World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
12940
World Ranking
1426
National Ranking
632

Dipak K. Dey 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 Dipak K. Dey sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 359 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Dipak K. Dey 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 Dipak K. Dey sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 45 D-Index — 61st percentile

61% 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

  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1997 - Fellow of the American Statistical Association (ASA)

Overview

Dipak K. Dey is affiliated with the University of Connecticut in the United States. Their research primarily spans the field of mathematics, with a strong focus on statistics and probability.

The main areas of study covered in their work include:

  • Statistics and Probability
  • Artificial Intelligence
  • Economics and Econometrics
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty

Their research topics are centered around:

  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Spatial and Panel Data Analysis
  • Economic and Environmental Valuation

Frequent co-authors of Dipak K. Dey include:

  • Víctor H. Lachos (9 collaborative works)
  • Shariq Mohammed (5 collaborative works)
  • Marcos O. Prates (4 collaborative works)
  • Pedro Luiz Ramos (4 collaborative works)
  • Francisco Louzada (4 collaborative works)

Their recent publications feature research across various journals and topics:

  • Prostate Cancer Diagnosis in the Clinic Using an 8-Protein Biomarker Panel, 2020, Analytical Chemistry
  • On Moments of Folded and Doubly Truncated Multivariate Extended Skew-Normal Distributions, 2021, Journal of Computational and Graphical Statistics
  • Three-dimensional polarimetric integral imaging in photon-starved conditions: performance comparison between visible and long wave infrared imaging, 2020, Optics Express
  • Heckman selection-t model: Parameter estimation via the EM-algorithm, 2021, Journal of Multivariate Analysis
  • An extended poisson family of life distribution: a unified approach in competitive and complementary risks, 2020, Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)

Dipak K. Dey has published frequently in venues such as:

  • arXiv (Cornell University) with 13 publications
  • Journal of Computational and Graphical Statistics with 2 publications
  • Journal of Multivariate Analysis with 2 publications
  • Canadian Journal of Statistics with 2 publications
  • Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) with 2 publications

They have received recognition in their field, including being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2011 and a Fellow of the American Statistical Association (ASA) in 1997.

Best Publications

  • Bayesian Model Choice: Asymptotics and Exact Calculations

    Alan E Gelfand;D K Dey

  • Model Determination Using Predictive Distributions with Implementation via Sampling-Based Methods

    Alan E. Gelfand;Dipak K. Dey;Hong Chang

  • A General Class of Multivariate Skew-Elliptical Distributions

    Márcia D. Branco;Dipak K. Dey

  • A new class of multivariate skew distributions with applications to Bayesian regression models

    Sujit K. Sahu;Dipak K. Dey;Márcia D. Branco

  • A Bayesian approach to inferring population structure from dominant markers

    Kent E. Holsinger;Paul O. Lewis;Dipak K. Dey

  • Estimation of a covariance matrix under Stein's loss

    Dipak K. Dey;C. Srinivasan

  • Skewed multivariate models related to hidden truncation and/or selective reporting

    Barry C. Arnold;Robert J. Beaver;A. Azzalini;N. Balakrishnan

  • A first course in linear model theory

    Nalini Ravishanker;Dipak K. Dey

  • A double blind, randomized, placebo controlled study of the efficacy and safety of 5-Loxin ® for treatment of osteoarthritis of the knee

    Krishanu Sengupta;Krishnaraju V. Alluri;Andey Rama Satish;Simanchala Mishra

  • Generalized Linear Models : A Bayesian Perspective

    Dipak K. Dey;Sujit K. Ghosh;Bani K. Mallick

  • Semiparametric Bayesian analysis of survival data

    Debajyoti Sinha;Dipak K. Dey

  • A New Skewed Link Model for Dichotomous Quantal Response Data

    Ming-Hui Chen;Dipak K. Dey;Qi-Man Shao

  • A Weibull Regression Model with Gamma Frailties for Multivariate Survival Data

    Sujit K. Sahu;Dipak K. Dey;Helen Aslanidou;Debajyoti Sinha

  • To Bayes or Not to Bayes, From Whether to When: Applications of Bayesian Methodology to Modeling

    Andre A. Rupp;Dipak K. Dey;Bruno D. Zumbo

  • Bayesian Approach for Nonlinear Random Effects Models

    Dipak K. Dey;Ming-Hui Chen;Hong Chang

  • Frequentist validity of posterior quantiles in the presence of a nuisance parameter : higher order asymptotics

    Rahul Mukerjee;Dipak K. Dey

  • Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption

    Xia Wang;Dipak K. Dey

  • Bayesian analysis of multivariate survival data using Monte Carlo methods

    Helen Aslanidou;Dipak K. Dey;Dipak K. Dey;Debajyoti Sinha

  • Bayesian analysis of outlier problems using divergence measures

    Fengchun Peng;Dipak K. Dey

  • Simultaneous estimation of parameters under entropy loss

    Dipak K. Dey;Malay Ghosh;C. Srinivasan

  • Approximatereference priors in the presence of latent structures

    Ming-Hui Chen;Peter Müller;Dongchu Sun;Keying Ye

Frequent Co-Authors

Ming-Hui Chen
Ming-Hui Chen University of Connecticut
Bani K. Mallick
Bani K. Mallick Texas A&M University
Peter Müller
Peter Müller The University of Texas at Austin
Victor H. Lachos
Victor H. Lachos University of Connecticut
Alan E. Gelfand
Alan E. Gelfand Duke University
Jun Yan
Jun Yan University of Connecticut
Francisco Louzada
Francisco Louzada Universidade de São Paulo
Kent E. Holsinger
Kent E. Holsinger University of Connecticut
Bahram Javidi
Bahram Javidi University of Connecticut
Sudipto Banerjee
Sudipto Banerjee University of California, Los Angeles

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Related Online Degrees & Career Pathways

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Moreover, easiest online MBA programs to get into offer the advantage of flexibility and convenience. They are designed for working professionals or students seeking a manageable workload, making them ideal complements to a background in Mathematics.

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