Musa Adekunle Ayanwale

1.6k total citations · 4 hit papers
74 papers, 908 citations indexed

About

Musa Adekunle Ayanwale is a scholar working on Education, Computer Science Applications and Information Systems. According to data from OpenAlex, Musa Adekunle Ayanwale has authored 74 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Education, 23 papers in Computer Science Applications and 15 papers in Information Systems. Recurrent topics in Musa Adekunle Ayanwale's work include Online Learning and Analytics (18 papers), Technology-Enhanced Education Studies (15 papers) and Technology Adoption and User Behaviour (9 papers). Musa Adekunle Ayanwale is often cited by papers focused on Online Learning and Analytics (18 papers), Technology-Enhanced Education Studies (15 papers) and Technology Adoption and User Behaviour (9 papers). Musa Adekunle Ayanwale collaborates with scholars based in South Africa, Nigeria and Lesotho. Musa Adekunle Ayanwale's co-authors include Ismaila Temitayo Sanusi, Owolabi Paul Adelana, Mdutshekelwa Ndlovu, Solomon Sunday Oyelere, Kehinde Aruleba, Thomas K. F. Chiu, Habeeb Omoponle Adewuyi, Peter Oyelere, Sunday Adewale Olaleye and Friday Joseph Agbo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sustainability.

In The Last Decade

Musa Adekunle Ayanwale

62 papers receiving 849 citations

Hit Papers

Teachers’ readiness and intention to teach artificial int... 2022 2026 2023 2024 2022 2024 2024 2024 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Musa Adekunle Ayanwale South Africa 15 362 290 255 220 154 74 908
Nagaletchimee Annamalai Malaysia 16 195 0.5× 281 1.0× 222 0.9× 252 1.1× 203 1.3× 71 902
Konstantinos Lavidas Greece 17 175 0.5× 445 1.5× 300 1.2× 198 0.9× 247 1.6× 57 1.1k
Miaoting Cheng China 11 285 0.8× 199 0.7× 170 0.7× 227 1.0× 121 0.8× 22 815
İsmail Çelik Finland 13 564 1.6× 431 1.5× 328 1.3× 299 1.4× 92 0.6× 46 1.3k
Juliana Elisa Raffaghelli Italy 14 301 0.8× 326 1.1× 249 1.0× 84 0.4× 105 0.7× 85 798
Andy Nguyen Finland 12 471 1.3× 249 0.9× 224 0.9× 275 1.3× 56 0.4× 48 1.1k
Ştefan Popenici Australia 8 430 1.2× 239 0.8× 218 0.9× 306 1.4× 48 0.3× 17 1.0k
Nour Awni Albelbisi Malaysia 15 264 0.7× 384 1.3× 235 0.9× 170 0.8× 324 2.1× 22 981
Francesc Pedró France 11 312 0.9× 329 1.1× 327 1.3× 130 0.6× 33 0.2× 31 876
Mohammadreza Farrokhnia Netherlands 11 370 1.0× 339 1.2× 218 0.9× 300 1.4× 62 0.4× 20 1.2k

Countries citing papers authored by Musa Adekunle Ayanwale

Since Specialization
Citations

This map shows the geographic impact of Musa Adekunle Ayanwale'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 Musa Adekunle Ayanwale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Musa Adekunle Ayanwale more than expected).

Fields of papers citing papers by Musa Adekunle Ayanwale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Musa Adekunle Ayanwale. 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 Musa Adekunle Ayanwale. The network helps show where Musa Adekunle Ayanwale may publish in the future.

