Brian D. Ziebart
About
Brian D. Ziebart has authored 43 papers that have received a total of 1.6k indexed citations.
This includes 27 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 5 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (9 papers), Reinforcement Learning in Robotics (7 papers) and Adversarial Robustness in Machine Learning (7 papers). Brian D. Ziebart is often cited by papers focused on Machine Learning and Data Classification (9 papers), Reinforcement Learning in Robotics (7 papers) and Adversarial Robustness in Machine Learning (7 papers) and collaborates with scholars based in United States, Italy and Panama. Brian D. Ziebart's co-authors include Anind K. Dey, J. Andrew Bagnell, Anqi Liu, Ashkan Rezaei and Xiangli Chen and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Information Theory and Artificial Intelligence.
In The Last Decade
side by side view
Countries citing papers authored by Brian D. Ziebart
Since SpecializationCitations
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Sheeja Jagadevan Breakdown of academic impact, for papers by Johannes Lemke Breakdown of academic impact, for papers by Jungmo Kim Breakdown of academic impact, for papers by Ann Thurin‐Kjellberg Breakdown of academic impact, for papers by David W. Craft Breakdown of academic impact, for papers by M. G. Bos Breakdown of academic impact, for papers by Somchai Osuwan Breakdown of academic impact, for papers by Martina Kočan