Deepak Pathak
Impact in
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- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
Papers in
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- Multimodal Machine Learning Applications 12
- Human Pose and Action Recognition 11
- Advanced Vision and Imaging 7
- Robotic Path Planning Algorithms 5
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- Reinforcement Learning in Robotics 8
- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Trevor Darrell (8 shared papers)Jitendra Malik (6 shared papers)Zipeng Fu (4 shared papers)Ashish Kumar (1 shared paper)Bharath Hariharan (1 shared paper)Piotr Dollár (1 shared paper)Ross Girshick (1 shared paper)Alexei A. Efros (4 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)The International Journal of Robotics Research (1 paper)Machine Vision and Applications (1 paper)Cognitive Science (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Deepak Pathak
51 papers receiving 1.5k citations
Deepak Pathak's Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 955
- Computer Graphics and Computer-Aided Design 93
- Artificial Intelligence 505
- Control and Systems Engineering 301
- Media Technology 68
Countries citing papers authored by Deepak Pathak
This map shows the geographic impact of Deepak Pathak'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 Deepak Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Pathak more than expected).
Fields of papers citing papers by Deepak Pathak
This network shows the impact of papers produced by Deepak Pathak. 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 Deepak Pathak. The network helps show where Deepak Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Pathak, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RMA: Rapid Motor Adaptation for Legged Robots Hit paper breakdown → | 2021 | 291 |
| 2 | 2017 | 271 | |
| 3 | Toward Multimodal Image-to-Image Translation | 2017 | 209 |
| 4 | 2023 | 76 | |
| 5 | 2023 | 75 | |
| 6 | 2023 | 61 | |
| 7 | 2023 | 54 | |
| 8 | 2021 | 51 | |
| 9 | 2015 | 51 | |
| 10 | 2023 | 49 | |
| 11 | 2022 | 37 | |
| 12 | 2021 | 35 | |
| 13 | 2023 | 34 | |
| 14 | Multimodal Image-to-Image Translation by Enforcing Bi-Cycle Consistency | 2017 | 28 |
| 15 | 2022 | 27 | |
| 16 | 2023 | 25 | |
| 17 | 2024 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2021 | 23 | |
| 20 | 2013 | 20 |
About Deepak Pathak
Deepak Pathak is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering and Aerospace Engineering, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (11 papers), Robot Manipulation and Learning (10 papers), Reinforcement Learning in Robotics (8 papers), Robotic Locomotion and Control (7 papers), Advanced Vision and Imaging (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (955 citations), Computer Graphics and Computer-Aided Design (93 citations), Artificial Intelligence (505 citations), Control and Systems Engineering (301 citations) and Media Technology (68 citations). Deepak Pathak has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Trevor Darrell, Jitendra Malik, Zipeng Fu, Ashish Kumar, Bharath Hariharan, Piotr Dollár, Ross Girshick, Alexei A. Efros, Richard Zhang and Oliver Wang. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Machine Vision and Applications, Cognitive Science and Lecture notes in computer science.
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.