World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 65 383 318 206 159 377 19645

David Nualart publications per year

The chart shows the history of publications by David Nualart between 1979 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Nualart published across 47 years, from 1979 to 2025, averaging 8.1 papers a year. Output peaked at 23 publications in 2021. 1 of the 381 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1979 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2021. 1979: 1 publication 1980: 1 publication 1981: 3 publications 1982: 1 publication 1983: 3 publications 1984: 2 publications 1985: 4 publications 1986: 4 publications 1987: 3 publications 1988: 8 publications 1989: 13 publications 1990: 11 publications 1991: 10 publications 1992: 11 publications 1993: 9 publications 1994: 7 publications 1995: 13 publications 1996: 2 publications 1997: 10 publications 1998: 9 publications 1999: 4 publications 2000: 9 publications 2001: 7 publications 2002: 6 publications 2003: 13 publications 2004: 4 publications 2005: 12 publications 2006: 10 publications 2007: 9 publications 2008: 12 publications 2009: 21 publications 2010: 10 publications 2011: 9 publications 2012: 6 publications 2013: 12 publications 2014: 16 publications 2015: 11 publications 2016: 8 publications 2017: 11 publications 2018: 9 publications 2019: 17 publications 2020: 15 publications 2021: 23 publications 2022: 1 publication 2023: 0 publications 2024: 0 publications 2025: 1 publication
1979 2025

381 publications in total across all disciplines

View publications per year as a table
David Nualart: publications per year, 1979 to 2025
Year Publications
1979 1
1980 1
1981 3
1982 1
1983 3
1984 2
1985 4
1986 4
1987 3
1988 8
1989 13
1990 11
1991 10
1992 11
1993 9
1994 7
1995 13
1996 2
1997 10
1998 9
1999 4
2000 9
2001 7
2002 6
2003 13
2004 4
2005 12
2006 10
2007 9
2008 12
2009 21
2010 10
2011 9
2012 6
2013 12
2014 16
2015 11
2016 8
2017 11
2018 9
2019 17
2020 15
2021 23
2022 1
2023 0
2024 0
2025 1
Total 381
Download as CSV

David Nualart publications per year - data summary

  • David Nualart, a Mathematics scholar from University of Kansas, has 381 publications recorded across 47 years, from 1979 to 2025.
  • The oldest publication on record dates to 1979 and the most recent to 2025.
  • The most productive year is 2021, with 23 publications.
  • The least productive years with any output are 1979, 1980, 1982, 2022 and others, with 1 publication each.
  • 2 of the 47 years in the span carry no publications at all (2023 and 2024).
  • The rate of publication averages 8.1 papers per year over the whole span, or 8.5 per year counting only the 45 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 25 publications, 7% of the career total.
  • Split into equal eras - 1979-1994: 91 publications (5.7 per year); 1995-2010: 151 publications (9.4 per year); 2011-2025: 139 publications (9.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

David Nualart 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 David Nualart 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, 377–381 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: 377 publications — 93rd percentile

93% 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 8 377
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

David Nualart 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.
  • David Nualart, a Mathematics scholar from University of Kansas, records 377 publications - the 93rd percentile of the discipline.
  • 93% of ranked Mathematics scientists score the same or lower than David Nualart, and about 7% score higher.
  • The median of the discipline falls in the 172–176 publications range, and David Nualart 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).

David Nualart 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 David Nualart 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, 65 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: 65 D-Index — 90th percentile

90% 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 65
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

David Nualart 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.
  • David Nualart, a Mathematics scholar from University of Kansas, records 65 D-Index - the 90th percentile of the discipline.
  • 90% of ranked Mathematics scientists score the same or lower than David Nualart, and about 10% score higher.
  • The median of the discipline falls in the 42 D-Index range, and David Nualart 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

David Nualart is affiliated with the University of Kansas in the United States and has contributed to research primarily in the areas of economics, econometrics, finance, and mathematics. Their work spans topics related to stochastic processes, financial applications, and mathematical physics.

