World's Best Scientists 2026 revealed!
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Mathematics
Australia
2026

D-Index & Metrics

Mathematics

D-Index
68
Citations
16664
World Ranking
315
National Ranking
6

Kevin Burrage 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 Kevin Burrage 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: 358 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Kevin Burrage 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 Kevin Burrage 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: 68 D-Index — 92nd percentile

92% 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

  • 2026 - Research.com Mathematics in Australia Leader Award
  • 2025 - Research.com Mathematics in Australia Leader Award

Overview

Kevin Burrage is affiliated with the Queensland University of Technology in Australia. Their work spans multiple areas in science and mathematics, with a primary focus on medical and mathematical research. The breadth of their studies includes both theoretical and applied approaches.

The scientist's recent publications illustrate diverse interests and contributions across several topics and journals. Their recent papers include:

  • An improved firefly algorithm for global continuous optimization problems, 2020, Expert Systems with Applications
  • Identifiability analysis for stochastic differential equation models in systems biology, 2020, Journal of The Royal Society Interface
  • Support vector regression with asymmetric loss for optimal electric load forecasting, 2021, Energy
  • An investigation of nonlinear time-fractional anomalous diffusion models for simulating transport processes in heterogeneous binary media, 2020, Communications in Nonlinear Science and Numerical Simulation
  • Analysis of sloppiness in model simulations: unveiling parameter uncertainty when mathematical models are fitted to data, 2022, arXiv (Cornell University)

Their frequent co-authors reflect a collaborative network within computational, mathematical, and biological sciences. Some of the scientists with whom they have most consistently collaborated are:

  • Pamela Burrage
  • Brodie Lawson
  • Alfonso Bueno-Orovio
  • Rodrigo Weber dos Santos
  • Matthew J. Simpson

Publication venues that appear regularly in their work include:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • Numerical Algorithms
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of The Royal Society Interface

Kevin Burrage's research focuses on two main fields of study:

  • Medicine
  • Mathematics

Within these fields, they have contributed substantially to several subfields such as:

  • Molecular Biology
  • Cardiology and Cardiovascular Medicine
  • Modeling and Simulation
  • Numerical Analysis
  • Computational Theory and Mathematics

The topics most frequently addressed in their work include:

  • Gene Regulatory Network Analysis
  • Numerical methods for differential equations
  • Mathematical Biology Tumor Growth
  • Cardiac electrophysiology and arrhythmias
  • Stochastic processes and financial applications
  • ECG Monitoring and Analysis
  • Fractional Differential Equations Solutions

Best Publications

  • Stability and convergence of the difference methods for the space–time fractional advection–diffusion equation

    Fawang Liu;Fawang Liu;Pinghui Zhuang;Vo Anh;Ian Turner

  • Parallel and Sequential Methods for Ordinary Differential Equations

    Kevin Burrage

  • Stability Criteria for Implicit Runge–Kutta Methods

    Kevin Burrage;J. C. Butcher

  • Binomial leap methods for simulating stochastic chemical kinetics.

    Tianhai Tian;Kevin Burrage

  • Fourier spectral methods for fractional-in-space reaction-diffusion equations

    Alfonso Bueno-Orovio;David Kay;Kevin Burrage;Kevin Burrage

  • A Crank-Nicolson adi spectral method for a two-dimensional Riesz space fractional nonlinear reaction-diffusion equation

    Fanhai Zeng;Fawang Liu;Changpin Li;Kevin Burrage

  • Non-linear stability of a general class of differential equation methods

    Kevin Burrage;J. C. Butcher

  • Oscillatory Regulation of Hes1: Discrete Stochastic Delay Modelling and Simulation

    Manuel Barrio;Kevin Burrage;André Leier;Tianhai Tian

  • Stochastic models for regulatory networks of the genetic toggle switch

    Tianhai Tian;Kevin Burrage

  • Restarted GMRES preconditioned by deflation

    Jocelyne Erhel;Kevin Burrage;Bert Pohl

  • High strong order explicit Runge-Kutta methods for stochastic ordinary differential equations

    Kevin Burrage;Pamela Burrage

  • Numerical methods and analysis for a class of fractional advection-dispersion models

    F. Liu;P. Zhuang;K. Burrage

  • An efficient implicit FEM scheme for fractional-in-space reaction-diffusion equations

    Kevin Burrage;Nicholas Hale;David Kay

  • A new fractional finite volume method for solving the fractional diffusion equation

    Fawang Liu;Pinghui Zhuang;Ian Turner;Kevin Burrage;Kevin Burrage

  • Numerical methods for strong solutions of stochastic differential equations: an overview

    Kevin Burrage;Pamela Burrage;Tianhai Tian

  • A special family of Runge-Kutta methods for solving stiff differential equations

    Kevin Burrage

  • Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization

    Alfonso Bueno-Orovio;David Kay;Vicente Grau;Blanca Rodriguez

  • Analytical solutions for the multi-term time-fractional diffusion-wave/diffusion equations in a finite domain

    H. Jiang;F. Liu;I. Turner;K. Burrage

  • Numerical method and analytical technique of the modified anomalous subdiffusion equation with a nonlinear source term

    F. Liu;C. Yang;K. Burrage

  • Order conditions of stochastic Runge-Kutta methods by B-series

    Kevin Burrage;Pamela Burrage

  • Identifying optimal lipid raft characteristics required to promote nanoscale protein-protein interactions on the plasma membrane.

    Dan V. Nicolau;Kevin Burrage;Robert G. Parton;John F. Hancock

Frequent Co-Authors

Fawang Liu
Fawang Liu Queensland University of Technology
Ian Turner
Ian Turner Queensland University of Technology
André Leier
André Leier University of Alabama at Birmingham
Graeme R. Hanson
Graeme R. Hanson University of Queensland
Vo Anh
Vo Anh Queensland University of Technology
Tamás Székely
Tamás Székely University of Bath
Matthew J. Simpson
Matthew J. Simpson Queensland University of Technology
Mark A. Griffin
Mark A. Griffin Curtin University
Zdzislaw Jackiewicz
Zdzislaw Jackiewicz Arizona State University
Mark A. Ragan
Mark A. Ragan University of Queensland

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