Income and Employment Inequalities: A Bibliometric Analysis

Clicks: 1
ID: 310561
2024
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #262 of 409 articles by views in International Journal of Science and Social Science Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 409 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The study conducts a bibliometric analysis of research on income and employment disparities, exploring publication trends, key contributors, and emerging themes within the field. This analysis is carried out by R-package biblioshiny tool. The study examined research articles published between 2015 and 2024, focusing on annual scientific production, citation impact, country scientific production, thematic map and co-occurrence network. The sample includes 1743 publications from the Scopus database. The study's findings indicate a mixed pattern in publication growth with periods of significant increase and noticeable decline, leading to an overall negative growth rate. The study analyses major contributors like world development and social indicators research through metrics such as h-index and total citation counts, emphasising their significant roles in the field. This study highlights key research trends and gaps, providing a basis for future studies to address the challenges of income and employment inequalities.
Reference Key
imported_1768936727_696fd5177f499 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Parmod Kumar Aggarwal
Journal International Journal of Science and Social Science Research
Year 2024
DOI
10.5281/zenodo.13373107
URL
https://www.ijsssr.com/j/article/view/197
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.