

    CiteScore, SJR, and SNIP values will be updated upon completion of the Scopus evaluation cycle. Authors may track current metrics via the Scopus Source List.

    Open Access & Publication Model

    EAJET operates under a full Gold Open Access publishing model, ensuring that all accepted and published articles are freely, immediately, and permanently accessible to readers worldwide — without subscription fees, paywalls, or institutional access barriers — in full compliance with the Budapest Open Access Initiative (BOAI) and published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

    The CC BY 4.0 license permits unrestricted use, distribution, adaptation, translation, and reproduction in any medium or format, provided the original work is appropriately cited and any modifications are clearly indicated.

    Article Processing Charges (APCs) are collected solely upon formal manuscript acceptance, following the completion of rigorous peer review. No fees are charged at the point of submission or during the review process. The APC covers all costs associated with:

    APC Coverage Details
    Editorial Management Manuscript handling, correspondence, and workflow coordination
    Peer Review Administration Reviewer assignment, evaluation oversight, and decision processing
    Professional Production Typesetting, formatting, proofreading, and XML/PDF generation
    Online Hosting Permanent article-level hosting on the EAJET platform
    Digital Archiving Long-term preservation via CLOCKSS, Portico, and Internet Archive
    Indexing Services CrossRef DOI registration and database submission support

    Full details on current APC rates, institutional membership pricing, and fee waiver eligibility for researchers from low- and middle-income countries are published transparently on the journal website.

    The EAJET Gold Open Access model delivers:

    • Immediate, worldwide visibility and unrestricted accessibility upon publication
    • Enhanced readership, citation potential, and discoverability in Scopus and Web of Science
    • Rapid and broad dissemination of engineering and technology scholarship
    • Full compliance with major international funder open-access mandates including Plan S, the NIH Open Access Policy, and Horizon Europe requirements
    • Equitable knowledge-sharing across academia, industry, government, and society globally

    Aims & Scope

    EAJET publishes original research articles, systematic and scoping reviews, technical reports, short communications, and applied case studies spanning the full breadth of engineering, applied sciences, and emerging technology disciplines. The journal strongly encourages interdisciplinary and cross-domain submissions that address contemporary engineering and technology challenges through innovative methodologies, experimental validation, and real-world applied solutions.

    Artificial Intelligence & Machine Learning in Engineering

    AI-driven engineering design and optimization; machine learning for predictive maintenance and fault detection; deep learning applications in signal and image processing; reinforcement learning for autonomous systems; explainable AI (XAI) in safety-critical engineering; AI integration in industrial automation and smart manufacturing.

    Blockchain & Decentralized Systems

    Distributed ledger technologies and consensus mechanisms; blockchain applications in supply chain, logistics, and manufacturing; smart contract development and security; decentralized identity and access management; tokenization frameworks for engineering asset management; Web3 infrastructure and decentralized applications (dApps).

    Internet of Things (IoT) & Smart Technologies

    IoT system architecture and protocol design; smart sensor networks and edge intelligence; Industrial IoT (IIoT) and Industry 4.0 integration; connected infrastructure and smart city applications; real-time data acquisition and embedded systems; IoT security, privacy, and device management.

    Quantum Computing & Future Computing Paradigms

    Quantum algorithm design and quantum circuit optimization; quantum error correction and fault-tolerant computing; hybrid quantum-classical computational frameworks; quantum communication and cryptographic protocols; neuromorphic and biological computing architectures; post-quantum security and cryptography standards.

    Cybersecurity & Digital Privacy Engineering

    Network security architecture and intrusion detection systems; cryptographic protocol design and implementation; cyber-physical system security and resilience; digital forensics and incident response engineering; privacy-enhancing technologies and regulatory compliance (GDPR, NIS2); threat intelligence and vulnerability assessment frameworks.

    Next-Generation Engineering Solutions & Smart Infrastructure

    Smart grid systems and energy management technologies; autonomous vehicle systems and intelligent transportation; advanced structural health monitoring and sensing; digital twin technology and cyber-physical integration; green building technologies and sustainable infrastructure design; next-generation materials for engineering applications.

    Advanced Engineering & Applied Sciences

    Mechanical, civil, and chemical engineering innovations; aerospace, marine, and automotive engineering advances; biomedical engineering and health technology systems; environmental and water resources engineering; robotics, automation, and mechatronics systems; precision engineering and advanced manufacturing technologies.

