Soumendra N. Lahiri

85 papers and 1.8k indexed citations i.

About

Soumendra N. Lahiri is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Soumendra N. Lahiri has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Statistics and Probability, 23 papers in Finance and 21 papers in Artificial Intelligence. Recurrent topics in Soumendra N. Lahiri’s work include Statistical Methods and Inference (54 papers), Statistical Methods and Bayesian Inference (27 papers) and Financial Risk and Volatility Modeling (22 papers). Soumendra N. Lahiri is often cited by papers focused on Statistical Methods and Inference (54 papers), Statistical Methods and Bayesian Inference (27 papers) and Financial Risk and Volatility Modeling (22 papers). Soumendra N. Lahiri collaborates with scholars based in United States, India and South Korea. Soumendra N. Lahiri's co-authors include Arindam Chatterjee, Daniel J. Nordman, Noel Cressie, Peter Hall, Jun Zhu, Mark S. Kaiser, Karl Gregory, Peter Hall, Nan‐Jung Hsu and Young K. Truong and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Soumendra N. Lahiri i

Fields of papers citing papers by Soumendra N. Lahiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soumendra N. Lahiri. 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 Soumendra N. Lahiri. The network helps show where Soumendra N. Lahiri may publish in the future.

Countries citing papers authored by Soumendra N. Lahiri

Since Specialization
Citations

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