World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
8039
World Ranking
1775
National Ranking
764

Wesley O. Johnson 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 Wesley O. Johnson 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: 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 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: 137 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Wesley O. Johnson 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 Wesley O. Johnson 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: 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: 42 D-Index — 51st percentile

51% 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

  • 1997 - Fellow of the American Statistical Association (ASA)

Overview

Wesley O. Johnson is affiliated with the University of California, Irvine in the United States. Their research primarily spans the field of Medicine with notable contributions to subfields such as Epidemiology, Statistics and Probability, Rheumatology, Agronomy and Crop Science, and Parasitology.

The main topics of their work include:

  • Pelvic floor disorders treatments
  • Animal Disease Management and Epidemiology
  • Mycobacterium research and diagnosis
  • Leptospirosis research and findings
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Inference

Wesley O. Johnson has frequently published in the following venues:

  • Obstetrics and Gynecology
  • Preventive Veterinary Medicine
  • SSRN Electronic Journal
  • Departures in Critical Qualitative Research
  • Bayesian Analysis

Recent papers authored or co-authored by Johnson include:

  • Patterns of Sexual Activity and the Development of Sexual Pain Across the Menopausal Transition (2022, Obstetrics and Gynecology)
  • Modelling Variation in Test Sensitivity for Monitoring Leptospirosis in Beef Cattle (2023, Preventive Veterinary Medicine)
  • Modelling Variation in Test Sensitivity for Monitoring Leptospirosis in Beef Cattle (2023, SSRN Electronic Journal)
  • Guest Editor's Introduction (2021, Departures in Critical Qualitative Research)
  • Normal Approximation for Bayesian Mixed Effects Binomial Regression Models (2022, Bayesian Analysis)

The scientist has collaborated frequently with coauthors including:

  • L. Elaine Waetjen
  • Guibo Xing
  • Rachel Hess
  • Nancy E. Avis
  • Barbara D. Reed

Wesley O. Johnson was recognized as a Fellow of the American Statistical Association (ASA) in 1997.

Best Publications

  • Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling.

    A.J. Branscum;I.A. Gardner;W.O. Johnson

  • Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown.

    Claes Enøe;Marios P Georgiadis;Wesley O Johnson

  • A New Perspective on Priors for Generalized Linear Models

    Edward J. Bedrick;Ronald Christensen;Wesley Johnson

  • A Bayesian perspective on the Bonferroni adjustment

    Peter H. Westfall;Wesley O. Johnson;Jessica M. Utts

  • Case-deletion diagnostics for mixed models

    Ronald Christensen;Larry M. Pearson;Wesley Johnson

  • Modeling Regression Error With a Mixture of Polya Trees

    Timothy Hanson;Wesley O Johnson

  • Factors Affecting Menstrual Cycle Characteristics

    Yan Liu;Ellen B. Gold;Bill L. Lasley;Wesley O. Johnson

  • Screening without a “Gold Standard”: The Hui-Walter Paradigm Revisited

    Wesley O. Johnson;Joseph L. Gastwirth;Larry M. Pearson

  • Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests

    Marios P. Georgiadis;Wesley O. Johnson;Ian A. Gardner;Ramanpreet Singh

  • STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models

    Polychronis Kostoulas;Søren S. Nielsen;Adam J. Branscum;Wesley O. Johnson

  • Comparison of methods for estimation of individual-level prevalence based on pooled samples

    David W. Cowling;Ian A. Gardner;Wesley O. Johnson

  • Bayesian nonparametric nonproportional hazards survival modeling.

    Maria De Iorio;Wesley O. Johnson;Peter Müller;Gary L. Rosner

  • A Predictive View of the Detection and Characterization of Influential Observations in Regression Analysis

    Wesley Johnson;Seymour Geisser

  • Herd-level prevalence of Mycobacterium avium subsp. paratuberculosis infection in United States dairy herds in 2007

    J.E. Lombard;I.A. Gardner;S.R. Jafarzadeh;C.P. Fossler

  • Identifiability of Models for Multiple Diagnostic Testing in the Absence of a Gold Standard

    Geoffrey Jones;Wesley O. Johnson;Timothy E. Hanson;Ronald Christensen

  • Bayesian modeling of animal- and herd-level prevalences.

    A.J. Branscum;I.A. Gardner;W.O. Johnson

  • BAYESIAN BETA REGRESSION: APPLICATIONS TO HOUSEHOLD EXPENDITURE DATA AND GENETIC DISTANCE BETWEEN FOOT‐AND‐MOUTH DISEASE VIRUSES

    Adam J. Branscum;Wesley O. Johnson;Mark C. Thurmond

  • Modelling risk when binary outcomes are subject to error.

    Pat McInturff;Wesley O Johnson;David Cowling;Ian A Gardner

  • Differential Impact of West Nile Virus on California Birds

    Sarah S. Wheeler;Christopher M. Barker;Ying Fang;M. Veronica Armijos

  • The Bayesian two-sample t-test

    Mithat Gönen;Wesley O Johnson;Yonggang Lu;Peter H Westfall

Frequent Co-Authors

Ian A. Gardner
Ian A. Gardner University of Prince Edward Island
Mark C. Thurmond
Mark C. Thurmond University of California, Davis
Ellen B. Gold
Ellen B. Gold University of California, Davis
Joseph L. Gastwirth
Joseph L. Gastwirth George Washington University
Sharon K. Hietala
Sharon K. Hietala University of California, Davis
Claudia A. Muñoz-Zanzi
Claudia A. Muñoz-Zanzi University of Minnesota
Andres M Perez
Andres M Perez University of Minnesota
Tim E. Carpenter
Tim E. Carpenter University of California, Davis
Cord Heuer
Cord Heuer Massey University
Nigel P. French
Nigel P. French Massey University

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