Pragya Sur

About

Pragya Sur is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Pragya Sur has authored 8 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Pragya Sur’s work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (3 papers) and Advanced Statistical Methods and Models (2 papers). Pragya Sur is often cited by papers focused on Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (3 papers) and Advanced Statistical Methods and Models (2 papers). Pragya Sur collaborates with scholars based in United States, India and Taiwan. Pragya Sur's co-authors include Emmanuel J. Candès, Yuxin Chen, Tengyuan Liang, Galit Shmueli, Qian Zhao and Subhabrata Sen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Annals of Statistics and Journal of Business and Economic Statistics.

In The Last Decade

Co-authorship network of co-authors of Pragya Sur i

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Fields of papers citing papers by Pragya Sur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pragya Sur

Since Specialization

Citations

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

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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