Joke A. Badejo

600 total citations
55 papers, 328 citations indexed

About

Joke A. Badejo is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joke A. Badejo has authored 55 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 15 papers in Computer Networks and Communications and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joke A. Badejo's work include Face recognition and analysis (8 papers), Biometric Identification and Security (8 papers) and Network Security and Intrusion Detection (6 papers). Joke A. Badejo is often cited by papers focused on Face recognition and analysis (8 papers), Biometric Identification and Security (8 papers) and Network Security and Intrusion Detection (6 papers). Joke A. Badejo collaborates with scholars based in Nigeria, South Africa and United Kingdom. Joke A. Badejo's 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 and has published in prestigious journals such as IEEE Access, Materials Today Proceedings and Data in Brief.

In The Last Decade

Joke A. Badejo

51 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joke A. Badejo Nigeria 10 65 59 54 53 52 55 328
Abdul Samad Shibghatullah Malaysia 11 73 1.1× 63 1.1× 52 1.0× 55 1.0× 41 0.8× 97 417
Yoanes Bandung Indonesia 9 64 1.0× 91 1.5× 77 1.4× 54 1.0× 31 0.6× 95 345
Ciro Rodríguez Peru 11 77 1.2× 86 1.5× 95 1.8× 144 2.7× 48 0.9× 108 556
Raquel Trillo-Lado Spain 10 87 1.3× 101 1.7× 49 0.9× 74 1.4× 62 1.2× 24 300
Davar Pishva Japan 9 69 1.1× 105 1.8× 45 0.8× 64 1.2× 28 0.5× 40 268
Dimitrios Tsolis Greece 11 64 1.0× 99 1.7× 84 1.6× 113 2.1× 47 0.9× 61 420
Kailash Kumar India 11 95 1.5× 108 1.8× 36 0.7× 91 1.7× 54 1.0× 44 363
Muzaffar Hamzah Malaysia 9 59 0.9× 38 0.6× 29 0.5× 65 1.2× 31 0.6× 38 247
Timothy T. Adeliyi South Africa 8 59 0.9× 47 0.8× 18 0.3× 64 1.2× 39 0.8× 33 239
Fredrick Mtenzi Tanzania 11 214 3.3× 83 1.4× 53 1.0× 49 0.9× 97 1.9× 49 400

Countries citing papers authored by Joke A. Badejo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Ogunfunmi, Tokunbo, et al.. (2024). Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints. Journal of Electrical and Computer Engineering. 2024. 1–10. 1 indexed citations
3.
Adetiba, Emmanuel, et al.. (2023). SecFedIDM-V1: A Secure Federated Intrusion Detection Model With Blockchain and Deep Bidirectional Long Short-Term Memory Network. IEEE Access. 11. 116011–116025. 9 indexed citations
4.
Badejo, Joke A., et al.. (2023). Lung-Related Diseases Classification Using Deep Convolutional Neural Network. Mathematical Modelling and Engineering Problems. 10(4). 1097–1104. 3 indexed citations
5.
Adetiba, Emmanuel, et al.. (2023). Exploring Fusion of the Face and Voice Modalities Using CNN Features for a Better Performance. 1–6. 1 indexed citations
6.
Adetiba, Emmanuel, et al.. (2023). PalmMatchDB: An On-Device Contactless Palmprint Recognition Corpus. 12. 318–325. 2 indexed citations
7.
Okokpujie, Kennedy, et al.. (2022). Congestion Intrusion Detection-Based Method for Controller Area Network Bus: A Case for KIA SOUL Vehicle. Mathematical Modelling and Engineering Problems. 9(5). 1298–1304. 2 indexed citations
8.
Adetiba, Emmanuel, et al.. (2022). Contactless Palmprint Recognition System: A Survey. IEEE Access. 10. 132483–132505. 9 indexed citations
9.
Adetiba, Emmanuel, et al.. (2022). Monitoring and resource management taxonomy in interconnected cloud infrastructures: a survey. TELKOMNIKA (Telecommunication Computing Electronics and Control). 20(2). 279–279. 1 indexed citations
10.
Badejo, Joke A., et al.. (2022). A Brief Survey on the Experimental Application of MPQUIC Protocol in Data Communication. 1–8. 2 indexed citations
11.
Adetiba, Emmanuel, et al.. (2021). Evolution of Artificial Intelligence Programming Languages - a Systematic Literature Review. Journal of Computer Science. 17(11). 1157–1171. 6 indexed citations
12.
Adetiba, Emmanuel, et al.. (2021). LeafsnapNet: An Experimentally Evolved Deep Learning Model for Recognition of Plant Species based on Leafsnap Image Dataset. Journal of Computer Science. 17(3). 349–363. 11 indexed citations
13.
Badejo, Joke A., et al.. (2020). Identifying major civil engineering research influencers and topics using social network analysis. Cogent Engineering. 7(1). 1 indexed citations
14.
Badejo, Joke A., et al.. (2019). Survey of Periocular Recognition Techniques. Journal of Engineering Science and Technology Review. 12(5). 214–226. 7 indexed citations
15.
Odukoya, Jonathan A., et al.. (2018). The Predictive Validity of University Admission Examinations: Case Study of Nigerian Unified Tertiary Matriculation Examination. Covenant University Repository (Covenant University). 1 indexed citations
16.
Popoola, Segun I., et al.. (2018). Datasets on demographic trends in enrollment into undergraduate engineering programs at Covenant University, Nigeria. Data in Brief. 18. 47–59. 6 indexed citations
17.
Popoola, Segun I., et al.. (2018). Learning analytics for smart campus: Data on academic performances of engineering undergraduates in Nigerian private university. Data in Brief. 17. 76–94. 46 indexed citations
18.
Badejo, Joke A., et al.. (2018). Datasets linking ethnic perceptions to undergraduate students learning outcomes in a Nigerian Tertiary Institution. Data in Brief. 18. 760–764. 2 indexed citations
19.
Badejo, Joke A., et al.. (2018). The role of gender on academic performance in STEM-related disciplines: Data from a tertiary institution. Data in Brief. 18. 360–374. 10 indexed citations
20.
Popoola, Segun I., Aderemi A. Atayero, Nasir Faruk, & Joke A. Badejo. (2017). Data on the key performance indicators for quality of service of GSM networks in Nigeria. Data in Brief. 16. 914–928. 20 indexed citations

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.

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