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Gabriele Steidl

D-Index & Metrics

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

Gabriele Steidl publications per year

The chart shows the history of publications by Gabriele Steidl between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gabriele Steidl published across 38 years, from 1988 to 2025, averaging 8.2 papers a year. Output peaked at 31 publications in 2021. 24 of the 312 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2021. 1988: 1 publication 1989: 5 publications 1990: 3 publications 1991: 3 publications 1992: 2 publications 1993: 0 publications 1994: 1 publication 1995: 1 publication 1996: 1 publication 1997: 2 publications 1998: 5 publications 1999: 1 publication 2000: 6 publications 2001: 7 publications 2002: 6 publications 2003: 12 publications 2004: 7 publications 2005: 8 publications 2006: 7 publications 2007: 4 publications 2008: 7 publications 2009: 8 publications 2010: 5 publications 2011: 7 publications 2012: 8 publications 2013: 11 publications 2014: 14 publications 2015: 15 publications 2016: 7 publications 2017: 12 publications 2018: 13 publications 2019: 17 publications 2020: 12 publications 2021: 31 publications 2022: 9 publications 2023: 30 publications 2024: 14 publications 2025: 10 publications
1988 2025

312 publications in total across all disciplines

View publications per year as a table
Gabriele Steidl: publications per year, 1988 to 2025
Year Publications
1988 1
1989 5
1990 3
1991 3
1992 2
1993 0
1994 1
1995 1
1996 1
1997 2
1998 5
1999 1
2000 6
2001 7
2002 6
2003 12
2004 7
2005 8
2006 7
2007 4
2008 7
2009 8
2010 5
2011 7
2012 8
2013 11
2014 14
2015 15
2016 7
2017 12
2018 13
2019 17
2020 12
2021 31
2022 9
2023 30
2024 14
2025 10
Total 312
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Gabriele Steidl publications per year - data summary

  • Gabriele Steidl, a Mathematics scholar from Technical University of Berlin, has 312 publications recorded across 38 years, from 1988 to 2025.
  • The oldest publication on record dates to 1988 and the most recent to 2025.
  • The most productive year is 2021, with 31 publications.
  • The least productive years with any output are 1988, 1994, 1995, 1996 and others, with 1 publication each.
  • 1 of the 38 years in the span carries no publications at all (1993).
  • The rate of publication averages 8.2 papers per year over the whole span, or 8.4 per year counting only the 37 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 94 publications, 30% of the career total.
  • Split into equal eras - 1988-2000: 31 publications (2.4 per year); 2001-2013: 97 publications (7.5 per year); 2014-2025: 184 publications (15.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Gabriele Steidl 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 Gabriele Steidl sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 247–251 publications, is where this scientist sits. 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 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 250 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43 250
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

Gabriele Steidl publication distribution in Mathematics in 2026 - data summary

  • The chart plots the publication count of all 3,584 Mathematics scientists ranked by Research.com in 2026, grouped into 100 ranges running from 42–46 to 537+ publications.
  • Gabriele Steidl, a Mathematics scholar from Technical University of Berlin, records 250 publications - the 77th percentile of the discipline.
  • 77% of ranked Mathematics scientists score the same or lower than Gabriele Steidl, and about 23% score higher.
  • The median of the discipline falls in the 172–176 publications range, and Gabriele Steidl ranks above the median.
  • The most crowded range is 142–146 publications, holding 112 scientists (3% of the field).
  • 47% of the field sits in the lowest quarter of the value range (up to 162–166 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 537 publications or more, 100 scientists in all (3% of the field).

Gabriele Steidl 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 Gabriele Steidl sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 44 D-Index, is where this scientist sits. 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: 44 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115 44
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

Gabriele Steidl D-index placement in Mathematics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,584 Mathematics scientists ranked by Research.com in 2026, grouped into 57 ranges running from 30 to 86+ D-Index.
  • Gabriele Steidl, a Mathematics scholar from Technical University of Berlin, records 44 D-Index - the 58th percentile of the discipline.
  • 58% of ranked Mathematics scientists score the same or lower than Gabriele Steidl, and about 42% score higher.
  • The median of the discipline falls in the 42 D-Index range, and Gabriele Steidl ranks above the median.
  • The most crowded range is 30 D-Index, holding 174 scientists (5% of the field).
  • 58% of the field sits in the lowest quarter of the value range (up to 44 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 86 D-Index or more, 99 scientists in all (3% of the field).

