2026 Gabriele Steidl: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	44	1591	1374	94	83	250	7729

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

1591

1374

250

7729

Overview

Gabriele Steidl is affiliated with the Technical University of Berlin in Germany. Their research spans several fields, primarily focusing on Mathematics, Computer Science, and Engineering. Within these domains, their work extensively covers subfields such as Applied Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, and Mathematical Physics.

The scientist has contributed to multiple main topics, including:

Image and Signal Denoising Methods
Sparse and Compressive Sensing Techniques
Numerical methods in inverse problems
Geometric Analysis and Curvature Flows
Medical Imaging Techniques and Applications
Seismic Imaging and Inversion Techniques
Advanced Numerical Analysis Techniques

Recent papers by Gabriele Steidl include the following publications:

"Parseval Proximal Neural Networks," 2020, Journal of Fourier Analysis and Applications
"Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint," 2022, SIAM/ASA Journal on Uncertainty Quantification
"PatchNR: learning from very few images by patch normalizing flow regularization," 2023, Inverse Problems
"Unbalanced Multi-marginal Optimal Transport," 2022, Journal of Mathematical Imaging and Vision
"Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization," 2021, Foundations of Computational Mathematics

Frequent collaborators in Steidl's work include Johannes Hertrich, Robert Beinert, Gerlind Plonka, Paul Hagemann, and Michael Quellmalz.

Publication venues where Gabriele Steidl has frequently contributed are:

arXiv (Cornell University)
Inverse Problems
Journal of Mathematical Imaging and Vision
Sampling Theory Signal Processing and Data Analysis
Journal of Fourier Analysis and Applications

Their academic output also includes book publications with established publishers. Two noted titles are:

"Numerical Fourier Analysis" (2023) published by Springer International Publishing
"Generalized Normalizing Flows via Markov Chains" (2023) published by Cambridge University Press

Best Publications

Deblurring Poissonian images by split Bregman techniques

S. Setzer;G. Steidl;T. Teuber

414
Citations
Fast Fourier transforms for nonequispaced data: a tutorial

Daniel Potts;Gabriele Steidl;Manfred Tasche

385
Citations
Combined SVM-Based Feature Selection and Classification

Julia Neumann;Christoph Schnörr;Gabriele Steidl

343
Citations
On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs

Gabriele Steidl;Joachim Weickert;Thomas Brox;Pavel Mrázek

331
Citations
Removing Multiplicative Noise by Douglas-Rachford Splitting Methods

G. Steidl;T. Teuber

331
Citations
Preventing bad plans by bounding the impact of cardinality estimation errors

Guido Moerkotte;Thomas Neumann;Gabriele Steidl

194
Citations
A note on fast Fourier transforms for nonequispaced grids

Gabriele Steidl

193
Citations
Shearlet coorbit spaces and associated Banach frames

Stephan Dahlke;Gitta Kutyniok;Gabriele Steidl;Gerd Teschke

184
Citations
Fast Summation at Nonequispaced Knots by NFFT

Daniel Potts;Gabriele Steidl

161
Citations
Numerical Fourier Analysis

Gerlind Plonka;Daniel Potts;Gabriele Steidl;Manfred Tasche

156
Citations
The Continuous Shearlet Transform in Arbitrary Space Dimensions

Stephan Dahlke;Gabriele Steidl;Gerd Teschke

139
Citations
Fast algorithms for discrete polynomial transforms

Daniel Potts;Gabriele Steidl;Manfred Tasche

138
Citations
Infimal convolution regularizations with discrete ℓ1-type functionals

S. Setzer;G. Steidl;T. Teuber

133
Citations
Shearlet Coorbit Spaces: Compactly Supported Analyzing Shearlets, Traces and Embeddings

Stephan Dahlke;Gabriele Steidl;Gerd Teschke

125
Citations
Fast Hue and Range Preserving Histogram: Specification: Theory and New Algorithms for Color Image Enhancement.

Mila Nikolova;Gabriele Steidl

110
Citations
First Order Algorithms in Variational Image Processing

Martin Burger;Alexander Sawatzky;Gabriele Steidl

105
Citations
Fast convolution with radial kernels at nonequispaced knots

Daniel Potts;Gabriele Steidl;Arthur Nieslony

98
Citations
A Note on the Dual Treatment of Higher-Order Regularization Functionals

G. Steidl

97
Citations
Splines in Higher Order TV Regularization

Gabriele Steidl;Stephan Didas;Julia Neumann

96
Citations
A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data

Yanyan He;M. Yousuff Hussaini;Jianwei Ma;Behrang Shafei

94
Citations

Frequent Co-Authors

Daniel Potts Chemnitz University of Technology

Stephan Dahlke Philipp University of Marburg

Joachim Weickert Saarland University

Christoph Schnörr Heidelberg University

Mila Nikolova École Normale Supérieure Paris-Saclay

Raymond H. Chan Lingnan University

Gitta Kutyniok Ludwig-Maximilians-Universität München

Jean-François Aujol University of Bordeaux

Guido Moerkotte University of Mannheim

Jalal M. Fadili École Nationale Supérieure d'Ingénieurs de Caen

External Links

Personal website of Gabriele Steidl Google Scholar page

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