Prabir Burman

37 papers and 1.1k indexed citations i.

About

Prabir Burman is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Prabir Burman has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Prabir Burman’s work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (7 papers) and Control Systems and Identification (5 papers). Prabir Burman is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (7 papers) and Control Systems and Identification (5 papers). Prabir Burman collaborates with scholars based in United States, India and New Zealand. Prabir Burman's co-authors include Edmond Chow, Deborah Nolan, Melissa M. Grigione, Wolfgang Polonik, Malay Ghosal, Robert S. Evans, Steven C. Wofsy, J. William Munger, Krishna V. Subbarao and David Y. Hollinger and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Biological Conservation.

In The Last Decade

Co-authorship network of co-authors of Prabir Burman i

Fields of papers citing papers by Prabir Burman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prabir Burman

Since Specialization
Citations

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