Bibliometric analysis of households’ economic behavior research

The article identifies the main research trends in the field of household economic behavior, as well as the definition of the structure and interrelation of the categorical apparatus used in this field. The study involved collecting, analyzing, visualizing, and interpreting data. For this purpose, metadata from 2,800 publications of the Web of Science scientometric database in the subject area of the study from 1976 to 2024, as well as 279 publications of the Scopus database from 1973 to 2024 were used. Visualization, structuring and clustering of metadata was carried out using VOSViwer and Biblioshiny applications. As a result of the analysis, trends in the area under study were identified, scientific interest was assessed, and a thesaurus of the most frequently used words was formed. The authors’ productivity and influence on publication activity were assessed, and the historiography of citations was identified. In particular, 10 words were identified as forming the categorical apparatus of the study. The conducted research allows concluding that there is a growing level of scientific interest in the field of economic behavior of households. The categorical apparatus of the topic under study covers a wide range of interdisciplinary concepts, which indicates a fairly wide range of the material under study and requires further research into issues of economic behavior of households. Keywords: economic behavior, households, metadata, VOSViewer, Biblioshiny, Web of Science, Scopus, trends.

Authors

Publication Details

Journal
Bulletin of Toraighyrov University Economics series
Published
2025-06-30
DOI
https://doi.org/10.48081/rggb1250
Primary Topic
Business and Economic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bibliometric analysis of households’ economic behavior research

Zhelyu Vladimirov, M.K. Assanova, Maiya R. Gazizova, G. K. Rakhimzhanova
1 links
Bulletin of Toraighyrov University Economics series
Business and Economic Development
article

Bibliometric analysis of households’ economic behavior research

Zhelyu Vladimirov, M.K. Assanova, Maiya R. Gazizova, G. K. Rakhimzhanova
article en

Abstract

The article identifies the main research trends in the field of household economic behavior, as well as the definition of the structure and interrelation of the categorical apparatus used in this field. The study involved collecting, analyzing, visualizing, and interpreting data. For this purpose, metadata from 2,800 publications of the Web of Science scientometric database in the subject area of the study from 1976 to 2024, as well as 279 publications of the Scopus database from 1973 to 2024 were used. Visualization, structuring and clustering of metadata was carried out using VOSViwer and Biblioshiny applications. As a result of the analysis, trends in the area under study were identified, scientific interest was assessed, and a thesaurus of the most frequently used words was formed. The authors’ productivity and influence on publication activity were assessed, and the historiography of citations was identified. In particular, 10 words were identified as forming the categorical apparatus of the study. The conducted research allows concluding that there is a growing level of scientific interest in the field of economic behavior of households. The categorical apparatus of the topic under study covers a wide range of interdisciplinary concepts, which indicates a fairly wide range of the material under study and requires further research into issues of economic behavior of households. Keywords: economic behavior, households, metadata, VOSViewer, Biblioshiny, Web of Science, Scopus, trends.

Bulletin of Toraighyrov University Economics series(2,2025)
Decent work and economic growth
Openalex Percentile: Top 74%
Business and Economic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.