Anchit Gupta
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 7
- Topic Modeling 6
- Advanced Text Analysis Techniques 1
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- Multimodal Machine Learning Applications 4
- Co-authors
- Sonal Gupta (4 shared papers)Xilun Chen (5 shared papers)Yashar Mehdad (5 shared papers)Armen Aghajanyan (1 shared paper)Luke Zettlemoyer (1 shared paper)Shuohui Chen (1 shared paper)Haoran Li (1 shared paper)Li Fei-Fei (2 shared papers)
- Journals
- Journal of Geodynamics (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2 papers)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Anchit Gupta
14 papers receiving 312 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 278
- Computer Vision and Pattern Recognition 115
- Health Informatics 4
- Control and Systems Engineering 52
- Human-Computer Interaction 6
Countries citing papers authored by Anchit Gupta
This map shows the geographic impact of Anchit 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 Anchit Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anchit Gupta more than expected).
Fields of papers citing papers by Anchit Gupta
This network shows the impact of papers produced by Anchit 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 Anchit Gupta. The network helps show where Anchit Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Anchit Gupta, 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 | 2021 | 104 | |
| 2 | 2021 | 74 | |
| 3 | SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark | 2018 | 48 |
| 4 | 2022 | 30 | |
| 5 | 2019 | 28 | |
| 6 | 2022 | 23 | |
| 7 | 2015 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2017 | 1 |
About Anchit Gupta
Anchit Gupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Information Systems, having authored 14 papers that have together received 346 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Multimodal Machine Learning Applications (4 papers), Robot Manipulation and Learning (2 papers), Advanced Text Analysis Techniques (1 paper), Speech and Audio Processing (1 paper), Caching and Content Delivery (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Artificial Intelligence (278 citations), Computer Vision and Pattern Recognition (115 citations), Health Informatics (4 citations), Control and Systems Engineering (52 citations) and Human-Computer Interaction (6 citations). Anchit Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sonal Gupta, Xilun Chen, Yashar Mehdad, Armen Aghajanyan, Luke Zettlemoyer, Shuohui Chen, Haoran Li, Li Fei-Fei, Yuke Zhu and Silvio Savarese. Their work appears in journals such as Journal of Geodynamics, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.