Brian D. Ziebart
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
- Transportation top 2%
- Human Mobility and Location-Based Analysis
Papers in
-
- Adversarial Robustness in Machine Learning 10
- Reinforcement Learning in Robotics 9
- Machine Learning and Data Classification 8
- Machine Learning and Algorithms 8
- Bayesian Modeling and Causal Inference 6
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- Human Pose and Action Recognition 4
- Context-Aware Activity Recognition Systems 4
- Co-authors
- Anind K. Dey (11 shared papers)J. Andrew Bagnell (10 shared papers)Andrew L. Maas (3 shared papers)Anqi Liu (7 shared papers)Martial Hebert (2 shared papers)Siddhartha S Srinivasa (2 shared papers)Kevin Peterson (2 shared papers)Nathan Ratliff (2 shared papers)
- Journals
- Scientific Reports (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Journal of Intelligent Manufacturing (1 paper)Artificial Intelligence (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Brian D. Ziebart
60 papers receiving 2.0k citations
Brian D. Ziebart's Hit Papers
Peers
Comparison fields: 5 of 130
- Automotive Engineering 399
- Transportation 218
- Artificial Intelligence 923
- Computer Vision and Pattern Recognition 532
- Human-Computer Interaction 127
Countries citing papers authored by Brian D. Ziebart
This map shows the geographic impact of Brian D. Ziebart's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian D. Ziebart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Ziebart more than expected).
Fields of papers citing papers by Brian D. Ziebart
This network shows the impact of papers produced by Brian D. Ziebart. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian D. Ziebart. The network helps show where Brian D. Ziebart may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Ziebart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Maximum Entropy Inverse Reinforcement Learning Hit paper breakdown → | 2018 | 795 |
| 2 | 2009 | 301 | |
| 3 | 2008 | 196 | |
| 4 | 2018 | 63 | |
| 5 | 2012 | 61 | |
| 6 | 2020 | 60 | |
| 7 | 2013 | 59 | |
| 8 | 2016 | 43 | |
| 9 | 2013 | 36 | |
| 10 | Robust Classification Under Sample Selection Bias | 2014 | 35 |
| 11 | 2011 | 33 | |
| 12 | 2015 | 32 | |
| 13 | Human Behavior Modeling with Maximum Entropy Inverse Optimal Control | 2009 | 31 |
| 14 | 2005 | 24 | |
| 15 | 2014 | 22 | |
| 16 | 2005 | 21 | |
| 17 | 2015 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2017 | 15 | |
| 20 | 2004 | 15 |
About Brian D. Ziebart
Brian D. Ziebart is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction and Management Science and Operations Research, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (10 papers), Reinforcement Learning in Robotics (9 papers), Machine Learning and Data Classification (8 papers), Robot Manipulation and Learning (8 papers), Machine Learning and Algorithms (8 papers), Bayesian Modeling and Causal Inference (6 papers), Human Pose and Action Recognition (4 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Automotive Engineering (399 citations), Transportation (218 citations), Artificial Intelligence (923 citations), Computer Vision and Pattern Recognition (532 citations) and Human-Computer Interaction (127 citations). Brian D. Ziebart has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Anind K. Dey, J. Andrew Bagnell, Andrew L. Maas, Anqi Liu, Martial Hebert, Siddhartha S Srinivasa, Kevin Peterson, Nathan Ratliff, Christoph Mertz and Garratt Gallagher. Their work appears in journals such as Scientific Reports, Transactions of the Association for Computational Linguistics, Journal of Intelligent Manufacturing, Artificial Intelligence and Journal of Machine Learning Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.