CONTRIBUTION OF PAKISTANI FEMALE RESEARCHERS IN ICT: A BIBLIOMETRIC ANALYSIS

Abstract

This paper analyses the contribution of Pakistani female researchers in the field of ICT using the bibliometric analysis method. It helps to observe a female researcher’s productivity and assists in identifying problems, such as the need to empower female researchers in ICT. No such work has been conducted yet on gender-based bibliometric analysis in Pakistan. In this paper, bibliometric data of 300 female researchers were extracted from Google Scholar profiles. With the help of this study, the most prestigious female researcher in the field of ICT from Pakistan was analysed based on the h-index. Also, the most active ICT institute in terms of female research productivity (the number of publications) was observed. Furthermore, the annual growth rate of 15 years (2006–2021) of female-led research is calculated and is  analysed that the maximum annual growth rate of research productivity (140.965) was in 2010. Additionally, the active contribution of female researchers in most trending research areas of ICT was found by generating the co-occurrence network diagram using 3,640 research paper titles. According to the co-occurrence network diagram, the most popular research areas are image classification and prediction, Internet of Things (IoT), wireless sensor network and smart grid, fuzzy logic and deep learning.