D-Index & Metrics Best Publications

Fabio Nobile

École Polytechnique Fédérale de Lausanne
Switzerland

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Mathematics D-index 43 Citations 13,278 217 World Ranking 1124 National Ranking 23

Engineering and Technology D-index 43 Citations 13,241 218 World Ranking 2870 National Ranking 45

Overview

What is he best known for?

The fields of study Fabio Nobile is best known for:

Statistics
Numerical analysis
Finite element method

His study explores the link between Coupling (piping) and topics such as Mechanical engineering that cross with problems in Work (physics). His study brings together the fields of Mechanical engineering and Work (physics). His studies link Sparse grid with Applied mathematics. As part of his studies on Mathematical analysis, Fabio Nobile frequently links adjacent subjects like Generalization. His study on Generalization is mostly dedicated to connecting different topics, such as Mathematical analysis. Fabio Nobile applies his multidisciplinary studies on Finite element method and Galerkin method in his research. In his works, he conducts interdisciplinary research on Galerkin method and Finite element method. Mechanics and Classical mechanics are two areas of study in which he engages in interdisciplinary research. While working on this project, he studies both Classical mechanics and Mechanics.

His most cited work include:

A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (1122 citations)
Added-mass effect in the design of partitioned algorithms for fluid–structure problems (659 citations)
On the coupling of 3D and 1D Navier–Stokes equations for flow problems in compliant vessels (497 citations)

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

In his research on the topic of Fluid–structure interaction, Thermodynamics is strongly related with Finite element method. His research on Thermodynamics frequently connects to adjacent areas such as Finite element method. His Mathematical analysis study frequently draws connections to other fields, such as Partial differential equation, Discretization and Polynomial. His study deals with a combination of Discretization and Algorithm. His study deals with a combination of Algorithm and Mathematical optimization. In his works, Fabio Nobile performs multidisciplinary study on Mathematical optimization and Machine learning. His Collocation (remote sensing) research extends to the thematically linked field of Machine learning. Fabio Nobile links relevant research areas such as Monte Carlo method, Estimator and Random variable in the realm of Statistics. Fabio Nobile undertakes multidisciplinary investigations into Estimator and Statistics in his work.

Fabio Nobile most often published in these fields:

Applied mathematics (82.43%)
Mathematical analysis (67.57%)
Statistics (45.95%)

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 Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

Ivo Babus caron;ka;Fabio Nobile;Rau´l Tempone.
SIAM Journal on Numerical Analysis (2007)

1711 Citations

A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

Ivo Babuška;Fabio Nobile;Raúl Tempone.
Siam Review (2010)

1655 Citations

A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

F. Nobile;R. Tempone;C. G. Webster.
SIAM Journal on Numerical Analysis (2008)

1228 Citations

Added-mass effect in the design of partitioned algorithms for fluid-structure problems

Paola Causin;Jean-Frédéric Gerbeau;Fabio Nobile.
Computer Methods in Applied Mechanics and Engineering (2005)

1121 Citations

On the coupling of 3D and 1D Navier-Stokes equations for flow problems in compliant vessels

Luca Formaggia;Jean Frédéric Gerbeau;Fabio Nobile;Alfio Quarteroni;Alfio Quarteroni.
Computer Methods in Applied Mechanics and Engineering (2001)

762 Citations

An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

F. Nobile;R. Tempone;C. G. Webster.
SIAM Journal on Numerical Analysis (2008)

669 Citations

Numerical approximation of fluid-structure interaction problems with application to haemodynamics

Fabio Nobile.
(2001)

420 Citations

Numerical Treatment of Defective Boundary Conditions for the Navier--Stokes Equations

L. Formaggia;J.-F. Gerbeau;F. Nobile;A. Quarteroni.
SIAM Journal on Numerical Analysis (2002)

391 Citations

Multiscale Modelling of the Circulatory System: a Preliminary Analysis

Luca Formaggia;Fabio Nobile;Alfio Quarteroni;Alessandro Veneziani.
Computing and Visualization in Science (1999)

384 Citations

Fluid-structure partitioned procedures based on Robin transmission conditions

Santiago Badia;Fabio Nobile;Christian Vergara.
Journal of Computational Physics (2008)

350 Citations

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Frequent Co-Authors

External Links

Personal Website for Fabio Nobile