World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
33
Citations
4190
World Ranking
3055
National Ranking
188

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
David G. Williams
David G. Williams University of Wyoming
Russell L. Scott
Russell L. Scott Agricultural Research Service
Michael L. Goulden
Michael L. Goulden University of California, Irvine
Tobias Knopp
Tobias Knopp Universität Hamburg
David C. Goodrich
David C. Goodrich US Department of Agriculture
David T. Tissue
David T. Tissue Western Sydney University
William T. Pockman
William T. Pockman University of New Mexico
Raymond H. Chan
Raymond H. Chan Lingnan University
Christian Holm
Christian Holm University of Stuttgart

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