Unveiling dimensions of social security research: a comprehensive bibliometric analysis and collaborative landscape

Abstract

Purpose

This study aims to evaluate patterns, trends and knowledge networks within social security research. By using bibliometric analysis, the research seeks to provide a comprehensive perspective on the evolution of global social security research. The purpose extends to identifying significant contributors, collaborative clusters and multifaceted issues addressed in the field.

Design/methodology/approach

This study uses bibliometric analysis to assess social security research trends and knowledge networks from 2015 to 2023. Using the Web of Science database, 6,152 relevant articles are analyzed. Quantitative techniques such as coauthorship network analysis, institutional productivity rankings and keyword clustering are applied for a comprehensive understanding.

Findings

The findings indicate a rising trajectory of publications in social security research, with the USA, China and Europe emerging as top contributors. Coauthorship patterns reveal collaborative clusters with focused research interests. Prominent authors emphasize key aspects like public policy, economics, health and labor dynamics related to social security. Keyword clustering identifies nine thematic clusters, ranging from inequality and poverty to retirement and disability reforms. A thematic map visualizes overarching categories, including motor themes, basic themes, niche themes and emerging themes.

Originality/value

This bibliometric study offers original insights into global social security research, providing a comprehensive understanding of its evolution, significant contributors and diverse thematic issues addressed. The originality lies in the application of quantitative techniques, including coauthorship network analysis and keyword clustering, to reveal collaborative patterns and thematic clusters. The study’s value extends to facilitating evidence-based decision-making for advancing the critical domain of social security through international collaboration and impactful research aligned with societal needs.

Citation

Rahimi, M., Moshiri, H. and Otarkhani, A. (2024), "Unveiling dimensions of social security research: a comprehensive bibliometric analysis and collaborative landscape", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-01-2024-0044