Danijar Hafner
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
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- Robot Manipulation and Learning
Papers in
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- Adversarial Robustness in Machine Learning 3
- Domain Adaptation and Few-Shot Learning 3
- Reinforcement Learning in Robotics 2
- Machine Learning and Data Classification 2
- Artificial Intelligence in Games 1
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- Multimodal Machine Learning Applications 2
- Human Pose and Action Recognition 2
- Co-authors
- Steven Bohez (1 shared paper)Erwin Coumans (1 shared paper)Tingnan Zhang (1 shared paper)Atıl Işçen (1 shared paper)Jie Tan (1 shared paper)Yunfei Bai (1 shared paper)Vincent Vanhoucke (1 shared paper)Timothy Lillicrap (4 shared papers)
- Journals
- Australian Journal of Politics & History (1 paper)Nature (1 paper)Neural Computation (1 paper)AI Communications (1 paper)Uncertainty in Artificial Intelligence (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Danijar Hafner
16 papers receiving 615 citations
Danijar Hafner's Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 304
- Control and Systems Engineering 197
- Computer Vision and Pattern Recognition 137
- Biomedical Engineering 210
- Automotive Engineering 43
Countries citing papers authored by Danijar Hafner
This map shows the geographic impact of Danijar Hafner'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 Danijar Hafner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danijar Hafner more than expected).
Fields of papers citing papers by Danijar Hafner
This network shows the impact of papers produced by Danijar Hafner. 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 Danijar Hafner. The network helps show where Danijar Hafner may publish in the future.
Co-authors
The 25 scholars most cited alongside Danijar Hafner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Hit paper breakdown → | 2018 | 395 |
| 2 | 2018 | 99 | |
| 3 | 2021 | 59 | |
| 4 | Mastering diverse control tasks through world models Hit paper breakdown → | 2025 | 22 |
| 5 | Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors | 2018 | 13 |
| 6 | Bayesian Layers: A Module for Neural Network Uncertainty | 2019 | 12 |
| 7 | Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion | 2018 | 10 |
| 8 | 2019 | 7 | |
| 9 | 2016 | 5 | |
| 10 | Noise Contrastive Priors for Functional Uncertainty | 2018 | 4 |
| 11 | 1980 | 3 | |
| 12 | TensorFlow for machine intelligence | 2016 | 3 |
| 13 | 2021 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2022 | 0 |
About Danijar Hafner
Danijar Hafner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Transportation and Building and Construction, having authored 17 papers that have together received 638 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (2 papers), Smart Parking Systems Research (2 papers), Reinforcement Learning in Robotics (2 papers), Machine Learning and Data Classification (2 papers), Human Pose and Action Recognition (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Artificial Intelligence (304 citations), Control and Systems Engineering (197 citations), Computer Vision and Pattern Recognition (137 citations), Biomedical Engineering (210 citations) and Automotive Engineering (43 citations). Danijar Hafner has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Steven Bohez, Erwin Coumans, Tingnan Zhang, Atıl Işçen, Jie Tan, Yunfei Bai, Vincent Vanhoucke, Timothy Lillicrap, James Davidson and Honglak Lee. Their work appears in journals such as Australian Journal of Politics & History, Nature, Neural Computation, AI Communications and Uncertainty in Artificial Intelligence.
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.