Co-authorship network of co-authors of Musa Adekunle Ayanwale

This figure shows the co-authorship network connecting the top 25 collaborators of Musa Adekunle Ayanwale. A scholar is included among the top collaborators of Musa Adekunle Ayanwale based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Musa Adekunle Ayanwale. Musa Adekunle Ayanwale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Ayanwale, Musa Adekunle, et al.. (2025). Assessment of content and cognitive dimensions of learners' mathematics performance. 5(3). 383–400.
4.
Ayanwale, Musa Adekunle, et al.. (2025). Fostering programming skill and critical thinking through AI-assisted PBL integration. Journal of New Approaches in Educational Research. 14(1).
5.
Ayanwale, Musa Adekunle, et al.. (2025). Quantifying teachers’ readiness for artificial intelligence adoption in education: a mathematical modeling perspective. Scientific Reports. 15(1). 26043–26043.
7.
Adelana, Owolabi Paul, Musa Adekunle Ayanwale, & Ismaila Temitayo Sanusi. (2024). Exploring pre-service biology teachers’ intention to teach genetics using an AI intelligent tutoring - based system. Cogent Education. 11(1). 27 indexed citations
8.
Ezeuduji, Ikechukwu O., et al.. (2024). Modelling Selected Internal Factors Influencing Tourism-related Entrepreneurship Business Success in South Africa. African Journal of Business and Economic Research. 19(2). 431–455.
9.
Sanusi, Ismaila Temitayo, et al.. (2024). Young children’s conceptions of computing in an African setting. Computer Science Education. 35(2). 378–413. 8 indexed citations
10.
Ayanwale, Musa Adekunle, et al.. (2024). Multidimensional item Response Theory Calibration of Dichotomous Response Structure Using R Language for Statistical Computing. Interchange. 55(1). 137–157. 1 indexed citations
11.
Ayanwale, Musa Adekunle, et al.. (2024). Transforming classrooms: How professional development and teacher attitudes drive primary school teaching effectiveness. SHILAP Revista de lepidopterología. 10. 101099–101099. 2 indexed citations
12.
Ayanwale, Musa Adekunle, et al.. (2023). Learning through radio and television during COVID-19: perspectives of K-12 stakeholders. EUREKA Social and Humanities. 61–72. 7 indexed citations
13.
Ayanwale, Musa Adekunle, et al.. (2023). A Structural Equation Approach and Modelling of Pre-service Teachers' Perspectives of Cybersecurity Education. Education and Information Technologies. 29(3). 3699–3727. 10 indexed citations
14.
Ayanwale, Musa Adekunle, et al.. (2023). The use of measurement frameworks to explore the qualities of test items. International Journal of Evaluation and Research in Education (IJERE). 12(2). 914–914. 4 indexed citations
15.
Ayanwale, Musa Adekunle, et al.. (2023). Using composite structural equation modeling to examine high school teachers' acceptance of E-learning after Covid-19. New Trends and Issues Proceedings on Humanities and Social Sciences. 10(1). 1–11. 17 indexed citations
16.
Sanusi, Ismaila Temitayo, Musa Adekunle Ayanwale, & Thomas K. F. Chiu. (2023). Investigating the moderating effects of social good and confidence on teachers' intention to prepare school students for artificial intelligence education. Education and Information Technologies. 29(1). 273–295. 41 indexed citations
17.
Ayanwale, Musa Adekunle. (2023). Test score equating of multiple-choice mathematics items: techniques from characteristic curve of modern psychometric theory. SHILAP Revista de lepidopterología. 2(1). 3 indexed citations
18.
Ayanwale, Musa Adekunle, et al.. (2023). Incorporating Blended Learning to Improve Reading in English Language as a Foreign Language in Lesotho. 261–272. 1 indexed citations
19.
Ayanwale, Musa Adekunle, et al.. (2020). Efficacy of Item Response Theory in the Validation and Score Ranking of Dichotomous Response Mathematics Achievement Test. SHILAP Revista de lepidopterología. 7 indexed citations
20.
Ayanwale, Musa Adekunle, et al.. (2019). Invariance Person Estimate of Basic Education Certificate Examination: Classical Test Theory and Item Response Theory Scoring Perspective.. 23(1). 18–26. 6 indexed citations

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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