World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
55
Citations
27224
World Ranking
764
National Ranking
57

Simon N. Wood 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 Simon N. Wood 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: 113 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Simon N. Wood 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 Simon N. Wood 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: 55 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Simon N. Wood is affiliated with the University of Edinburgh in the United Kingdom. Their research primarily spans the field of Mathematics with significant contributions to several subfields including Statistics and Probability, Economics and Econometrics, Astronomy and Astrophysics, Geometry and Topology, and Artificial Intelligence.

The scientist's work covers a range of advanced topics and methods. These include:

  • Algebraic structures and combinatorial models
  • Statistical Methods and Inference
  • Homotopy and Cohomology in Algebraic Topology
  • COVID-19 epidemiological studies
  • Advanced Topics in Algebra
  • Statistical Methods and Bayesian Inference
  • Spatial and Panel Data Analysis

Simon N. Wood has published extensively in various venues. The frequent publication outlets include:

  • arXiv (Cornell University)
  • Biometrics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Test
  • Planetary and Space Science

Their recent scholarly articles illustrate a focus on statistical modeling and application in both theoretical and applied contexts. Selected papers include:

  • Generalized Additive Models (2024), Annual Review of Statistics and Its Application
  • Inference and computation with generalized additive models and their extensions (2020), Test

Among frequent co-authors are Christoph Schweigert, Paul McKeigue, Matteo Fasiolo, Ernst C. Wit, and Nicole H. Augustin, indicating collaborative work across interdisciplinary fields.

Best Publications

  • Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models

    Simon N. Wood

  • Thin plate regression splines

    Simon N. Wood

  • Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models

    Simon N Wood

  • Smoothing Parameter and Model Selection for General Smooth Models

    Simon N. Wood;Natalya Pya;Benjamin Säfken

  • GAMs with integrated model selection using penalized regression splines and applications to environmental modelling

    Simon N. Wood;Nicole H. Augustin

  • Modelling and smoothing parameter estimation with multiple quadratic penalties

    S. N. Wood

  • Practical variable selection for generalized additive models

    Giampiero Marra;Simon N. Wood

  • Fast stable direct fitting and smoothness selection for generalized additive models

    Simon N. Wood

  • Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models

    Simon N. Wood

  • Statistical inference for noisy nonlinear ecological dynamic systems

    Simon N. Wood

  • mgcv:Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation

    Simon Wood

  • WHY DO POPULATIONS CYCLE? A SYNTHESIS OF STATISTICAL AND MECHANISTIC MODELING APPROACHES

    Bruce E. Kendall;Cheryl J. Briggs;William W. Murdoch;Peter Turchin

  • On p-values for smooth components of an extended generalized additive model

    Simon N. Wood

  • Generalized additive models for large data sets

    Simon N. Wood;Yannig Goude;Simon Shaw

  • Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference

    Carsten F. Dormann;Justin M. Calabrese;Gurutzeta Guillera-Arroita;Eleni Matechou

  • Coverage Properties of Confidence Intervals for Generalized Additive Model Components

    Giampiero Marra;Simon N. Wood

  • Shape constrained additive models

    Natalya Pya;Simon N. Wood

  • Fast Calibrated Additive Quantile Regression

    Matteo Fasiolo;Simon N. Wood;Margaux Zaffran;Raphaël Nedellec

  • ON CONFIDENCE INTERVALS FOR GENERALIZED ADDITIVE MODELS BASED ON PENALIZED REGRESSION SPLINES

    Simon N. Wood

  • Analyzing the Time Course of Pupillometric Data.

    Jacolien van Rij;Petra Hendriks;Hedderik van Rijn;R. Harald Baayen

  • Soap film smoothing

    Simon N. Wood;Mark V. Bravington;Sharon L. Hedley

Frequent Co-Authors

Roger M. Nisbet
Roger M. Nisbet University of California, Santa Barbara
William Gurney
William Gurney University of Strathclyde
Michael R. Heath
Michael R. Heath University of Strathclyde
Edward McCauley
Edward McCauley University of Calgary
Bruce E. Kendall
Bruce E. Kendall University of California, Santa Barbara
Cheryl J. Briggs
Cheryl J. Briggs University of California, Santa Barbara
Matthew B. Thomas
Matthew B. Thomas Pennsylvania State University
Stephen P. Ellner
Stephen P. Ellner Cornell University
William W. Murdoch
William W. Murdoch University of California, Santa Barbara
R. Harald Baayen
R. Harald Baayen University of Tübingen

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 students pursuing Mathematics in the USA, related online degrees can open diverse career pathways. For instance, data analytics is a field closely tied to mathematics, with programs designed to enhance statistical and analytical skills. Exploring the best masters in data analytics programs can help graduates position themselves for roles in data science, finance, and technology.

For those interested in blending mathematical expertise with leadership, pursuing an MBA can be a strategic choice. Many students seek programs that balance quality with accessibility, such as the easiest mba to get into, which can offer a quicker, more straightforward admissions route.

Additionally, online options make it easier to juggle studies with work or personal commitments. The easiest online mba program selections highlight flexible degrees that accommodate busy schedules without compromising on education quality.

For those aiming at advanced leadership or academic roles, the dba programs (Doctor of Business Administration) provide an affordable pathway to higher qualifications, merging business acumen with research skills valuable in many industries.

Best Scientists Citing Simon N. Wood

Trending Scientists

Recently Published Articles