World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
30
Citations
6809
World Ranking
3431
National Ranking
1334

Computer Science

D-Index
31
Citations
6617
World Ranking
13405
National Ranking
5363

Mauro Maggioni 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 Mauro Maggioni 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: 113 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Mauro Maggioni 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 Mauro Maggioni 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: 30 D-Index — 5th percentile

5% 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

  • 2013 - Fellow of the American Mathematical Society

Overview

Mauro Maggioni is affiliated with Johns Hopkins University in the United States. Their research spans interdisciplinary areas primarily focused on Physics and Astronomy as well as Computer Science. The main fields of study include Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, and Computational Theory and Mathematics.

Their work covers diverse topics such as Model Reduction and Neural Networks, Cardiac Imaging and Diagnostics, Complex Network Analysis Techniques, Advanced Mathematical Modeling in Engineering, Opinion Dynamics and Social Influence, Cardiac Electrophysiology and Arrhythmias, and Advanced X-ray and CT Imaging.

Frequent collaborators of Mauro Maggioni include Natalia A. Trayanova, Fei Lu, Kathérine C. Wu, Dan M. Popescu, and Julie K. Shade.

Key venues where their research has been published are arXiv (Cornell University), Nature Cardiovascular Research, Heart Rhythm, Cardiovascular Digital Health Journal, and Nature Computational Science.

Recent notable publications include:

  • Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart, 2022, Nature Cardiovascular Research
  • Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy, 2020, Circulation Arrhythmia and Electrophysiology
  • Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction, 2021, Cardiovascular Digital Health Journal
  • Learning Interaction Kernels in Stochastic Systems of Interacting Particles from Multiple Trajectories, 2021, Foundations of Computational Mathematics
  • Data-driven discovery of emergent behaviors in collective dynamics, 2020, Physica D Nonlinear Phenomena

Mauro Maggioni has been recognized as a Fellow of the American Mathematical Society since 2013.

Best Publications

  • Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps

    R. R. Coifman;S. Lafon;A. B. Lee;M. Maggioni

  • Diffusion wavelets

    Unknown

  • Diffusion maps, reduction coordinates, and low dimensional representation of stochastic systems

    Ronald R. Coifman;Ioannis G. Kevrekidis;Stéphane Lafon;Mauro Maggioni

  • Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes

    Sridhar Mahadevan;Mauro Maggioni

  • Determination of reaction coordinates via locally scaled diffusion map

    Mary A. Rohrdanz;Wenwei Zheng;Mauro Maggioni;Cecilia Clementi

  • Methods for filtering data and filling in missing data using nonlinear inference

    Edo Liberty;Steven Zucker;Yosi Keller;Mauro M. Maggioni

  • Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods

    R. R. Coifman;S. Lafon;A. B. Lee;M. Maggioni

  • Tensor-CUR Decompositions for Tensor-Based Data

    Michael W. Mahoney;Mauro Maggioni;Petros Drineas

  • Manifold parametrizations by eigenfunctions of the Laplacian and heat kernels

    Peter W. Jones;Mauro Maggioni;Raanan Schul

  • Diffusion wavelet packets

    James C. Bremer;Ronald R. Coifman;Mauro Maggioni;Arthur D. Szlam

  • Regularization on Graphs with Function-adapted Diffusion Processes

    Arthur D. Szlam;Mauro Maggioni;Ronald R. Coifman

  • Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis

    William K. Allard;Guangliang Chen;Mauro Maggioni

  • Genomic characterization of large heterochromatic gaps in the human genome assembly.

    Nicolas Altemose;Karen H. Miga;Mauro Maggioni;Huntington F. Willard

  • System and method for document analysis, processing and information extraction

    Ronald R. Coifman;Andreas C. Coppi;Frank B. Geshwind;Stephane S. Lafon

  • Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions

    Sridhar Mahadevan;Mauro Maggioni

  • Multiscale approximation with hierarchical radial basis functions networks

    S. Ferrari;M. Maggioni;N.A. Borghese

  • Diffusion polynomial frames on metric measure spaces

    M. Maggioni;H.N. Mhaskar

  • Nonparametric inference of interaction laws in systems of agents from trajectory data

    Fei Lu;Ming Zhong;Sui Tang;Mauro Maggioni

  • Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature

    Anna V. Little;Mauro Maggioni;Lorenzo Rosasco;Lorenzo Rosasco;Lorenzo Rosasco

  • Diffusion-driven multiscale analysis on manifolds and graphs: top-down and bottom-up constructions

    Arthur D. Szlam;Mauro Maggioni;Ronald R. Coifman;James C. Bremer

  • Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion

    James M. Murphy;Mauro Maggioni

  • Estimation of intrinsic dimensionality of samples from noisy low-dimensional manifolds in high dimensions with multiscale SVD

    Anna V. Little;Jason Lee;Yoon-Mo Jung;Mauro Maggioni

  • Characterization of General Tight Wavelet Frames with Matrix Dilations and Tightness Preserving Oversampling

    Charles K. Chui;Wojeich Czaja;Mauro Maggioni;Guideo Weiss

  • Polymer reversal rate calculated via locally scaled diffusion map.

    Wenwei Zheng;Mary A. Rohrdanz;Mauro Maggioni;Cecilia Clementi

Frequent Co-Authors

Ronald R. Coifman
Ronald R. Coifman Yale University
Joshua T. Vogelstein
Joshua T. Vogelstein Johns Hopkins University
Randal Burns
Randal Burns Johns Hopkins University
Steven W. Zucker
Steven W. Zucker Yale University
Carey E. Priebe
Carey E. Priebe Johns Hopkins University
Peter W. Jones
Peter W. Jones Yale University
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Sridhar Mahadevan
Sridhar Mahadevan University of Massachusetts Amherst
Cecilia Clementi
Cecilia Clementi Freie Universität Berlin

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