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Ronald R. Coifman

Ronald R. Coifman

D-Index & Metrics

Engineering and Technology

D-Index
70
Citations
32852
World Ranking
1011
National Ranking
343

Research.com Recognitions

  • 2018 - Rolf Schock Prize for Mathematics
  • 2002 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1999 - US President's National Medal of Science "For his fundamental contributions to pure mathematics in the field of harmonic analysis, and for his achievements in the adaptation of that field to the capabilities of the digital computer to produce a family of fast, robust computational tools that have substantially benefited science and technology.", Presented by President William Clinton in a White House (East Room) ceremony on Tuesday, March 14, 2000.
  • 1998 - Member of the National Academy of Sciences
  • 1994 - Fellow of the American Academy of Arts and Sciences
  • 1970 - Fellow of Alfred P. Sloan Foundation

Overview

Ronald R. Coifman is affiliated with Yale University in the United States. Their research primarily focuses on Medicine, with specific attention to subfields such as Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Health Information Management, and Artificial Intelligence.

The scientist's recent publications encompass research that integrates machine learning and healthcare, particularly diabetes management and cardiovascular risks. Notable papers include:

  • Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case-control study, 2024, BMJ Open Diabetes Research & Care
  • Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case-control study, 2024, UNC Libraries
  • Comparing statistical and deep learning techniques for parameter estimation of continuous-time stochastic differentiable equations, 2025, arXiv (Cornell University)

The venues in which Ronald R. Coifman frequently publishes reflect interdisciplinary interests bridging medicine and data science. These include:

  • BMJ Open Diabetes Research & Care
  • UNC Libraries
  • arXiv (Cornell University)

Co-authorship is a significant aspect of their research output. Frequent collaborators are:

  • Nikki L. B. Freeman
  • Rashmi Muthukkumar
  • Ruth S. Weinstock
  • Anna R. Kahkoska
  • Abdul J. Sankoh

The scientific topics addressed in their work include:

  • Diabetes Management and Research
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Cardiovascular Function and Risk Factors
  • Artificial Intelligence in Healthcare
  • Machine Learning in Healthcare

Throughout their career, Ronald R. Coifman has received several awards and recognition within the scientific community. These include:

  • Rolf Schock Prize for Mathematics (2018)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2002)
  • US President's National Medal of Science (1999) - awarded for fundamental contributions to pure mathematics in harmonic analysis and its digital computational applications, presented by President William Clinton
  • Member of the National Academy of Sciences (1998)
  • Fellow of the American Academy of Arts and Sciences (1994)
  • Fellow of Alfred P. Sloan Foundation (1970)

Best Publications

  • Entropy-based algorithms for best basis selection

    R.R. Coifman;M.V. Wickerhauser

  • Translation-Invariant De-Noising

    R. R. Coifman;D. L. Donoho

  • Fast wavelet transforms and numerical algorithms I

    G. Beylkin;R. Coifman;V. Rokhlin

  • 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

  • The fast multipole method for the wave equation: a pedestrian prescription

    R. Coifman;V. Rokhlin;S. Wandzura

  • Diffusion maps, spectral clustering and reaction coordinates of dynamical systems

    Boaz Nadler;Stéphane Lafon;Ronald R. Coifman;Ioannis G. Kevrekidis

  • Visualizing structure and transitions in high-dimensional biological data

    Kevin R Moon;David van Dijk;Zheng Wang;Zheng Wang;Scott Gigante

  • Scattering and inverse scattering for first order systems

    R. Beals;R. R. Coifman

  • Signal processing and compression with wavelet packets

    Ronald R. Coifman;Yves Meyer;Steven Quake;M. Victor Wickerhauser

  • Wavelet analysis and signal processing

    R. R. Coifman

  • Wavelet-like bases for the fast solutions of second-kind integral equations

    B. Alpert;G. Beylkin;R. Coifman;V. Rokhlin

  • Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators

    Boaz Nadler;Stephane Lafon;Ioannis Kevrekidis;Ronald R. Coifman

  • Data Fusion and Multicue Data Matching by Diffusion Maps

    S. Lafon;Y. Keller;R.R. Coifman

  • Brushlets: A Tool for Directional Image Analysis and Image Compression

    François G. Meyer;Ronald R. Coifman

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

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

  • Transference methods in analysis

    R. Coifman;G. Weiss

  • Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions

    Ronald R. Coifman;Stéphane Lafon

  • Local discriminant bases and their applications

    Naoki Saito;Ronald R. Coifman

  • Wavelets: Calderón-Zygmund and Multilinear Operators

    Yves Meyer;Ronald R. Coifman

  • System and method for encoded spatio-spectral information processing

    William G. Fateley;Ronald R. Coifman;Frank Geshwind;Richard A. Deverse

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

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

  • Fast and accurate Polar Fourier transform

    A. Averbuch;R.R. Coifman;D.L. Donoho;M. Elad

  • Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck operators

    Boaz Nadler;Stephane Lafon;Ronald R. Coifman;Ioannis G. Kevrekidis

Frequent Co-Authors

Amir Averbuch
Amir Averbuch Tel Aviv University
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
Mauro Maggioni
Mauro Maggioni Johns Hopkins University
Boaz Nadler
Boaz Nadler Weizmann Institute of Science
Steven W. Zucker
Steven W. Zucker Yale University
Guido Weiss
Guido Weiss Washington University in St. Louis
Vladimir Rokhlin
Vladimir Rokhlin Yale University
Zheng Wang
Zheng Wang Shanghai Jiao Tong University
Israel Cohen
Israel Cohen Technion – Israel Institute of Technology
Gregory Beylkin
Gregory Beylkin University of Colorado Boulder

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