Study results for the detection of matching content using citation analysis

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Вадим Николаевич Гуреев
Николай Алексеевич Мазов

Abstract

Translated plagiarism has widely spread in a scientific world and posed a serious problem due to the challenges in its automatic detection. However, in the last five years some progress has been observed in this area. The authors of this paper, as well as foreign research team from several universities independently of each other proposed an approach to detect plagiarism based on citation analysis with search of initial source for analyzed suspected paper with the same or similar references. Developed methods of detection of illegal use of borrowed text successfully passed several tests. The report shows the results that we have obtained in the last four years.

Article Details

Author Biographies

Вадим Николаевич Гуреев

Ph.D. (Education), senior researcher at Information Analysis Center of Trofimuk Institute of Petroleum Geology and Geophysics, SB RAS. Expert in bibliometrics, modern technologies of information retrieval, processing and analysis of bibliographic metadata. Area of expertise also includes bibliometric analysis of certain research areas in Russia and abroad, optimization of acquisition in libraries, representation of information on scholarly output in scientometric databases including problems of metadata identification.

Николай Алексеевич Мазов

Ph.D. (engineering), head of Information Analysis Department of Trofimuk Institute of Petroleum Geology and Geophysics. Expert in library and information science, databases, as well as scientometrics and bibliometrics. His area of expertise comprises detection of research fronts in geosciences, evaluation of performance indicators of scientific work in Russia, bibliometrics as a branch of library science, citation analysis, plagiarism detection, publication ethics, expert evaluation of serials.

References

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