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A scientometric study for scientific research publication on gender inequality

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Abstract

Gender inequality is the deprivation of an individual or group of individuals a particular right or rights that are readily available to persons of the opposite sex in the same category. Gender inequality popularity cannot be overemphasized and it is increasing day by day. This popularity has attracted great researchers to delve more into this topic and today, we have a plethora of research studies on this topic. This research aims at performing a scientometric analysis of various pieces of research performed on selected sub-categories of gender inequalities within twenty (20) years (1999–2018). The choice of sub-categories was arrived at based on keyword reputation along with the number of publications in each sub-category as presented in the Scopus database. The results of the analysis were visualized with VOSviewer and Biblioshiny web interface. Publications and journal citation count analysis, influential institutes and countries, key research topics, and author collaboration are evaluated from Scopus bibliographic data. Health, education, adult, income, and poverty are the most prominent identified subcategories. Authors from the USA have the overall highest contributions and 73.57% of the total contributions made in the social sciences sub-category. The country also has the highest collaboration network with the rest of the world in gender inequality research work, followed by Australia and Canada. South Africa is the highest number of collaborating country in the African region. Female, male, human, adult and middle-aged are the most frequently used keywords in publications related to gender inequalities as identified by our analysis. Full descriptions of the output are given in the results and discussion section. This will help researchers, government and non-governmental organisations, decision-makers, and the general public have detailed insights into studies around gender imbalances and make well-informed decisions.

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Availability of data and materials

All the datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

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  1. Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India

    Sulaimon Oyeniyi Adebayo & Munish Saini

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Adebayo, S.O., Saini, M. A scientometric study for scientific research publication on gender inequality. Qual Quant 57, 5107–5135 (2023). https://doi.org/10.1007/s11135-022-01604-5

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