World's Best Scientists 2026 revealed!
Robert Scheichl

Robert Scheichl

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 34 2912 2602 177 161 181 4846

Robert Scheichl publications per year

The chart shows the history of publications by Robert Scheichl between 2000 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Robert Scheichl published across 27 years, from 2000 to 2026, averaging 7.6 papers a year. Output peaked at 17 publications in 2013. 12 of the 206 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2000 to 2026. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2013. 2000: 3 publications 2001: 1 publication 2002: 0 publications 2003: 2 publications 2004: 0 publications 2005: 1 publication 2006: 1 publication 2007: 3 publications 2008: 5 publications 2009: 2 publications 2010: 4 publications 2011: 10 publications 2012: 9 publications 2013: 17 publications 2014: 11 publications 2015: 9 publications 2016: 15 publications 2017: 11 publications 2018: 10 publications 2019: 17 publications 2020: 10 publications 2021: 17 publications 2022: 11 publications 2023: 10 publications 2024: 15 publications 2025: 11 publications 2026: 1 publication
2000 2026

206 publications in total across all disciplines

View publications per year as a table
Robert Scheichl: publications per year, 2000 to 2026
Year Publications
2000 3
2001 1
2002 0
2003 2
2004 0
2005 1
2006 1
2007 3
2008 5
2009 2
2010 4
2011 10
2012 9
2013 17
2014 11
2015 9
2016 15
2017 11
2018 10
2019 17
2020 10
2021 17
2022 11
2023 10
2024 15
2025 11
2026 1
Total 206
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Robert Scheichl 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 Robert Scheichl 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, 177–181 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: 181 publications — 54th percentile

54% 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 81 181
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
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
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Robert Scheichl 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 Robert Scheichl 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, 34 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: 34 D-Index — 21st percentile

21% 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 34
35 127
36 145
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115
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
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Overview

Robert Scheichl is affiliated with Heidelberg University in Germany and has an extensive research portfolio primarily situated in the fields of Engineering, Computer Science, and Mathematics. Their work encompasses a range of specialized subfields including Computational Theory and Mathematics, Computational Mechanics, Statistics, Probability and Uncertainty, Mechanics of Materials, and Numerical Analysis.

The research contributions by Scheichl focus on advanced numerical methods and computational modeling. Key topics within their work include:

  • Advanced Numerical Methods in Computational Mathematics
  • Probabilistic and Robust Engineering Design
  • Advanced Mathematical Modeling in Engineering
  • Mathematical Approximation and Integration
  • Numerical methods in engineering
  • Markov Chains and Monte Carlo Methods
  • Composite Material Mechanics

The scientist has published papers in multiple frequently targeted venues, reflecting the interdisciplinary nature of their work. These venues include:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • IMA Journal of Numerical Analysis
  • SIAM Journal on Numerical Analysis
  • SIAM/ASA Journal on Uncertainty Quantification

Among the recent papers authored or coauthored by Scheichl are:

  • Novel Design and Analysis of Generalized Finite Element Methods Based on Locally Optimal Spectral Approximations, 2022, SIAM Journal on Numerical Analysis
  • Multilevel Monte Carlo simulations of composite structures with uncertain manufacturing defects, 2020, Probabilistic Engineering Mechanics
  • Multilevel Delayed Acceptance MCMC, 2023, SIAM/ASA Journal on Uncertainty Quantification
  • Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format, 2022, SIAM/ASA Journal on Uncertainty Quantification
  • A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data, 2020, Journal of Computational Physics

Collaborations have been a significant aspect of Scheichl's career, frequently working with other researchers in related domains. Common coauthors include:

  • Chupeng Ma
  • Tim Dodwell
  • Linus Seelinger
  • Alexander D. Gilbert
  • Peter Bastian

Best Publications

  • Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients

    K. A. Cliffe;M. B. Giles;R. Scheichl;A. L. Teckentrup

  • Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients

    A. L. Teckentrup;R. Scheichl;M. B. Giles;E. Ullmann

  • Finite Element Error Analysis of Elliptic PDEs with Random Coefficients and Its Application to Multilevel Monte Carlo Methods

    Julia Charrier;Robert Scheichl;Aretha L. Teckentrup

  • Abstract robust coarse spaces for systems of PDEs via generalized eigenproblems in the overlaps

    N. Spillane;V. Dolean;P. Hauret;F. Nataf

  • Quasi-Monte Carlo methods for elliptic PDEs with random coefficients and applications

    I. G. Graham;F. Y. Kuo;D. Nuyens;R. Scheichl

  • Domain decomposition for multiscale PDEs

    I. G. Graham;P. O. Lechner;R. Scheichl

  • Quasi-Monte Carlo finite element methods for elliptic PDEs with lognormal random coefficients

    I. G. Graham;F. Y. Kuo;J. A. Nichols;R. Scheichl

  • A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow

    Tim J. Dodwell;Christian Ketelsen;Robert Scheichl;Aretha L. Teckentrup

  • Analysis of a two-level Schwarz method with coarse spaces based on local Dirichlet-to-Neumann maps

    Victorita Dolean;Frédéric Nataf;Robert Scheichl;Nicole Spillane

  • Analysis of FETI methods for multiscale PDEs

    Clemens Pechstein;Robert Scheichl

  • Multilevel Quasi-Monte Carlo methods for lognormal diffusion problems

    Frances Y. Kuo;Robert Scheichl;Christoph Schwab;Ian H. Sloan

  • Algebraic multigrid for discontinuous Galerkin discretizations of heterogeneous elliptic problems

    Peter Bastian;Markus Blatt;Robert Scheichl

  • Decoupling and Block Preconditioning for Sedimentary Basin Simulations

    Robert Scheichl;R. Masson;J. Wendebourg

  • Massively parallel solvers for elliptic partial differential equations in numerical weather and climate prediction

    Eike H. Müller;Robert Scheichl

  • Weighted Poincaré inequalities

    Clemens Pechstein;Robert Scheichl

  • Analysis of FETI methods for multiscale PDEs. Part II: interface variation

    Clemens Pechstein;Robert Scheichl

  • A Stein variational Newton method

    Gianluca Detommaso;Tiangang Cui;Youssef M. Marzouk;Alessio Spantini

  • Robust domain decomposition algorithms for multiscale PDEs

    I.G. Graham;R. Scheichl

  • Additive Schwarz with aggregation-based coarsening for elliptic problems with highly variable coefficients

    R. Scheichl;E. Vainikko

  • Parallel computation of flow in heterogeneous media modelled by mixed finite elements

    K. A. Cliffe;I. G. Graham;R. Scheichl;L. Stals

  • A Stein variational Newton method

    Gianluca Detommaso;Tiangang Cui;Alessio Spantini;Youssef Marzouk

  • Numerical Analysis of Multiscale Problems

    Ivan G. Graham;Thomas Y. Hou;Omar Lakkis;Robert Scheichl

Frequent Co-Authors

Ivan G. Graham
Ivan G. Graham University of Bath
Frances Y. Kuo
Frances Y. Kuo University of New South Wales
Ian H. Sloan
Ian H. Sloan University of New South Wales
Michael B. Giles
Michael B. Giles University of Oxford
Andreas E. Kyprianou
Andreas E. Kyprianou University of Warwick
Raphael T. Haftka
Raphael T. Haftka University of Florida
Nam H. Kim
Nam H. Kim University of Florida
Leroy Gardner
Leroy Gardner Imperial College London
Barbara Wohlmuth
Barbara Wohlmuth Technical University of Munich

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