World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
80
Citations
29917
World Ranking
146
National Ranking
85

Computer Science

D-Index
78
Citations
29794
World Ranking
1181
National Ranking
628

Allen Tannenbaum 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 Allen Tannenbaum 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: 485 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Allen Tannenbaum 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 Allen Tannenbaum 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: 80 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.

Overview

Allen Tannenbaum was a researcher primarily affiliated with Stony Brook University in the United States. Their academic contributions spanned across various fields, focusing on medicine and biochemistry, genetics, and molecular biology.

Their work included significant research in subfields such as molecular biology, radiology, nuclear medicine, imaging, cellular and molecular neuroscience, pulmonary and respiratory medicine, as well as computational theory and mathematics.

The research topics they focused on encompassed bioinformatics and genomic networks, cerebrospinal fluid and hydrocephalus, radiomics and machine learning in medical imaging, advanced neuroimaging techniques and applications, gene expression and cancer classification, ferroptosis and cancer prognosis, and computational drug discovery methods.

Throughout their career, they published extensively in several venues. Frequent publication outlets included bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Scientific Reports, Cancer Research, and Nature Aging.

Some notable papers associated with the research field surrounding or relevant to their work included:

  • Perivascular spaces in the brain: anatomy, physiology and pathology, 2020, Nature Reviews Neurology
  • The glymphatic system: Current understanding and modeling, 2022, iScience
  • The choroid plexus links innate immunity to CSF dysregulation in hydrocephalus, 2023, Cell
  • Optimal Mass Transport with Lagrangian Workflow Reveals Advective and Diffusion Driven Solute Transport in the Glymphatic System, 2020, Scientific Reports
  • Glymphatic Cerebrospinal Fluid and Solute Transport Quantified by MRI and PET Imaging, 2020, Neuroscience

The list of frequent coauthors includes:

  • Joseph O. Deasy
  • Jung Hun Oh
  • Rena Elkin
  • Helene Benveniste
  • Larry Norton

Allen Tannenbaum's research contributed to multiple interconnected disciplines, integrating computational and experimental approaches to address complex biological and medical challenges.

Best Publications

  • Feedback Control Theory

    John Comstock Doyle;Bruce A. Francis;Allen R. Tannenbaum

  • Localizing Region-Based Active Contours

    S. Lankton;A. Tannenbaum

  • Gradient flows and geometric active contour models

    S. Kichenassamy;A. Kumar;P. Olver;A. Tannenbaum

  • A geometric snake model for segmentation of medical imagery

    A. Yezzi;S. Kichenassamy;A. Kumar;P. Olver

  • Shapes, shocks, and deformations I: the components of two-dimensional shape and the reaction-diffusion space

    Benjamin B. Kimia;Allen R. Tannenbaum;Steven W. Zucker

  • Robust control of linear time-invariant plants using periodic compensation

    P. Khargonekar;K. Poolla;A. Tannenbaum

  • Behavioral analysis of anisotropic diffusion in image processing

    Yu-Li You;Wenyuan Xu;A. Tannenbaum;M. Kaveh

  • Conformal curvature flows: From phase transitions to active vision

    Satyanad Kichenassamy;Arun Kumar;Peter Olver;Allen Tannenbaum

  • Hamilton-Jacobi Skeletons

    Kaleem Siddiqi;Sylvain Bouix;Allen Tannenbaum;Steven W. Zucker

  • Despeckling of medical ultrasound images

    O.V. Michailovich;A. Tannenbaum

  • Affine invariant scale-space

    Guillermo Sapiro;Allen Tannenbaum;Allen Tannenbaum

  • A lifting technique for linear periodic systems with applications to sampled-data control

    Bassam Bamieh;J. Boyd Pearson;Bruce A. Francis;Allen Tannenbaum;Allen Tannenbaum

  • Conformal surface parameterization for texture mapping

    S. Haker;S. Angenent;A. Tannenbaum;R. Kikinis

  • Optimal Mass Transport for Registration and Warping

    Steven Haker;Lei Zhu;Allen Tannenbaum;Sigurd Angenent

  • Area and length minimizing flows for shape segmentation

    K. Siddiqi;Y.B. Lauziere;A. Tannenbaum;S.W. Zucker

  • Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow

    O. Michailovich;Y. Rathi;A. Tannenbaum

  • On affine plane curve evolution

    G. Sapiro;A. Tannenbaum

  • Robust Control of Infinite Dimensional Systems: Frequency Domain Methods

    C. Foias;Hitay Ozbay;Allen R. Tannenbaum;M. Thoma

  • Non-Euclidian metrics and the robust stabilization of systems with parameter uncertainty

    P. Khargonekar;A. Tannenbaum

  • Differential and Numerically Invariant Signature Curves Applied to Object Recognition

    Eugenio Calabi;Peter J. Olver;Chehrzad Shakiban;Allen Tannenbaum

Frequent Co-Authors

Tryphon T. Georgiou
Tryphon T. Georgiou University of California, Irvine
Ciprian Foias
Ciprian Foias Texas A&M University
Anthony Yezzi
Anthony Yezzi Georgia Institute of Technology
Yogesh Rathi
Yogesh Rathi Brigham and Women's Hospital
Guillermo Sapiro
Guillermo Sapiro Princeton University
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill
Steven W. Zucker
Steven W. Zucker Yale University
Patricio A. Vela
Patricio A. Vela Georgia Institute of Technology
Sigurd B. Angenent
Sigurd B. Angenent University of Wisconsin–Madison
Sylvain Bouix
Sylvain Bouix Harvard Medical School

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