Tapabrata Maiti

About

Tapabrata Maiti is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Tapabrata Maiti has authored 92 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Statistics and Probability, 39 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Tapabrata Maiti’s work include Statistical Methods and Inference (36 papers), Statistical Methods and Bayesian Inference (29 papers) and Bayesian Methods and Mixture Models (24 papers). Tapabrata Maiti is often cited by papers focused on Statistical Methods and Inference (36 papers), Statistical Methods and Bayesian Inference (29 papers) and Bayesian Methods and Mixture Models (24 papers). Tapabrata Maiti collaborates with scholars based in United States, South Korea and India. Tapabrata Maiti's co-authors include Peter Hall, Partha Lahiri, Gauri Sankar Datta, Jongeun Choi, Vivek Pradhan, Peter Hall, Sarat C. Dass, Eric Slud, Chae Young Lim and Yunfei Xu and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Tapabrata Maiti i

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Fields of papers citing papers by Tapabrata Maiti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tapabrata Maiti

Since Specialization

Citations

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