Journal of Applied Data Analysis and Modern Stochastic Modelling

PEER REVIEWED PROCESS FOLLOWED 

All manuscripts submitted to the Journal of Applied Data Analysis and Modern Stochastic Modelling undergo a double-blind peer review process. Both reviewers and

authors remain anonymous to each other to ensure unbiased evaluation and uphold the highest standards of scholarly integrity.

Submitted manuscripts are first screened by the Editorial Team for completeness and relevance to the journal’s aims and scope. Manuscripts meeting these criteria are

assigned to an Editor (or Section Editor) who selects at least two independent expert reviewers with appropriate subject expertise. Reviewers must not have any conflict

of interest or recent collaborations with the authors and should not be affiliated with the same institution.

Reviewers assess submitted work based on originality, methodological rigor, clarity of results, reliability of conclusions, and fit with the journal’s scope. They are

expected to provide constructive, comprehensive, and timely reports following ethical guidelines (such as COPE). Reviewer identities and reports are confidential.

Editorial decisions (accept, revise, or reject) are made after consideration of the reviewers’ reports and the Editor’s own assessment. All final decisions rest with the

Editorial Board. Appeals or complaints are handled according to established procedures published on the journal website.

Plagiarism Policy

The Journal of Applied Data Analysis and Modern Stochastic Modelling is committed to upholding the highest standards of academic integrity and ethical publishing.

Plagiarism in any form is considered a serious breach of ethical conduct and will not be tolerated.

Definition:

Plagiarism includes presenting another person's ideas, processes, results, or words without proper acknowledgment. This covers copying text, data, images, or ideas

from published or unpublished work without citation. Self-plagiarism, where authors reuse substantial parts of their own previously published work without

appropriate references, is also prohibited.

Manuscript Screening:

All submitted manuscripts will be checked for originality using advanced plagiarism detection software (such as iThenticate or Turnitin) before peer review.

Manuscripts found to contain significant overlap or duplicated content will be subject to editorial action.

Acceptable Limits:

Minor overlap or similarity (typically less than 10-15%) may require authors to revise and properly cite sources before reconsideration.

Manuscripts with moderate similarity but with potential for correction will be returned to the authors for revision.

Manuscripts with high similarity or direct copying (generally over 25-30%) will be rejected outright without proceeding to peer review.

Actions on Detected Plagiarism:

If plagiarism is detected before publication, manuscripts may be rejected or returned for revision.

For plagiarized content discovered after publication, the journal may retract the article, notify the authors’ institutions, and ban authors from future submissions.

The journal reserves the right to publicly disclose cases of proven plagiarism and take legal action if necessary.

Author Responsibilities:

Authors must ensure that their work is original and properly cites all sources. They should declare that the manuscript is not under consideration elsewhere and that it

does not infringe on copyright.

Reporting:

Readers, reviewers, and editors are encouraged to report suspected plagiarism to the editorial office for investigation.

By submitting a manuscript to the journal, authors agree to comply fully with this plagiarism policy and uphold scientific integrity in publishing.