Computer Science Research in Nigeria from 1991-2021: A Bibliometric Analysis

• Temidayo Oluwatosin Omotehinwa

  Federal University of Health Sciences, Otukpo, P.M.B. 145, Nigeria

  Author

  https://orcid.org/0000-0002-5300-6743

• Friday Joseph Agbo

  Computing and Data Science, Willamette University, Salem OR, USA

  Author

  https://orcid.org/0000-0002-9171-7175

• David Opeoluwa Oyewola

  Federal University Kashere, Gombe P.M.B. 0182, Nigeria

  Author

  https://orcid.org/0000-0001-9638-8764

The Computer Science research landscape in Nigeria has not received substantial attention tailored toward analyzing the performance of research constituents, and conceptual, social, and intellectual structures. Prior studies have looked at the history of Computer Science in Nigeria without examining some key development indexes such as conceptual evolution and funding. This study aims to gather a proper perspective of the development landscape of Computer Science research in Nigeria. Therefore, a bibliometric analysis of 4,333 bibliographic records of Computer Science research in Nigeria from 1991 to 2021 was carried out. The bibliographic data were extracted from the Scopus database and analyzed using VOSviewer and the bibliometrix R package through the biblioshiny web interface. The findings of this study revealed that Computer Science research in Nigeria has a growth rate of 24.19%. The most developed and well-studied research areas in the Computer Science field in Nigeria are machine learning, data mining, and deep learning. The social structure analysis result revealed that there is a need for improved international collaborations. The funding analysis result showed that Computer Science research in Nigeria is under-funded. The findings of this study will be useful for researchers conducting Computer Science related research.

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