Babajide O. Ayinde
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Topics
- Neural Networks and Applications (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)Energy Efficient Wireless Sensor Networks (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- United StatesSaudi ArabiaTunisia
In The Last Decade
Babajide O. Ayinde
15 papers receiving 331 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 117
- Electrical and Electronic Engineering 91
- Computer Networks and Communications 90
- Control and Systems Engineering 26
Countries citing papers authored by Babajide O. Ayinde
This map shows the geographic impact of Babajide O. Ayinde'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 Babajide O. Ayinde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Babajide O. Ayinde more than expected).
Fields of papers citing papers by Babajide O. Ayinde
This network shows the impact of papers produced by Babajide O. Ayinde. 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 Babajide O. Ayinde. The network helps show where Babajide O. Ayinde may publish in the future.
Co-authorship network of co-authors of Babajide O. Ayinde
This figure shows the co-authorship network connecting the top 25 collaborators of Babajide O. Ayinde. A scholar is included among the top collaborators of Babajide O. Ayinde 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 Babajide O. Ayinde. Babajide O. Ayinde 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 | 9 | |
| 3 | 3 | |
| 4 | 50 | |
| 5 | 67 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 9 | |
| 10 | 34 | |
| 11 | 21 | |
| 12 | 3 | |
| 13 | 94 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 7 |
About Babajide O. Ayinde
Babajide O. Ayinde is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 17 papers that have together received 335 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (117 citations), Computer Networks and Communications (90 citations) and Artificial Intelligence (123 citations). Babajide O. Ayinde has collaborated with scholars based in United States, Saudi Arabia and Tunisia. Frequent co-authors include Jacek M. Żurada, Tamer Inanc, Hashim A. Hashim, M. A. Abido, Rui Guo, Hao Sun, Jie Yang, Zhigang Dong, Kentaro Oguchi and Ö. Tüzün. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.
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.