Abhinav Gupta
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Lerrel PintoAlexei A. EfrosJosef ŠivicCarl DoerschSaurabh SinghShubham TulsianiShikhar BahlMustafa Mukadam
- Topics
- Robot Manipulation and Learning (13 papers)Reinforcement Learning in Robotics (7 papers)Human Pose and Action Recognition (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringHuman-Computer Interaction
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACMACM Transactions on Graphics
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Abhinav Gupta
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 694
- Control and Systems Engineering 687
- Biomedical Engineering 326
- Artificial Intelligence 323
- Human-Computer Interaction 118
Countries citing papers authored by Abhinav Gupta
This map shows the geographic impact of Abhinav Gupta'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 Abhinav Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Gupta more than expected).
Fields of papers citing papers by Abhinav Gupta
This network shows the impact of papers produced by Abhinav Gupta. 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 Abhinav Gupta. The network helps show where Abhinav Gupta may publish in the future.
Co-authorship network of co-authors of Abhinav Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Gupta. A scholar is included among the top collaborators of Abhinav Gupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhinav Gupta. Abhinav Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 43 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 79 | |
| 10 | Discovering Motor Programs by Recomposing Demonstrations | 9 |
| 11 | Visual Imitation Made Easy | 1 |
| 12 | See, Hear, Explore: Curiosity via Audio-Visual Association | 2 |
| 13 | 8 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hoursbreakdown → | 590 |
| 17 | 11 | |
| 18 | 82 | |
| 19 | 3 | |
| 20 | 20 |
About Abhinav Gupta
Abhinav Gupta is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (7 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (694 citations), Control and Systems Engineering (687 citations) and Human-Computer Interaction (118 citations). Abhinav Gupta has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Lerrel Pinto, Alexei A. Efros, Josef Šivic, Carl Doersch, Saurabh Singh, Shubham Tulsiani, Shikhar Bahl, Mustafa Mukadam, Leonidas Guibas and Kaichun Mo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and ACM Transactions on Graphics.
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.