World's Best Scientists 2026 revealed!
Christoph Schwab

Christoph Schwab

Award Badge
Mathematics
Switzerland
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 90 73 61 2 2 498 23948

Christoph Schwab publications per year

The chart shows the history of publications by Christoph Schwab between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Christoph Schwab published across 56 years, from 1970 to 2025, averaging 9.9 papers a year. Output peaked at 51 publications in 2013. 20 of the 554 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2013. 1970: 1 publication 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 2 publications 1992: 10 publications 1993: 0 publications 1994: 6 publications 1995: 5 publications 1996: 10 publications 1997: 11 publications 1998: 15 publications 1999: 19 publications 2000: 18 publications 2001: 20 publications 2002: 17 publications 2003: 11 publications 2004: 10 publications 2005: 10 publications 2006: 8 publications 2007: 3 publications 2008: 9 publications 2009: 11 publications 2010: 23 publications 2011: 31 publications 2012: 31 publications 2013: 51 publications 2014: 32 publications 2015: 19 publications 2016: 20 publications 2017: 17 publications 2018: 12 publications 2019: 13 publications 2020: 23 publications 2021: 21 publications 2022: 17 publications 2023: 28 publications 2024: 15 publications 2025: 5 publications
1970 2025

554 publications in total across all disciplines

View publications per year as a table
Christoph Schwab: publications per year, 1970 to 2025
Year Publications
1970 1
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 2
1992 10
1993 0
1994 6
1995 5
1996 10
1997 11
1998 15
1999 19
2000 18
2001 20
2002 17
2003 11
2004 10
2005 10
2006 8
2007 3
2008 9
2009 11
2010 23
2011 31
2012 31
2013 51
2014 32
2015 19
2016 20
2017 17
2018 12
2019 13
2020 23
2021 21
2022 17
2023 28
2024 15
2025 5
Total 554
Download as CSV

Christoph Schwab 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 Christoph Schwab 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, 497–501 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: 498 publications — 97th percentile

97% 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
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 5 498
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

Christoph Schwab 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 Christoph Schwab 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, 86+ 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: 90 D-Index — 98th percentile

98% 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
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 90
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Mathematics in Switzerland Leader Award
  • 2025 - Research.com Mathematics in Switzerland Leader Award
  • 2022 - Research.com Mathematics in Switzerland Leader Award
  • 2016 - SIAM Fellow For contributions to the theory and computational methods for partial differential equations.

Overview

Christoph Schwab is affiliated with ETH Zurich in Switzerland and has made contributions primarily in the fields of Engineering and Mathematics. Their work encompasses various subfields, including Computational Theory and Mathematics, Computational Mechanics, Numerical Analysis, Statistics, Probability and Uncertainty, and Statistical and Nonlinear Physics.

The scientist's research centers around several core topics:

  • Advanced Numerical Methods in Computational Mathematics
  • Advanced Mathematical Modeling in Engineering
  • Probabilistic and Robust Engineering Design
  • Model Reduction and Neural Networks
  • Mathematical Approximation and Integration
  • Numerical methods in inverse problems
  • Numerical methods in engineering

Christoph Schwab has published in multiple frequent venues, which include:

  • arXiv (Cornell University)
  • SIAM/ASA Journal on Uncertainty Quantification
  • Repository for Publications and Research Data (ETH Zurich)
  • IMA Journal of Numerical Analysis
  • Spektrum der Augenheilkunde

Their notable recent papers include:

  • "DNN Expression Rate Analysis of High-Dimensional PDEs: Application to Option Pricing," 2021, published in Constructive Approximation
  • "Convergence rates of high dimensional Smolyak quadrature," 2020, published in ESAIM Mathematical Modelling and Numerical Analysis
  • "DeepCME: A deep learning framework for computing solution statistics of the chemical master equation," 2021, published in PLoS Computational Biology
  • "Deep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations," 2022, published in Analysis and Applications
  • "Deep neural network expression of posterior expectations in Bayesian PDE inversion," 2020, published in Inverse Problems

Frequent co-authors in Christoph Schwab's work include:

  • Jakob Zech
  • Carlo Marcati
  • Joost A. A. Opschoor
  • Ðinh Dũng
  • Van Kien Nguyen

Christoph Schwab has authored books published by Springer Nature and ETH Zurich, with titles such as:

  • "Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018" (2020)
  • "Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs" (2023)
  • "Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018: Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018" (2020)

The scientist received the SIAM Fellow award in 2016 for contributions to the theory and computational methods for partial differential equations.

