Vishrav Chaudhary

3.6k total citations
29 papers, 603 citations indexed

About

Vishrav Chaudhary is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Vishrav Chaudhary has authored 29 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Vishrav Chaudhary's work include Natural Language Processing Techniques (27 papers), Topic Modeling (24 papers) and Text Readability and Simplification (7 papers). Vishrav Chaudhary is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (24 papers) and Text Readability and Simplification (7 papers). Vishrav Chaudhary collaborates with scholars based in United States, United Kingdom and Israel. Vishrav Chaudhary's co-authors include Naman Goyal, Peng‐Jen Chen, Francisco Guzmán, Angela Fan, Philipp Koehn, Guillaume Wenzek, Francisco Guzmán, Édouard Grave, Alexis Conneau and Ahmed El-Kishky and has published in prestigious journals such as Journal of Machine Learning Research, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Vishrav Chaudhary

26 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vishrav Chaudhary United States	13	569	163	45	20	19	29	603
Yinhan Liu United States	4	530 0.9×	166 1.0×	34 0.8×	24 1.2×	20 1.1×	4	597
Pradeep Dasigi United States	11	527 0.9×	166 1.0×	62 1.4×	13 0.7×	12 0.6×	23	558
Kelvin Guu United States	8	422 0.7×	153 0.9×	56 1.2×	17 0.8×	15 0.8×	9	481
Roee Aharoni Israel	12	541 1.0×	156 1.0×	40 0.9×	23 1.1×	10 0.5×	27	576
John Wieting United States	11	501 0.9×	109 0.7×	38 0.8×	29 1.4×	17 0.9×	25	535
Shijie Wu United States	9	552 1.0×	145 0.9×	30 0.7×	11 0.6×	11 0.6×	12	577
Maxime Peyrard Germany	12	557 1.0×	88 0.5×	57 1.3×	32 1.6×	9 0.5×	27	597
Sam Thomson United States	9	592 1.0×	102 0.6×	45 1.0×	49 2.5×	7 0.4×	19	621
Panupong Pasupat United States	16	545 1.0×	144 0.9×	79 1.8×	26 1.3×	20 1.1×	21	602
Alham Fikri Aji United Kingdom	10	388 0.7×	79 0.5×	46 1.0×	8 0.4×	8 0.4×	36	451

Countries citing papers authored by Vishrav Chaudhary

Since Specialization

Citations

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

Fields of papers citing papers by Vishrav Chaudhary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishrav Chaudhary

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Patra, Barun, et al.. (2025). Scaling Laws for Multilingual Language Models. 4257–4273.

Jain, Ayush, et al.. (2024). ODIN: A Single Model for 2D and 3D Segmentation. 3564–3574. 2 indexed citations

Peyrard, Maxime, Martin Josifoski, Vishrav Chaudhary, et al.. (2024). A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. SPIRE - Sciences Po Institutional REpository. 6828–6844.

Dong, Li, Barun Patra, Shuming Ma, et al.. (2023). A Length-Extrapolatable Transformer. 14590–14604. 26 indexed citations

Sitaram, Sunayana, et al.. (2023). Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world. 21–26. 5 indexed citations

Patra, Barun, Saksham Singhal, Shaohan Huang, et al.. (2023). Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning. 15354–15373. 6 indexed citations

Aggarwal, Kriti, Aditi Khandelwal, Qiang Liu, et al.. (2023). DUBLIN: Visual Document Understanding By Language-Image Network. 693–706. 2 indexed citations

Josifoski, Martin, Maxime Peyrard, Barun Patra, et al.. (2023). Language Model Decoding as Likelihood–Utility Alignment. 1455–1470. 1 indexed citations

Anastasopoulos, Antonios, Barun Patra, Graham Neubig, et al.. (2022). The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models. 1–7.

10.

Kann, Katharina, Annette Rios, Angela Fan, et al.. (2022). AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. Frontiers in Artificial Intelligence. 5. 995667–995667. 7 indexed citations

11.

Koehn, Philipp, et al.. (2022). Data Selection Curriculum for Neural Machine Translation. 1569–1582. 3 indexed citations

12.

Fan, Angela, Shruti Bhosale, Holger Schwenk, et al.. (2021). Beyond English-Centric Multilingual Machine Translation. Journal of Machine Learning Research. 22(107). 1–48. 11 indexed citations

13.

Du, Jingfei, Édouard Grave, Beliz Gunel, et al.. (2021). Self-training Improves Pre-training for Natural Language Understanding. 5408–5418. 75 indexed citations

14.

El-Kishky, Ahmed, et al.. (2021). Quality Estimation without Human-labeled Data. 619–625. 14 indexed citations

15.

Specia, Lucia, et al.. (2020). Findings of the WMT 2020 Shared Task on Quality Estimation. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 743–764. 44 indexed citations

16.

Sun, Shuo, Frédéric Blain, Vishrav Chaudhary, et al.. (2020). An Exploratory Study on Multilingual Quality Estimation. 366–377. 4 indexed citations

17.

Sun, Shuo, Frédéric Blain, Vishrav Chaudhary, et al.. (2020). BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task. Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton). 1010–1017. 9 indexed citations

18.

Koehn, Philipp, Vishrav Chaudhary, Ahmed El-Kishky, et al.. (2020). Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment. Empirical Methods in Natural Language Processing. 726–742. 29 indexed citations

19.

Specia, Lucia, Juan Pino, Vishrav Chaudhary, et al.. (2020). Findings of the WMT 2020 Shared Task on Machine Translation Robustness. Empirical Methods in Natural Language Processing. 76–91. 8 indexed citations

20.

Wenzek, Guillaume, Marie-Anne Lachaux, Alexis Conneau, et al.. (2019). CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. Language Resources and Evaluation. 4003–4012. 41 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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