Deepak Pathak

11.9k citations
42 papers · 6.9k · 3 hit papers · h-index 22

Impact in

Papers in

Deepak Pathak

40 papers receiving 6.7k citations

Deepak Pathak's Hit Papers

RMA: Rapid Motor Adaptation for Legged Robots 2021 · 352 citations
3520+3+6Years since publication1k2k3k4k

Peers

Deepak Pathak
Comparison fields: 5 of 122
  • Computer Vision and Pattern Recognition 3.5k
  • Artificial Intelligence 2.4k
  • Control and Systems Engineering 429
  • Media Technology 149
  • Signal Processing 139
Replace Shenghua Gao with:
Shenghua Gao China
Chen Qian China
Josephine Sullivan Sweden
Jonathan Masci Switzerland
Sergey Karayev United States
Toby P. Breckon United Kingdom
Tatsuya Harada Japan
Jiahui Yu China
Adam Coates United States
Raphael Labaca-Castro Germany
Deepak Pathak relative to Shenghua Gao China Shenghua Gao's profile →
Citations per field
00.5×1.5×2×2.3×
Shenghua Gao · 1×
Citations per year

Countries citing papers authored by Deepak Pathak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Deepak Pathak Line = papers co-authored together Deepak Pathak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Context Encoders: Feature Learning by Inpainting
Hit paper breakdown →
20164063
2
Curiosity-Driven Exploration by Self-Supervised Prediction
Hit paper breakdown →
20171033
3
RMA: Rapid Motor Adaptation for Legged Robots
Hit paper breakdown →
2021352
4 2017318
5 2018116
6 202396
7 202393
8 202389
9 202377
10 202366
11 202157
12 201556
13 202048
14 202246
15 202140
16 202439
17 202338
18 202232
19
Multimodal Image-to-Image Translation by Enforcing Bi-Cycle Consistency
201730
20 202329

About Deepak Pathak

Deepak Pathak is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering and Computational Mechanics, having authored 42 papers that have together received 6.9k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Robot Manipulation and Learning (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Robotic Locomotion and Control (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Robotic Path Planning Algorithms (4 papers), Advanced Neural Network Applications (3 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Artificial Intelligence (2.4k citations), Control and Systems Engineering (429 citations), Media Technology (149 citations) and Signal Processing (139 citations). Deepak Pathak has collaborated with scholars based in United States and India. Frequent co-authors include Trevor Jackson Darrell, Alexei A. Efros, Philipp Krähenbühl, Jeff Donahue, Pulkit Agrawal, Jitendra Malik, Zipeng Fu, Ashish Kumar, Ross Girshick and Bharath Hariharan. Their work appears in journals such as International Journal of Computer Vision, The International Journal of Robotics Research, Cognitive Science, IEEE Robotics and Automation Letters and Machine Vision and Applications.

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.

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