The fields of study where David Nualart's research is concentrated include:

  • Economics, Econometrics and Finance
  • Mathematics

Within these fields, they focus on subfields such as:

  • Finance
  • Mathematical Physics
  • Economics and Econometrics

The main topics addressed in their research encompass:

  • Stochastic processes and financial applications
  • Financial Risk and Volatility Modeling
  • Stochastic processes and statistical mechanics
  • Complex Systems and Time Series Analysis
  • Advanced mathematical theories

David Nualart's recent published papers include the following:

  • "Regularization of differential equations by two fractional noises," 2022, published in Stochastics and Dynamics
  • "Error Distribution Of The Euler Approximation Scheme For Stochastic Volterra Integral Equations," 2022, published in arXiv (Cornell University)
  • "Limit Theorems for Additive Functionals of the Fractional Brownian Motion," 2021, published in arXiv (Cornell University)
  • "Feynman-Kac formula for iterated derivatives of the parabolic Anderson model," 2020, published in arXiv (Cornell University)
  • "Sharp upper bounds on hitting probabilities for the solution to the stochastic heat equation on the line," 2025, published in arXiv (Cornell University)

The most frequent publication venues where David Nualart has contributed are:

  • arXiv (Cornell University)
  • Stochastics and Dynamics

The scientist has collaborated with several coauthors, including:

  • Ercan Sönmez
  • Bhargobjyoti Saikia
  • Arturo Jaramillo
  • Ivan Nourdin
  • Giovanni Peccati

Best Publications

  • The Malliavin Calculus and Related Topics

    David Nualart

  • Stochastic calculus with anticipating integrands

    D. Nualart;E. Pardoux

  • Stochastic Calculus with Respect to Gaussian Processes

    Elisa Alòs;Olivier Mazet;David Nualart

  • Differential equations driven by fractional Brownian motion

    David Nualart;Aurel Rascanu

  • Central limit theorems for sequences of multiple stochastic integrals

    David Nualart;Giovanni Peccati

  • Chaotic and predictable representations for Levy processes

    David Nualart;Wim Schoutens

  • Parameter estimation for fractional Ornstein–Uhlenbeck processes

    Yaozhong Hu;David Nualart

  • Stochastic integration with respect to the fractional Brownian motion

    Elisa Alòs;David Nualart

  • Backward stochastic differential equations and Feynman-Kac formula for Levy processes, with applications in finance

    David Nualart;Wim Schoutens

  • Generalized stochastic integrals and the malliavin calculus

    David Nualart;David Nualart;Moshe Zakai;Moshe Zakai

  • Evolution equations driven by a fractional Brownian motion

    Bohdan Maslowski;David Nualart

  • Central limit theorems for multiple stochastic integrals and Malliavin calculus

    D. Nualart;S. Ortiz-Latorre

  • Stochastic calculus with respect to fractional Brownian motion with Hurst parameter lesser than 12

    Elisa Alòs;Olivier Mazet;David Nualart

  • Stochastic scalar conservation laws

    Jin Feng;David Nualart

  • Regularization of differential equations by fractional noise

    David Nualart;Youssef Ouknine

  • Anticipative calculus for the Poisson process based on the Fock space

    David Nualart;Josep Vives

  • A Minicourse on Stochastic Partial Differential Equations

    Robert C. Dalang;Davar Khoshnevisan;Carl Mueller;David Nualart

  • Analysis on Wiener space and anticipating stochastic calculus

    David Nualart

  • Stochastic Differential Equations Driven by Fractional Brownian Motion and Standard Brownian Motion

    João Guerra;David Nualart

  • White noise driven quasilinear SPDEs with reflection

    D. Nualart;E. Pardoux

Frequent Co-Authors

Yaozhong Hu
Yaozhong Hu University of Alberta
Ivan Nourdin
Ivan Nourdin University of Luxembourg
Moshe Zakai
Moshe Zakai Technion – Israel Institute of Technology
Davar Khoshnevisan
Davar Khoshnevisan University of Utah
Etienne Pardoux
Etienne Pardoux Aix-Marseille University
Wim Schoutens
Wim Schoutens KU Leuven
Giovanni Peccati
Giovanni Peccati University of Luxembourg
Peter Imkeller
Peter Imkeller Humboldt-Universität zu Berlin
Frederi Viens
Frederi Viens Rice University
René Carmona
René Carmona Princeton University

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

For students pursuing Mathematics in the USA, exploring related online degrees can open up diverse career opportunities. Degrees like a masters degree in marketing are increasingly popular as math skills apply to market analytics and consumer behavior research. This blend of disciplines can lead to high-paying roles in digital marketing and business analytics.

If you're considering further education in business, a 1 year mba program can be a fast-track option. These programs offer concentrated study, often emphasizing quantitative skills relevant to finance and operations, making them ideal for math graduates seeking leadership positions.

Another important consideration is flexibility. Many students wonder, can you transfer mba programs? Understanding credit transfers can save time and money, allowing you to tailor your education path without starting from scratch.

Data is at the heart of mathematics, and pursuing a data analytics masters is a logical step. This degree focuses on transforming data into actionable insights, a skill highly sought after in industries such as finance, technology, and healthcare.

Best Scientists Citing David Nualart

Trending Scientists

Recently Published Articles