World's Best Scientists 2026 revealed!
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Mark J. van der Laan
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Mathematics
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 82 127 106 73 58 565 24546

Mark J. van der Laan publications per year

The chart shows the history of publications by Mark J. van der Laan between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mark J. van der Laan published across 31 years, from 1995 to 2025, averaging 22.2 papers a year. Output peaked at 48 publications in 2018. 41 of the 687 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2018. 1995: 3 publications 1996: 3 publications 1997: 8 publications 1998: 6 publications 1999: 4 publications 2000: 6 publications 2001: 8 publications 2002: 14 publications 2003: 25 publications 2004: 25 publications 2005: 30 publications 2006: 30 publications 2007: 34 publications 2008: 37 publications 2009: 22 publications 2010: 22 publications 2011: 45 publications 2012: 23 publications 2013: 14 publications 2014: 27 publications 2015: 21 publications 2016: 27 publications 2017: 30 publications 2018: 48 publications 2019: 25 publications 2020: 35 publications 2021: 43 publications 2022: 10 publications 2023: 21 publications 2024: 20 publications 2025: 21 publications
1995 2025

687 publications in total across all disciplines

View publications per year as a table
Mark J. van der Laan: publications per year, 1995 to 2025
Year Publications
1995 3
1996 3
1997 8
1998 6
1999 4
2000 6
2001 8
2002 14
2003 25
2004 25
2005 30
2006 30
2007 34
2008 37
2009 22
2010 22
2011 45
2012 23
2013 14
2014 27
2015 21
2016 27
2017 30
2018 48
2019 25
2020 35
2021 43
2022 10
2023 21
2024 20
2025 21
Total 687
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Mark J. van der Laan publications per year - data summary

  • Mark J. van der Laan, a Mathematics scholar from University of California, Berkeley, has 687 publications recorded across 31 years, from 1995 to 2025.
  • The oldest publication on record dates to 1995 and the most recent to 2025.
  • The most productive year is 2018, with 48 publications.
  • The least productive years with any output are 1995 and 1996, with 3 publications each.
  • The rate of publication averages 22.2 papers per year over the whole span, or 22.2 per year counting only the 31 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 115 publications, 17% of the career total.
  • Split into equal eras - 1995-2005: 132 publications (12.0 per year); 2006-2016: 302 publications (27.5 per year); 2017-2025: 253 publications (28.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Mark J. van der Laan 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 Mark J. van der Laan 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, 537+ 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: 565 publications — 98th percentile

98% 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
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100 565
Download as CSV

Mark J. van der Laan 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.
  • Mark J. van der Laan, a Mathematics scholar from University of California, Berkeley, records 565 publications - the 98th percentile of the discipline.
  • 98% of ranked Mathematics scientists score the same or lower than Mark J. van der Laan, and about 2% score higher.
  • The median of the discipline falls in the 172–176 publications range, and Mark J. van der Laan 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).

Mark J. van der Laan 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 Mark J. van der Laan 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, 82 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: 82 D-Index — 97th percentile

97% 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 82
83 5
84 13
85 6
86+ 99
Download as CSV

Mark J. van der Laan 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.
  • Mark J. van der Laan, a Mathematics scholar from University of California, Berkeley, records 82 D-Index - the 97th percentile of the discipline.
  • 97% of ranked Mathematics scientists score the same or lower than Mark J. van der Laan, and about 3% score higher.
  • The median of the discipline falls in the 42 D-Index range, and Mark J. van der Laan 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).

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2005 - COPSS Presidents' Award For his deep and sweeping contributions to several areas in theoretical and applied statistics, including multivariate survival analysis, local efficient estimation in semiparametric models, causal inference, dynamic treatment regimes, multiple testing, model selection, cross-validation loss-based estimation, and computational biology. Professor van der Laan has brought powerful statistical tools to bear on a wide array of applications involving high-dimensional data structures that often occur in epidemiology, genomics, and the medical sciences. The 2005 Presidents' Award honors Professor van der Laan for his signal success in bringing statistical rigor into many fields of the biomedical sciences.

Overview

Mark J. van der Laan is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of mathematics, with a strong focus on statistics and probability. This includes work in several subfields such as artificial intelligence, economics and econometrics, nutrition and dietetics, and psychiatry and mental health.

The scientist's key research topics include advanced causal inference techniques, statistical methods and inference, statistical methods and Bayesian inference, and statistical methods in clinical trials. Additional areas of focus cover health systems, economic evaluations, quality of life, as well as child nutrition and water access and feeding issues.

