Lanh Tat Tran

52 papers and 1.4k indexed citations i.

About

Lanh Tat Tran is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Lanh Tat Tran has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 21 papers in Artificial Intelligence and 21 papers in Finance. Recurrent topics in Lanh Tat Tran’s work include Statistical Methods and Inference (26 papers), Bayesian Methods and Mixture Models (18 papers) and Financial Risk and Volatility Modeling (17 papers). Lanh Tat Tran is often cited by papers focused on Statistical Methods and Inference (26 papers), Bayesian Methods and Mixture Models (18 papers) and Financial Risk and Volatility Modeling (17 papers). Lanh Tat Tran collaborates with scholars based in United States, France and Taiwan. Lanh Tat Tran's co-authors include Tuan D. Pham, George G. Roussas, Marc Hallin, Michel Carbon, Zudi Lu, Ngai Hang Chan, D. Ioannides, Sidney Yakowitz, Berlin Wu and Christian Francq and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and The Annals of Probability.

In The Last Decade

Co-authorship network of co-authors of Lanh Tat Tran i

Fields of papers citing papers by Lanh Tat Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lanh Tat Tran. 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 Lanh Tat Tran. The network helps show where Lanh Tat Tran may publish in the future.

Countries citing papers authored by Lanh Tat Tran

Since Specialization
Citations

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