World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
68
Citations
18362
World Ranking
312
National Ranking
174

Wolfgang Dahmen 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 Wolfgang Dahmen 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: 257 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Wolfgang Dahmen 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 Wolfgang Dahmen 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

  • 2019 - SIAM Fellow For contributions to numerical methods for partial differential equations, signal processing, and learning.
  • 2009 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Mathematics

Overview

Wolfgang Dahmen is affiliated with the University of South Carolina in the United States. Their research spans the fields of Engineering and Physics and Astronomy, with a focus on several key subfields including Computational Mechanics, Electrical and Electronic Engineering, Nuclear and High Energy Physics, Applied Mathematics, and Astronomy and Astrophysics.

The main topics of Dahmen's work cover a range of advanced scientific areas, such as:

  • Advanced Numerical Methods in Computational Mathematics
  • Magnetic confinement fusion research
  • Electromagnetic Simulation and Numerical Methods
  • Gas Dynamics and Kinetic Theory
  • Computational Fluid Dynamics and Aerodynamics
  • Particle accelerators and beam dynamics
  • Plasma Diagnostics and Applications

Wolfgang Dahmen has a notable publication record, contributing to several respected venues. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • Journal of Scientific Computing
  • Journal of Computational Physics
  • SSRN Electronic Journal
  • Computer Physics Communications

Recent papers authored or co-authored by Dahmen feature topics related to electromagnetic methods, plasma physics, and computational frameworks. These include:

  • Variational Framework for Structure-Preserving Electromagnetic Particle-in-Cell Methods, 2022, Journal of Scientific Computing
  • A semi-implicit electromagnetic FEM-PIC scheme with exact energy and charge conservation, 2022, Journal of Computational Physics
  • Numerical tools for burning plasmas, 2023, Plasma Physics and Controlled Fusion
  • A new method to dispatch split particles in Particle-In-Cell codes, 2020, Computer Physics Communications
  • A Broken FEEC Framework for Electromagnetic Problems on Mapped Multipatch Domains, 2023, Journal of Scientific Computing

The scientist frequently collaborates with a consistent group of co-authors, including:

  • Éric Sonnendrücker
  • Yaman Güçlü
  • Valentín Carlier
  • Katharina Kormann
  • A. Bottino

Wolfgang Dahmen has been recognized within their professional community with awards such as the SIAM Fellow in 2019, highlighting contributions to numerical methods for partial differential equations, signal processing, and learning. Additionally, they are a member of the German National Academy of Sciences Leopoldina, an affiliation noted in 2009 under the field of Mathematics.

Best Publications

  • Compressed sensing and best k-term approximation

    Albert Cohen;Wolfgang Dahmen;Ronald DeVore

  • Stationary Subdivision

    Alfred S. Cavaretta;Charles A. Micchelli;Wolfgang Dahmen

  • Adaptive Finite Element Methods with convergence rates

    Peter Binev;Wolfgang Dahmen;Ron DeVore

  • Wavelet and multiscale methods for operator equations

    Wolfgang Dahmen

  • Adaptive wavelet methods for elliptic operator equations: convergence rates

    Albert Cohen;Wolfgang Dahmen;Ronald DeVore

  • Convergence Rates for Greedy Algorithms in Reduced Basis Methods

    Peter Binev;Albert Cohen;Wolfgang Dahmen;Ronald A. DeVore

  • Multilevel preconditioning

    Wolfgang Dahmen;Angela Kunoth

  • Biorthogonal Spline Wavelets on the Interval—Stability and Moment Conditions

    Wolfgang Dahmen;Angela Kunoth;Karsten Urban

  • Approximation and learning by greedy algorithms

    Andrew R. Barron;Albert Cohen;Wolfgang Dahmen;Ronald A. DeVore

  • Using the refinement equation for evaluating integrals of wavelets

    Wolfgang Dahmen;Charles A. Micchelli

  • Picometre-precision analysis of scanning transmission electron microscopy images of platinum nanocatalysts

    Andrew B. Yankovich;Benjamin Berkels;W. Dahmen;P. Binev

  • Adaptive Wavelet Methods II—Beyond the Elliptic Case

    Albert Cohen;Wolfgang Dahmen;Ronald A. DeVore

  • Wavelet approximation methods for pseudodifferential equations II: Matrix compression and fast solution

    Wolfgang Dahmen;S. Prössdorf;Reinhold Schneider

  • Introduction to Model Based Optimization of Chemical Processes on Moving Horizons

    Thomas Binder;Luise Blank;H. Georg Bock;Roland Bulirsch

  • Local Decomposition of Refinable Spaces and Wavelets

    J.M. Carnicer;W. Dahmen;J.M. Peña

  • Wavelets on Manifolds I: Construction and Domain Decomposition

    Wolfgang Dahmen;Reinhold Schneider

  • Stability of Multiscale Transformations.

    Wolfgang Dahmen

  • Tree Approximation and Optimal Encoding

    Albert Cohen;Wolfgang Dahmen;Ingrid Daubechies;Ronald DeVore

  • Composite wavelet bases for operator equations

    Wolfgang Dahmen;Reinhold Schneider

  • Harmonic analysis of the space BV.

    Albert Cohen;Wolfgang Dahmen;Ingrid Daubechies;Ronald A. DeVore

Frequent Co-Authors

Charles A. Micchelli
Charles A. Micchelli University at Albany, State University of New York
Ronald A. DeVore
Ronald A. DeVore Texas A&M University
Reinhold Schneider
Reinhold Schneider Technical University of Berlin
Albert Cohen
Albert Cohen Google (United States)
Stephan Dahlke
Stephan Dahlke Philipp University of Marburg
Wolfgang Marquardt
Wolfgang Marquardt RWTH Aachen University
Rob Stevenson
Rob Stevenson University of Amsterdam
Paul M. Voyles
Paul M. Voyles University of Wisconsin–Madison
Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München

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 studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Programs like a masters in digital marketing allow mathematically skilled individuals to leverage data-driven strategies in marketing careers.

Many professionals also consider accelerated paths such as 1 year mba programs to quickly gain business leadership skills that complement quantitative expertise. These programs are ideal for those aiming to combine math with management roles.

Online education flexibility is enhanced further through options like online mba transfer credits, which help students transfer prior coursework and reduce the time and cost of degree completion.

Another promising avenue is pursuing a master in data analytics, perfect for applying mathematical skills to big data challenges in various industries. Combining math with analytics broadens career prospects in tech, finance, and beyond.

Best Scientists Citing Wolfgang Dahmen

Trending Scientists

Recently Published Articles