Srabashi Basu

19 papers and 635 indexed citations i.

About

Srabashi Basu is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Srabashi Basu has authored 19 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Srabashi Basu’s work include Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (5 papers) and Statistical Methods and Inference (4 papers). Srabashi Basu is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (5 papers) and Statistical Methods and Inference (4 papers). Srabashi Basu collaborates with scholars based in United States, India and Hong Kong. Srabashi Basu's co-authors include Daniel F. Heitjan, Jacqueline A. Pugh, Lawrence B. Harkless, Hisham R. Ashry, Lawrence A. Lavery, Ayanendranath Basu, J. Richard Landis, Suvro Banerjee, Tapan K. Mukherjee and M. C. Jones and has published in prestigious journals such as Diabetes Care, Diabetes and American Journal of Epidemiology.

In The Last Decade

Co-authorship network of co-authors of Srabashi Basu i

Fields of papers citing papers by Srabashi Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Srabashi Basu

Since Specialization
Citations

This map shows the geographic impact of Srabashi Basu'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 Srabashi Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srabashi Basu 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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2025