    Editorial & Publication Ethics

    EAJET upholds the highest standards of editorial integrity and scholarly publication ethics, in full alignment with the following internationally recognized frameworks and guidelines:

    • COPE – Committee on Publication Ethics (Core Practices & Code of Conduct)
    • ICMJE – International Committee of Medical Journal Editors
    • STM Association – Best Practices for Responsible Publishing
    • WAME – World Association of Medical Editors
    • Elsevier Publishing Ethics Standards and Guidelines

    All submitted manuscripts must satisfy the following conditions:

    • Represent original, novel, and previously unpublished work in any language or medium
    • Not be under simultaneous consideration at any other journal, conference, or preprint server (unless formally declared)
    • Adhere to ethical standards for research involving experimental data, human subjects, computational models, or AI-generated content
    • Include full and transparent disclosure of funding sources, data availability statements, conflicts of interest, and individual author contribution statements (CRediT taxonomy recommended)

    All manuscripts are screened using iThenticate / Turnitin prior to peer review assignment. Similarity reports are evaluated by the editorial office in strict accordance with COPE guidelines.

    EAJET strictly prohibits:

    • Plagiarism, self-plagiarism, or duplicate publication in any form
    • Data fabrication, falsification, image manipulation, or selective reporting
    • Undisclosed financial or non-financial conflicts of interest
    • Ghost authorship, gift authorship, or misrepresentation of contributor roles
    • Breach of ethical approval requirements for studies involving human participants or sensitive data

    Suspected violations are investigated using COPE flowcharts and may result in desk rejection, retraction, or formal notification to the author's affiliated institution and funding body.

    Peer Review Process

    EAJET operates a fully double-blind peer review system. Author and reviewer identities remain mutually concealed throughout the entire evaluation process, ensuring impartiality, objectivity, and full protection against bias.

    Stage 1 — Initial Editorial Screening

    Every submission undergoes a thorough editorial assessment for scope compliance, structural completeness, language quality, originality, and adherence to EAJET submission guidelines. Manuscripts that do not meet baseline standards are desk-rejected promptly, with constructive editorial feedback provided to authors.

    Stage 2 — Double-Blind Peer Review

    Manuscripts passing initial screening are assigned to a minimum of two independent expert reviewers with established subject-matter expertise in the relevant engineering or technology domain. Reviewers assess scientific validity, methodological soundness, novelty, clarity of presentation, and overall contribution to the field. Additional reviewers may be engaged for highly specialized or interdisciplinary submissions.

    Stage 3 — Editorial Decision

    Based on consolidated reviewer recommendations, the Editor-in-Chief issues one of the following formal decisions:

    Decision Description
    ✅ Accept No further revisions required — proceeds directly to production
     

     

  • European Data Science Journal (EDSJ) p-ISSN 3050-9572 en e-ISSN 3050-9580

    European Data Science Journal (EDSJ)

    p-ISSN: 3050-9572 | e-ISSN: 3050-9580 Open Access | Peer-Reviewed | International | Scopus Indexed

    What is EDSJ?

    The European Data Science Journal (EDSJ) is an open-access, peer-reviewed international journal dedicated to publishing high-quality, original research in Data Science, Analytics, and data-driven innovation. Published continuously with rapid turnaround, EDSJ is indexed in Scopus (Elsevier), affirming its adherence to the highest global standards of peer review, editorial quality, and research integrity.

    EDSJ provides a rigorous academic platform for researchers, scholars, and industry professionals to disseminate innovative ideas, theoretical developments, applied methodologies, and cutting-edge advancements across the rapidly evolving landscape of data science. The journal welcomes both foundational and applied contributions with interdisciplinary reach spanning healthcare, finance, engineering, social sciences, cybersecurity, and sustainability.

    Indexing & Abstracting

    EDSJ is recognized in leading international academic databases, ensuring maximum visibility and citation impact for all published research:

    Database Status
    Scopus (Elsevier) ✅ Indexed — CiteScore, SJR & SNIP metrics available
    SCImago Journal Rank (SJR) ✅ Listed
    DOAJ (Directory of Open Access Journals) ✅ Listed
    CrossRef ✅ DOI Registered
    Google Scholar ✅ Indexed
    ROAD (ISSN Open Access Directory) ✅ Listed
    EuroPub ✅ Indexed
    ResearchBib ✅ Indexed

    Authors can verify EDSJ's current Scopus indexing status at the official Scopus Sources page.

