World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
33
Citations
4190
World Ranking
3056
National Ranking
188

Daniel Potts 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 Daniel Potts 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: 140 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Daniel Potts 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 Daniel Potts 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: 33 D-Index — 17th percentile

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

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

Overview

Daniel Potts is affiliated with Chemnitz University of Technology in Germany. Their research spans interdisciplinary fields primarily focused on Computer Science, Mathematics, and Engineering. Within these main disciplines, the scientist has contributed extensively to subfields such as Computer Vision and Pattern Recognition, Applied Mathematics, Computational Mechanics, Numerical Analysis, and Computational Theory and Mathematics.

Their academic output reflects substantial exploration of topics including Image and Signal Denoising Methods, Mathematical Analysis and Transform Methods, Mathematical Approximation and Integration, Sparse and Compressive Sensing Techniques, Probabilistic and Robust Engineering Design, Digital Filter Design and Implementation, and Statistical and numerical algorithms.

Daniel Potts has published numerous papers in a variety of venues, with notable frequent publication outlets including:

  • arXiv (Cornell University)
  • Sampling Theory Signal Processing and Data Analysis
  • Advances in Computational Mathematics
  • ETNA - Electronic Transactions on Numerical Analysis
  • Bioanalysis

Some recent significant papers are:

  • "Bioanalytical method validation and sample analysis for nirmatrelvir in dried blood collected using the Tasso-M20 device," 2022, Bioanalysis
  • "Continuous window functions for NFFT," 2021, Advances in Computational Mathematics
  • "High-dimensional sparse FFT based on sampling along multiple rank-1 lattices," 2020, Applied and Computational Harmonic Analysis
  • "Fast hyperbolic wavelet regression meets ANOVA," 2023, Numerische Mathematik
  • "Nonequispaced Fast Fourier Transform Boost for the Sinkhorn Algorithm," 2023, ETNA - Electronic Transactions on Numerical Analysis

The scientist has collaborated frequently with several co-authors, including Manfred Tasche, Melanie Kircheis, Gerlind Plonka, Gabriele Steidl, and Lutz Kämmerer.

In addition to journal and conference papers, Daniel Potts has contributed to book publications. One notable book is Numerical Fourier Analysis, published by Springer International Publishing in 2023.

Best Publications

  • Using NFFT 3---A Software Library for Various Nonequispaced Fast Fourier Transforms

    Jens Keiner;Stefan Kunis;Daniel Potts

  • Fast Fourier transforms for nonequispaced data: a tutorial

    Daniel Potts;Gabriele Steidl;Manfred Tasche

  • Fast spherical Fourier algorithms

    Stefan Kunis;Daniel Potts

  • Parameter estimation for exponential sums by approximate Prony method

    Daniel Potts;Manfred Tasche

  • Fast Summation at Nonequispaced Knots by NFFT

    Daniel Potts;Gabriele Steidl

  • Numerical Fourier Analysis

    Gerlind Plonka;Daniel Potts;Gabriele Steidl;Manfred Tasche

  • Parameter estimation for nonincreasing exponential sums by Prony-like methods

    Daniel Potts;Manfred Tasche

  • Fast algorithms for discrete polynomial transforms

    Daniel Potts;Gabriele Steidl;Manfred Tasche

  • Comparison of scalable fast methods for long-range interactions.

    Axel Arnold;Florian Fahrenberger;Christian Holm;Olaf Lenz

  • Fast convolution with radial kernels at nonequispaced knots

    Daniel Potts;Gabriele Steidl;Arthur Nieslony

  • Stability Results for Scattered Data Interpolation by Trigonometric Polynomials

    Stefan Kunis;Daniel Potts

  • Interpolation lattices for hyperbolic cross trigonometric polynomials

    Lutz Kämmerer;Stefan Kunis;Daniel Potts

  • Efficient reconstruction of functions on the sphere from scattered data

    Jens Keiner;Stefan Kunis;Daniel Potts

  • Approximation of multivariate periodic functions by trigonometric polynomials based on rank-1 lattice sampling

    Lutz Kämmerer;Daniel Potts;Toni Volkmer

  • Efficient Reconstruction of Functions on the Sphere from Scattered Data

    Jens Keiner;Stefan Kunis;Daniel Potts

  • A fast algorithm for nonequispaced Fourier transforms on the rotation group

    Daniel Potts;Jürgen Prestin;Antje Vollrath

  • Nonequispaced Hyperbolic Cross Fast Fourier Transform

    Michael Döhler;Stefan Kunis;Daniel Potts

  • Nonlinear Approximation by Sums of Exponentials and Translates

    Thomas Peter;Daniel Potts;Manfred Tasche

  • On the computation of spherical designs by a new optimization approach based on fast spherical Fourier transforms

    Manuel Gräf;Daniel Potts

  • Field Inhomogeneity Correction Based on Gridding Reconstruction for Magnetic Resonance Imaging

    H. Eggers;T. Knopp;D. Potts

  • Kernels of spherical harmonics and spherical frames

    Daniel Potts;Gabriele Steidl;Manfred Tasche

Frequent Co-Authors

Gabriele Steidl
Gabriele Steidl Technical University of Berlin
Travis E. Huxman
Travis E. Huxman University of California, Irvine
Greg A. Barron-Gafford
Greg A. Barron-Gafford University of Arizona
David G. Williams
David G. Williams University of Wyoming
Russell L. Scott
Russell L. Scott Agricultural Research Service
Robert J. Warren
Robert J. Warren Buffalo State College
Michael L. Goulden
Michael L. Goulden University of California, Irvine
Kevin R. Hultine
Kevin R. Hultine Desert Botanical Garden
Katharine N. Suding
Katharine N. Suding University of Colorado Boulder
Adrian V. Rocha
Adrian V. Rocha University of Notre Dame

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