M. B. Rajarshi

30 papers and 358 indexed citations i.

About

M. B. Rajarshi is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, M. B. Rajarshi has authored 30 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 7 papers in Mathematical Physics. Recurrent topics in M. B. Rajarshi’s work include Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (8 papers) and Stochastic processes and statistical mechanics (7 papers). M. B. Rajarshi is often cited by papers focused on Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (8 papers) and Stochastic processes and statistical mechanics (7 papers). M. B. Rajarshi collaborates with scholars based in India, United States and Canada. M. B. Rajarshi's co-authors include T. V. Ramanathan, V. Kumar, Veeresh Gadag, Ravishankar Ramanathan, C. V. Haridas, Madhav Gadgil and V. Sitaramam and has published in prestigious journals such as Journal of the American Statistical Association, Ecology and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of M. B. Rajarshi i

Fields of papers citing papers by M. B. Rajarshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. B. Rajarshi. 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 M. B. Rajarshi. The network helps show where M. B. Rajarshi may publish in the future.

Countries citing papers authored by M. B. Rajarshi

Since Specialization
Citations

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