    Journal Metrics

    Metric Details
    CiteScore Available via Scopus
    SJR Available via SCImago
    SNIP Available via Scopus
    h-Index Updated annually
    Review to First Decision Average: ~21 days
    Acceptance to Publication Average: ~7 days

    Open Access & Publication Model

    EDSJ operates under a full Gold Open Access model in compliance with open-access mandates from major international funding bodies. All published articles are freely and immediately accessible upon publication — no subscription, paywall, or embargo period applies.

    To sustain high publication standards, operational expenses including peer review management, editorial processing, professional typesetting, DOI registration, and long-term archiving are supported through Article Processing Charges (APCs), levied only after formal acceptance following peer review. No charges are applied at submission.

    APC waivers and discounts are available for authors from low- and middle-income countries. Contact the editorial office for details.

    This model delivers:

    • Maximum global visibility and readership
    • Broad international reach and interdisciplinary impact
    • Enhanced citation potential and research discoverability
    • Compliance with funder and institutional open-access mandates

    Editorial & Peer Review Ethics

    EDSJ maintains rigorous editorial and ethical standards in full compliance with the guidelines of the Committee on Publication Ethics (COPE), DOAJ, and Scopus content selection criteria. A publicly available Publication Ethics and Malpractice Statement is maintained on the journal website.

    Submission Requirements — All manuscripts must:

    • Be original and not previously published in any form
    • Not be under concurrent review at any other journal
    • Adhere to ethical guidelines in research design, data collection, and reporting
    • Include English-language titles and structured abstracts
    • Disclose any conflicts of interest, funding sources, and use of AI-assisted writing tools

    Review Workflow:

    1. Initial Editorial Screening — assessment of scope, originality, language quality, and adherence to journal standards
    2. Plagiarism & Integrity Check — using industry-standard detection tools
    3. Double-Blind Peer Review — minimum two independent expert reviewers in data science and related fields
    4. Editorial Decision — communicated with detailed reviewer feedback
    5. Revision & Final Acceptance — authors respond to reviewer comments before final acceptance

    Ethical concerns addressed include: plagiarism, data fabrication or falsification, competing interests, authorship disputes, and ethical implications of human- or machine-generated data including AI-assisted content in manuscripts.

    Scope of EDSJ

    EDSJ publishes original research articles, systematic reviews, case studies, and technical reports across all areas of Data Science. Both theoretical and applied contributions are welcomed, provided they advance understanding, promote innovation, or demonstrate real-world implementation.

    Core Data Science Methods

    • Machine Learning & Deep Learning
    • Statistical Modeling & Probabilistic Methods
    • Data Mining & Knowledge Discovery
    • Predictive, Descriptive & Prescriptive Analytics
    • Natural Language Processing (NLP) & Large Language Models
    • Computer Vision & Multimodal Learning
    • Optimization & Simulation Methods

    Data Engineering & Infrastructure

    • Big Data Systems & Distributed Computing
    • Data Pipelines, ETL & Real-Time Streaming
    • Cloud Computing & Scalable Architectures
    • Database Systems, Data Warehousing & Data Lakes
    • MLOps, DataOps & Model Deployment

    Applied & Domain-Specific Data Science

    • Healthcare Analytics & Biomedical Data Science
    • Financial Modeling, Risk Analysis & FinTech
    • Social Science & Behavioral Data Analysis
    • Energy, Climate & Environmental Data Science
    • Business Intelligence & Market Analytics
    • Education Analytics & Learning Data Science
    • Cybersecurity, Threat Intelligence & Fraud Detection
    • Smart Cities, IoT & Sensor Data Analytics

    Ethics & Responsible Data Science

    • Algorithmic Fairness, Bias & Transparency
    • Explainable AI (XAI) & Model Interpretability
    • Data Privacy, Governance & Regulatory Compliance
    • Federated Learning & Differential Privacy
    • Societal Implications of Data-Driven Systems

    Visualization & Decision Support

    • Data Visualization Techniques & Storytelling
    • Human-Computer Interaction in Data Science
    • Decision-Support & Recommendation Systems
    • Interactive Dashboarding & Reporting Models

    Open Science & Reproducibility

    • FAIR Data Principles & Open Data Initiatives
    • Reproducible Research Practices & Workflows
    • Benchmark Datasets, Evaluation Frameworks & Tools
    • Replication & Meta-Analysis Studies

    EDSJ particularly welcomes interdisciplinary research connecting data science with medicine, law, social sciences, engineering, sustainability, and public policy.

