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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/67585
Title: Mapping the scholarly landscape: a bibliometric analysis of ai and emerging technologies on ArXiv
Authors: Chigarev, B. N.
Keywords: information technology
artificial intelligence
bibliometric analysis
promising technologies
preprint metadata
key terms
peer-reviewed publications
Issue Date: 2026
Citation: Chigarev, B.N. Mapping the scholarly landscape: a bibliometric analysis of ai and emerging technologies on ArXiv / B.N. Chigarev // Научный результат. Информационные технологии. - 2026. - Т.11, №2.-С. 91-108. - DOI: 10.18413/2518-1092-2026-11-2-0-8.
Abstract: This article presents a two-step method for identifying relevant research topics in the "proof of concept" format. The first step involves analyzing bibliometric records of preprints to identify key topics described by terms taken from the abstracts. In the second step, examples of relevant peer-reviewed publications are identified based on these key terms
URI: http://dspace.bsuedu.ru/handle/123456789/67585
Appears in Collections:Т. 11, № 2

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