World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
7810
World Ranking
8882
National Ranking
2470

William DuMouchel publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where William DuMouchel sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 66 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

William DuMouchel D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where William DuMouchel sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 1981 - Fellow of the American Statistical Association (ASA)

Overview

William DuMouchel is affiliated with Oracle in the United States and has contributed primarily to research in pharmacology, toxicology, pharmaceutics, and medicine. Their work spans computational drug discovery methods, pharmacogenetics and drug metabolism, receptor mechanisms and signaling, as well as pharmacovigilance and adverse drug reactions.

The scientist has co-authored papers with several frequent collaborators, including Robert Ietswaart, Seda Arat, Amanda X. Chen, Saman Farahmand, and Bumjun Kim.

William DuMouchel's publications have appeared in the following venues:

  • EBioMedicine
  • Drug Safety

Two recent papers reflect the focus of their research:

  • Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology, 2020, EBioMedicine
  • Signaling COVID-19 Vaccine Adverse Events, 2022, Drug Safety

The main fields of study for this researcher include:

  • Pharmacology, Toxicology and Pharmaceutics
  • Medicine

Their work spans several subfields, such as:

  • Computational Theory and Mathematics
  • Pharmacology
  • Molecular Biology
  • Infectious Diseases
  • Toxicology

Key research topics covered by William DuMouchel include:

  • Computational Drug Discovery Methods
  • Pharmacogenetics and Drug Metabolism
  • Receptor Mechanisms and Signaling
  • SARS-CoV-2 and COVID-19 Research
  • Pharmacovigilance and Adverse Drug Reactions
  • Heparin-Induced Thrombocytopenia and Thrombosis

They were recognized as a Fellow of the American Statistical Association (ASA) in 1981.

Best Publications

  • Bayesian Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting System

    William Dumouchel

  • A Meta-analysis of 16 Randomized Controlled Trials to Evaluate Computer-Based Clinical Reminder Systems for Preventive Care in the Ambulatory Setting

    Steven Shea;William DuMouchel;Lisa Bahamonde

  • Computer Intrusion: Detecting Masquerades

    Matthias Schonlau;William DuMouchel;Wen-Hua Ju;Alan F. Karr

  • Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

    George Hripcsak;Carol Friedman;Philip O. Alderson;William DuMouchel

  • Novel data-mining methodologies for adverse drug event discovery and analysis.

    Rave Harpaz;William DuMouchel;William DuMouchel;Nigam H. Shah;David Madigan;David Madigan

  • The New Jersey Data Reduction Report.

    Daniel Barbará;William DuMouchel;Christos Faloutsos;Peter J. Haas

  • Empirical bayes screening for multi-item associations

    William DuMouchel;Daryl Pregibon

  • Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system.

    Rave Harpaz;William DuMouchel;Paea LePendu;Anna Bauer-Mehren

  • Interpreting observational studies: why empirical calibration is needed to correct p‐values

    Martijn J. Schuemie;Patrick B. Ryan;William DuMouchel;William DuMouchel;Marc A. Suchard;Marc A. Suchard

  • A simple Bayesian modification of D-optimal designs to reduce dependence on an assumed model

    Unknown

  • Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions.

    Rave Harpaz;Rave Harpaz;Santiago Vilar;William DuMouchel;Hojjat Salmasian

  • Evaluating the Impact of Database Heterogeneity on Observational Study Results

    David Madigan;Patrick B. Ryan;Martijn Schuemie;Paul E. Stang

  • Natural language processing in an operational clinical information system

    Carol Friedman;George Hripcsak;William DuMouchel;Stephen B. Johnson

  • Squashing flat files flatter

    William DuMouchel;Chris Volinsky;Theodore Johnson;Corinna Cortes

  • Disproportionality analysis using empirical Bayes data mining: a tool for the evaluation of drug interactions in the post-marketing setting

    June S. Almenoff;June S. Almenoff;William DuMouchel;L. Allen Kindman;Xionghu Yang

  • Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department.

    June S. Almenoff;Karol K. LaCroix;Nancy A. Yuen;David Fram

  • Toward enhanced pharmacovigilance using patient-generated data on the internet.

    Ryen W. White;Rave Harpaz;Nigam H. Shah;William DuMouchel;William DuMouchel

  • Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction

    David Madigan;Nandini Raghavan;William Dumouchel;Martha Nason

  • A comparison of the empirical performance of methods for a risk identification system

    Patrick B. Ryan;Patrick B. Ryan;Paul E. Stang;Paul E. Stang;J. Marc Overhage;J. Marc Overhage;Marc A. Suchard;Marc A. Suchard

  • Computer-generated Informational Messages Directed to Physicians: Effect on Length of Hospital Stay

    Steven Shea;Robert V. Sideli;William DuMouchel;Gerald Pulver

  • Medical decision support: experience with implementing the Arden Syntax at the Columbia-Presbyterian Medical Center.

    R. A. Jenders;G. Hripcsak;R. V. Sideli;W. DuMouchel

  • Adaptation of Bayesian Data Mining Algorithms to Longitudinal Claims Data: Coxib Safety as an Example

    Jeffrey R. Curtis;Hong Cheng;Elizabeth Delzell;David Fram

  • A fast computer intrusion detection algorithm based on hypothesis testing of command transition probabilities

    William DuMouchel;Matthias Schonlau

  • Antipsychotics, glycemic disorders, and life-threatening diabetic events: a Bayesian data-mining analysis of the FDA adverse event reporting system (1968-2004).

    William DuMouchel;David Fram;Xionghu Yang;Ramy A. Mahmoud

  • Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology

    Robert Ietswaart;Seda Arat;Amanda X. Chen;Saman Farahmand

  • A time-indexed reference standard of adverse drug reactions

    Rave Harpaz;David Odgers;Greg Gaskin;William DuMouchel

  • Evaluation of Disproportionality Safety Signaling Applied to Healthcare Databases

    William DuMouchel;William DuMouchel;Patrick B. Ryan;Patrick B. Ryan;Martijn J. Schuemie;Martijn J. Schuemie;David Madigan;David Madigan

Frequent Co-Authors

David Madigan
David Madigan Northeastern University
Nigam H. Shah
Nigam H. Shah Stanford University
Martijn J. Schuemie
Martijn J. Schuemie Janssen (Belgium)
Carol Friedman
Carol Friedman Columbia University
Marc A. Suchard
Marc A. Suchard University of California, Los Angeles
Eric Horvitz
Eric Horvitz Microsoft (United States)
Ryen W. White
Ryen W. White Microsoft (United States)
George Hripcsak
George Hripcsak Columbia University
Laszlo Urban
Laszlo Urban Novartis (Switzerland)
Olivier Bodenreider
Olivier Bodenreider National Institutes of Health

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