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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
27237
World Ranking
3327
National Ranking
53

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Patrick Flandrin is affiliated with École Normale Supérieure de Lyon in France. Their research spans several interconnected fields, primarily focusing on statistical and nonlinear physics, modeling and simulation, as well as infectious diseases and public health issues. Management science and operations research also feature among their areas of study.

Their work covers a range of topics, with a notable emphasis on COVID-19 epidemiological studies and SARS-CoV-2 and COVID-19 research. Other key research themes include zoonotic diseases and public health, advanced bandit algorithms, complex network analysis techniques, opinion dynamics and social influence, and machine fault diagnosis techniques.

Frequent co-authors collaborating with Patrick Flandrin include:

  • Patrice Abry
  • Nelly Pustelnik
  • Pablo Jensen
  • Rémi Gribonval
  • Stéphane G. Roux

Patrick Flandrin has published work in several scientific venues. Frequent publication platforms include:

  • IEEE Transactions on Signal Processing
  • PLoS ONE
  • Scientometrics
  • Applied and numerical harmonic analysis
  • IEEE Signal Processing Magazine

Recent papers by Patrick Flandrin include:

  • "Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization", 2020, PLoS ONE
  • "Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data", 2022, IEEE Transactions on Signal Processing
  • "On the Behavior of MEMD in Presence of Multivariate Fractional Gaussian Noise", 2021, IEEE Transactions on Signal Processing
  • "A new clustering method to explore the dynamics of research communities", 2022, Scientometrics
  • "Theoretical Physics, Wavelets, Analysis, Genomics", 2023, Applied and numerical harmonic analysis

Best Publications

  • Empirical mode decomposition as a filter bank

    P. Flandrin;G. Rilling;P. Goncalves

  • A complete ensemble empirical mode decomposition with adaptive noise

    Maria E. Torres;Marcelo A. Colominas;Gaston Schlotthauer;Patrick Flandrin

  • On empirical mode decomposition and its algorithms

    Gabriel Rilling;Patrick Flandrin;Paulo Gonçalves

  • Improving the readability of time-frequency and time-scale representations by the reassignment method

    F. Auger;P. Flandrin

  • On the spectrum of fractional Brownian motions

    P. Flandrin

  • Time-frequency/time-scale analysis

    Patrick Flandrin

  • Wavelet analysis and synthesis of fractional Brownian motion

    P. Flandrin

  • Wigner-Ville spectral analysis of nonstationary processes

    W. Martin;P. Flandrin

  • Bivariate Empirical Mode Decomposition

    G. Rilling;P. Flandrin;P. Gonalves;J.M. Lilly

  • Time-Frequency Reassignment and Synchrosqueezing: An Overview

    Francois Auger;Patrick Flandrin;Yu-Ting Lin;Stephen McLaughlin

  • Measuring time-frequency information content using the Renyi entropies

    R.G. Baraniuk;P. Flandrin;A.J.E.M. Janssen;O.J.J. Michel

  • Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data

    P. Abry;P. Flandrin;M. S. Taqqu;D. Veitch

  • Time-scale energy distributions: a general class extending wavelet transforms

    O. Rioul;P. Flandrin

  • Multiscale nature of network traffic

    P. Abry;R. Baraniuk;P. Flandrin;R. Riedi

  • EMPIRICAL MODE DECOMPOSITIONS AS DATA-DRIVEN WAVELET-LIKE EXPANSIONS

    Patrick Flandrin;Paulo Gonçalves

  • Detrending and denoising with empirical mode decompositions

    Patrick Flandrin;Paulo Goncalves;Gabriel Rilling

  • SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE

    Pierre Borgnat;Céline Robardet;Jean-Baptiste Rouquier;Patrice Abry

  • Some features of time-frequency representations of multicomponent signals

    P. Flandrin

  • EMD Equivalent Filter Banks, from Interpretation to Applications

    Patrick Flandrin;Paulo Gonçalves;Gabriel Rilling

  • Time-Frequency Energy Distributions Meet Compressed Sensing

    Patrick Flandrin;Pierre Borgnat

  • Wavelets, spectrum analysis and 1/f processes

    Patrice Abry;Paulo Gonçalvès;Patrick Flandrin

Frequent Co-Authors

Pierre Borgnat
Pierre Borgnat École Normale Supérieure de Lyon
Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Richard G. Baraniuk
Richard G. Baraniuk Rice University
Cedric Richard
Cedric Richard Université Côte d'Azur
Darryl Veitch
Darryl Veitch University of Technology Sydney
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Rudolf H. Riedi
Rudolf H. Riedi Rice University
Stephen McLaughlin
Stephen McLaughlin Heriot-Watt University
Boualem Boashash
Boualem Boashash University of Queensland
Moeness G. Amin
Moeness G. Amin Villanova University

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