Thomas Mathew

3.9k total citations
148 papers, 2.6k citations indexed

About

Thomas Mathew is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Thomas Mathew has authored 148 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Statistics and Probability, 42 papers in Management Science and Operations Research and 34 papers in Statistics, Probability and Uncertainty. Recurrent topics in Thomas Mathew's work include Advanced Statistical Methods and Models (66 papers), Optimal Experimental Design Methods (37 papers) and Statistical Methods and Inference (31 papers). Thomas Mathew is often cited by papers focused on Advanced Statistical Methods and Models (66 papers), Optimal Experimental Design Methods (37 papers) and Statistical Methods and Inference (31 papers). Thomas Mathew collaborates with scholars based in United States, India and Finland. Thomas Mathew's co-authors include K. Krishnamoorthy, Bimal K. Sinha, Kenneth Nordström, Alvin C. Rencher, André I. Khuri, Fei Lu, Hari Iyer, Ionut Bebu, Shubhabrata Mukherjee and K. Jayakumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Thomas Mathew

142 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Mathew United States 25 1.5k 729 469 232 135 148 2.6k
K. Krishnamoorthy United States 28 1.6k 1.1× 719 1.0× 333 0.7× 283 1.2× 96 0.7× 125 2.8k
Arjun K. Gupta United States 30 2.1k 1.4× 809 1.1× 548 1.2× 708 3.1× 250 1.9× 229 4.1k
Samaradasa Weerahandi United States 19 1.4k 0.9× 610 0.8× 367 0.8× 220 0.9× 109 0.8× 48 2.0k
Probal Chaudhuri India 27 1.5k 1.0× 432 0.6× 248 0.5× 538 2.3× 184 1.4× 61 2.6k
Muni S. Srivastava Canada 33 2.6k 1.7× 573 0.8× 383 0.8× 943 4.1× 214 1.6× 164 4.4k
S. Kocherlakota Canada 16 1.3k 0.8× 399 0.5× 355 0.8× 609 2.6× 220 1.6× 48 3.1k
R. R. Hocking United States 26 1.4k 0.9× 382 0.5× 473 1.0× 352 1.5× 165 1.2× 59 3.6k
Hari Iyer United States 23 765 0.5× 398 0.5× 214 0.5× 193 0.8× 69 0.5× 119 2.7k
Edward J. Dudewicz United States 23 1.2k 0.8× 558 0.8× 547 1.2× 407 1.8× 150 1.1× 112 2.3k
Irwin Guttman Canada 27 1.3k 0.9× 725 1.0× 397 0.8× 415 1.8× 94 0.7× 150 2.6k

Countries citing papers authored by Thomas Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Mathew. A scholar is included among the top collaborators of Thomas Mathew 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 Thomas Mathew. Thomas Mathew 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.
Mathew, Thomas, et al.. (2025). Novel approaches for random-effects meta-analysis of a small number of studies under normality. Research Synthesis Methods. 16(6). 922–936. 1 indexed citations
2.
Ma, Xiaoyang, David P. MacKinnon, Thomas Mathew, et al.. (2025). Generalized Inference for Mediation Analysis. Mathematics. 13(3). 396–396.
3.
Mathew, Thomas, et al.. (2023). Design and Sample Size Determination for Experiments on Nonresponse Followup using a Sequential Regression Model. Journal of Official Statistics. 39(2). 173–202.
4.
Mathew, Thomas, et al.. (2016). Testing variance parameters in models with a Kronecker product covariance structure. Statistics & Probability Letters. 118. 182–189. 2 indexed citations
5.
Saraf, Sanatan, Thomas Mathew, & Anindya Roy. (2014). Statistical Validation of Surrogate Endpoints: Another Look at the Prentice Criterion and Other Criteria. Journal of Biopharmaceutical Statistics. 25(6). 1234–1246. 1 indexed citations
6.
Mathew, Thomas, et al.. (2014). Likelihood Based Inference Under Noise Multiplication. 12(1). 1–23. 2 indexed citations
7.
Gamage, Jinadasa, Thomas Mathew, & Samaradasa Weerahandi. (2013). Generalized prediction intervals for BLUPs in mixed models. Journal of Multivariate Analysis. 120. 226–233. 8 indexed citations
8.
Sharma, Gaurav & Thomas Mathew. (2012). One-Sided and Two-Sided Tolerance Intervals in General Mixed and Random Effects Models Using Small-Sample Asymptotics. Journal of the American Statistical Association. 107(497). 258–267. 13 indexed citations
9.
Krishnamoorthy, K. & Thomas Mathew. (2008). Statistical Tolerance Regions: Theory, Applications, and Computation. Wiley series in probability and statistics. 236 indexed citations
10.
Krishnamoorthy, K., Thomas Mathew, & Gurumurthy Ramachandran. (2006). Generalized P-Values and Confidence Intervals: A Novel Approach for Analyzing Lognormally Distributed Exposure Data. Journal of Occupational and Environmental Hygiene. 3(11). 642–650. 31 indexed citations
11.
Gamage, Jinadasa, Thomas Mathew, & Samaradasa Weerahandi. (2003). Generalized p-values and generalized confidence regions for the multivariate Behrens–Fisher problem and MANOVA. Journal of Multivariate Analysis. 88(1). 177–189. 48 indexed citations
12.
Khuri, André I., Thomas Mathew, & Bimal K. Sinha. (1998). Statistical Texts for Mixed Linear Models. Wiley series in probability and statistics. 82 indexed citations
13.
Mathew, Thomas & Kenneth Nordström. (1997). An Inequality for a Measure of Deviation in Linear Models. The American Statistician. 51(4). 344–349. 2 indexed citations
14.
Mathew, Thomas, et al.. (1994). Improved Nonnegative Estimation of Variance Components in Balanced Multivariate Mixed Models. Journal of Multivariate Analysis. 51(1). 83–101. 15 indexed citations
15.
Zhou, L. & Thomas Mathew. (1994). Combining Independent Tests in Multivariate Linear Models. Journal of Multivariate Analysis. 51(2). 265–276. 6 indexed citations
16.
Khuri, A. I., Thomas Mathew, & D. G. Nel. (1994). A Test to Determine Closeness of Multivariate Satterthwaite′s Approximation. Journal of Multivariate Analysis. 51(1). 201–209. 11 indexed citations
17.
Mathew, Thomas & Bimal K. Sinha. (1992). Exact and Optimum Tests in Unbalanced Split-Plot Designs under Mixed and Random Models. Journal of the American Statistical Association. 87(417). 192–200. 7 indexed citations
18.
Baksalary, Jerzy K. & Thomas Mathew. (1990). Rank invariance criterion and its application to the unified theory of least squares. Linear Algebra and its Applications. 127. 393–400. 24 indexed citations
19.
Mathew, Thomas & Bimal K. Sinha. (1988). Optimum Tests for Fixed Effects and Variance Components in Balanced Models. Journal of the American Statistical Association. 83(401). 133–135. 15 indexed citations
20.
Mathew, Thomas. (1986). Hermitian and nonnegativity preserving subspaces. Linear Algebra and its Applications. 82. 225–235. 1 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.

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