Dipendra Misra
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- AI-based Problem Solving and Planning
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 4
- Reinforcement Learning in Robotics 2
- Intelligent Tutoring Systems and Adaptive Learning 1
- Adversarial Robustness in Machine Learning 1
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- Multimodal Machine Learning Applications 4
- Robotic Path Planning Algorithms 1
- Human Pose and Action Recognition 1
- Co-authors
- Ashutosh Saxena (3 shared papers)Jaeyong Sung (2 shared papers)Kevin Lee (2 shared papers)Yoav Artzi (3 shared papers)Valts Blukis (2 shared papers)Eyvind Niklasson (1 shared paper)Andrew Bennett (1 shared paper)Percy Liang (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)International Conference on Machine Learning (1 paper)arXiv (Cornell University) (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Dipendra Misra
11 papers receiving 316 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 176
- Artificial Intelligence 254
- Control and Systems Engineering 86
- Computational Mathematics 1
- Human-Computer Interaction 9
Countries citing papers authored by Dipendra Misra
This map shows the geographic impact of Dipendra Misra'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 Dipendra Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipendra Misra more than expected).
Fields of papers citing papers by Dipendra Misra
This network shows the impact of papers produced by Dipendra Misra. 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 Dipendra Misra. The network helps show where Dipendra Misra may publish in the future.
Co-authors
The 20 scholars most cited alongside Dipendra Misra, 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 | 2015 | 125 | |
| 2 | 2018 | 73 | |
| 3 | 2014 | 34 | |
| 4 | 2015 | 33 | |
| 5 | 2016 | 18 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 16 | |
| 8 | Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning | 2020 | 7 |
| 9 | 2024 | 3 | |
| 10 | Provable Rich Observation Reinforcement Learning with Combinatorial Latent States | 2021 | 2 |
| 11 | 2024 | 1 |
About Dipendra Misra
Dipendra Misra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Management Science and Operations Research and Infectious Diseases, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (4 papers), Topic Modeling (4 papers), Reinforcement Learning in Robotics (2 papers), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Adversarial Robustness in Machine Learning (1 paper), Robotic Path Planning Algorithms (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Artificial Intelligence (254 citations), Control and Systems Engineering (86 citations), Computational Mathematics (1 citation) and Human-Computer Interaction (9 citations). Dipendra Misra has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ashutosh Saxena, Jaeyong Sung, Kevin Lee, Yoav Artzi, Valts Blukis, Eyvind Niklasson, Andrew Bennett, Percy Liang, Ross A. Knepper and Ming‐Wei Chang. Their work appears in journals such as The International Journal of Robotics Research, International Conference on Machine Learning, arXiv (Cornell University) and International Conference on Learning Representations.
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.