Bayode Ogunleye
Impact in
- Information Systems top 5%
- Artificial Intelligence in Education
Papers in
-
- Sentiment Analysis and Opinion Mining 2
- Topic Modeling 2
- Advanced Clustering Algorithms Research 1
-
- Financial Distress and Bankruptcy Prediction 2
- Co-authors
- Hemlata Sharma (6 shared papers)Oluwaseun Ajao (4 shared papers)Olamilekan Shobayo (6 shared papers)Bárbara S. Lancho-Barrantes (1 shared paper)Modupe Odusami (1 shared paper)Laurence J Hirsch (1 shared paper)Robin Hirsch (1 shared paper)
- Journals
- Big Data and Cognitive Computing (2 papers)Artificial Intelligence Review (1 paper)Applied Sciences (1 paper)Evolutionary Intelligence (1 paper)Mathematics (2 papers)
- Partner nations
- United KingdomLithuania
In The Last Decade
Bayode Ogunleye
15 papers receiving 320 citations
Bayode Ogunleye's Hit Papers
Peers
Comparison fields: 5 of 57
- Information Systems 125
- Health Informatics 7
- Artificial Intelligence 96
- Marketing 24
- General Social Sciences 10
Countries citing papers authored by Bayode Ogunleye
This map shows the geographic impact of Bayode Ogunleye'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 Bayode Ogunleye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bayode Ogunleye more than expected).
Fields of papers citing papers by Bayode Ogunleye
This network shows the impact of papers produced by Bayode Ogunleye. 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 Bayode Ogunleye. The network helps show where Bayode Ogunleye may publish in the future.
Co-authors
The 7 scholars most cited alongside Bayode Ogunleye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Systematic Review of Generative AI for Teaching and Learning Practice Hit paper breakdown → | 2024 | 112 |
| 2 | 2023 | 39 | |
| 3 | 2023 | 30 | |
| 4 | 2023 | 26 | |
| 5 | 2024 | 25 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 18 | |
| 8 | 2025 | 16 | |
| 9 | 2023 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Bayode Ogunleye
Bayode Ogunleye is a scholar working on Artificial Intelligence, Accounting, Information Systems, Management Science and Operations Research and General Social Sciences, having authored 17 papers that have together received 338 indexed citations. Recurring topics across this work include Artificial Intelligence in Education (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Topic Modeling (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Stock Market Forecasting Methods (2 papers), Housing Market and Economics (1 paper), Banking stability, regulation, efficiency (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Information Systems (125 citations), Health Informatics (7 citations), Artificial Intelligence (96 citations), Marketing (24 citations) and General Social Sciences (10 citations). Bayode Ogunleye has collaborated with scholars based in United Kingdom and Lithuania. Frequent co-authors include Hemlata Sharma, Oluwaseun Ajao, Olamilekan Shobayo, Bárbara S. Lancho-Barrantes, Modupe Odusami, Laurence J Hirsch and Robin Hirsch. Their work appears in journals such as Big Data and Cognitive Computing, Artificial Intelligence Review, Applied Sciences, Evolutionary Intelligence and Mathematics.
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.