Van der Laan has published extensively in a variety of venues. Frequent publication sources include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biometrics
  • Nature
  • The International Journal of Biostatistics

Their recent published papers include:

  • Practical considerations for specifying a super learner, 2023, International Journal of Epidemiology
  • Causal Inference for Social Network Data, 2022, Journal of the American Statistical Association
  • Early-childhood linear growth faltering in low- and middle-income countries, 2023, Nature
  • Child wasting and concurrent stunting in low- and middle-income countries, 2023, Nature
  • Causes and consequences of child growth faltering in low-resource settings, 2023, Nature

Van der Laan frequently collaborates with other researchers. Notable co-authors include:

  • Nima S. Hejazi
  • Alan Hubbard
  • Jeremy Coyle
  • Ivana Malenica
  • Andrew Mertens

The scientist received the COPSS Presidents' Award in 2005. The award recognized their contributions to theoretical and applied statistics across several domains such as multivariate survival analysis, semiparametric models, causal inference, dynamic treatment regimes, multiple testing, model selection, cross-validation loss-based estimation, and computational biology. This work is applied in fields involving high-dimensional data in epidemiology, genomics, and medical sciences.

Best Publications

  • To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health.

    Alan E Hubbard;Jennifer Ahern;Nancy L Fleischer;Mark Van der Laan

  • Targeted Maximum Likelihood Learning

    Mark J. van der Laan;Daniel Rubin

  • Diagnosing and Responding to Violations in the Positivity Assumption

    Maya L Petersen;Kristin E Porter;Susan Gruber;Yue Wang

  • Estimation of direct causal effects.

    Maya L. Petersen;Sandra E. Sinisi;Mark J. van der Laan

  • Marginal Mean Models for Dynamic Regimes.

    S A Murphy;M J van der Laan;J M Robins

  • Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study

    Romain Pirracchio;Romain Pirracchio;Maya L Petersen;Marco Carone;Matthieu Resche Rigon

  • The relative performance of ensemble methods with deep convolutional neural networks for image classification

    Cheng Ju;Aurélien Bibaut;Mark J. van der Laan

  • Diaphragm and lubricant gel for prevention of HIV acquisition in southern African women: a randomised controlled trial

    Nancy S Padian;Ariane van der Straten;Gita Ramjee;Tsungai Chipato

  • A new partitioning around medoids algorithm

    Mark J. van der Laan;Katherine S. Pollard;Jennifer Bryan

  • Multiple Testing Procedures with Applications to Genomics

    Merrill D. Birkner;Katherine S. Pollard;Mark J. van der Laan;Sandrine Dudoit

  • Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation

    Sherri Rose;Mark J. van der Laan

  • Coarsening at Random: Characterizations, Conjectures, Counter-Examples

    Richard D. Gill;Mark J. van der Laan;James M. Robins

  • Influenza Vaccination and Mortality: Differentiating Vaccine Effects From Bias

    Bruce Fireman;Janelle Lee;Ned Lewis;Oliver Bembom

  • A new algorithm for hybrid hierarchical clustering with visualization and the bootstrap

    Mark J. van der Laan;Katherine S. Pollard

  • Unified Cross-Validation Methodology For Selection Among Estimators and a General Cross-Validated Adaptive Epsilon-Net Estimator: Finite Sample Oracle Inequalities and Examples

    Mark J. van der Laan;Sandrine Dudoit

  • Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates

    Erin LeDell;Maya L. Petersen;Mark J. van der Laan

  • Collaborative double robust targeted maximum likelihood estimation.

    Mark J. van der Laan;Susan Gruber

  • Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation

    Maya L. Petersen;Mark J. van der Laan

  • Multiple Testing. Part I. Single-Step Procedures for Control of General Type I Error Rates

    Sandrine Dudoit;Mark J. van der Laan;Katherine S. Pollard

  • Super Learning: An Application to the Prediction of HIV-1 Drug Resistance *

    Sandra E. Sinisi;Eric C. Polley;Maya L. Petersen;Soo Yon Rhee

  • Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives.

    Mark J. van der Laan;Sandrine Dudoit;Katherine S. Pollard

Frequent Co-Authors

Katherine S. Pollard
Katherine S. Pollard University of California, San Francisco
Michael Rosenblum
Michael Rosenblum University of California, San Francisco
Ira B. Tager
Ira B. Tager University of California, Berkeley
James M. Robins
James M. Robins Harvard University
Diane V. Havlir
Diane V. Havlir University of California, San Francisco
Edwin D. Charlebois
Edwin D. Charlebois University of California, San Francisco
Steven G. Deeks
Steven G. Deeks University of California, San Francisco
Ariane van der Straten
Ariane van der Straten University of California, San Francisco
Bruce Fireman
Bruce Fireman Kaiser Permanente
Elizabeth A. Bukusi
Elizabeth A. Bukusi University of Washington

External Links

Wikipedia of Mark J. van der Laan Personal website of Mark J. van der Laan Google Scholar page

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