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D-Index & Metrics

Mathematics

D-Index
66
Citations
45029
World Ranking
347
National Ranking
189

Grace Wahba 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 Grace Wahba 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: 195 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Grace Wahba 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 Grace Wahba 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: 66 D-Index — 90th percentile

90% 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

  • 2009 - SIAM Fellow For advances in the analysis of experimental data.
  • 2003 - Wald Memorial Lecturer
  • 2000 - Member of the National Academy of Sciences
  • 1997 - Fellow of the American Academy of Arts and Sciences
  • 1986 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1980 - Fellow of the American Statistical Association (ASA)

Overview

Grace Wahba is affiliated with the University of Wisconsin-Madison in the United States and conducts research primarily in the field of engineering. Their work spans several subfields, notably mechanical engineering and computational mechanics.

The scientist's research topics focus on advanced numerical analysis techniques, advanced measurement and metrology techniques, and advanced machining processes and optimization. These topics indicate a strong emphasis on both theoretical methods and practical applications within engineering disciplines.

The specific subfields of study include:

  • Mechanical Engineering
  • Computational Mechanics

Their main fields of study consist of:

  • Engineering

The main research topics are:

  • Advanced Numerical Analysis Techniques
  • Advanced Measurement and Metrology Techniques
  • Advanced machining processes and optimization

Grace Wahba has received several honors throughout their career. These include being named a SIAM Fellow in 2009, recognized specifically for advances in the analysis of experimental data. They were the Wald Memorial Lecturer in 2003 and elected as a Member of the National Academy of Sciences in 2000.

Additional distinctions include fellowships in prestigious organizations: the American Academy of Arts and Sciences (1997), the American Association for the Advancement of Science (AAAS) in 1986, and the American Statistical Association (ASA) in 1980.

Best Publications

  • Spline models for observational data

    Grace Wahba

  • Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter

    Gene H. Golub;Michael Heath;Grace Wahba

  • Smoothing Noisy Data with Spline Functions Estimating the Correct Degree of Smoothing by the Method of Generalized Cross-Validation*

    Peter Craven;Grace Wahba

  • Smoothing noisy data with spline functions

    Grace Wahba

  • Some results on Tchebycheffian spline functions

    George S. Kimeldorf;Grace Wahba

  • A Least Squares Estimate of Satellite Attitude

    Grace Wahba

  • A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines

    George S. Kimeldorf;Grace Wahba

  • Multicategory Support Vector Machines

    Yoonkyung Lee;Yi Lin;Grace Wahba

  • Practical Approximate Solutions to Linear Operator Equations When the Data are Noisy

    Grace Wahba

  • Bayesian "Confidence Intervals" for the Cross-validated Smoothing Spline

    Grace Wahba

  • Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in Regression

    Grace Wahba

  • Some New Mathematical Methods for Variational Objective Analysis Using Splines and Cross Validation

    Grace Wahba;James Wendelberger

  • A Comparison of GCV and GML for Choosing the Smoothing Parameter in the Generalized Spline Smoothing Problem

    Grace Wahba

  • A completely automatic french curve: fitting spline functions by cross validation

    G. Wahba;S. Wold

  • Support Vector Machines for Classification in Nonstandard Situations

    Yi Lin;Yoonkyung Lee;Grace Wahba

  • Spline Interpolation and Smoothing on the Sphere

    Grace Wahba

  • A NOTE ON THE LASSO AND RELATED PROCEDURES IN MODEL SELECTION

    Chenlei Leng;Yi Lin;Grace Wahba

  • Smoothing spline ANOVA for exponential families, with application to the Wisconsin Epidemiological Study of Diabetic Retinopathy : the 1994 Neyman Memorial Lecture

    Grace Wahba;Yuedong Wang;Chong Gu;Ronald Klein

  • Automatic Smoothing of the Log Periodogram

    Grace Wahba

  • Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method.

    Chong Gu;Grace Wahba

  • Some new mathematical methods for variational objective analysis

    Grace Wahba;Donald R. Johnson

Frequent Co-Authors

Barbara E. K. Klein
Barbara E. K. Klein University of Wisconsin–Madison
Ronald Klein
Ronald Klein University of Wisconsin–Madison
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
Sterling C. Johnson
Sterling C. Johnson University of Wisconsin–Madison
Vikas Singh
Vikas Singh University of Wisconsin–Madison
Michael T. Heath
Michael T. Heath University of Illinois at Urbana-Champaign
Moo K. Chung
Moo K. Chung University of Wisconsin–Madison
Ming Yuan
Ming Yuan Columbia University
Gene H. Golub
Gene H. Golub Stanford University
Douglas M. Bates
Douglas M. Bates University of Wisconsin–Madison

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