    Preservation & Archiving

    EDSJ employs a robust, long-term digital preservation strategy to ensure the permanent safeguarding of the scholarly record. All published content is:

    • Securely stored across redundant, geographically distributed servers
    • Continuously backed up through automated systems
    • Preserved through long-term digital archiving in recognized repositories
    • Assigned permanent DOIs via CrossRef for stable, citation-ready linking

    These measures guarantee uninterrupted accessibility of all articles, independent of any platform or operational changes.

    Retraction, Correction & Expression of Concern Policy

    EDSJ is committed to maintaining the integrity of the scholarly record in line with COPE Retraction Guidelines. Published articles may be subject to:

    • Corrections (Errata/Corrigenda) — for minor errors not affecting conclusions
    • Expressions of Concern — when serious questions are raised and under active investigation
    • Retractions — for proven misconduct, major inaccuracies, or invalid findings
    • Removals — only in exceptional legal or ethical circumstances

    All post-publication actions are handled transparently, documented on the journal website, and communicated to relevant indexing databases including Scopus.

    Privacy & Data Handling

    EDSJ respects the confidentiality and security of all personal data in compliance with applicable data protection standards. Data collected is limited to what is necessary for manuscript processing, editorial communication, and journal operations.

    Personal data:

    • Are stored securely on protected systems
    • Are accessible only to authorized editorial personnel
    • Are used exclusively for journal operations and never shared with unauthorized third parties

    Authors and reviewers may request modification or deletion of their personal information at any time by contacting the editorial office.

    Contact Information

    Editorial Office — European Data Science Journal (EDSJ)

  • European Journal of Analytics and Artificial Intelligence (EJAAI) p-ISSN 3050-9556 en e-ISSN 3050-9564

     

    European Journal of Advances in Artificial Intelligence (EJAAI)

    p-ISSN: 3050-9556 | e-ISSN: 3050-9564 Open Access | Peer-Reviewed | International | Scopus Indexed

    What is EJAAI?

    The European Journal of Advances in Artificial Intelligence (EJAAI) is an open-access, peer-reviewed international journal dedicated to publishing high-quality, original research across all areas of Artificial Intelligence and its emerging real-world applications. EJAAI is indexed in Scopus (Elsevier) — the world's largest abstract and citation database — confirming the journal's adherence to globally recognized standards of peer review, editorial quality, and research integrity.

    EJAAI provides a rigorous and dynamic academic platform for researchers, academics, and industry professionals to disseminate innovative ideas, theoretical foundations, applied methodologies, and cutting-edge advancements across the rapidly evolving AI landscape. The journal actively encourages interdisciplinary contributions that connect AI with engineering, healthcare, cognitive science, cybersecurity, social sciences, and sustainability.

    By maintaining a full open-access model, EJAAI ensures that impactful AI research remains freely available to the global community, accelerating scientific progress and fostering cross-disciplinary collaboration.

    Indexing & Abstracting

    EJAAI is recognized in leading international academic databases and scholarly repositories, ensuring maximum visibility, citation tracking, and research discoverability for all published work:

    Database Status
    Scopus (Elsevier) ✅ Indexed — CiteScore, SJR & SNIP metrics available
    SCImago Journal Rank (SJR) ✅ Listed
    DOAJ (Directory of Open Access Journals) ✅ Listed
    CrossRef ✅ DOI Registered
    Google Scholar ✅ Indexed
    ROAD (ISSN Open Access Directory) ✅ Listed
    EuroPub ✅ Indexed
    ResearchBib ✅ Indexed

    Authors can verify EJAAI's current Scopus indexing status directly at the official Scopus Sources page.

    Journal Metrics

    Metric Details
    CiteScore Available via Scopus (updated annually)
    SJR Available via SCImago
    SNIP Available via Scopus
    h-Index Updated annually
    First Editorial Decision Average: ~14–21 days
    Acceptance to Publication Average: ~7 days
    Publication Frequency Continuous (rolling online-first publication)

    Open Access & Publication Model

    EJAAI operates under a full Gold Open Access model, compliant with the open-access mandates of major international research funding bodies, including Plan S, NIH, and Horizon Europe. All accepted articles are immediately, permanently, and freely accessible upon publication — with no subscription fee, paywall, or embargo period for readers anywhere in the world.

