Debashis Paul

45 papers and 1.3k indexed citations i.

About

Debashis Paul is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Debashis Paul has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Debashis Paul’s work include Random Matrices and Applications (11 papers), Statistical Methods and Inference (11 papers) and Statistical Methods and Bayesian Inference (9 papers). Debashis Paul is often cited by papers focused on Random Matrices and Applications (11 papers), Statistical Methods and Inference (11 papers) and Statistical Methods and Bayesian Inference (9 papers). Debashis Paul collaborates with scholars based in United States, China and Australia. Debashis Paul's co-authors include Trevor Hastie, Robert Tibshirani, Eric Bair, Alexander Aue, Jie Peng, Iain M. Johnstone, Ping Li, J.M. Cioffi, R. Narasimhan and Jack W. Silverstein and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Debashis Paul i

Fields of papers citing papers by Debashis Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Debashis Paul

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025