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 Rabab K. Ward sits on this spectrum.
This scientist: 567 publications — 95th percentile
95% 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 Rabab K. Ward sits on this spectrum.
This scientist: 75 D-Index — 90th percentile
90% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Rabab K. Ward is affiliated with the University of British Columbia in Canada and has made contributions across various domains, primarily focusing on computer science. Their research spans several subfields, with substantial work in computer vision and pattern recognition, artificial intelligence, cardiology and cardiovascular medicine, biomedical engineering, and cognitive neuroscience.
The scientist's recent publications cover diverse topics including medical monitoring, deep learning, and neural network applications. Notable papers include:
Frequent co-authors in their collaborations include:
The scientist's contributions have been published in a range of venues, especially those related to engineering and technology, such as:
Main areas of study for Rabab K. Ward encompass computer science with a strong focus on topics including:
Throughout their career, Rabab K. Ward has received recognition from professional societies. Awards include being named a Member of the National Academy of Engineering in 2020 for contributions involving signal processing in industrial and bioengineering applications.
Additional honors comprise election as a Fellow of the Royal Society of Canada and IEEE Fellow status, both awarded in 1999, recognizing contributions to digital signal processing in television and medical imaging. The scientist is also affiliated with the Canadian Academy of Engineering.
Ali Bashashati;Mehrdad Fatourechi;Rabab K Ward;Gary E Birch;Gary E Birch
Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao
Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang
Mehrdad Fatourechi;Ali Bashashati;Rabab K. Ward;Gary E. Birch;Gary E. Birch
Yu Liu;Xun Chen;Xun Chen;Zengfu Wang;Z. Jane Wang
Qing Wang;R.K. Ward
Mohamed Elgendi;Richard Fletcher;Yongbo Liang;Newton Howard
T. Guha;R. K. Ward
Steven S.S. Poon;Uwe M. Martens;Rabab K. Ward;Peter M. Lansdorp;Peter M. Lansdorp
Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang
Ying Luo;R.K. Ward
Shan Du;R. Ward
Ramy Hussein;Hamid Palangi;Rabab K. Ward;Z. Jane Wang
Qing Wang;R.K. Ward
Yongbo Liang;Mohamed Elgendi;Zhencheng Chen;Rabab Ward
M M Esmaeili;M Fatourechi;R K Ward
Xun Chen;Juan Cheng;Rencheng Song;Yu Liu
Zicong Mai;H Mansour;R Mantiuk;P Nasiopoulos
M. Ahmed;R. Ward
K. Ersahin;I.G. Cumming;R.K. Ward
F. Kossentini;Yuen-Wen Lee;M.J.T. Smith;R.K. Ward
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens the door to a wide range of related online degrees and career opportunities. Many fields—including engineering, data science, and physics—overlap with computer science, allowing students to expand their skill set and boost employability.
If you're interested in engineering, there are online mechanical engineering degrees that provide a solid foundation in both mechanics and programming principles. For those fascinated by the physical world and computational modeling, pursuing the best online physics degree can be a rewarding path.
Data science is another fast-growing field that attracts many computer science students. Explore affordable data science degrees available online for flexible learning and career advancement. Additionally, a technical boost in your resume can be gained with an online master’s in electrical engineering degree.
Each of these options offers unique career pathways, and many programs are structured to fit around busy lifestyles, making them ideal for students balancing work and study.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 28
KLA (United States)
Polytechnic University of Turin
Friedrich Miescher Institute
Leibniz Association
Utrecht University
Universiti Malaysia Pahang
University of Toronto
Sorbonne University
Pennsylvania State University
Santa Clara University
Graz University of Technology
Carnegie Mellon University
University of Pittsburgh
Weizmann Institute of Science
University of California, San Diego
University of Amsterdam