Plagiarism Policy

High-Performance Distributed Computing Review expects all submitted manuscripts to be original and properly referenced. Plagiarism, duplicate publication, inappropriate text reuse, data fabrication, image manipulation, benchmark manipulation, software misrepresentation, and improper citation practices are not acceptable.

Plagiarism Screening

Manuscripts may be checked for similarity before or during peer review. Similarity reports are used as editorial tools and are interpreted carefully by the editorial team. A high similarity score may lead to revision, clarification, rejection, or further investigation.

Forms of Plagiarism

Plagiarism includes copying text, ideas, figures, tables, algorithms, source code, system architectures, benchmark results, datasets, methods, or technical descriptions from another source without proper acknowledgement. It also includes self-plagiarism, duplicate submission, salami publication, and reuse of previously published material without appropriate citation or permission.

Code, Data, and Benchmark Reuse

Authors should clearly acknowledge reused software, open-source tools, datasets, benchmark suites, cloud platforms, simulation environments, container images, and third-party frameworks. Previously published or reused materials must be cited appropriately.

Author Responsibility

Authors are responsible for ensuring that all borrowed content is clearly cited and that permission is obtained where required. Paraphrased material must still be cited.

Editorial Action

If plagiarism or serious similarity concerns are identified, the journal may request an explanation, ask for revision, reject the manuscript, inform the authors' institution, or take post-publication action where necessary.

Post-Publication Cases

If plagiarism is detected after publication, the journal may publish a correction, expression of concern, or retraction depending on the severity of the case.