Plagiarism
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Plagiarism is the wrongful appropriation, close imitation, or stealing and publication, of another author’s language, thoughts, ideas, or expressions, and the representation of them as one’s own original work. It is a form of scientific misconduct that has been on the rise in recent times. Although Plagiarism is not only the mere copying of text, but also the presentation of another’s ideas as one’s own, regardless of the specific words or constructs used to express that idea. |
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The editors of all the journals under RIPK take a very serious view of any evidence of plagiarism including self-plagiarism in manuscripts submitted to them. Every reasonable effort will be made to investigate any allegations of plagiarism brought to their attention, as well as instances that come up during the peer review process. Such behavior when proven beyond doubt is unacceptable, and will be suitably exposed
In those instances where in spite of these precautions a case of plagiarism goes undetected in the review process and is discovered after publication, RIPK will carry a notice of the discovery. Depending on the seriousness of the case, RIPK reserves the right to inform the heads of the offending authors’ institutions and their funding agencies about the editors’ findings.
RIPK Plagiarism detection process
Plagiarism detection is the process of locating instances of plagiarism within a work or document. The widespread use of computers and the advent of the Internet have made it easier to plagiarize the work of others. Most cases of plagiarism are found in academia, where documents are typically essays or reports. However, plagiarism can be found in virtually any field, including scientific papers, art designs, and source code.
RIPK has facilities that allow vast collections of documents to be compared to each other, making successful detection much more likely. RIPK also utilizes internet search engine to look for certain keywords or key sentences from a suspected document on the World Wide Web. In RIPK, suspected documents are compared to a large collection (corpus) of other documents and attempts to match parts of the suspect document to parts of those in the corpus
