World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
3836
World Ranking
3350
National Ranking
26

Stig Larsson 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 Stig Larsson 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: 98 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Stig Larsson 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 Stig Larsson 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: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Overview

Stig Larsson is affiliated with Chalmers University of Technology in Sweden. Their research spans several fields, focusing primarily on Engineering and Mathematics.

The scientist's work covers multiple subfields, including:

  • Computational Mechanics
  • Mechanical Engineering
  • Statistics and Probability
  • Computational Theory and Mathematics
  • Numerical Analysis

Research topics explored by Stig Larsson include:

  • Advanced Mathematical Modeling in Engineering
  • Differential Equations and Numerical Methods
  • Advanced Numerical Methods in Computational Mathematics
  • Meteorological Phenomena and Simulations
  • Model Reduction and Neural Networks
  • Target Tracking and Data Fusion in Sensor Networks
  • Additive Manufacturing Materials and Processes

Frequent coauthors collaborating with Stig Larsson are:

  • Ricardo H. Nochetto
  • Stefan Sauter
  • Christian Wieners
  • Kasper Bågmark
  • Adam Andersson

The scientist's publications have appeared in the following venues:

  • Oberwolfach Reports
  • Partial Differential Equations and Applications
  • Journal of Mathematics in Industry
  • BIT Numerical Mathematics

Recent papers by Stig Larsson include:

  • "Space-Time Methods for Time-Dependent Partial Differential Equations", 2023, Oberwolfach Reports
  • "An energy-based deep splitting method for the nonlinear filtering problem", 2023, Partial Differential Equations and Applications
  • "A greedy algorithm for optimal heating in powder-bed-based additive manufacturing", 2021, Journal of Mathematics in Industry
  • "Error estimates of the backward Euler-Maruyama method for multi-valued stochastic differential equations", 2021, BIT Numerical Mathematics

Best Publications

  • Partial Differential Equations with Numerical Methods

    Stig Larsson;Vidar Thomée

  • Error estimates with smooth and nonsmooth data for a finite element method for the Cahn-Hilliard equation

    Charles M. Elliott;Stig Larsson

  • Numerical solution of parabolic integro-differential equations by the discontinuous Galerkin method

    Stig Larsson;Vidar Thomée;Lars B. Wahlbin

  • Adaptive Finite Element Methods for Parabolic Problems VI: Analytic Semigroups

    Kenneth Eriksson;Claes Johnson;Stig Larsson

  • The stability of rational approximations of analytic semigroups

    Michel Crouzeix;Stig Larsson;Sergei Piskarev;Vidar Thomee

  • Posterior Contraction Rates for the Bayesian Approach to Linear Ill-Posed Inverse Problems

    Sergios Agapiou;Stig Larsson;Stig Larsson;Andrew M. Stuart

  • Finite Element Approximation of the Linear Stochastic Wave Equation with Additive Noise

    Mihály Kovács;Stig Larsson;Fardin Saedpanah

  • Finite-Element Methods for a Strongly Damped Wave Equation

    Stig Larsson;Vidar Thomée;Lars B. Wahlbin

  • A finite element model for the time-dependent Joule heating problem

    Charles M. Elliott;Stig Larsson

  • Weak convergence of finite element approximations of linear stochastic evolution equations with additive noise

    Mihály Kovács;Stig Larsson;Fredrik Lindgren

  • The long-time behavior of finite-element approximations of solutions of semilinear parabolic problems

    Stig Larsson

  • Weak convergence for a spatial approximation of the nonlinear stochastic heat equation

    Adam Andersson;Stig Larsson

  • Full Discretization of Semilinear Stochastic Wave Equations Driven by Multiplicative Noise

    Rikard Anton;David Cohen;Stig Larsson;Xiaojie Wang

  • Error estimates for spatially discrete approximations of semilinear parabolic equations with nonsmooth initial data

    Claes Johnson;Stig Larsson;Vidar Thomée;Lars B. Wahlbin

  • Strong convergence of the finite element method with truncated noise for semilinear parabolic stochastic equations with additive noise

    Mihály Kovács;Stig Larsson;Fredrik Lindgren

  • Adaptive discretization of fractional order viscoelasticity using sparse time history

    Klas Adolfsson;Mikael Enelund;Stig Larsson

  • Rate of weak convergence of the finite element method for the stochastic heat equation with additive noise

    Matthias Geissert;Mihály Kovács;Stig Larsson

  • Error Estimates of Optimal Order for Finite Element Methods with Interpolated Coefficients for the Nonlinear Heat Equation

    Chuan-Miao Chen;Stig Larsson;Nai-Ying Zhang

  • Weak convergence of finite element approximations of linear stochastic evolution equations with additive noise II. Fully discrete schemes

    Mihály Kovács;Stig Larsson;Fredrik Lindgren

  • Discontinuous Galerkin method for an integro-differential equation modeling dynamic fractional order viscoelasticity

    Stig Larsson;Milena Racheva;Fardin Saedpanah

  • Introduction to stochastic partial differential equations

    Mihaly Kovacs;Stig Larsson

  • The continuous Galerkin method for an integro-differential equation modeling dynamic fractional order viscoelasticity

    Stig Larsson;Fardin Saedpanah

  • Full discretisation of semi-linear stochastic wave equations driven by multiplicative noise

    Rikard Anton;David Cohen;Stig Larsson;Xiaojie Wang

Frequent Co-Authors

Vidar Thomée
Vidar Thomée Chalmers University of Technology
Charles M. Elliott
Charles M. Elliott University of Warwick
Ricardo H. Nochetto
Ricardo H. Nochetto University of Maryland, College Park
Rikard Söderberg
Rikard Söderberg Chalmers University of Technology
Claes Johnson
Claes Johnson Royal Institute of Technology
Jesús María Sanz-Serna
Jesús María Sanz-Serna Carlos III University of Madrid
Andrew M. Stuart
Andrew M. Stuart California Institute of Technology
Raul Tempone
Raul Tempone King Abdullah University of Science and Technology

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