World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
45667
World Ranking
8544
National Ranking
3650

Donald Geman publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Donald Geman sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Donald Geman D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Donald Geman sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2015 - Member of the National Academy of Sciences
  • 2010 - SIAM Fellow For contributions to stochastic processes, image analysis, and statistical learning.

Overview

Donald Geman is affiliated with Johns Hopkins University in the United States. Their research spans multiple fields including Biochemistry, Genetics and Molecular Biology as well as Computer Science.

Their main subfields of study include:

  • Molecular Biology
  • Artificial Intelligence
  • Cancer Research
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging

Key research topics explored by Geman are:

  • Gene expression and cancer classification
  • Metabolomics and Mass Spectrometry Studies
  • Molecular Biology Techniques and Applications
  • Single-cell and spatial transcriptomics
  • Advanced MRI Techniques and Applications
  • Lanthanide and Transition Metal Complexes
  • Microbial Metabolic Engineering and Bioproduction

Frequent coauthors collaborating with Geman include:

  • Laurent Younès (11 joint publications)
  • Luigi Marchionni (8 joint publications)
  • Wikum Dinalankara (7 joint publications)
  • Qian Ke (4 joint publications)
  • Akira Sawa (3 joint publications)

Publication venues where Geman has frequently published are:

  • bioRxiv (Cold Spring Harbor Laboratory) with 6 publications
  • Molecular Psychiatry
  • Metabolites
  • Preprints.org
  • IEEE Transactions on Information Forensics and Security

Notable recent papers authored include:

  • Longitudinal changes in brain metabolites in healthy controls and patients with first episode psychosis: a 7-Tesla MRS study (2023, Molecular Psychiatry)
  • Identifying Personalized Metabolic Signatures in Breast Cancer (2020, Metabolites)
  • Longitudinal changes in brain metabolites in healthy subjects and patients with first episode psychosis (FEP): a 7-Tesla MRS study (2020, bioRxiv)
  • Identifying personalized metabolic signatures in breast cancer (2020, Preprints.org)
  • Attribute Prototype Learning for Interactive Face Retrieval (2021, IEEE Transactions on Information Forensics and Security)

Geman has been recognized by several awards, including election as a Member of the National Academy of Sciences in 2015 and being named a SIAM Fellow in 2010 for contributions to stochastic processes, image analysis, and statistical learning.

Best Publications

  • Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*

    Stuart Geman;Donald Geman

  • Tackling the widespread and critical impact of batch effects in high-throughput data

    Jeffrey T. Leek;Robert B. Scharpf;Héctor Corrada Bravo;Héctor Corrada Bravo;David Simcha

  • Shape quantization and recognition with randomized trees

    Yali Amit;Donald Geman

  • Constrained restoration and the recovery of discontinuities

    D. Geman;G. Reynolds

  • Nonlinear image recovery with half-quadratic regularization

    D. Geman;Chengda Yang

  • An active testing model for tracking roads in satellite images

    D. Geman;B. Jedynak

  • Boundary detection by constrained optimization

    D. Geman;S. Geman;C. Graffigne;P. Dong

  • Simple decision rules for classifying human cancers from gene expression profiles

    Aik Choon Tan;Daniel Q. Naiman;Lei Xu;Raimond L. Winslow

  • Classifying Gene Expression Profiles from Pairwise mRNA Comparisons

    Donald Geman;Christian d'Avignon;Daniel Q. Naiman;Raimond L. Winslow

  • Random fields and inverse problems in imaging

    D. Geman

  • Coarse-to-Fine Face Detection

    Francois Fleuret;Donald Geman

  • Visual Turing test for computer vision systems

    Donald Geman;Stuart Geman;Neil Hallonquist;Laurent Younes

  • Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields

    Haluk Derin;Howard Elliott;Roberto Cristi;Donald Geman

  • Joint induction of shape features and tree classifiers

    Y. Amit;D. Geman;K. Wilder

  • A computational model for visual selection

    Yali Amit;Donald Geman

  • Computational Medicine: Translating Models to Clinical Care

    Raimond L. Winslow;Natalia Trayanova;Donald Geman;Michael I. Miller

  • A coarse-to-fine strategy for multiclass shape detection

    Y. Amit;D. Geman;X. Fan

  • Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data

    Lei Xu;Aik Choon Tan;Daniel Q. Naiman;Donald Geman

  • A Local Time Analysis of Intersections of Brownian Paths in the Plane

    Donald Geman;Joseph Horowitz;Jay Rosen

  • Comparing machines and humans on a visual categorization test

    François Fleuret;Ting Li;Charles Dubout;Emma K. Wampler

  • Relative expression analysis for molecular cancer diagnosis and prognosis

    James A. Eddy;Jaeyun Sung;Donald Geman;Nathan D. Price

Frequent Co-Authors

Laurent Younes
Laurent Younes Johns Hopkins University
Nathan D. Price
Nathan D. Price University of Illinois at Urbana-Champaign
Nozha Boujemaa
Nozha Boujemaa French Institute for Research in Computer Science and Automation - INRIA
Joseph A. Califano
Joseph A. Califano University of California, San Diego
Leroy Hood
Leroy Hood University of Washington
Aik Choon Tan
Aik Choon Tan University of Utah
Jeffrey T. Leek
Jeffrey T. Leek Fred Hutchinson Cancer Research Center
Theo A. Knijnenburg
Theo A. Knijnenburg Altius Institute for Biomedical Sciences
Leslie Cope
Leslie Cope Johns Hopkins University School of Medicine
Bert Vogelstein
Bert Vogelstein Johns Hopkins University

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