Lanh Tat Tran

1.9k total citations
51 papers, 1.4k citations indexed

About

Lanh Tat Tran is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Lanh Tat Tran has authored 51 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 Finance and 19 papers in Artificial Intelligence. Recurrent topics in Lanh Tat Tran's work include Statistical Methods and Inference (26 papers), Financial Risk and Volatility Modeling (17 papers) and Bayesian Methods and Mixture Models (16 papers). Lanh Tat Tran is often cited by papers focused on Statistical Methods and Inference (26 papers), Financial Risk and Volatility Modeling (17 papers) and Bayesian Methods and Mixture Models (16 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, Michel Carbon, Marc Hallin, Ngai Hang Chan, D. Ioannides, Zudi Lu, 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 Proceedings of the American Mathematical Society.

In The Last Decade

Lanh Tat Tran

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lanh Tat Tran United States 20 928 503 361 336 317 51 1.4k
Elias Masry United States 21 1.0k 1.1× 594 1.2× 429 1.2× 174 0.5× 289 0.9× 64 1.7k
Hira L. Koul United States 29 2.0k 2.1× 1.1k 2.1× 371 1.0× 231 0.7× 444 1.4× 115 2.6k
Sándor Csörgő Hungary 29 1.5k 1.7× 985 2.0× 487 1.3× 490 1.5× 231 0.7× 97 2.3k
I. V. Basawa United States 27 1.2k 1.3× 933 1.9× 304 0.8× 353 1.1× 363 1.1× 89 2.0k
D. L. McLeish Canada 17 576 0.6× 554 1.1× 210 0.6× 324 1.0× 290 0.9× 51 1.4k
Paul Deheuvels France 23 1.1k 1.1× 995 2.0× 482 1.3× 432 1.3× 205 0.6× 87 1.9k
Marie Hušková Czechia 25 1.3k 1.4× 598 1.2× 325 0.9× 218 0.6× 396 1.2× 111 2.0k
Michael H. Neumann Germany 23 784 0.8× 623 1.2× 254 0.7× 148 0.4× 327 1.0× 58 1.5k
Siegfried Hörmann United States 18 405 0.4× 494 1.0× 98 0.3× 173 0.5× 388 1.2× 42 1.1k
Abdulhamid A. Alzaid Saudi Arabia 13 1.1k 1.2× 786 1.6× 332 0.9× 294 0.9× 209 0.7× 54 1.6k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Lanh Tat Tran. A scholar is included among the top collaborators of Lanh Tat Tran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lanh Tat Tran. Lanh Tat Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tran, Lanh Tat, et al.. (2014). Adaptive permutation tests for serial independence. Statistica Neerlandica. 68(3). 183–208. 1 indexed citations
2.
Li, Jiexiang & Lanh Tat Tran. (2007). Hazard rate estimation on random fields. Journal of Multivariate Analysis. 98(7). 1337–1355. 6 indexed citations
3.
Hallin, Marc, Zudi Lu, & Lanh Tat Tran. (2003). Kernel density estimation for spatial processes: the L1 theory. Journal of Multivariate Analysis. 88(1). 61–75. 55 indexed citations
4.
Tran, Lanh Tat, et al.. (2003). Symmetric regression quantile and its application to robust estimation for the nonlinear regression model. Journal of Statistical Planning and Inference. 126(2). 423–440. 2 indexed citations
5.
Francq, Christian & Lanh Tat Tran. (2002). Nonparametric estimation of density, regression and dependence coefficients. Journal of nonparametric statistics. 14(6). 729–747. 4 indexed citations
6.
Carbon, Michel, Bernard Garel, & Lanh Tat Tran. (1997). Frequency polygons for weakly dependent processes. Statistics & Probability Letters. 33(1). 1–13. 23 indexed citations
7.
Tran, Lanh Tat. (1994). Density estimation for time series by histograms. Journal of Statistical Planning and Inference. 40(1). 61–79. 17 indexed citations
8.
Tran, Lanh Tat. (1993). Nonparametric Function Estimation for Time Series by Local Average Estimators. The Annals of Statistics. 21(2). 25 indexed citations
9.
Tran, Lanh Tat. (1992). Kernel density estimation for linear processes. Stochastic Processes and their Applications. 41(2). 281–296. 22 indexed citations
10.
Roussas, George G., Lanh Tat Tran, & D. Ioannides. (1992). Fixed design regression for time series: Asymptotic normality. Journal of Multivariate Analysis. 40(2). 262–291. 129 indexed citations
11.
Izenman, Alan Julian & Lanh Tat Tran. (1990). Kernel estimation of the survival function and hazard rate under weak dependence. Journal of Statistical Planning and Inference. 24(2). 233–247. 6 indexed citations
12.
Tran, Lanh Tat. (1990). Kernel density estimation under dependence. Statistics & Probability Letters. 10(3). 193–201. 21 indexed citations
13.
Tran, Lanh Tat. (1990). Kernel density estimation on random fields. Journal of Multivariate Analysis. 34(1). 37–53. 127 indexed citations
14.
Pham, Tuan D. & Lanh Tat Tran. (1989). Predicting the sample mean by extreme order statistics. Metrika. 36(1). 117–125. 6 indexed citations
15.
Pham, Tuan D. & Lanh Tat Tran. (1985). Some mixing properties of time series models. Stochastic Processes and their Applications. 19(2). 297–303. 212 indexed citations
16.
Shaked, Moshe & Lanh Tat Tran. (1982). Estimating Parameters from Mixed Samples. Journal of the American Statistical Association. 77(377). 196–196. 2 indexed citations
17.
Shaked, Moshe & Lanh Tat Tran. (1982). Estimating Parameters from Mixed Samples. Journal of the American Statistical Association. 77(377). 196–203. 3 indexed citations
18.
Pham, Tuan D. & Lanh Tat Tran. (1981). On the first-order bilinear time series model. Journal of Applied Probability. 18(3). 617–627. 68 indexed citations
19.
Puri, Madan L. & Lanh Tat Tran. (1979). Local maxima of the sample functions of the N-parameter Bessel process. Stochastic Processes and their Applications. 9(2). 137–145.
20.
Pitt, Loren D. & Lanh Tat Tran. (1979). Local Sample Path Properties of Gaussian Fields. The Annals of Probability. 7(3). 19 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026