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 John Canny sits on this spectrum.
This scientist: 319 publications — 77th percentile
77% 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 John Canny sits on this spectrum.
This scientist: 89 D-Index — 96th percentile
96% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
John Canny is affiliated with the University of California, Berkeley in the United States. Their research spans primarily the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Surgery, and Molecular Biology.
The main topics covered in their work include:
John Canny has contributed to a range of recent publications, with sample papers including:
Their frequent co-authors include:
John Canny has published extensively in venues such as:
In addition to journal and conference publications, John Canny has authored a book titled Artificial Intelligence for Human Computer Interaction: A Modern Approach, published in 2021 by Springer Nature.
John Canny's contributions have been recognized with the award of ACM Fellow in 2020, for work spanning robotics, machine perception, human-computer interaction, and ubiquitous computing.
John Canny
John F. Canny
John Canny
J. Canny
John Canny
John Canny;John Reif
M.C. Lin;J.F. Canny
John Canny
Roshan Rao;Nicholas Bhattacharya;Neil Thomas;Yan Duan
Bruce Donald;Patrick Xavier;John Canny;John Reif
Brian Mirtich;John Canny
John Canny
Z. Li;J. Canny
D. Manocha;J.F. Canny
Ming Chieh Lin;John F. Canny
Jinkyu Kim;John Canny
Roshan Rao;Nicholas Bhattacharya;Neil Thomas;Yan Duan
Z. Gigus;J. Canny;R. Seidel
Roshan Rao;Jason Liu;Robert Verkuil;Joshua Meier
John F. Canny;Ming C. Lin
P. Jacobs;J. Canny
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens the door to a diverse range of online degrees and professional pathways. Many students start with a least expensive online bachelor's degree to gain basic skills in technology, programming, or information systems, making education more accessible regardless of location.
For those seeking a technical edge, pursuing an engineer degree online can expand career options in fields such as software engineering, cybersecurity, or network administration. These programs offer flexibility and often cater to learners who are balancing work and study.
Advancement into leadership or management roles is possible with affordable affordable online executive mba programs, giving graduates a solid foundation in business strategy and executive decision-making.
Alternatively, those interested in technology's impact on information management can pursue a librarian degree online. This specialized path prepares graduates for careers in digital libraries, archives, and information science.
Each of these online pathways helps students gain valuable credentials that support both immediate employment and long-term career growth in the evolving tech landscape.
Tsinghua University
Loyola University Chicago
University of Bristol
Royal Belgian Institute for Space Aeronomy
Wayne State University
Clemson University
Pennsylvania State University
National Cheng Kung University
University of Oregon
University of Tsukuba
Hong Kong University of Science and Technology
National University of Malaysia
Technische Universität Braunschweig
Aix-Marseille University
University of Bristol
Purdue University West Lafayette
