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D-Index & Metrics

Mathematics

D-Index
38
Citations
11381
World Ranking
2278
National Ranking
964

Leonard A. Stefanski 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 Leonard A. Stefanski 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: 107 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Leonard A. Stefanski 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 Leonard A. Stefanski 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: 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

  • 1996 - Fellow of the American Statistical Association (ASA)

Overview

Leonard A. Stefanski is affiliated with North Carolina State University in the United States. Their research spans several interconnected fields, primarily focused on advanced statistical methods, decision sciences, and engineering. Stefanski's work explores complex topics within mathematics and applied statistics, addressing both theoretical and practical challenges.

The main fields of study connected to Stefanski's research are:

  • Mathematics
  • Decision Sciences
  • Engineering

Within these broader areas, their research engages with several subfields, including:

  • Statistics and Probability
  • Control and Systems Engineering
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research

Key research topics Stefanski focuses on are:

  • Advanced Statistical Methods and Models
  • Advanced Statistical Process Monitoring
  • Statistical Methods and Inference
  • Control Systems and Identification
  • Advanced Control Systems Design
  • Grey System Theory Applications

The scientist has published several papers recently, highlighting contributions to statistical theory and regression techniques. Notable recent publications include:

  • "Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife," 2021, arXiv (Cornell University)
  • "Fractional Ridge Regression," 2025, Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)
  • "Non-null Shrinkage Regression and Subset Selection via the Fractional Ridge Regression," 2025, arXiv (Cornell University)

Stefanski has collaborated with various other researchers in their field, including:

  • Wei Peng
  • Lucas Mentch
  • Simon S. Park

The primary venues for Stefanski's published work are:

  • arXiv (Cornell University)
  • Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)

Recognition of their professional contributions includes the award of Fellow of the American Statistical Association (ASA) in 1996.

Best Publications

  • Measurement Error in Nonlinear Models

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

  • Simulation-extrapolation estimation in parametric measurement error models

    J. R. Cook;Leonard A. Stefanski

  • Deconvolving kernel density estimators

    Leonard A. Stefanski;Raymond J. Carroll

  • The Calculus of M-Estimation

    Leonard A Stefanski;Dennis D Boos

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

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

  • Deconvoluting kernel density estimators

    Leonard A. Stefanski;Raymond J. Carroll

  • Regression depth. Commentaries. Rejoinder

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

  • Approximate Quasi-likelihood Estimation in Models with Surrogate Predictors

    Raymond J. Carroll;Leonard A. Stefanski

  • Conditional scores and optimal scores for generalized linear measurement-error models

    Leonard A. Stefanski;Raymond J. Carroll

  • Simulation-Extrapolation: The Measurement Error Jackknife

    Leonard A. Stefanski;J. R. Cook

  • Covariate Measurement Error in Logistic Regression

    Leonard A. Stefanski;Raymond J. Carroll

  • Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models

    Raymond J. Carroll;Helmut Küchenhoff;F. Lombard;Leonard A. Stefanski

  • Conditionally Unbiased Bounded-Influence Estimation in General Regression Models, with Applications to Generalized Linear Models

    Hans R. Künsch;Leonard A. Stefanski;Raymond J. Carroll

  • The effects of measurement error on parameter estimation

    Leonard A. Stefanski

  • Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models

    Leonard A. Stefanski

  • Essential Statistical Inference

    Dennis D Boos;L. A Stefanski

  • Essential statistical inference : theory and methods

    Dennis D. Boos;Leonard A. Stefanski

  • P-Value Precision and Reproducibility.

    Dennis D. Boos;Leonard A. Stefanski

  • Optimally bounded score functions for generalized linear models with applications to logistic regression

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

  • Rates of convergence of some estimators in a class of deconvolution problems

    Leonard A. Stefanski

  • Measurement Error Models

    L. A. Stefanski

Frequent Co-Authors

Raymond J. Carroll
Raymond J. Carroll Texas A&M University
David Ruppert
David Ruppert Cornell University
Dennis D. Boos
Dennis D. Boos North Carolina State University
Marie Davidian
Marie Davidian North Carolina State University
Kenneth H. Pollock
Kenneth H. Pollock North Carolina State University
Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
Allen S. Heagle
Allen S. Heagle North Carolina State University
Viney P. Aneja
Viney P. Aneja North Carolina State University
Fitzgerald L. Booker
Fitzgerald L. Booker North Carolina State University

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