2026 Muni S. Srivastava: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	38	2309	2045	90	80	197	7465

Muni S. Srivastava publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Muni S. Srivastava sits on this spectrum.

42 publications 537+

This scientist: 197 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Muni S. Srivastava D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Muni S. Srivastava sits on this spectrum.

30 D-Index 86+

This scientist: 38 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

1986 - Fellow of the American Statistical Association (ASA)

Overview

Muni S. Srivastava is affiliated with the University of Toronto in Canada and specializes in Mathematics, with a focus on Statistics and Probability as well as Artificial Intelligence. Their research primarily addresses topics related to statistical methods and inference, Bayesian methods and mixture models, statistical distribution estimation and applications, and survey sampling and estimation techniques.

The scientist's recent publication record includes three papers spanning the years 2021 to 2025. These papers cover diverse areas within statistics and applied mathematics:

Linear shrinkage estimation of high-dimensional means, 2021, Communication in Statistics- Theory and Methods
BPS2025 - Developing a diagnostic blood test for ALS with ESR, 2025, Biophysical Journal
Ratio regression type estimators of the population mean for missing data in sample surveys, 2025, Statistics in Transition New Series

Srivastava frequently collaborates with several co-authors, including:

Yuki Ikeda
Ryumei Nakada
Tatsuya Kubokawa
C. T. S. Nair
Robert Dunleavy

These collaborations have resulted in publications featured in several academic journals. The most common venues for their work are:

Communication in Statistics- Theory and Methods
Biophysical Journal
Statistics in Transition New Series

Srivastava's research contributions intersect several main topics within the field of statistics. These include methods and inference, Bayesian modeling techniques, estimation of statistical distributions, and approaches for handling missing data in survey sampling. Their work engages with both theoretical aspects and applied methodologies.

The scientist was recognized as a Fellow of the American Statistical Association (ASA) in 1986, an acknowledgment of professional standing within the field of statistics.

Best Publications

Regression Analysis: Theory, Methods, and Applications

Ashish K. Sen;M. S. Srivastava

913
Citations
On Tests for Detecting Change in Mean

Ashish Sen;Muni S. Srivastava

482
Citations
Methods of Multivariate Statistics

Muni S. Srivastava

371
Citations
Some Tests Concerning the Covariance Matrix in High Dimensional Data

Muni S. Srivastava

354
Citations
A test for the mean vector with fewer observations than the dimension

Muni S. Srivastava;Meng Du

353
Citations
Bootstrap Tests and Confidence Regions for Functions of a Covariance Matrix

Rudolf Beran;Muni S. Srivastava

342
Citations
An introduction to applied multivariate statistics

M. S. Srivastava;E. M. Carter

291
Citations
Comparison of EWMA, CUSUM and Shiryayev-Roberts Procedures for Detecting a Shift in the Mean

M. S. Srivastava;Yanhong Wu

195
Citations
Singular Wishart and multivariate beta distributions

M.S. Srivastava

188
Citations
Likelihood Ratio Tests for a Change in the Multivariate Normal Mean

M. S. Srivastava;K. J. Worsley

177
Citations
A measure of skewness and kurtosis and a graphical method for assessing multivariate normality

M.S. Srivastava

171
Citations
Testing the equality of several covariance matrices with fewer observations than the dimension

Muni S. Srivastava;Hirokazu Yanagihara

170
Citations
Models with a Kronecker product covariance structure: Estimation and testing

M. S. Srivastava;T. von Rosen;T. von Rosen;D. von Rosen

169
Citations
Multivariate Theory for Analyzing High Dimensional Data

M. S. Srivastava

167
Citations
A test for the mean vector with fewer observations than the dimension under non-normality

Unknown

162
Citations
A two sample test in high dimensional data

Muni S. Srivastava;Shota Katayama;Yutaka Kano

161
Citations
ON ASSESSING MULTIVARIATE NORMALITY BASED ON SHAPIRO-WILK W STATISTIC

M.S Srivastava;T.K Hui

127
Citations
Estimation of interclass correlations in familial data

M. S. Srivastava

104
Citations
Some One-Sided Tests for Change in Level

Ashish Sen;Muni S. Srivastava

100
Citations
Tests for Covariance Matrices in High Dimension with Less Sample Size

Muni S. Srivastava;Hirokazu Yanagihara;Tatsuya Kubokawa

98
Citations
Multivariate analysis of variance with fewer observations than the dimension

Muni S. Srivastava;Yasunori Fujikoshi

96
Citations
Models with a Kronecker Product Covariance Structure: Estimation and Testing

Muni S. Srivastava;Tatjana Nahtman;Dietrich von Rosen

3
Citations

Frequent Co-Authors

Rudolf Beran University of California, Davis

Aman Ullah University of California, Riverside

Nancy Reid University of Toronto

Malay Ghosh University of Florida

Keith J. Worsley McGill University

External Links

Personal website of Muni S. Srivastava

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens doors to various interdisciplinary careers. Many students complement their math skills with advanced degrees that enhance their marketability. For example, pursuing an ms in digital marketing degree cost usa can equip mathematicians with the analytical tools necessary for data-driven marketing roles.

For those aiming at leadership positions in tech or finance, enrolling in one year mba programs offers an accelerated path to business expertise without extensive time away from career commitments. Additionally, the flexibility of mba transfer credits allows students to build on prior coursework, possibly shortening the duration of study.

Data analytics is another booming field closely linked with mathematics. An ms in data analytics provides specialized skills to interpret and utilize complex data sets, making it a strong career pathway for math graduates seeking to enter tech, finance, or healthcare industries.