Preetam Nandy

17 papers and 212 indexed citations i.

About

Preetam Nandy is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Preetam Nandy has authored 17 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Molecular Biology. Recurrent topics in Preetam Nandy’s work include Statistical Methods and Inference (6 papers), Bayesian Modeling and Causal Inference (5 papers) and Gene expression and cancer classification (4 papers). Preetam Nandy is often cited by papers focused on Statistical Methods and Inference (6 papers), Bayesian Modeling and Causal Inference (5 papers) and Gene expression and cancer classification (4 papers). Preetam Nandy collaborates with scholars based in United States, Switzerland and India. Preetam Nandy's co-authors include Marloes H. Maathuis, Alain Hauser, Thomas S. Richardson, Christoph Zechner, Heinz Koeppl, Luca Weihs, Michael Unger, Mathias Drton, Kushal K. Dey and Erhan Bilal and has published in prestigious journals such as Bioinformatics, The Annals of Statistics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Preetam Nandy i

Fields of papers citing papers by Preetam Nandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Preetam Nandy

Since Specialization
Citations

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