Kehinde Aruleba

22 papers and 413 indexed citations i.

About

Kehinde Aruleba is a scholar working on Artificial Intelligence, Information Systems and Education. According to data from OpenAlex, Kehinde Aruleba has authored 22 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Education. Recurrent topics in Kehinde Aruleba’s work include Online Learning and Analytics (3 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare (3 papers). Kehinde Aruleba is often cited by papers focused on Online Learning and Analytics (3 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare (3 papers). Kehinde Aruleba collaborates with scholars based in South Africa, United Kingdom and United States. Kehinde Aruleba's co-authors include George Obaido, Ibomoiye Domor Mienye, Nobert Jere, Ismaila Temitayo Sanusi, Owolabi Paul Adelana, Solomon Sunday Oyelere, Musa Adekunle Ayanwale, Theo G. Swart, Ebenezer Esenogho and Tayo Alex Adekiya and has published in prestigious journals such as IEEE Access, Applied Sciences and Mathematical Biosciences & Engineering.

In The Last Decade

Co-authorship network of co-authors of Kehinde Aruleba i

Fields of papers citing papers by Kehinde Aruleba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kehinde Aruleba. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kehinde Aruleba. The network helps show where Kehinde Aruleba may publish in the future.

Countries citing papers authored by Kehinde Aruleba

Since Specialization
Citations

This map shows the geographic impact of Kehinde Aruleba's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kehinde Aruleba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kehinde Aruleba more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025