    To sustain high publication standards, operational expenses — including peer review management, editorial processing, professional typesetting, DOI registration via CrossRef, and long-term digital archiving — are supported through Article Processing Charges (APCs), applied only after formal acceptance following peer review. No charges are applied at the point of submission.

    APC waiver and discount policies are available for authors from low- and middle-income countries. Contact the editorial office for eligibility and application details.

    Benefits of the Gold Open Access model:

    • Maximum global visibility, readership, and research discoverability
    • Increased citation potential across academic and industry communities
    • Immediate accessibility for researchers, practitioners, and policymakers worldwide
    • Full compliance with funder and institutional open-access mandates

    Editorial & Peer Review Ethics

    EJAAI upholds the highest standards of ethical scholarly publishing, in full compliance with the guidelines of the Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), and Scopus content selection criteria. A publicly available Publication Ethics and Malpractice Statement is maintained on the journal website, consistent with Scopus indexing requirements.

    Submission Requirements — All manuscripts must:

    • Be original, unpublished, and not currently under review at any other journal or venue
    • Comply with ethical standards in research design, data collection, analysis, and reporting
    • Include English-language titles and structured abstracts for international accessibility
    • Disclose all conflicts of interest, funding sources, and any use of AI-assisted writing or generation tools

    Peer Review Workflow:

    1. Initial Editorial Screening — evaluation of scope alignment, originality, language quality, and formatting compliance
    2. Plagiarism & Research Integrity Check — using industry-standard automated detection tools
    3. Double-Blind Peer Review — minimum two independent expert reviewers per manuscript, drawn from relevant AI sub-disciplines
    4. Editorial Decision — communicated with structured, constructive reviewer feedback
    5. Revision & Re-Review — authors provide a formal response to all reviewer comments
    6. Final Acceptance & Production — professional copyediting, typesetting, DOI assignment, and online-first publication

    Ethical concerns addressed include: plagiarism, data fabrication or falsification, duplicate submission, undisclosed competing interests, authorship disputes, and the undisclosed use of AI-generated content in submitted manuscripts.

    Scope of EJAAI

    EJAAI publishes original research articles, systematic reviews, case studies, technical reports, short communications, and replication studies across all areas of Artificial Intelligence. Both theoretical and applied contributions are welcomed, provided they are scientifically rigorous and of relevance to an international readership. Article titles and abstracts must be provided in English.

    AI Foundations & Core Theory
    • Intelligent Systems & Agent-Based Modeling
    • Knowledge Representation & Automated Reasoning
    • Expert Systems & Decision Support
    • Evolutionary & Swarm Computing
    • Reinforcement Learning & Multi-Agent Systems
    • Automated Planning & Scheduling
    Machine Learning & Deep Learning
    • Supervised, Unsupervised & Semi-Supervised Learning
    • Neural Networks, Deep Architectures & Foundation Models
    • Transfer Learning, Meta-Learning & Few-Shot Learning
    • Explainable AI (XAI) & Model Interpretability
    • AutoML, Neural Architecture Search & Optimization
    • Federated Learning & Privacy-Preserving ML
    Data-Driven Intelligence
    • Big Data Analytics & Scalable AI Systems
    • Pattern Recognition & Statistical Learning
    • Feature Engineering & Dimensionality Reduction
    • Anomaly Detection & Predictive Modeling
    • Graph Neural Networks & Relational Learning
    Natural Language & Speech Processing
    • Natural Language Processing (NLP) & Large Language Models (LLMs)
    • Generative AI & Prompt Engineering
    • Machine Translation & Multilingual AI
    • Speech Recognition, Synthesis & Spoken Dialogue Systems
    • Text Mining, Information Extraction & Sentiment Analysis
    Computer Vision & Image Processing
    • Object Detection, Recognition & Semantic Segmentation
    • Image & Video Understanding & Generation
    • Medical Image Analysis & Diagnostic AI
    • Generative Models (GANs, Diffusion Models, VAEs)
    • Vision-Language Models & Multimodal AI
    Robotics & Autonomous Systems
    • Intelligent Robotics & Adaptive Control
    • Motion Planning & Path Optimization
    • Autonomous Vehicles, Drones & Unmanned Systems
    • Human-Robot Interaction & Collaborative Robotics
    • Cyber-Physical Systems & Embodied AI
    AI Ethics, Safety & Governance
    • Fairness, Transparency & Accountability in AI
    • Ethical Frameworks & Regulatory Compliance for AI Deployment
    • Privacy-Preserving AI Models & Secure Inference
    • AI Safety, Robustness & Adversarial Resilience
    • Societal, Legal & Environmental Implications of AI
    Applied & Interdisciplinary AI
    • AI in Healthcare, Biomedical Informatics & Drug Discovery
    • AI in Finance, Economics & Business Intelligence
    • Industrial Automation & AI-Driven Manufacturing
    • Smart Cities, IoT & Edge AI
    • AI in Education & Cognitive Sciences
    • Agriculture, Climate & Environmental AI
    • AI in Cybersecurity & Threat Intelligence
    • AI for Social Good & Humanitarian Applications

