The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Steven L. Waslander sits on this spectrum.
This scientist: 244 publications — 63rd percentile
63% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Steven L. Waslander sits on this spectrum.
This scientist: 41 D-Index — 31st percentile
31% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Steven L. Waslander is affiliated with the University of Toronto in Canada, contributing extensively to research in computer science and engineering. Their work spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, aerospace engineering, automotive engineering, and control and systems engineering.
The research topics explored by Waslander cover a wide range of areas such as robotics and sensor-based localization, advanced neural network applications, advanced vision and imaging, anomaly detection techniques and applications, autonomous vehicle technology and safety, video surveillance and tracking methods, and domain adaptation and few-shot learning.
Waslander has authored multiple papers published in notable venues. Some of the recent papers include:
Their frequent coauthors comprise individuals who have collaborated on multiple occasions, reflecting ongoing research partnerships. These coauthors include:
Waslander's publications have appeared in diverse venues, with a focus on journals and conferences in robotics, automation, and sensor systems. The most common venues where their work has been published are:
In terms of their disciplinary focus, the primary fields of study are computer science and engineering, underpinning their diverse research contributions across theoretical and applied domains.
Jason Ku;Melissa Mozifian;Jungwook Lee;Ali Harakeh
Gabriel M. Homann;Haomiao Huang;Steven L. Waslander;Claire J. Tomlin
Haomiao Huang;Gabriel M. Hoffmann;Steven L. Waslander;Claire J. Tomlin
G. Hoffmann;D.G. Rajnarayan;S.L. Waslander;D. Dostal
Mirmojtaba Gharibi;Raouf Boutaba;Steven L. Waslander
Gabriel Hoffmann;Steven Waslander;Claire Tomlin
S.L. Waslander;G.M. Hoffmann;Jung Soon Jang;C.J. Tomlin
Gabriel M. Hoffmann;Haomiao Huang;Steven L. Waslander;Claire J. Tomlin
Neil Mathew;Stephen L. Smith;Steven L. Waslander
Jason Ku;Alex D. Pon;Steven L. Waslander
Cody Reading;Ali Harakeh;Julia Chae;Steven L. Waslander
Jason Ku;Ali Harakeh;Steven L. Waslander
Di Feng;Ali Harakeh;Steven L. Waslander;Klaus Dietmayer
Steven L. Waslander;Carlos Wang
Neil Mathew;Stephen L. Smith;Steven L. Waslander
Nicholas Charron;Stephen Phillips;Steven L. Waslander
Matthew Pitropov;Danson Evan Garcia;Jason Rebello;Michael Smart
Yu Zhang;Huiyan Chen;Steven L. Waslander;Jianwei Gong
Qi Chen;Qi Chen;Lei Wang;Yifan Wu;Guangming Wu
Jason Ku;Melissa Mozifian;Jungwook Lee;Ali Harakeh
John M. Daly;Yan Ma;Steven L. Waslander
Michael Vitus;Vijay Pradeep;Gabriel Hoffmann;Steven Waslander
Ali Harakeh;Michael Smart;Steven L. Waslander
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