mlsanityData to 7 Oct 2026

Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review

arXiv 2304.07542 ↗First posted 15 Apr 2023cs.DL cs.LGcited by 3

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Abstract (arXiv)

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 years. 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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 12 of its 237 references that are in the map. First posted on arXiv 15 Apr 2023.

Builds on

12 of 237 references.

References · 12

  1. 2017State-of-the-art Speech Recognition With Sequence-to-Sequence Modelscited by 196
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  3. 2020Deep Learning COVID-19 Features on CXR using Limited Training Data Setscited by 68
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  12. 2022Efficient acoustic feature transformation in mismatched environments using a Guided-GANcited by 1

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Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.