Joke A. Badejo
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Aderemi A. AtayeroSegun I. PopoolaEmmanuel AdetibaJonathan A. OdukoyaDavid O. OmoleKennedy OkokpujieNasir FarukEtinosa Noma‐Osaghae
- Topics
- Face recognition and analysis (8 papers)Biometric Identification and Security (8 papers)Network Security and Intrusion Detection (6 papers)
- Partner nations
- NigeriaSouth AfricaUnited Kingdom
In The Last Decade
Joke A. Badejo
51 papers receiving 314 citations
Peers
Comparison fields: 5 of 85
- Computer Networks and Communications 65
- Information Systems 59
- Computer Vision and Pattern Recognition 54
- Artificial Intelligence 53
- Electrical and Electronic Engineering 52
Countries citing papers authored by Joke A. Badejo
This map shows the geographic impact of Joke A. Badejo'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 Joke A. Badejo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joke A. Badejo more than expected).
Fields of papers citing papers by Joke A. Badejo
This network shows the impact of papers produced by Joke A. Badejo. 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 Joke A. Badejo. The network helps show where Joke A. Badejo may publish in the future.
Co-authorship network of co-authors of Joke A. Badejo
This figure shows the co-authorship network connecting the top 25 collaborators of Joke A. Badejo. A scholar is included among the top collaborators of Joke A. Badejo 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 Joke A. Badejo. Joke A. Badejo 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 | 1 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | The Predictive Validity of University Admission Examinations: Case Study of Nigerian Unified Tertiary Matriculation Examination | 1 |
| 16 | 6 | |
| 17 | 46 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 20 |
About Joke A. Badejo
Joke A. Badejo is a scholar working on Signal Processing, Health Informatics and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 328 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Biometric Identification and Security (8 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Computer Science Applications (28 citations), Signal Processing (48 citations) and Media Technology (27 citations). Joke A. Badejo has collaborated with scholars based in Nigeria, South Africa and United Kingdom. Frequent co-authors include Aderemi A. Atayero, Segun I. Popoola, Emmanuel Adetiba, Jonathan A. Odukoya, David O. Omole, Kennedy Okokpujie, Nasir Faruk, Etinosa Noma‐Osaghae, Ezekiel Adebiyi and Samuel John. Their work appears in journals such as IEEE Access, Materials Today Proceedings and Data in Brief.
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.