The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Philip Ogunbona sits on this spectrum.
This scientist: 171 publications — 35th percentile
35% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Philip Ogunbona sits on this spectrum.
This scientist: 38 D-Index — 30th percentile
30% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Philip Ogunbona is affiliated with the University of Wollongong in Australia. Their research spans multiple disciplines, including computer science, medicine, and engineering, with a strong focus on artificial intelligence and biomedical engineering.
Their work concentrates on various subfields such as artificial intelligence, biomedical engineering, radiology, nuclear medicine and imaging, computer vision and pattern recognition, and ophthalmology. Main research topics include gait recognition and analysis, human pose and action recognition, anomaly detection techniques and applications, domain adaptation and few-shot learning, EEG and brain-computer interfaces, epilepsy research and treatment, and optical imaging and spectroscopy techniques.
Philip Ogunbona has contributed to multiple publications, including these recent papers:
Their frequent coauthors include Wanqing Li, Jie Yang, Kayode P. Ayodele, Morenikeji Komolafe, and Shanaka Ramesh Gunasekara.
Philip Ogunbona has published in venues such as arXiv (Cornell University), Computers in Biology and Medicine, IEEE Access, Expert Systems with Applications, and IEEE Transactions on Circuits and Systems for Video Technology.
Jing Zhang;Wanqing Li;Philip Ogunbona
Jing Zhang;Zewei Ding;Wanqing Li;Philip Ogunbona
Pichao Wang;Wanqing Li;Philip O Ogunbona;Jun Wan
Pichao Wang;Wanqing Li;Zhimin Gao;Jing Zhang
Jing Zhang;Wanqing Li;Philip O. Ogunbona;Pichao Wang
Duc Thanh Nguyen;Wanqing Li;Philip O. Ogunbona
Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang
R. Kakarala;P.O. Ogunbona
Minh Hieu Phan;Philip O. Ogunbona
Pichao Wang;Wanqing Li;Zhimin Gao;Yuyao Zhang
Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang
Pichao Wang;Wanqing Li;Jun Wan;Philip Ogunbona
Pichao Wang;Wanqing Li;Song Liu;Zhimin Gao
Liju Dong;Ge Yu;Philip Ogunbona;Wanqing Li
Lijuan Zhou;Wanqing Li;Yuyao Zhang;Philip Ogunbona
Nicholas Paul Sheppard;Reihaneh Safavi-Naini;Philip Ogunbona
Duc Thanh Nguyen;Zhimin Zong;Philip Ogunbona;Wanqing Li
Jing Zhang;Wanqing Li;Philip Ogunbona;Dong Xu
Zewei Ding;Pichao Wang;Philip O. Ogunbona;Wanqing Li
Hongda Tian;Wanqing Li;Philip O. Ogunbona;Lei Wang
Pichao Wang;Wanqing Li;Zhimin Gao;Chang Tang
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Exploring Computer Science in the USA opens doors to a wide range of related online degrees and career pathways. For those interested in broadening their expertise, consider pursuing an online bachelor’s in electrical engineering. This program complements computer science by focusing on hardware, embedded systems, and emerging technologies.
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For those seeking advanced qualifications, many universities offer flexible online options. Some of the shortest master degree programs allow professionals to complete graduate studies in one year or less.
If you’re considering which direction to take, the most in demand masters degrees focus on fields such as computer science, artificial intelligence, and business analytics. These specializations offer strong job prospects and high salaries, ensuring a rewarding career in today’s tech-driven economy.
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