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Engineering and Technology
USA
2026
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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
81
Citations
32097
World Ranking
135
National Ranking
78

Engineering and Technology

D-Index
88
Citations
48950
World Ranking
309
National Ranking
105

James Stephen Marron 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 Stephen Marron 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: 281 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

James Stephen Marron 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 Stephen Marron 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: 81 D-Index — 96th percentile

96% 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 Engineering and Technology in United States Leader Award
  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 1998 - Fellow of the American Statistical Association (ASA)

Overview

James Stephen Marron is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a total of 27 publications. The scientist's work includes subfields such as Molecular Biology, Statistics and Probability, Artificial Intelligence, Oncology, and Computer Vision and Pattern Recognition.

The research topics covered by Marron focus on areas including gene expression and cancer classification, AI applications in cancer detection, statistical methods and inference, single-cell and spatial transcriptomics, morphological variations and asymmetry, cutaneous melanoma detection and management, as well as Bayesian methods and mixture models.

Several frequent co-authors have collaborated with Marron, comprising Charles M. Perou, Katherine A. Hoadley, Stephen M. Pizer, James Damon, and Mohsen Taheri.

Marron's frequent publication venues illustrate the breadth of their work, including UNC Libraries with 21 publications, The Annals of Applied Statistics, Cancers, Journal of Mathematical Imaging and Vision, and Test.

Among their notable recent papers are:

  • MultiK: an automated tool to determine optimal cluster numbers in single-cell RNA sequencing data (2021) published in Genome Biology
  • A General Framework for Consistency of Principal Component Analysis (2020) published in The HKU Scholars Hub (University of Hong Kong)
  • Biclustering reveals potential knee OA phenotypes in exploratory analyses: Data from the Osteoarthritis Initiative (2022) published in PLoS ONE
  • Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study (2023) published in npj Breast Cancer
  • SCISSOR: a framework for identifying structural changes in RNA transcripts (2021) published in Nature Communications

Marron was recognized as a Fellow of the American Statistical Association in 1998.

Best Publications

  • Repeated observation of breast tumor subtypes in independent gene expression data sets

    Therese Sørlie;Robert Tibshirani;Joel Parker;Trevor Hastie

  • Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

    Joel S. Parker;Michael Mullins;Maggie C.U. Cheang;Samuel Leung

  • Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

    Eric A. Collisson;Joshua D. Campbell;Angela N. Brooks;Angela N. Brooks;Alice H. Berger

  • The molecular portraits of breast tumors are conserved across microarray platforms

    Zhiyuan Hu;Cheng Fan;Daniel S Oh;JS Marron

  • A Brief Survey of Bandwidth Selection for Density Estimation

    M. C. Jones;J. S. Marron;S. J. Sheather

  • A method for normalizing histology slides for quantitative analysis

    Marc Macenko;Marc Niethammer;J. S. Marron;David Borland

  • Exact Mean Integrated Squared Error

    J. S. Marron;M. P. Wand

  • Predicting fault incidence using software change history

    T.L. Graves;A.F. Karr;J.S. Marron;H. Siy

  • Does code decay? Assessing the evidence from change management data

    S.G. Eick;T.L. Graves;A.F. Karr;J.S. Marron

  • SiZer for Exploration of Structures in Curves

    Probal Chaudhuri;James Stephen Marron

  • Comparison of Data-Driven Bandwidth Selectors

    Byeong U. Park;J. S. Marron

  • Geometric representation of high dimension, low sample size data

    Peter Hall;J. S. Marron;Amnon Neeman

  • Optimal Bandwidth Selection in Nonparametric Regression Function Estimation

    Wolfgang Hardle;James Stephen Marron

  • JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES

    Eric F. Lock;Katherine A. Hoadley;J. S. Marron;Andrew B. Nobel

  • Adjustment of systematic microarray data biases

    Monica Benito;Joel Parker;Quan Du;Junyuan Wu

  • How Far are Automatically Chosen Regression Smoothing Parameters from their Optimum

    Wolfgang Härdle;Peter Hall;J. S. Marron

  • Robust principal component analysis for functional data

    N. Locantore;J. S. Marron;D. G. Simpson;N. Tripoli

  • Characterization of HPV and host genome interactions in primary head and neck cancers.

    Michael Parfenov;Chandra Sekhar Pedamallu;Nils Gehlenborg;Nils Gehlenborg;Samuel S. Freeman

  • Distance-Weighted Discrimination

    J. S Marron;Michael J Todd;Jeongyoun Ahn

  • Transformations in Density Estimation

    M. P. Wand;J. S. Marron;D. Ruppert

  • Bootstrap Simultaneous Error Bars for Nonparametric Regression

    W. Hardle;J. S. Marron

  • Geometric representation of high dimension, low sample size data

    Hall Peter Gavin;J S Marron;Amnon Neeman

Frequent Co-Authors

Charles M. Perou
Charles M. Perou University of North Carolina at Chapel Hill
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill
Stephen M. Pizer
Stephen M. Pizer University of North Carolina at Chapel Hill
Joel S. Parker
Joel S. Parker University of North Carolina at Chapel Hill
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Andrew B. Nobel
Andrew B. Nobel University of North Carolina at Chapel Hill
Matthew D. Wilkerson
Matthew D. Wilkerson Uniformed Services University of the Health Sciences
Matt P. Wand
Matt P. Wand University of Technology Sydney
Elizabeth Bullitt
Elizabeth Bullitt University of North Carolina at Chapel Hill
Martin Styner
Martin Styner University of North Carolina at Chapel Hill

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