Bayode Ogunleye
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 3
- Topic Modeling 2
- Finance 3
- Financial Markets and Investment Strategies 2
- Co-authors
- Hemlata Sharma (6 shared papers)Oluwaseun Ajao (3 shared papers)Olamilekan Shobayo (6 shared papers)Laurence Hirsch (3 shared papers)Modupe Odusami (1 shared paper)Bárbara S. Lancho-Barrantes (1 shared paper)Robin Hirsch (1 shared paper)
- Journals
- Big Data and Cognitive Computing (2 papers)Artificial Intelligence Review (1 paper)Evolutionary Intelligence (1 paper)Applied Sciences (1 paper)Mathematics (2 papers)
- Partner nations
- United KingdomLithuania
In The Last Decade
Bayode Ogunleye
15 papers receiving 232 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 29
- Computer Science Applications 42
- General Social Sciences 9
- Artificial Intelligence 76
- Marketing 20
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 | 2024 | 78 | |
| 2 | 2023 | 33 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 20 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2025 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 0 |
About Bayode Ogunleye
Bayode Ogunleye is a scholar working on Artificial Intelligence, Finance, Electrical and Electronic Engineering, Social Psychology and Health Informatics, having authored 16 papers that have together received 243 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (3 papers), Financial Markets and Investment Strategies (2 papers), Energy Load and Power Forecasting (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Stock Market Forecasting Methods (2 papers), Topic Modeling (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (29 citations), Computer Science Applications (42 citations), General Social Sciences (9 citations), Artificial Intelligence (76 citations) and Marketing (20 citations). Bayode Ogunleye has collaborated with scholars based in United Kingdom and Lithuania. Frequent co-authors include Hemlata Sharma, Oluwaseun Ajao, Olamilekan Shobayo, Laurence Hirsch, Modupe Odusami, Bárbara S. Lancho-Barrantes and Robin Hirsch. Their work appears in journals such as Big Data and Cognitive Computing, Artificial Intelligence Review, Evolutionary Intelligence, Applied Sciences 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.