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Bulletin of Toraighyrov University Philology series
Article . 2025 . Peer-reviewed
Data sources: Crossref
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"COMPUTER SCIENCE TERMINOLOGY: ANALYSIS OF SCIENTIFIC PUBLICATIONS IN THE SCOPUS DATABASE "

Authors: null B. E. Kenges; null B. R. Kulzhanova; null S. Zh. Zhanzhigitov;

"COMPUTER SCIENCE TERMINOLOGY: ANALYSIS OF SCIENTIFIC PUBLICATIONS IN THE SCOPUS DATABASE "

Abstract

"This article examines the nature of the development of computer science terminology, focusing on its use in the fields of computer science, social sciences, and arts and humanities. The Scopus database was used as the main material for the study. Using the capabilities of this international database, an in-depth analysis was conducted. An analysis of 118 publications in the Scopus database from 1978 to 2024 showed a dynamic expansion of the terminology of this field. The publications included in the sample were carefully studied. The article focuses on the first published research work and the most cited articles in this field. The countries that submitted the most research publications were also analyzed. The discussion section presents the main results of the study, including important trends in the creation of technical term lists, the difficulties of terminological ambiguity, and the impact of interdisciplinary collaboration on the lexicon. The conclusion section emphasizes the importance of continuing research and developing adapted educational resources, as this is necessary to keep up with the rapid development of computer science terminology. Keywords: сomputer science terminology, interdisciplinary terminology, terminological ambiguity, vocabulary acquisition, standardization, globalization, educational resources, Scopus database. "

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold