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Retracted Citations and Self-citations in Retracted Publications: A Comparative Study of Plagiarism and Fake Peer Review

Published 2 Feb 2025 in cs.IR | (2502.00673v1)

Abstract: Retracted citations remain a significant concern in academia as they perpetuate misinformation and compromise the integrity of scientific literature despite their invalidation. To analyze the impact of retracted citations, we focused on two retraction categories: plagiarism and fake peer review. The data set was sourced from Scopus and the reasons for the retraction were mapped using the Retraction Watch database. The retraction trend shows a steady average growth in plagiarism cases of 1.2 times, while the fake peer review exhibits a fluctuating pattern with an average growth of 5.5 times. Although fewer papers are retracted in the plagiarism category compared to fake peer reviews, plagiarism-related papers receive 2.5 times more citations. Furthermore, the total number of retracted citations for plagiarized papers is 1.8 times higher than that for fake peer review papers. Within the plagiarism category, 46% of the retracted citations are due to plagiarism, while 53.6% of the retracted citations in the fake peer review category are attributed to the fake peer review. The results also suggest that fake peer review cases are identified and retracted more rapidly than plagiarism cases. Finally, self-citations constitute a small percentage of citations to retracted papers but are notably higher among citations that are later retracted in both the categories.

Authors (2)

Summary

  • The paper reveals that plagiarized articles receive 2.5 times more citations than those retracted for fake peer review despite lower retraction volumes.
  • It utilizes data from Scopus and Retraction Watch, noting a steady 1.2x growth in plagiarism retractions versus a 5.5x erratic increase in fake peer review cases.
  • The study highlights a higher incidence of self-citations in retracted works and calls for improved oversight to curb post-retraction citations.

Analysis of Retracted Citations and Self-citations in Retracted Publications Due to Plagiarism and Fake Peer Review

The study discussed in this paper explores the intricate dynamics of retracted citations in academic publications, with a focus on two significant categories: plagiarism and fake peer review. Retracted citations are citations made to papers that have been officially retracted due to issues such as errors or misconduct. Even after retraction, these papers continue to be cited, presenting a substantial problem for the academic community by spreading misinformation and compromising the integrity of scientific literature.

Core Findings

This comparative analysis utilizes data from Scopus and the Retraction Watch database to examine trends in retraction rates for cases of plagiarism and fake peer reviews. A key finding is the differing patterns of growth in these categories. Plagiarism-related retractions show a steady average growth of 1.2 times, whereas fake peer review retractions exhibit a more erratic trend, averaging a 5.5 times growth. Notably, despite a higher volume of retractions in the fake peer review category, plagiarized articles tend to receive more citations (2.5 times higher), including non-retracted and retracted ones alike.

The analysis further highlights that within the plagiarism category, 46% of retracted citations stem from plagiarism, while for fake peer review, this is higher, at 53.6%. These findings suggest that fake peer review cases are detected and retracted more swiftly than those for plagiarism.

Self-citations, although constituting a smaller fraction of total citations, show a higher representation among citations that are eventually retracted in both categories. Self-citations to retracted papers are notably higher in plagiarism cases compared to fake peer reviews.

Implications and Future Directions

This research underscores the complexity of managing retracted citations and the persistence of misinformation in scientific literature. The higher rate of citations received by plagiarized papers indicates a need for more stringent oversight and better identification mechanisms in the publishing process. A major implication of this study is the need to address the systemic issues that allow retracted papers to continue being cited, often unknowingly by researchers.

From a practical perspective, improving the visibility and accessibility of retraction notices could reduce the likelihood of these papers being cited post-retraction. The implementation of more robust checks in reference management tools, as well as increased awareness among researchers about verifying the retraction status of references, can mitigate this issue.

Theoretically, this study opens new avenues for exploring the impact of retracted papers on scientific fields and the propagation of erroneous information. Future investigations could focus on developing advanced algorithms for detecting retracted studies in citation databases and exploring the role of automated systems in minimizing citation of invalid literature.

In conclusion, this paper provides a meticulous evaluation of retraction dynamics in academic publishing, with critical insights into the persistence of retracted citations and the role of self-citations. Its findings highlight the necessity for systemic changes in the dissemination and management of retraction information, which are vital for maintaining the credibility and integrity of academic research in an era of rapid publication and information overload.

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