Our Mission
YUKTAB Publisher exists to make rigorous, peer-reviewed research openly available to readers everywhere. Every article we publish is open access from the day it's released — free for anyone to read, cite, and build on.
5
Journals
337
Published Articles
51
Issues Published
100%
Open Access
Who We Are
About YUKTAB Publisher
Editorial Standards
Each journal under YUKTAB maintains an independent editorial board and a double-blind peer review process. We hold every title — spanning computing, artificial intelligence, multidisciplinary science, and social studies — to the same standard of rigor, regardless of field.
Our History
Since publishing our first issue in 2015, YUKTAB has grown into a home for five distinct, peer-reviewed journals, each with its own editorial identity and community of authors and reviewers.
Open Access Publishing
Readers never pay to access an article — every issue is free to read, download, and cite. Publishing is supported through author-side article processing charges, disclosed upfront with no hidden costs at acceptance.
Peer Review Process
All submissions go through double-blind peer review by at least two independent reviewers in the relevant field. Editorial decisions are made on scholarly merit alone, and reviewer identities are kept confidential throughout.
Indexing & Discoverability
Published articles are assigned persistent identifiers and made discoverable through standard academic indexing channels, so your work can be found, cited, and tracked well beyond our own website.
Publication Ethics
We follow established publication ethics guidelines on authorship, conflicts of interest, and data integrity. Any concerns raised about a published article are investigated formally by the relevant editorial board.
Plagiarism Policy
YUKTAB Publisher maintains a strict, zero-tolerance plagiarism policy. Every submission is screened through similarity-detection software before entering peer review, and confirmed cases of plagiarism — including self-plagiarism and improper citation — result in immediate rejection or retraction,...
Submit Your Work
For Authors
How to Submit
Choose the journal that best fits your research area, register an author account on that journal's site, and submit your manuscript through its online submission system. Full formatting and referencing guidelines are provided on each journal's Author Guidelines page.
What We Look For
Original, unpublished research with a clear contribution to the field, sound methodology, and honest reporting of results. Submissions currently under review elsewhere cannot be considered.
Review Timeline
Most submissions receive an initial editorial decision within 21 days. Manuscripts that proceed to full peer review typically receive reviewer feedback within 6–8 weeks.
Article Processing Charges
As an open-access publisher, we cover the cost of free public access through an author-side processing charge, disclosed upfront before submission — with no surprise fees at acceptance.
Latest Research
Recently Published Articles
The Computertech
2026-06-26
Privacy Engineering for Governed AI: Protecting High-Dimensional Data in Public and Critical Systems
Artificial intelligence depends on large and often high-dimensional datasets, creating privacy risks that are not fully addressed by conventional policy statements. Public agencies and infrastructure operators may process health records, mobility traces,...
The Computertech
2026-06-25
The Future of Data Quality: Emerging Trends, Challenges, and Opportunities
The integration of artificial intelligence into scientific crowdsourcing platforms represents a paradigm shift in how scientific research is conducted, with profound implications for the relationship between human volunteers and intelligent machines. This...
The Computertech
2026-06-24
The Socio-Organizational Dimension of Data Quality: People, Processes, and Culture
Data quality is commonly understood as a technical challenge requiring measurement, validation, and correction of data errors. However, this perspective overlooks the fundamental socio-organizational dimensions that shape data quality outcomes. This review...
International Journal of Acta Informatica
2026-06-05
Governance of Artificial Intelligence in Healthcare Policy and Legislative Approaches to Balancing Innovation and Data Protection
The transformative potential of artificial intelligence in healthcare has generated substantial enthusiasm among researchers, clinicians, and policymakers. AI applications in diagnosis, treatment, monitoring, and research promise significant benefits for...
The Metascience
2026-06-04
Data Quality in Customer Relationship Management: Challenges, Solutions, and Best Practices
Customer Relationship Management systems have become essential tools for organizations seeking to understand, engage, and retain customers in increasingly competitive markets. However, the effectiveness of CRM systems depends fundamentally on the quality of...
International Journal of Acta Informatica
2026-06-03
Regulating AI in Healthcare Policy Gaps, Ethical Challenges, and Data Protection Frameworks
The intersection of artificial intelligence, genetic information, and health research presents complex ethical dilemmas that challenge existing data protection frameworks, including the European General Data Protection Regulation. This article examines the...