    EJAAI particularly welcomes interdisciplinary research that bridges AI with engineering, law, social sciences, cognitive science, public policy, and sustainability science.

    Preservation & Archiving

    EJAAI employs a robust, multi-layered digital preservation strategy to ensure the permanent safeguarding and accessibility of the scholarly record. All published content is:

    • Securely stored across geographically redundant, distributed server infrastructure
    • Continuously backed up through automated systems on a regular, scheduled basis
    • Preserved through long-term digital archiving in internationally recognized repositories
    • Assigned permanent Digital Object Identifiers (DOIs) via CrossRef for stable, globally citation-ready linking

    These measures guarantee uninterrupted access to all published research, entirely independent of any future platform migration, system changes, or operational transitions.

    Retraction, Correction & Expression of Concern Policy

    EJAAI is fully committed to maintaining the integrity of the published scholarly record, in accordance with COPE Retraction Guidelines. Post-publication actions may include:

    • Corrections (Errata / Corrigenda) — for minor errors that do not affect the conclusions, validity, or reproducibility of the work
    • Expressions of Concern — issued when serious questions are raised about a published article and an active editorial or institutional investigation is underway
    • Retractions — for confirmed research misconduct, fundamental errors, fabricated data, or results that can no longer be relied upon
    • Removals — reserved strictly for exceptional legal, ethical, or copyright-related circumstances

    All post-publication actions are handled with full transparency, documented publicly on the journal website, and communicated directly to Scopus and all relevant indexing databases to maintain the integrity of the global scholarly record.

    Privacy & Data Handling Policy

    EJAAI respects the confidentiality and security of all personal information provided by authors, reviewers, and readers, in compliance with applicable international data protection regulations. Data collected is strictly limited to what is necessary for manuscript submission processing, editorial communication, and journal operations.

    Personal data are:

    • Stored securely on access-controlled, protected systems
    • Accessible only to authorized editorial personnel with a legitimate operational need
    • Used exclusively for journal-related purposes and never shared with unauthorized third parties

    Authors and reviewers may at any time request access to, correction of, or permanent deletion of their personal data by contacting the editorial office directly.

    Complaints & Appeals

    EJAAI provides a transparent, fair, and accessible procedure for handling editorial complaints and appeals, fully aligned with COPE guidelines. Formal complaints must be submitted in writing to the editorial office, accompanied by relevant supporting documentation.

    Each case is reviewed promptly and impartially by the Editorial Office in consultation with appropriate senior editorial authorities. Authors may appeal an editorial decision once; all final appeal outcomes are communicated in writing and are binding. The process ensures fairness, confidentiality, and consistency at every stage.

    Call for Special Issues

    EJAAI invites leading researchers, domain experts, and scientific community leaders to propose Special Issues on focused, emerging, or interdisciplinary topics within Artificial Intelligence. Proposals should include:

    • Proposed topic title and clearly defined scientific objectives
    • Scope and relevance to AI research and the journal's aims
    • Guest editor qualifications, institutional affiliations, and Scopus author profiles
    • Proposed timeline, call-for-papers text, and estimated submission volume

    All special issue manuscripts undergo the same rigorous double-blind peer review process as regular submissions, ensuring consistent quality, integrity, and editorial standards throughout.

    Contact Information

    Editorial Office — European Journal of Advances in Artificial Intelligence (EJAAI)