Sweta Agrawal

650 total citations
23 papers, 148 citations indexed

About

Sweta Agrawal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Sweta Agrawal has authored 23 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Sweta Agrawal's work include Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Text Readability and Simplification (9 papers). Sweta Agrawal is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Text Readability and Simplification (9 papers). Sweta Agrawal collaborates with scholars based in United States, Portugal and United Kingdom. Sweta Agrawal's co-authors include Marine Carpuat, Chunting Zhou, Marjan Ghazvininejad, Luke Zettlemoyer, Weijia Xu, Marianna J. Martindale, Weijia Xu, Michael Lewis, Joel Tetreault and Sunav Choudhary and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, ORCA Online Research @Cardiff (Cardiff University) and UvA-DARE (University of Amsterdam).

In The Last Decade

Sweta Agrawal

16 papers receiving 137 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sweta Agrawal United States 7 121 27 10 6 5 23 148
Qinghong Han China 4 152 1.3× 24 0.9× 17 1.7× 6 1.0× 7 1.4× 4 171
Aditya Mogadala India 5 109 0.9× 53 2.0× 8 0.8× 7 1.2× 5 1.0× 14 152
Hongkun Yu United States 2 83 0.7× 18 0.7× 7 0.7× 4 0.7× 3 0.6× 3 113
Khalid Almubarak Saudi Arabia 4 183 1.5× 31 1.1× 13 1.3× 5 0.8× 7 1.4× 9 217
Roberta Răileanu Israel 4 76 0.6× 20 0.7× 6 0.6× 4 0.7× 6 1.2× 11 114
Onur Çelebi Türkiye 4 104 0.9× 33 1.2× 10 1.0× 3 0.5× 7 1.4× 7 112
Francis Song United States 3 106 0.9× 16 0.6× 18 1.8× 3 0.5× 5 1.0× 4 148
Aman Madaan United States 5 107 0.9× 18 0.7× 23 2.3× 6 1.0× 4 0.8× 9 143
Nicholas Meade Canada 3 89 0.7× 14 0.5× 11 1.1× 4 0.7× 4 0.8× 3 116
Yunlong Liang China 6 187 1.5× 32 1.2× 27 2.7× 2 0.3× 5 1.0× 17 229

Countries citing papers authored by Sweta Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Sweta Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sweta Agrawal

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

All Works

20 of 20 papers shown
1.
Guerreiro, Nuno, et al.. (2025). Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral. 26730–26744. 1 indexed citations
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Agrawal, Sweta, et al.. (2024). Can Automatic Metrics Assess High-Quality Translations?. 14491–14502. 1 indexed citations
5.
Pombal, José P., João M. P. Alves, Patrick Fernandes, et al.. (2024). Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task. 185–204.
6.
Agrawal, Sweta, et al.. (2024). Findings of the WMT 2024 Shared Task on Chat Translation. UvA-DARE (University of Amsterdam). 701–714.
7.
Agrawal, Sweta & Marine Carpuat. (2024). Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension. Transactions of the Association for Computational Linguistics. 12(0). 432–448.
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Guerreiro, Nuno, Sweta Agrawal, José P. Pombal, et al.. (2024). xTower: A Multilingual LLM for Explaining and Correcting Translation Errors. 15222–15239. 1 indexed citations
10.
Agrawal, Sweta, Chunting Zhou, Michael Lewis, Luke Zettlemoyer, & Marjan Ghazvininejad. (2023). In-context Examples Selection for Machine Translation. 8857–8873. 24 indexed citations
11.
Agrawal, Sweta & Marine Carpuat. (2023). Controlling Pre-trained Language Models for Grade-Specific Text Simplification. 12807–12819.
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Agrawal, Sweta, et al.. (2023). BLESS: Benchmarking Large Language Models on Sentence Simplification. ORCA Online Research @Cardiff (Cardiff University). 13291–13309. 5 indexed citations
14.
Xu, Weijia, et al.. (2023). Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection. Transactions of the Association for Computational Linguistics. 11. 546–564. 26 indexed citations
15.
Agrawal, Sweta, et al.. (2022). Controlling Translation Formality Using Pre-trained Multilingual Language Models. 327–340. 6 indexed citations
16.
Agrawal, Sweta, et al.. (2021). Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 17 indexed citations
17.
Agrawal, Sweta, Weijia Xu, & Marine Carpuat. (2021). A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification. 3757–3769. 14 indexed citations
18.
Agrawal, Sweta & Marine Carpuat. (2019). Controlling Text Complexity in Neural Machine Translation. 1549–1564. 28 indexed citations
19.
Garg, Ankur, et al.. (2017). Smart Geo-fencing with Location Sensitive Product Affinity. 1–10. 11 indexed citations
20.
Agrawal, Sweta, et al.. (2015). Evaluating and Implementing Collaborative Filtering Systems Using Apache Mahout. 858–862. 7 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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