D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 50 Citations 8,618 277 World Ranking 1497 National Ranking 23

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Statistics
  • Mathematical analysis

Applied mathematics, Uncertainty quantification, Mathematical analysis, Random element and Random field are his primary areas of study. His studies in Applied mathematics integrate themes in fields like Stochastic modelling, Random matrix, Stochastic process, Mathematical optimization and Calculus. His Uncertainty quantification research incorporates themes from Nonparametric statistics, Dynamical systems theory, Probabilistic logic, Statistical physics and Computational mechanics.

Christian Soize interconnects Monte Carlo method and Dissipative system in the investigation of issues within Mathematical analysis. His work deals with themes such as Stochastic simulation, Probability distribution, Random function and Multivariate random variable, which intersect with Random element. His work in Random field tackles topics such as Polynomial chaos which are related to areas like Inverse problem and Random variable.

His most cited work include:

  • Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure (405 citations)
  • A nonparametric model of random uncertainties for reduced matrix models in structural dynamics (355 citations)
  • Maximum entropy approach for modeling random uncertainties in transient elastodynamics. (260 citations)

What are the main themes of his work throughout his whole career to date?

Christian Soize mainly focuses on Uncertainty quantification, Applied mathematics, Probabilistic logic, Mathematical analysis and Nonlinear system. The various areas that he examines in his Uncertainty quantification study include Nonparametric statistics, Random matrix, Parametric statistics, Mathematical optimization and Statistical model. The various areas that Christian Soize examines in his Applied mathematics study include Random variable, Multivariate random variable, Principle of maximum entropy, Stochastic process and Random field.

His Probabilistic logic research is multidisciplinary, relying on both Algorithm, Optimization problem, Computational model and Dynamical systems theory. As part of one scientific family, Christian Soize deals mainly with the area of Mathematical analysis, narrowing it down to issues related to the Finite element method, and often Discretization. His biological study spans a wide range of topics, including Vibration, Mistuning and Mechanics.

He most often published in these fields:

  • Uncertainty quantification (28.62%)
  • Applied mathematics (22.62%)
  • Probabilistic logic (22.31%)

What were the highlights of his more recent work (between 2016-2021)?

  • Probabilistic logic (22.31%)
  • Uncertainty quantification (28.62%)
  • Applied mathematics (22.62%)

In recent papers he was focusing on the following fields of study:

Christian Soize mainly investigates Probabilistic logic, Uncertainty quantification, Applied mathematics, Nonlinear system and Algorithm. He interconnects Basis, Nonparametric statistics, Mathematical optimization, Computational model and Hyperparameter in the investigation of issues within Probabilistic logic. His studies in Uncertainty quantification integrate themes in fields like Random matrix, Mathematical analysis, Control theory, Reduction and Statistical physics.

In his articles, he combines various disciplines, including Applied mathematics and Context. His Nonlinear system research is multidisciplinary, incorporating perspectives in Mistuning, Vibration, Finite element method and Mechanics, Slosh dynamics. His Algorithm research also works with subjects such as

  • Stochastic modelling, which have a strong connection to Jitter, Stochastic process, Probability density function and Inverse problem,
  • Random field most often made with reference to Gaussian.

Between 2016 and 2021, his most popular works were:

  • Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites (28 citations)
  • A nonparametric probabilistic approach for quantifying uncertainties in low-dimensional and high-dimensional nonlinear models (19 citations)
  • Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints (13 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Statistics
  • Mathematical analysis

Christian Soize spends much of his time researching Probabilistic logic, Mathematical optimization, Uncertainty quantification, Applied mathematics and Nonlinear system. The concepts of his Probabilistic logic study are interwoven with issues in Probability distribution, Diffusion map, Small data, Optimization problem and Stiefel manifold. His research integrates issues of Nonparametric statistics, Probability density function and Multivariate random variable in his study of Mathematical optimization.

His research in Uncertainty quantification intersects with topics in Reduction, Model order reduction, Algorithm, Hyperparameter and Gaussian. His Applied mathematics study incorporates themes from Basis, Random variable, Principle of maximum entropy, Random field and Eigenvalues and eigenvectors. Christian Soize has researched Nonlinear system in several fields, including Vibration, Frequency band, Finite element method and Dissipative system.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A nonparametric model of random uncertainties for reduced matrix models in structural dynamics

Christian Soize.
Probabilistic Engineering Mechanics (2000)

647 Citations

Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure

Christian Soize;Roger Ghanem.
computational science and engineering (2005)

621 Citations

Structural Acoustics and Vibration: Mechanical Models, Variational Formulations and Discretization

Christian Soize;Roger Ohayon.
(1997)

511 Citations

Maximum entropy approach for modeling random uncertainties in transient elastodynamics.

Christian Soize.
Journal of the Acoustical Society of America (2001)

417 Citations

Random matrix theory for modeling uncertainties in computational mechanics

Christian Soize.
Computer Methods in Applied Mechanics and Engineering (2005)

362 Citations

The Fokker-Planck Equation for Stochastic Dynamical Systems and Its Explicit Steady State Solutions

Christian Soize.
(1994)

326 Citations

A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics

C. Soize.
Journal of Sound and Vibration (2005)

299 Citations

Structural Acoustics and Vibration

Roger Ohayon;Christian Soize.
Journal of the Acoustical Society of America (2001)

270 Citations

A model and numerical method in the medium frequency range for vibroacoustic predictions using the theory of structural fuzzy

Christian Soize.
Journal of the Acoustical Society of America (1992)

224 Citations

Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators

Christian Soize.
Computer Methods in Applied Mechanics and Engineering (2006)

209 Citations

Best Scientists Citing Christian Soize

Roger Ghanem

Roger Ghanem

University of Southern California

Publications: 58

Bruno Sudret

Bruno Sudret

ETH Zurich

Publications: 49

Sondipon Adhikari

Sondipon Adhikari

Swansea University

Publications: 31

Pierre Ladevèze

Pierre Ladevèze

École Normale Supérieure Paris-Saclay

Publications: 21

Robin S. Langley

Robin S. Langley

University of Cambridge

Publications: 19

Dejie Yu

Dejie Yu

Hunan University

Publications: 15

Dirk Vandepitte

Dirk Vandepitte

KU Leuven

Publications: 15

Gerhart I. Schuëller

Gerhart I. Schuëller

University of Innsbruck

Publications: 15

Geert Lombaert

Geert Lombaert

KU Leuven

Publications: 13

Pol D. Spanos

Pol D. Spanos

Rice University

Publications: 11

Alain Goriely

Alain Goriely

University of Oxford

Publications: 11

Nicholas Zabaras

Nicholas Zabaras

University of Notre Dame

Publications: 9

Manolis Papadrakakis

Manolis Papadrakakis

National Technical University of Athens

Publications: 9

Michael Beer

Michael Beer

University of Liverpool

Publications: 9

Tom Dhaene

Tom Dhaene

Ghent University

Publications: 8

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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