Misconduct and Plagiarism

Misconduct and Plagiarism

High-Performance Distributed Computing Review does not accept manuscripts involving plagiarism, duplicate publication, data fabrication, data falsification, authorship manipulation, unethical citation practices, unauthorized reuse of software code, misleading technical results, benchmark manipulation, or any other form of publication misconduct.

Forms of Misconduct

  • Copying text, data, images, tables, code, algorithms, diagrams, architectures, or ideas without proper citation
  • Submitting the same manuscript to more than one journal at the same time
  • Publishing the same or substantially similar work more than once without disclosure
  • Fabricating or falsifying data, results, experiments, simulations, benchmarks, or analysis
  • Manipulating figures, graphs, screenshots, performance outputs, or benchmark results in a misleading way
  • Adding authors who did not contribute to the work
  • Removing contributors who made a genuine scholarly contribution
  • Manipulating citations to increase citation counts unfairly
  • Failing to disclose conflicts of interest, funding sources, datasets, software dependencies, or benchmark tools

Plagiarism Handling

Manuscripts may be checked for similarity before or during editorial review. If plagiarism or unacceptable similarity is found, the manuscript may be rejected, returned for correction, or investigated further depending on the severity.

Post-Publication Concerns

If misconduct is discovered after publication, the journal may issue a correction, expression of concern, or retraction. The editorial team may also contact authors, institutions, or relevant parties if serious misconduct is suspected.