Subhashis Ghosal

104 papers and 2.7k indexed citations i.

About

Subhashis Ghosal is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Subhashis Ghosal has authored 104 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Statistics and Probability, 55 papers in Artificial Intelligence and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Subhashis Ghosal’s work include Statistical Methods and Inference (75 papers), Bayesian Methods and Mixture Models (48 papers) and Statistical Methods and Bayesian Inference (32 papers). Subhashis Ghosal is often cited by papers focused on Statistical Methods and Inference (75 papers), Bayesian Methods and Mixture Models (48 papers) and Statistical Methods and Bayesian Inference (32 papers). Subhashis Ghosal collaborates with scholars based in United States, The Netherlands and India. Subhashis Ghosal's co-authors include Aad van der Vaart, Jayanta K. Ghosh, Anindya Roy, Ravi Ramamoorthi, Weining Shen, Eduard Belitser, Tapas Kumar Chandra, Anindya Roy, Jiezhun Gu and Surya T. Tokdar and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Subhashis Ghosal i

Fields of papers citing papers by Subhashis Ghosal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Subhashis Ghosal

Since Specialization
Citations

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