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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
118
Citations
80437
World Ranking
16
National Ranking
11

James M. Robins 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 James M. Robins 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: 331 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

James M. Robins 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 James M. Robins 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: 118 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
  • 2015 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1998 - Fellow of the American Statistical Association (ASA)

Overview

James M. Robins is affiliated with Harvard University in the United States. Their research primarily spans the field of Mathematics, with a strong focus on Statistics and Probability, along with contributions in Economics and Econometrics, Artificial Intelligence, General Health Professions, and Modeling and Simulation.

The main topics covered in Robins' work include:

  • Advanced Causal Inference Techniques
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Statistical Methods in Clinical Trials
  • Health Systems, Economic Evaluations, Quality of Life
  • Bayesian Modeling and Causal Inference
  • COVID-19 epidemiological studies

Robins has published extensively in various journals with frequent appearances in:

  • arXiv (Cornell University)
  • Biometrika
  • Biometrics
  • The International Journal of Biostatistics
  • Journal of the American Statistical Association

Key recent papers by Robins include:

  • "Locally Robust Semiparametric Estimation" (2022, Econometrica)
  • "Separable Effects for Causal Inference in the Presence of Competing Events" (2020, Journal of the American Statistical Association)
  • "Benchmarking Observational Methods by Comparing Randomized Trials and Their Emulations" (2020, Epidemiology)
  • "A generalized theory of separable effects in competing event settings" (2021, Lifetime Data Analysis)
  • "Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies" (2020, American Journal of Epidemiology)

Robins collaborates regularly with several researchers, including:

  • Miguel A. Hernán
  • Thomas S. Richardson
  • Jessica G. Young
  • Andrea Rotnitzky
  • Zach Shahn

In addition to journal articles, Robins has published books, such as "When We Dead Awaken" in 2020 with Bloomsbury Publishing plc.

The scientist has received recognition through fellowships, including being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2015 and a Fellow of the American Statistical Association (ASA) in 1998.

Best Publications

  • Marginal Structural Models and Causal Inference in Epidemiology

    James M. Robins;Miguel Ángel Hernán;Babette Brumback

  • Estimation of Regression Coefficients When Some Regressors are not Always Observed

    James M. Robins;Andrea Rotnitzky;Lue Ping Zhao

  • A structural approach to selection bias.

    Miguel A Hernán;Sonia Hernández-Díaz;James M Robins

  • Double/Debiased Machine Learning for Treatment and Structural Parameters

    Victor Chernozhukov;Denis Chetverikov;Mert Demirer;Esther Duflo

  • A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect

    James Robins

  • Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available

    Miguel A. Hernán;James M. Robins

  • Doubly robust estimation in missing data and causal inference models

    Heejung Bang;James M. Robins

  • Identifiability and exchangeability for direct and indirect effects.

    James M. Robins;Sander Greenland

  • Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men.

    Miguel Angel Hernan;Babette Brumback;James M. Robins

  • Analysis of semiparametric regression models for repeated outcomes in the presence of missing data

    James M. Robins;Andrea Rotnitzky;Lue Ping Zhao

  • Transmission Dynamics and Control of Severe Acute Respiratory Syndrome

    Marc Lipsitch;Ted Cohen;Ben Cooper;James M. Robins

  • Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models

    Daniel O. Scharfstein;Andrea Rotnitzky;James M. Robins

  • Estimating causal effects from epidemiological data

    Miguel A Hernán;James M Robins

  • Unified Methods for Censored Longitudinal Data and Causality

    M. J. van der Laan;James M. Robins

  • Instruments for causal inference: an epidemiologist's dream?

    Miguel A. Hernan;James M. Robins

  • Semiparametric Efficiency in Multivariate Regression Models with Missing Data

    James M. Robins;Andrea Rotnitzky

  • Confounding and Collapsibility in Causal Inference

    Sander Greenland;James M. Robins;Judea Pearl

  • Transmissibility of 1918 pandemic influenza

    Christina E. Mills;James M. Robins;Marc Lipsitch

  • Correcting for noncompliance and dependent censoring in an AIDS Clinical Trial with inverse probability of censoring weighted (IPCW) log-rank tests.

    James M. Robins;Dianne M. Finkelstein

  • Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease

    Miguel A. Hernán;Alvaro Alonso;Roger Logan;Francine Grodstein

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

    Sander Greenland;James M. Robins

  • Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers

    James M. Robins;Andrea Rotnitzky

Frequent Co-Authors

Miguel A. Hernán
Miguel A. Hernán Harvard University
Andrea Rotnitzky
Andrea Rotnitzky University of Washington
Eric J. Tchetgen Tchetgen
Eric J. Tchetgen Tchetgen University of Pennsylvania
Thomas S. Richardson
Thomas S. Richardson University of Washington
Tyler J. VanderWeele
Tyler J. VanderWeele Harvard University
Sander Greenland
Sander Greenland University of California, Los Angeles
Larry Wasserman
Larry Wasserman Carnegie Mellon University
JoAnn E. Manson
JoAnn E. Manson Harvard Medical School
Caroline Sabin
Caroline Sabin University College London

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