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Published in: Automatic Documentation and Mathematical Linguistics 1/2022

01-02-2022 | INFORMATION ANALYSIS

Prospective Scientific Research Trend Identification Methods (Based on the Analysis of Gas Fuel-Related Publications)

Authors: Iu. I. Butenko, I. N. Telnova, V. V. Garazha

Published in: Automatic Documentation and Mathematical Linguistics | Issue 1/2022

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Abstract

This article reviews prospective scientific research-trend identification methods based on the analysis of scientific publications focused on compressed natural gas. The methods for identifying publication directions and patterns by popularity of separate topics within one subject area are presented. The materials used in the article consist of scientific research on natural gas available in citation databases of Russian Science Citation Index (RSCI), Scopus, and Web of Science and the data from the EGISU R&D system of Russian researches. The results were processed in the VOSviewer software.
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Metadata
Title
Prospective Scientific Research Trend Identification Methods (Based on the Analysis of Gas Fuel-Related Publications)
Authors
Iu. I. Butenko
I. N. Telnova
V. V. Garazha
Publication date
01-02-2022
Publisher
Pleiades Publishing
Published in
Automatic Documentation and Mathematical Linguistics / Issue 1/2022
Print ISSN: 0005-1055
Electronic ISSN: 1934-8371
DOI
https://doi.org/10.3103/S0005105522010034

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