Anchit Gupta

932 total citations
14 papers, 346 citations indexed

About

Anchit Gupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Anchit Gupta has authored 14 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Anchit Gupta's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). Anchit Gupta is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (4 papers). Anchit Gupta collaborates with scholars based in India, United States and United Kingdom. Anchit Gupta's co-authors include Sonal Gupta, Xilun Chen, Yashar Mehdad, Armen Aghajanyan, Luke Zettlemoyer, Haoran Li, Shuohui Chen, Yuke Zhu, Li Fei-Fei and Silvio Savarese and has published in prestigious journals such as Journal of Geodynamics, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Anchit Gupta

14 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anchit Gupta India	8	278	115	52	21	11	14	346
Yongbin Li China	8	250 0.9×	70 0.6×	47 0.9×	12 0.6×	18 1.6×	27	342
Chien-Chin Huang Taiwan	6	85 0.3×	82 0.7×	24 0.5×	19 0.9×	12 1.1×	8	226
Oron Anschel United States	4	113 0.4×	100 0.9×	29 0.6×	7 0.3×	3 0.3×	5	207
Steven Kapturowski United States	3	144 0.5×	34 0.3×	30 0.6×	7 0.3×	5 0.5×	5	194
Ilija Ilievski Singapore	6	143 0.5×	94 0.8×	7 0.1×	29 1.4×	3 0.3×	8	234
Zhen Zeng China	9	129 0.5×	76 0.7×	25 0.5×	9 0.4×	3 0.3×	29	217
Zhanpeng He United States	7	78 0.3×	52 0.5×	70 1.3×	11 0.5×	15 1.4×	18	181
Bradly C. Stadie United States	5	124 0.4×	57 0.5×	65 1.3×	4 0.2×	5 0.5×	9	177
Deirdre Quillen United States	3	118 0.4×	46 0.4×	72 1.4×	7 0.3×	8 0.7×	3	173
Thomas Rückstieß Germany	4	137 0.5×	28 0.2×	37 0.7×	6 0.3×	8 0.7×	7	203

Countries citing papers authored by Anchit Gupta

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anchit Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Anchit Gupta. A scholar is included among the top collaborators of Anchit 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 Anchit Gupta. Anchit Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Desai, Shrey, et al.. (2023). Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. 3 indexed citations

Luo, Man, Anchit Gupta, Arash Einolghozati, et al.. (2023). A Study on the Efficiency and Generalization of Light Hybrid Retrievers. 1617–1626. 2 indexed citations

Xiong, Wenhan, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, & Scott Yih. (2023). Adapting Pretrained Text-to-Text Models for Long Text Sequences. 9 indexed citations

Gupta, Anchit, et al.. (2023). Towards Generating Ultra-High Resolution Talking-Face Videos with Lip synchronization. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5198–5207. 6 indexed citations

Gupta, Anchit, et al.. (2023). Unsupervised Audio-Visual Lecture Segmentation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5221–5230. 2 indexed citations

Chen, Xilun, Kushal Lakhotia, Barlas Oğuz, et al.. (2022). Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?. 250–262. 23 indexed citations

Xiong, Wenhan, Barlas Oğuz, Anchit Gupta, et al.. (2022). Simple Local Attentions Remain Competitive for Long-Context Tasks. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5 indexed citations

Oğuz, Barlas, Kushal Lakhotia, Anchit Gupta, et al.. (2022). Domain-matched Pre-training Tasks for Dense Retrieval. 1524–1534. 30 indexed citations

Aghajanyan, Armen, et al.. (2021). Muppet: Massive Multi-task Representations with Pre-Finetuning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5799–5811. 104 indexed citations

10.

Li, Haoran, et al.. (2021). MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. 2950–2962. 74 indexed citations

11.

Mandlekar, Ajay, Anchit Gupta, Yuke Zhu, et al.. (2019). Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. 1048–1055. 28 indexed citations

12.

Fan, Linxi, et al.. (2018). SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark. 767–782. 48 indexed citations

13.

Gupta, Anchit & Shivaram Kalyanakrishnan. (2017). Improved Strong Worst-case Upper Bounds for MDP Planning. 1788–1794. 1 indexed citations

14.

Bose, Santanu, James Mori, C. D. Rowe, et al.. (2015). Deformation structures in the frontal prism near the Japan Trench: Insights from sandbox models. Journal of Geodynamics. 89. 29–38. 11 indexed citations

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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