Pratyay Banerjee

643 total citations
16 papers, 252 citations indexed

About

Pratyay Banerjee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Pratyay Banerjee has authored 16 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Pratyay Banerjee's work include Multimodal Machine Learning Applications (9 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Pratyay Banerjee is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Pratyay Banerjee collaborates with scholars based in United States, Russia and India. Pratyay Banerjee's co-authors include Chitta Baral, Tejas Gokhale, Yezhou Yang, Kuntal Kumar Pal, Arindam Mitra, Zhiyuan Fang, Murthy Devarakonda, Swaroop Mishra, Abhishek Chaudhary and Neeraj Varshney and has published in prestigious journals such as Advances in Applied Clifford Algebras, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Pratyay Banerjee

15 papers receiving 247 citations

Peers

Pratyay Banerjee

CVPR

MSOR

Huda Khayrallah United States

Yongjing Yin China

Yixuan Su United Kingdom

Rongxiang Weng China

Yonatan Oren United States

Jonathan Mallinson United Kingdom

Shuangzhi Wu China

Sho Takase Japan

J. Edward Hu United States

Yunsu Kim Germany

Huda Khayrallah United States

Pratyay Banerjee

263 ×1.3

114 ×0.6

CVPR

17 ×1.5

8 ×1.0

4 ×0.8

MSOR

Citations per year, relative to Pratyay Banerjee Pratyay Banerjee (= 1×) peers Huda Khayrallah

Countries citing papers authored by Pratyay Banerjee

Since Specialization

Citations

This map shows the geographic impact of Pratyay Banerjee'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 Pratyay Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratyay Banerjee more than expected).

Fields of papers citing papers by Pratyay Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pratyay Banerjee. 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 Pratyay Banerjee. The network helps show where Pratyay Banerjee may publish in the future.

Co-authorship network of co-authors of Pratyay Banerjee

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

All Works

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16 of 16 papers shown

Pal, Kuntal Kumar, Pratyay Banerjee, Himanshu Gupta, et al.. (2024). "Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning. 4069–4087. 5 indexed citations

Banerjee, Pratyay, et al.. (2022). Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. 5914–5924. 1 indexed citations

Gokhale, Tejas, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, & Yezhou Yang. (2022). Semantically Distributed Robust Optimization for Vision-and-Language Inference. Findings of the Association for Computational Linguistics: ACL 2022. 1493–1513. 9 indexed citations

Banerjee, Pratyay, et al.. (2022). Construction of a Few Quantum Mechanical Hamiltonians via Lévy-Leblond Type Linearization: Clifford Momentum, Spinor States and Supersymmetry. Advances in Applied Clifford Algebras. 32(5). 1 indexed citations

Varshney, Neeraj, Pratyay Banerjee, Tejas Gokhale, & Chitta Baral. (2022). Unsupervised Natural Language Inference Using PHL Triplet Generation. Findings of the Association for Computational Linguistics: ACL 2022. 2003–2016. 5 indexed citations

Luo, Yiran, et al.. (2022). To Find Waldo You Need Contextual Cues: Debiasing Who’s Waldo. 355–361. 2 indexed citations

Banerjee, Pratyay, et al.. (2022). Lexi: Self-Supervised Learning of the UI Language. 6992–7007. 2 indexed citations

Banerjee, Pratyay, Kuntal Kumar Pal, Murthy Devarakonda, & Chitta Baral. (2021). Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering. 2(4). 1–24. 20 indexed citations

Banerjee, Pratyay, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, & Chitta Baral. (2021). Commonsense Reasoning with Implicit Knowledge in Natural Language. 3 indexed citations

10.

Banerjee, Pratyay, Tejas Gokhale, Yezhou Yang, & Chitta Baral. (2021). Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1888–1898. 12 indexed citations

11.

Banerjee, Pratyay, et al.. (2021). Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6417–6431. 31 indexed citations

12.

Banerjee, Pratyay, et al.. (2021). Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. 932–941. 1 indexed citations

13.

Fang, Zhiyuan, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, & Yezhou Yang. (2020). Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. 840–860. 38 indexed citations

14.

Gokhale, Tejas, Pratyay Banerjee, Chitta Baral, & Yezhou Yang. (2020). MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. 878–892. 78 indexed citations

15.

Banerjee, Pratyay, Kuntal Kumar Pal, Arindam Mitra, & Chitta Baral. (2019). Careful Selection of Knowledge to Solve Open Book Question Answering. 6120–6129. 25 indexed citations

16.

Mitra, Arindam, Pratyay Banerjee, Kuntal Kumar Pal, Swaroop Mishra, & Chitta Baral. (2019). Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. arXiv (Cornell University). 19 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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