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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
78
Citations
26165
World Ranking
170
National Ranking
100

Joseph G. Ibrahim 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 Joseph G. Ibrahim 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: 360 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Joseph G. Ibrahim 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 Joseph G. Ibrahim 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: 78 D-Index — 95th percentile

95% 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
  • 1999 - Fellow of the American Statistical Association (ASA)

Overview

Joseph G. Ibrahim is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research spans various domains within mathematics, with a particular focus on statistical methods and Bayesian inference.

Their recent publications include the following:

  • BAYESIAN METHODS FOR JOINT MODELING OF LONGITUDINAL AND SURVIVAL DATA WITH APPLICATIONS TO CANCER VACCINE TRIALS, 2021, Statistica Sinica
  • CONJUGATE PRIORS FOR GENERALIZED LINEAR MODELS, 2021, UNC Libraries
  • MRLocus: Identifying causal genes mediating a trait through Bayesian estimation of allelic heterogeneity, 2021, PLoS Genetics
  • Expression of p16 INK4a in peripheral blood T-cells is a biomarker of human aging, 2020, UNC Libraries
  • Efficacy of a Dual-Epitope Dendritic Cell Vaccine as Part of Combined Immunotherapy for HER2-Expressing Breast Tumors, 2023, The Journal of Immunology

The scientist has collaborated frequently with several coauthors, including:

  • Ming-Hui Chen
  • Matthew A. Psioda
  • Hongtu Zhu
  • Naim U. Rashid

Joseph G. Ibrahim has published extensively in multiple venues, prominently including:

  • UNC Libraries
  • Statistics in Medicine
  • arXiv (Cornell University)
  • Biostatistics
  • Biometrics

Their primary field of study is Mathematics, with substantial contributions to subfields such as:

  • Statistics and Probability
  • Molecular Biology
  • Artificial Intelligence
  • Oncology
  • Economics and Econometrics

Research topics covered by their work include:

  • Statistical Methods and Inference
  • Statistical Methods in Clinical Trials
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Advanced Causal Inference Techniques
  • Gene expression and cancer classification
  • Health Systems, Economic Evaluations, Quality of Life

In 1999, Joseph G. Ibrahim was recognized as a Fellow of the American Statistical Association (ASA).

Best Publications

  • Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences.

    Anqi Zhu;Joseph G Ibrahim;Michael I Love

  • Bayesian Survival Analysis

    Joseph George Ibrahim;Ming-Hui Chen;Debajyoti Sinha

  • Monte Carlo Methods in Bayesian Computation

    Ming-Hui Chen;Qi-Man Shao;Joseph George Ibrahim

  • Power prior distributions for regression models

    Joseph G. Ibrahim;Ming Hui Chen

  • A Pooled Analysis of Eastern Cooperative Oncology Group and Intergroup Trials of Adjuvant High-Dose Interferon for Melanoma

    John M. Kirkwood;Judith Manola;Joseph Ibrahim;Vernon Sondak

  • Missing data methods in longitudinal studies: a review

    Joseph G. Ibrahim;Geert Molenberghs

  • A New Bayesian Model For Survival Data With a Surviving Fraction

    Ming Hui Chen;Joseph G Ibrahim;Debajyoti Sinha

  • Missing-data methods for generalized linear models: A comparative review

    Joseph G. Ibrahim;Ming Hui Chen;Stuart R. Lipsitz;Amy H. Herring

  • Use of historical control data for assessing treatment effects in clinical trials.

    Kert Viele;Scott Berry;Beat Neuenschwander;Billy Amzal

  • Basic Concepts and Methods for Joint Models of Longitudinal and Survival Data

    Joseph G. Ibrahim;Haitao Chu;Liddy M. Chen

  • Predictive Model Selection

    Purushottam W. Laud;Joseph G. Ibrahim

  • Estimating Cure Rates From Survival Data: An Alternative to Two-Component Mixture Models.

    A Tsodikov;Joseph G Ibrahim;A Y Yakovlev

  • Incomplete Data in Generalized Linear Models

    Joseph G. Ibrahim

  • Prognostic Factors in Metastatic Melanoma: A Pooled Analysis of Eastern Cooperative Oncology Group Trials

    Judith Manola;Michael Atkins;Joseph Ibrahim;John Kirkwood

  • Phase III trial of dacarbazine versus dacarbazine with interferon alpha-2b versus dacarbazine with tamoxifen versus dacarbazine with interferon alpha-2b and tamoxifen in patients with metastatic malignant melanoma: an Eastern Cooperative Oncology Group study.

    Carla I. Falkson;Joseph Ibrahim;John M. Kirkwood;Alan S. Coates

  • The power prior: theory and applications.

    Joseph G. Ibrahim;Ming Hui Chen;Yeongjin Gwon;Fang Chen

  • Missing covariates in generalized linear models when the missing data mechanism is non-ignorable

    Joseph G. Ibrahim;Stuart R. Lipsitz;Ming Hui Chen

  • Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable

    Joseph G Ibrahim;Ming Hui Chen;Stuart R. Lipsitz

  • Handbook of survival analysis

    John P. Klein;Hans C. van Houwelingen;Joseph G. Ibrahim;Thomas H. Scheike

  • A Flexible B-Spline Model for Multiple Longitudinal Biomarkers and Survival

    Elizabeth R. Brown;Joseph G. Ibrahim;Victor DeGruttola

Frequent Co-Authors

Ming-Hui Chen
Ming-Hui Chen University of Connecticut
Stuart R. Lipsitz
Stuart R. Lipsitz Brigham and Women's Hospital
Garrett M. Fitzmaurice
Garrett M. Fitzmaurice Harvard University
Haitao Chu
Haitao Chu University of Minnesota
Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
William K. Kaufmann
William K. Kaufmann AsystBio (United States)
Howard L. McLeod
Howard L. McLeod Utah Tech University
Lisa A. Carey
Lisa A. Carey University of North Carolina at Chapel Hill
Weili Lin
Weili Lin University of North Carolina at Chapel Hill

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