Best Publications

  • P- and hp- finite element methods : theory and applications in solid and fluid mechanics

    Ch. Schwab

  • Boundary Element Methods

    Stefan A. Sauter;Christoph Schwab

  • Discontinuous hp -Finite Element Methods for Advection-Diffusion-Reaction Problems

    Paul Houston;Christoph Schwab;Endre Süli

  • Karhunen-Loève approximation of random fields by generalized fast multipole methods

    Christoph Schwab;Radu Alexandru Todor

  • Finite elements for elliptic problems with stochastic coefficients

    Philipp Frauenfelder;Christoph Schwab;Radu Alexandru Todor

  • Multi-level Monte Carlo Finite Element method for elliptic PDEs with stochastic coefficients

    Andrea Barth;Christoph Schwab;Nathaniel Zollinger

  • ANALYTIC REGULARITY AND POLYNOMIAL APPROXIMATION OF PARAMETRIC AND STOCHASTIC ELLIPTIC PDE'S

    Albert Cohen;Ronald Devore;Christoph Schwab

  • Convergence Rates of Best N -term Galerkin Approximations for a Class of Elliptic sPDEs

    Albert Cohen;Ronald DeVore;Christoph Schwab

  • Local Discontinuous Galerkin Methods for the Stokes System

    Bernardo Cockburn;Guido Kanschat;Dominik Schötzau;Christoph Schwab

  • Optimal a priori error estimates for the hp -version of the local discontinuous Galerkin method for convection-diffusion problems

    Paul Castillo;Bernardo Cockburn;Dominik Schötzau;Christoph Schwab

  • Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs

    Christoph Schwab;Claude Jeffrey Gittelson

  • Convergence rates for sparse chaos approximations of elliptic problems with stochastic coefficients

    Radu Alexandru Todor;Christoph Schwab

  • Quasi-Monte Carlo Finite Element Methods for a Class of Elliptic Partial Differential Equations with Random Coefficients

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

  • Space-time adaptive wavelet methods for parabolic evolution problems

    Christoph Schwab;Rob P. Stevenson

  • Time Discretization of Parabolic Problems by the HP-Version of the Discontinuous Galerkin Finite Element Method

    Dominik Schötzau;Christoph Schwab

  • Fast deterministic pricing of options on Lévy driven assets

    Ana-Maria Matache;Tobias von Petersdorff;Christoph Schwab

  • High-Dimensional Adaptive Sparse Polynomial Interpolation and Applications to Parametric PDEs

    Abdellah Chkifa;Albert Cohen;Christoph Schwab

  • Tensor-Structured Galerkin Approximation of Parametric and Stochastic Elliptic PDEs

    Boris N. Khoromskij;Christoph Schwab

  • Breaking the curse of dimensionality in sparse polynomial approximation of parametric PDEs

    Abdellah Chkifa;Albert Cohen;Christoph Schwab

  • Stabilized hp -Finite Element Methods for First-Order Hyperbolic Problems

    Paul Houston;Christoph Schwab;Endre Süli

  • Multi-level Monte Carlo finite element method for elliptic PDE's with stochastic coefficients

    Andrea Barth;Christoph Schwab;Nathaniel Zollinger

Frequent Co-Authors

Dominik Schötzau
Dominik Schötzau University of British Columbia
Frances Y. Kuo
Frances Y. Kuo University of New South Wales
Josef Dick
Josef Dick University of New South Wales
Stefan A. Sauter
Stefan A. Sauter University of Zurich
Ian H. Sloan
Ian H. Sloan University of New South Wales
Ralf Hiptmair
Ralf Hiptmair ETH Zurich
Endre Süli
Endre Süli University of Oxford
Rob Stevenson
Rob Stevenson University of Amsterdam
Wolfgang L. Wendland
Wolfgang L. Wendland University of Stuttgart

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens up diverse career opportunities, especially when combined with related fields such as data science, business, and analytics. For those interested in leveraging their mathematical skills in tech-driven environments, exploring top analytics masters programs can be a strategic next step. These programs emphasize data interpretation, predictive modeling, and statistical analysis, all of which are highly valued in industries like finance, healthcare, and technology.

Mathematics graduates considering leadership or management roles might also find value in pursuing an MBA. Many professionals prefer an easiest mba specialization to balance rigorous coursework with career commitments. Selecting an accessible program can facilitate smoother transitions into business environments.

For those seeking flexibility, enrolling in the easiest online mba offers a convenient way to gain crucial business insights without compromising ongoing work or study schedules. Many online MBAs are designed to accommodate busy professionals aiming to expand their leadership skills.

Further career advancement can be achieved by pursuing a Doctor of Business Administration (DBA), especially through a 1 year dba program online. This accelerated pathway is ideal for those wanting to deepen their expertise in business strategy, research, and organizational leadership while maintaining flexibility.

Best Scientists Citing Christoph Schwab

Trending Scientists

Recently Published Articles