World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
70
Citations
26098
World Ranking
270
National Ranking
150

David Ruppert 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 David Ruppert 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: 262 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

David Ruppert 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 David Ruppert 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: 70 D-Index — 93rd percentile

93% 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

  • 1989 - Fellow of the American Statistical Association (ASA)

Overview

David Ruppert is affiliated with Cornell University in the United States. Their research primarily focuses on mathematics, with significant contributions in statistics and probability. Their work also spans related areas including artificial intelligence, molecular biology, finance, and control and systems engineering.

Their research topics include:

  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Control Systems and Identification
  • Gaussian Processes and Bayesian Inference
  • Spectroscopy and Chemometric Analyses

Recent publications by Ruppert feature a range of statistical and computational topics. Notable papers include:

  • Optimal Sampling for Generalized Linear Models Under Measurement Constraints, 2020, Journal of Computational and Graphical Statistics
  • Proteomics and Cytokine Analyses Distinguish Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Cases from Controls, 2023, Journal of Translational Medicine
  • Bootstrap Inference for Quantile-based Modal Regression, 2021, Journal of the American Statistical Association
  • Model Checking for Logistic Models When the Number of Parameters Tends to Infinity, 2022, Journal of Computational and Graphical Statistics
  • A Semiparametric Risk Score for Physical Activity, 2021, Statistics in Medicine

Frequent collaborators of Ruppert include:

  • Tao Zhang
  • Hua Liang
  • Tui H. Nolan
  • Jeff Goldsmith
  • Mohammad W. Hattab

Ruppert's research has been published regularly in venues such as:

  • arXiv (Cornell University)
  • Journal of Computational and Graphical Statistics
  • Journal of the American Statistical Association
  • Statistica Sinica
  • UNC Libraries

David Ruppert was recognized as a Fellow of the American Statistical Association (ASA) in 1989.

Best Publications

  • Transformation and Weighting in Regression

    R. J. Carroll;D. Ruppert

  • Measurement Error in Nonlinear Models

    Raymond J. Carroll;David Ruppert;Leonard A. Stefanski

  • Multivariate Locally Weighted Least Squares Regression

    D. Ruppert;M. P. Wand

  • An Effective Bandwidth Selector for Local Least Squares Regression

    D. Ruppert;S. J. Sheather;M. P. Wand

  • Selecting the Number of Knots for Penalized Splines

    David Ruppert

  • Trimmed Least Squares Estimation in the Linear Model

    David Ruppert;Raymond J. Carroll

  • Signal-to-noise ratios, performance criteria, and transformations

    George Box;Anne C. Shoemaker;Kwok-Leung Tsui;Ramon V. León

  • Penalized Spline Estimation for Partially Linear Single-Index Models

    Yan Yu;David Ruppert

  • Statistics and Data Analysis for Financial Engineering

    David Ruppert

  • A Note on Computing Robust Regression Estimates via Iteratively Reweighted Least Squares

    James O. Street;Raymond J. Carroll;David Ruppert

  • Likelihood ratio tests in linear mixed models with one variance component

    Ciprian M. Crainiceanu;David Ruppert

  • Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition

    Raymond J. Carroll;David Ruppert;Leonard A. Stefanski;Ciprian M. Crainiceanu

  • Regression depth. Commentaries. Rejoinder

    P. J. Rousseeuw;M. Hubert;X. He;R. Koenker

  • Bayesian Analysis for Penalized Spline Regression Using WinBUGS

    Ciprian M. Crainiceanu;David Ruppert;Matthew P. Wand

  • Efficient Estimations from a Slowly Convergent Robbins-Monro Process

    D. Ruppert

  • Transformations in Density Estimation

    M. P. Wand;J. S. Marron;D. Ruppert

  • Fitting a Bivariate Additive Model by Local Polynomial Regression

    Jean D. Opsomer;David Ruppert

  • Robust Estimation in Heteroscedastic Linear Models.

    Raymond J. Carroll;David Ruppert

  • Theory & Methods: Spatially‐adaptive Penalties for Spline Fitting

    David Ruppert;Raymond J. Carroll

  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction

    David Ruppert

  • Semiparametric Regression: Preface

    David Ruppert;M. P. Wand;R. J. Carroll

Frequent Co-Authors

Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Matt P. Wand
Matt P. Wand University of Technology Sydney
Leonard A. Stefanski
Leonard A. Stefanski North Carolina State University
Christine A. Shoemaker
Christine A. Shoemaker National University of Singapore
Hua Liang
Hua Liang George Washington University
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Giles Hooker
Giles Hooker University of Pennsylvania
Maureen R. Hanson
Maureen R. Hanson Cornell University
Edward W. Frees
Edward W. Frees University of Wisconsin–Madison
Dan Nettleton
Dan Nettleton Iowa State University

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond Mathematics, online degrees offer flexible options to enhance career prospects. A master's degree in marketing is an excellent choice for individuals looking to combine analytical skills with business strategy, providing a strong foundation for roles in market research and data-driven decision making.

If you are aiming for leadership positions, exploring year long mba programs can be a practical and time-efficient way to gain essential management knowledge without a lengthy commitment. These programs are designed for professionals eager to accelerate their careers rapidly.

Additionally, flexibility in education is enhanced by programs where can you transfer mba programs is a key consideration. Many online MBAs allow credit transfers, making it easier to switch schools or customize your learning path to better fit your evolving goals.

Lastly, for a career closely aligned with Mathematics, a data analytics masters offers specialized skills in interpreting large datasets, a vital asset in today’s data-driven industries. This degree opens doors in sectors like finance, technology, and healthcare, where quantitative proficiency is highly valued.

Best Scientists Citing David Ruppert

Trending Scientists

Recently Published Articles