World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
6617
World Ranking
13408
National Ranking
5364

Mathematics

D-Index
30
Citations
6809
World Ranking
3430
National Ranking
1335

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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