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International research collaboration in Africa: a bibliometric and thematic analysis

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Abstract

It is widely recognised that science in Africa will benefit from international research collaboration (IRC), and therefore studies have been done on IRC in Africa (hereafter: Africa-related IRC research). However, there is no information on the development of Africa-related IRC research, the geographical location of the scientists interested in the topic, the visibility of the literature and the themes researched. This information makes it possible to understand relevant aspects in the context of IRC in Africa, which are useful for identifying IRC strengths, weaknesses and opportunities. It also allows paving the way for future research on this topic. Using discipline–specific terms, bibliometric, and thematic analysis, I collected the literature on Africa-related IRC research indexed in the Web of Science Core Collection (WoS). The results showed that the number of publications on the topic has increased, few African countries have researched the topic, a third of the publications were written exclusively by African scientists, and the topic has high visibility. The panoply of publications revealed that patterns, driving factors, effects, networks, asymmetries, and policies concerning IRC were the main themes researched.

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Fig. 1

Source: World RePORT.Footnote

https://worldreport.nih.gov/wrapp/#/search?searchId=606adb28b2c24a12eaba129d

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  1. https://worldreport.nih.gov/wrapp/#/search?searchId=606adb28b2c24a12eaba129d

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Acknowledgements

Elizabeth S. Vieira thanks FCT (Fundação para a Ciência e Tecnologia) for funding through program DL 57/2016 – Norma transitória (DL 57/2016/CP1346/CT0017). This work received financial support from PT national funds (FCT/MCTES, Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior) through the Project UIDB/50006/2020.

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Correspondence to Elizabeth S. Vieira.

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Vieira, E.S. International research collaboration in Africa: a bibliometric and thematic analysis. Scientometrics 127, 2747–2772 (2022). https://doi.org/10.1007/s11192-022-04349-y

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  • DOI: https://doi.org/10.1007/s11192-022-04349-y

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