Deepak Pathak
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Visual Attention and Saliency Detection
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Smart Agriculture and AI 4
- Co-authors
- Philipp Krähenbühl (1 shared paper)Trevor Darrell (1 shared paper)Shikhar Bahl (3 shared papers)Xuxin Cheng (1 shared paper)Abhinav Gupta (1 shared paper)Kenneth Shaw (4 shared papers)Eunju Kwon (10 shared papers)Dong Young Kim (8 shared papers)
- Journals
- IUCrJ (2 papers)PLoS ONE (2 papers)Computers and Electronics in Agriculture (1 paper)Journal of Structural Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Deepak Pathak
29 papers receiving 736 citations
Deepak Pathak's Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 396
- Artificial Intelligence 248
- Control and Systems Engineering 114
- Human-Computer Interaction 18
- Media Technology 25
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Hit paper breakdown → | 2015 | 406 |
| 2 | Extreme Parkour with Legged Robots Hit paper breakdown → | 2024 | 73 |
| 3 | 2022 | 52 | |
| 4 | 2022 | 41 | |
| 5 | 2024 | 28 | |
| 6 | 2021 | 26 | |
| 7 | 2024 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2017 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 3 |
About Deepak Pathak
Deepak Pathak is a scholar working on Plant Science, Molecular Biology, Computer Vision and Pattern Recognition, Ecology and Artificial Intelligence, having authored 30 papers that have together received 763 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Smart Agriculture and AI (4 papers), Remote Sensing in Agriculture (3 papers), Enzyme Structure and Function (3 papers), Reinforcement Learning in Robotics (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Bacteriophages and microbial interactions (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (396 citations), Artificial Intelligence (248 citations), Control and Systems Engineering (114 citations), Human-Computer Interaction (18 citations) and Media Technology (25 citations). Deepak Pathak has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Philipp Krähenbühl, Trevor Darrell, Shikhar Bahl, Xuxin Cheng, Abhinav Gupta, Kenneth Shaw, Eunju Kwon, Dong Young Kim, Hyun Suk Jung and Andreas Dengel. Their work appears in journals such as IUCrJ, PLoS ONE, Computers and Electronics in Agriculture, Journal of Structural Biology and Cell Reports.
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.