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

  • Fast Fourier transforms for nonequispaced data: a tutorial

    Daniel Potts;Gabriele Steidl;Manfred Tasche

  • Combined SVM-Based Feature Selection and Classification

    Julia Neumann;Christoph Schnörr;Gabriele Steidl

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

    Gabriele Steidl;Joachim Weickert;Thomas Brox;Pavel Mrázek

  • Removing Multiplicative Noise by Douglas-Rachford Splitting Methods

    G. Steidl;T. Teuber

  • Preventing bad plans by bounding the impact of cardinality estimation errors

    Guido Moerkotte;Thomas Neumann;Gabriele Steidl

  • A note on fast Fourier transforms for nonequispaced grids

    Gabriele Steidl

  • Shearlet coorbit spaces and associated Banach frames

    Stephan Dahlke;Gitta Kutyniok;Gabriele Steidl;Gerd Teschke

  • Fast Summation at Nonequispaced Knots by NFFT

    Daniel Potts;Gabriele Steidl

  • Numerical Fourier Analysis

    Gerlind Plonka;Daniel Potts;Gabriele Steidl;Manfred Tasche

  • The Continuous Shearlet Transform in Arbitrary Space Dimensions

    Stephan Dahlke;Gabriele Steidl;Gerd Teschke

  • Fast algorithms for discrete polynomial transforms

    Daniel Potts;Gabriele Steidl;Manfred Tasche

  • Infimal convolution regularizations with discrete ℓ1-type functionals

    S. Setzer;G. Steidl;T. Teuber

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

    Stephan Dahlke;Gabriele Steidl;Gerd Teschke

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

    Mila Nikolova;Gabriele Steidl

  • First Order Algorithms in Variational Image Processing

    Martin Burger;Alexander Sawatzky;Gabriele Steidl

  • Fast convolution with radial kernels at nonequispaced knots

    Daniel Potts;Gabriele Steidl;Arthur Nieslony

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

    G. Steidl

  • Splines in Higher Order TV Regularization

    Gabriele Steidl;Stephan Didas;Julia Neumann

  • 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

Frequent Co-Authors

Daniel Potts
Daniel Potts Chemnitz University of Technology
Stephan Dahlke
Stephan Dahlke Philipp University of Marburg
Joachim Weickert
Joachim Weickert Saarland University
Christoph Schnörr
Christoph Schnörr Heidelberg University
Mila Nikolova
Mila Nikolova École Normale Supérieure Paris-Saclay
Raymond H. Chan
Raymond H. Chan Lingnan University
Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München
Jean-François Aujol
Jean-François Aujol University of Bordeaux
Guido Moerkotte
Guido Moerkotte University of Mannheim
Jalal M. Fadili
Jalal M. Fadili École Nationale Supérieure d'Ingénieurs de Caen

External Links

Personal website of Gabriele Steidl Google Scholar page

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Best Scientists Citing Gabriele Steidl

Daniel Potts

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Joachim Weickert

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Publications: 38

Otmar Scherzer

Otmar Scherzer

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Publications: 23

Tieyong Zeng

Tieyong Zeng

Chinese University of Hong Kong

Publications: 20

Michael Unser

Michael Unser

École Polytechnique Fédérale de Lausanne

Publications: 20

Xue-Cheng Tai

Xue-Cheng Tai

NORCE Research

Publications: 19

Holger Rauhut

Holger Rauhut

RWTH Aachen University

Publications: 18

Gitta Kutyniok

Gitta Kutyniok

Ludwig-Maximilians-Universität München

Publications: 18

Ting-Zhu Huang

Ting-Zhu Huang

University of Electronic Science and Technology of China

Publications: 17

Christoph Schnörr

Christoph Schnörr

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Publications: 16

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Publications: 15

Michael K. Ng

Michael K. Ng

Hong Kong Baptist University

Publications: 15

Demetrio Labate

Demetrio Labate

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Patrick L. Combettes

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