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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
129
Citations
77841
World Ranking
6
National Ranking
4

Sander Greenland 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 Sander Greenland sits on this spectrum.

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: 82 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 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 366 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Sander Greenland 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 Sander Greenland sits on this spectrum.

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: 137 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: 129 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 1998 - Fellow of the American Statistical Association (ASA)

Overview

Sander Greenland is affiliated with the University of California, Los Angeles in the United States. Their research predominantly focuses on mathematics, with a strong emphasis on statistics and probability, including subfields such as statistics, probability and uncertainty, artificial intelligence, economics and econometrics, and management science and operations research.

The scientist's published work covers a range of topics including advanced causal inference techniques, meta-analysis and systematic reviews, statistical methods in clinical trials, health systems, economic evaluations, quality of life, forecasting techniques and applications, advanced statistical methods and models, and Bayesian modeling and causal inference.

Some of the recent papers by Sander Greenland include:

  • Causal Directed Acyclic Graphs, 2022, JAMA
  • Serious adverse events of special interest following mRNA COVID-19 vaccination in randomized trials in adults, 2022, Vaccine
  • Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise, 2020, BMC Medical Research Methodology
  • Accurate Statistics on COVID-19 Are Essential for Policy Guidance and Decisions, 2020, American Journal of Public Health
  • To curb research misreporting, replace significance and confidence by compatibility, 2022, Preventive Medicine

Frequent co-authors working with Sander Greenland include Joseph Fraiman, Juan Erviti, Robert M. Kaplan, Peter Doshi, and Patrick Whelan.

They have been published primarily in venues such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), UNC Libraries, Journal of Clinical Epidemiology, and JAMA.

Among their recognitions, Sander Greenland was named a Fellow of the American Statistical Association (ASA) in 1998.

Best Publications

  • Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

    Sander Greenland;Stephen J. Senn;Kenneth J. Rothman;John B. Carlin

  • Scientists rise up against statistical significance

    Valentin Amrhein;Sander Greenland;Blake McShane

  • Simulation Study of Confounder-Selection Strategies

    George Maldonado;Sander Greenland

  • Modeling and variable selection in epidemiologic analysis.

    S Greenland

  • THE IMPACT OF CONFOUNDER SELECTION CRITERIA ON EFFECT ESTIMATION

    Ruth M. Mickey;Sander Greenland

  • Methods for Trend Estimation from Summarized Dose-Response Data, with Applications to Meta-Analysis

    Sander Greenland;Matthew P. Longnecker

  • Identifiability and exchangeability for direct and indirect effects.

    James M. Robins;Sander Greenland

  • QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE

    Sander Greenland

  • Increasing value and reducing waste in research design, conduct, and analysis

    John P A Ioannidis;Sander Greenland;Mark A Hlatky;Muin J Khoury

  • Causation and Causal Inference in Epidemiology

    Kenneth J. Rothman;Sander Greenland

  • Generalized least squares for trend estimation of summarized dose–response data

    Nicola Orsini;Rino Bellocco;Sander Greenland

  • Dose-response and trend analysis in epidemiology: alternatives to categorical analysis.

    Sander Greenland

  • The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients

    Daniel J Westreich;Sander Greenland

  • Confounding and Collapsibility in Causal Inference

    Sander Greenland;James M. Robins;Judea Pearl

  • A Critical Look at Methods for Handling Missing Covariates in Epidemiologic Regression Analyses

    Sander Greenland;William D. Finkle

  • Quantifying biases in causal models: classical confounding vs collider-stratification bias.

    Sander Greenland

  • Model-based Estimation of Relative Risks and Other Epidemiologic Measures in Studies of Common Outcomes and in Case-Control Studies

    Sander Greenland

  • Sparse data bias: a problem hiding in plain sight.

    Sander Greenland;Mohammad Ali Mansournia;Douglas G Altman

  • Estimation of a common effect parameter from sparse follow-up data.

    Sander Greenland;James M. Robins

  • Identifiability, Exchangeability, and Epidemiological Confounding

    Sander Greenland;James M Robins

  • Maximum likelihood estimation of the attributable fraction from logistic models.

    Sander Greenland;Karsten Drescher

Frequent Co-Authors

Hal Morgenstern
Hal Morgenstern University of Michigan–Ann Arbor
James M. Robins
James M. Robins Harvard University
Charles Poole
Charles Poole University of North Carolina at Chapel Hill
Kamyar Kalantar-Zadeh
Kamyar Kalantar-Zadeh University of California, Irvine
Zuo-Feng Zhang
Zuo-Feng Zhang University of California, Los Angeles
Joel D. Kopple
Joel D. Kopple University of California, Los Angeles
Kenneth J. Rothman
Kenneth J. Rothman Boston University
Neil Pearce
Neil Pearce London School of Hygiene & Tropical Medicine
Csaba P. Kovesdy
Csaba P. Kovesdy University of Tennessee Health Science Center
Wendy Cozen
Wendy Cozen University of Southern California

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