World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
51
Citations
9402
World Ranking
1034
National Ranking
481

David W. McLaughlin 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 David W. McLaughlin 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: 129 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

David W. McLaughlin 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 David W. McLaughlin 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: 51 D-Index — 73rd percentile

73% 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

  • 2013 - Fellow of the American Mathematical Society
  • 2009 - SIAM Fellow For contributions to dispersive waves and the analysis of behaviors of nonlinear systems.
  • 2003 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2002 - Member of the National Academy of Sciences
  • 2000 - Fellow of the American Academy of Arts and Sciences

Overview

David W. McLaughlin is affiliated with the Courant Institute of Mathematical Sciences in the United States. Their research is concentrated in the field of Neuroscience, with a particular focus on subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, and Statistical and Nonlinear Physics.

Their work covers a range of topics such as:

  • Neural dynamics and brain function
  • Photoreceptor and optogenetics research
  • Neuroscience and Neuropharmacology Research
  • Advanced Memory and Neural Computing
  • Stochastic dynamics and bifurcation
  • Neuroscience and Neural Engineering
  • CO2 Reduction Techniques and Catalysts

Frequent coauthors in McLaughlin's publications include:

  • Douglas Zhou
  • Songting Li
  • Zhong-qi K. Tian
  • Kai Chen
  • Simon Thiele

Common venues where McLaughlin publishes are:

  • Proceedings of the National Academy of Sciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Joule
  • Communications on Pure and Applied Mathematics
  • Journal of Computational Neuroscience

Recent papers authored or coauthored by McLaughlin include:

  • "Scalability and stability in CO2 reduction via tomography-guided system design," 2024, Joule
  • "A biochemical description of postsynaptic plasticity-with timescales ranging from milliseconds to seconds," 2024, Proceedings of the National Academy of Sciences
  • "Mathematical Modeling and Analysis of Spatial Neuron Dynamics: Dendritic Integration and Beyond," 2021, Communications on Pure and Applied Mathematics
  • "Causal connectivity measures for pulse-output network reconstruction: Analysis and applications," 2024, Proceedings of the National Academy of Sciences
  • "Ring models of binocular rivalry and fusion," 2020, Journal of Computational Neuroscience

Throughout their career, McLaughlin has received several distinctions including:

  • Fellow of the American Mathematical Society, 2013
  • SIAM Fellow, 2009, recognized for contributions to dispersive waves and the analysis of behaviors of nonlinear systems
  • Fellow of the American Association for the Advancement of Science (AAAS), 2003
  • Member of the National Academy of Sciences, 2002
  • Fellow of the American Academy of Arts and Sciences, 2000

Best Publications

  • The soliton: A new concept in applied science

    A.C. Scott;F.Y.F. Chu;D.W. McLaughlin

  • Multiphase averaging and the inverse spectral solution of the Korteweg—de Vries equation

    Hermann Flaschka;M. G. Forest;D. W. McLaughlin

  • Canonically Conjugate Variables for the Korteweg-de Vries Equation and the Toda Lattice with Periodic Boundary Conditions*)

    H. Flaschka;David McLaughlin

  • A One-Dimensional Model for Dispersive Wave Turbulence

    A. J. Majda;D. W. McLaughlin;E. G. Tabak

  • Solitons under perturbations

    J. P. Keener;D. W. McLaughlin

  • Geometry of the modulational instability III. Homoclinic orbits for the periodic sine-Gordon equation

    N. Ercolani;M. G. Forest;D. W. McLaughlin

  • Path Integrals in Curved Spaces

    David W. McLaughlin;L. S. Schulman

  • Focusing singularity of the cubic Schrödinger equation

    DW McLaughlin;GC Papanicolaou;C Sulem;PL Sulem

  • The Semiclassical Limit of the Defocusing NLS Hierarchy

    Shan Jin;C. David Levermore;David W. McLaughlin

  • Convection of Microstructure and Related Problems

    D. W. McLaughlin;G. C. Papanicolaou;O. R. Pironneau

  • Spectral theory for the periodic sine‐Gordon equation: A concrete viewpoint

    M. Gregory Forest;David W. McLaughlin

  • Complex Time, Contour Independent Path Integrals, and Barrier Penetration

    David W. McLaughlin

  • Morse and Melnikov functions for NLS Pde's

    Y. Li;David W. McLaughlin

  • A quasi-periodic route to chaos in a near-integrable pde

    A R Bishop;M G Forest;D W McLaughlin;E A Overman

  • An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex

    David Cai;Louis Tao;Michael Shelley;David W. McLaughlin

  • How Simple Cells Are Made in a Nonlinear Network Model of the Visual Cortex

    D. J. Wielaard;Michael Shelley;David McLaughlin;Robert Shapley

  • Dispersive wave turbulence in one dimension

    David Cai;Andrew J. Majda;David W. McLaughlin;Esteban G. Tabak

  • On Davydov's alpha-helix solitons

    J.M. Hyman;D.W. McLaughlin;A.C. Scott

  • New class of instabilities in passive optical cavities.

    D. W. McLaughlin;J. V. Moloney;A. C. Newell

  • PERSISTENT HOMOCLINIC ORBITS FOR A PERTURBED NONLINEAR SCHRODINGER EQUATION

    Y. Li;David W. McLaughlin;Jalal Shatah;S. Wiggins

Frequent Co-Authors

Michael Shelley
Michael Shelley Courant Institute of Mathematical Sciences
Robert Shapley
Robert Shapley New York University
George Papanicolaou
George Papanicolaou Stanford University
Jerome V. Moloney
Jerome V. Moloney University of Arizona
Alan C. Newell
Alan C. Newell University of Arizona
Andrew J. Majda
Andrew J. Majda Courant Institute of Mathematical Sciences
Jalal Shatah
Jalal Shatah Courant Institute of Mathematical Sciences
James P. Keener
James P. Keener University of Utah
Barbara A. Cornblatt
Barbara A. Cornblatt Feinstein Institute for Medical Research
Olivier Pironneau
Olivier Pironneau Sorbonne University

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