The Scientometric Overview of the Economics Disciplines Publications in Kazakhstan in 1997-2022

2023

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.51176/1997-9967-2023-3-40-55
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This article gives an overview of the economics disciplines publications in Kazakhstan indexed in the Scopus database in the period from 1997 to 2022. The literature provides an outlook on scientometrics research that can be used for the analysis of specific research fields. Scientometrics methods used in this article identify the state of the research in economics disciplines in Kazakhstan, explicitly focusing on descriptive analysis such as distribution by number of articles, number of journals, number of authors per article, number of citations, number of citations per article and distribution of articles across journals. By using the network analysis and VosViewer software, links and connections within economics discipline publications were identified. Descriptive results of the study identify that across all economics disciplines “Economics, Econometrics, and Finance” has the largest number of publications. In contrast “Business, Management, and Accounting” has the most significant number of authors. The network analysis demonstrated weaker links in “Decision sciences” while in “Economics, Econometrics, and Finance” and “Business, Management, and Accounting” the relationship is closer and more interconnected in the subject areas. The analysis of scientific journals identified the quality of publications and type of journals where papers are published as well as the highest cited papers in the economic disciplines affiliated with Kazakhstan. Conclusions and recommendations suggest that internal processes and scientific infrastructure at universities aimed to improve the quality of publications will increase the interest in research published in Kazakhstan in the global scientific community and have practical implications for the economy.