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：本文对非洲视角下的机器学习研究最新进展及其相关应用进行了批判性文献计量分析，并结合了广泛的文献综述。本文献计量分析研究包含2761篇机器学习相关文献，其中98%为文章，过去三十年间发表在903种期刊上，累计被引至少482次。此外，所整理的文献检索自科学引文索引扩展版，涵盖1993年至2021年间54个非洲国家的研究成果。该文献计量研究展示了机器学习研究及其应用的当前格局与未来趋势的可视化结果，以促进非洲大陆各研究机构作者之间的未来合作研究与知识交流。