In this paper, a critical bibliometric analysis study is conducted, coupled with an extensive literature survey on recent developments and associated applications in machine learning research with a perspective on Africa. The presented bibliometric analysis study consists of 2761 machine learning-related documents, of which 98% were articles with at least 482 citations published in 903 journals during the past 30 decades. Furthermore, the collated documents were retrieved from the Science Citation Index EXPANDED, comprising research publications from 54 African countries between 1993 and 2021. The bibliometric study shows the visualization of the current landscape and future trends in machine learning research and its application to facilitate future collaborative research and knowledge exchange among authors from different research institutions scattered across the African continent.
翻译:本文对机器学习研究进行了批判性的文献计量研究,结合广泛的文献调查,从非洲的视角审视机器学习研究的最新进展和相关应用。所提供的文献计量分析涉及2761篇与机器学习相关的文献,其中98%的文章至少发表于903种期刊中的482篇论文,涵盖了过去30年间54个非洲国家的研究出版物。该文献计量研究显示了当前机器学习研究的现状和未来趋势的可视化,以促进分散在非洲大陆上不同研究机构的作者之间未来的合作研究和知识交流。