Kehinde Aruleba
- Artificial Intelligence top 5%
- Computer Science Applications top 2%
- Information Systems top 5%
- Accounting top 10%
- Education top 10%
- Co-authors
- George ObaidoIbomoiye Domor MienyeNobert JereSolomon Sunday OyelereIsmaila Temitayo SanusiMusa Adekunle AyanwaleOwolabi Paul AdelanaTheo G. Swart
- Topics
- Online Learning and Analytics (4 papers)Machine Learning in Healthcare (3 papers)Technology-Enhanced Education Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Sciences
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Kehinde Aruleba
23 papers receiving 685 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 311
- Computer Science Applications 128
- Information Systems 120
- Accounting 99
- Education 82
Countries citing papers authored by Kehinde Aruleba
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).
Fields of papers citing papers by Kehinde Aruleba
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.
Co-authorship network of co-authors of Kehinde Aruleba
This figure shows the co-authorship network connecting the top 25 collaborators of Kehinde Aruleba. A scholar is included among the top collaborators of Kehinde Aruleba 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 Kehinde Aruleba. Kehinde Aruleba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 45 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 22 | |
| 9 | 36 | |
| 10 | 0 | |
| 11 | 35 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detectionbreakdown → | 171 |
| 15 | 27 | |
| 16 | Automatic Attendance Capturing Using Histogram of Oriented Gradients on Facial Images | 1 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 7 |
About Kehinde Aruleba
Kehinde Aruleba is a scholar working on Health Informatics, Health Information Management and Computer Science Applications, having authored 28 papers that have together received 729 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Machine Learning in Healthcare (3 papers) and Technology-Enhanced Education Studies (3 papers). The work is most often cited by research in Health Informatics (39 citations), Computer Science Applications (128 citations) and Health Information Management (63 citations). Kehinde Aruleba has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include George Obaido, Ibomoiye Domor Mienye, Nobert Jere, Solomon Sunday Oyelere, Ismaila Temitayo Sanusi, Musa Adekunle Ayanwale, Owolabi Paul Adelana, Theo G. Swart, Ebenezer Esenogho and Blessing Ogbuokiri. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.
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.