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D-Index & Metrics

Mathematics

D-Index
36
Citations
6566
World Ranking
2612
National Ranking
156

Overview

Gabriel Turinici is affiliated with Paris Dauphine University in France. Their research spans several interconnected fields, primarily Medicine, Computer Science, and Mathematics. The scientist's work demonstrates an interdisciplinary approach, combining expertise in infectious diseases, computational techniques, and theoretical modeling.

Their contributions include publications focused on diverse subfields such as Infectious Diseases, Computer Vision and Pattern Recognition, Modeling and Simulation, Statistical and Nonlinear Physics, and Artificial Intelligence. This range reflects a blend of applied medical research and advanced computational methodologies.

Gabriel Turinici's research topics notably cover:

  • COVID-19 epidemiological studies
  • SARS-CoV-2 and COVID-19 research
  • Model reduction and neural networks
  • Mathematical and theoretical epidemiology and ecology models
  • Generative adversarial networks and image synthesis
  • COVID-19 clinical research studies
  • Markov chains and Monte Carlo methods

The scientist's recent papers include:

  • Contact rate epidemic control of COVID-19: an equilibrium view (2020), Springer Link (Chiba Institute of Technology)
  • A new transmission route for the propagation of the SARS-CoV-2 coronavirus (2020), bioRxiv (Cold Spring Harbor Laboratory)
  • A New Transmission Route for the Propagation of the SARS-CoV-2 Coronavirus (2020), Biology
  • Social heterogeneity and the COVID-19 lockdown in a multi-group SEIR model (2020), bioRxiv (Cold Spring Harbor Laboratory)
  • Immunity after COVID-19: Protection or sensitization? (2020), Mathematical Biosciences

Gabriel Turinici frequently publishes in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Lecture Notes in Computer Science
  • Zenodo (CERN European Organization for Nuclear Research)

Collaborative work is a notable aspect of their research process. Frequent coauthors include:

  • Antoine Danchin
  • Laetitia Laguzet
  • Pierre Brugière
  • Jean Dolbeault
  • Oriane Pagani-Azizi

The combination of computational and epidemiological expertise in Gabriel Turinici's research contributes to advancing understanding in infectious disease dynamics and modeling, particularly in relation to the COVID-19 pandemic. This interdisciplinary portfolio is reflected in both the diversity of publication venues and research topics, spanning theoretical frameworks and applied clinical studies.

Best Publications

  • Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods

    Christophe Prud'Homme;Dimitrios Rovas;Karen Veroy;Luc Machiels

  • Résolution d'EDP par un schéma en temps « pararéel »

    Jacques-Louis Lions;Yvon Maday;Gabriel Turinici;Gabriel Turinici

  • A PRIORI CONVERGENCE OF THE GREEDY ALGORITHM FOR THE PARAMETRIZED REDUCED BASIS METHOD

    Annalisa Buffa;Yvon Maday;Anthony T. Patera;Christophe Prud’homme

  • Lyapunov control of bilinear Schrödinger equations

    Mazyar Mirrahimi;Pierre Rouchon;Gabriel Turinici

  • New formulations of monotonically convergent quantum control algorithms

    Yvon Maday;Gabriel Turinici

  • Quantum wavefunction controllability

    Gabriel Turinici;Herschel Albert Rabitz

  • A Priori Convergence Theory for Reduced-Basis Approximations of Single-Parameter Elliptic Partial Differential Equations

    Yvon Maday;Anthony T. Patera;Gabriel Turinici

  • Parallel-in-time molecular-dynamics simulations.

    L. Baffico;S. Bernard;Y. Maday;G. Turinici

  • COMPUTATION OF MEAN FIELD EQUILIBRIA IN ECONOMICS

    Aimé Lachapelle;Julien Salomon;Gabriel Turinici

  • A parareal in time procedure for the control of partial differential equations

    Yvon Maday;Gabriel Turinici

  • A double epidemic model for the SARS propagation

    Tuen Wai Ng;Gabriel Turinici;Antoine Danchin

  • ADAPTIVE SIMULATION OF HYBRID STOCHASTIC AND DETERMINISTIC MODELS FOR BIOCHEMICAL SYSTEMS

    Aurélien Alfonsi;Eric Cancès;Gabriel Turinici;Barbara Di Ventura

  • Generalized monotonically convergent algorithms for solving quantum optimal control problems

    Yukiyoshi Ohtsuki;Gabriel Turinici;Herschel Rabitz

  • Global a priori convergence theory for reduced-basis approximations of single-parameter symmetric coercive elliptic partial differential equations

    Yvon Maday;Anthony Patera;Gabriel Turinici

  • On the controllability of bilinear quantum systems

    Gabriel Turinici

  • Wavefunction controllability for finite-dimensional bilinear quantum systems

    Gabriel Turinici;Herschel Albert Rabitz

  • Contact rate epidemic control of COVID-19: An equilibrium view

    Romuald Elie;Emma Hubert;Gabriel Turinici

  • Optimal Dynamic Discrimination of Similar Molecules through Quantum Learning Control

    Baiqing Li;Gabriel Turinici;Viswanath Ramakrishna;Herschel Rabitz

  • The Parareal in Time Iterative Solver: a Further Direction to Parallel Implementation

    Yvon Maday;Gabriel Turinici

  • Optimal molecular alignment and orientation through rotational ladder climbing

    Julien Salomon;Claude M. Dion;Gabriel Turinici

  • Reduced--Basis Output Bound Methods for Parametrized Partial Differential Equations

    Christophe Prud'Homme;D.V Rovas;K. Veroy;L. Machiels

Frequent Co-Authors

Yvon Maday
Yvon Maday Sorbonne University
Herschel Rabitz
Herschel Rabitz Princeton University
Antoine Danchin
Antoine Danchin Institut Cochin
Eric Cancès
Eric Cancès École des Ponts ParisTech
Jean Dolbeault
Jean Dolbeault Paris Dauphine University
Mazyar Mirrahimi
Mazyar Mirrahimi French Institute for Research in Computer Science and Automation - INRIA
Pierre Rouchon
Pierre Rouchon Mines ParisTech
Niels Chr. Nielsen
Niels Chr. Nielsen Aarhus University
Tony Lelièvre
Tony Lelièvre École des Ponts ParisTech
Peter Saalfrank
Peter Saalfrank University of Potsdam

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