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- Gianluca Iaccarino

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
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Citations
Publications
World Ranking
National Ranking

Mechanical and Aerospace Engineering
D-index
36
Citations
9,410
169
World Ranking
716
National Ranking
313

- Statistics
- Thermodynamics
- Mathematical analysis

His primary areas of investigation include Mechanics, Uncertainty quantification, Reynolds-averaged Navier–Stokes equations, Turbulence and Classical mechanics. Mechanics is often connected to Immersed boundary method in his work. As part of one scientific family, he deals mainly with the area of Uncertainty quantification, narrowing it down to issues related to the Applied mathematics, and often Curse of dimensionality, Mathematical optimization, Roe solver and Propagation of uncertainty.

His Reynolds-averaged Navier–Stokes equations research includes elements of Flow and Heat flux. In his research, Conservation of mass and Wall pressure is intimately related to Computation, which falls under the overarching field of Turbulence. His work deals with themes such as Transonic, Large eddy simulation, Flow separation, Navier–Stokes equations and Monte Carlo method, which intersect with Classical mechanics.

- IMMERSED BOUNDARY METHODS (2299 citations)
- Turbulence Modeling in the Age of Data (336 citations)
- Immersed boundary technique for turbulent flow simulations (291 citations)

His primary areas of study are Mechanics, Turbulence, Uncertainty quantification, Reynolds-averaged Navier–Stokes equations and Applied mathematics. His work on Mechanics is being expanded to include thematically relevant topics such as Classical mechanics. His research combines Radiation and Turbulence.

His study in Uncertainty quantification is interdisciplinary in nature, drawing from both Mathematical optimization and Mathematical analysis. His research integrates issues of Discretization and Propagation of uncertainty in his study of Mathematical optimization. Reynolds-averaged Navier–Stokes equations is a subfield of Computational fluid dynamics that Gianluca Iaccarino studies.

- Mechanics (42.44%)
- Turbulence (27.78%)
- Uncertainty quantification (18.89%)

- Turbulence (27.78%)
- Uncertainty quantification (18.89%)
- Mechanics (42.44%)

Gianluca Iaccarino mostly deals with Turbulence, Uncertainty quantification, Mechanics, Reynolds-averaged Navier–Stokes equations and Mathematical optimization. His Turbulence research is multidisciplinary, relying on both Flow and Eigenvalues and eigenvectors. The various areas that Gianluca Iaccarino examines in his Uncertainty quantification study include Closure, Large eddy simulation, Bayesian inference, Applied mathematics and Cauchy stress tensor.

He combines subjects such as Volume fraction, Inlet and Thermal radiation with his study of Mechanics. His work focuses on many connections between Reynolds-averaged Navier–Stokes equations and other disciplines, such as Industrial engineering, that overlap with his field of interest in Range, Benchmark and Computational fluid dynamics. The Mathematical optimization study combines topics in areas such as Sampling, Small number, Monte Carlo method and Engineering design process.

- Turbulence Modeling in the Age of Data (336 citations)
- A Framework for Characterizing Structural Uncertainty in Large-Eddy Simulation Closures (31 citations)
- Immersed-finite-element method for deformable particle suspensions in viscous and viscoelastic media (22 citations)

- Statistics
- Thermodynamics
- Mathematical analysis

The scientist’s investigation covers issues in Turbulence, Uncertainty quantification, Mechanics, Reynolds-averaged Navier–Stokes equations and Turbulence modeling. His research in Turbulence intersects with topics in Flow, Mathematical optimization and Aerospace. His Uncertainty quantification research is multidisciplinary, incorporating elements of Large eddy simulation, Cauchy stress tensor and Applied mathematics.

His biological study spans a wide range of topics, including Volume fraction and Thermal radiation. As a part of the same scientific study, he usually deals with the Reynolds-averaged Navier–Stokes equations, concentrating on Reynolds stress and frequently concerns with Eigenvalues and eigenvectors. His studies examine the connections between Turbulence modeling and genetics, as well as such issues in Bounding overwatch, with regards to Industrial engineering and Machine learning.

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.

IMMERSED BOUNDARY METHODS

Rajat Mittal;Gianluca Iaccarino.

Annual Review of Fluid Mechanics **(2005)**

3391 Citations

Immersed boundary technique for turbulent flow simulations

Gianluca Iaccarino;Roberto Verzicco.

Applied Mechanics Reviews **(2003)**

426 Citations

Numerical simulation of the flow around a circular cylinder at high Reynolds numbers

Pietro Catalano;Meng Wang;Gianluca Iaccarino;Parviz Moin.

International Journal of Heat and Fluid Flow **(2003)**

424 Citations

Near-wall behavior of RANS turbulence models and implications for wall functions

Georgi Kalitzin;Gorazd Medic;Gianluca Iaccarino;Paul Durbin.

Journal of Computational Physics **(2005)**

407 Citations

Turbulence Modeling in the Age of Data

Karthik Duraisamy;Gianluca Iaccarino;Heng Xiao.

Annual Review of Fluid Mechanics **(2019)**

347 Citations

Reynolds averaged simulation of unsteady separated flow

G. Iaccarino;A. Ooi;P.A. Durbin;M. Behnia.

International Journal of Heat and Fluid Flow **(2003)**

329 Citations

Predictions of a turbulent separated flow using commercial CFD codes

Gianluca Iaccarino.

Journal of Fluids Engineering-transactions of The Asme **(2001)**

239 Citations

An immersed boundary method for compressible flows using local grid refinement

M. D. de Tullio;P. De Palma;G. Iaccarino;G. Pascazio.

Journal of Computational Physics **(2007)**

195 Citations

Large-Eddy Simulation of Reacting Turbulent Flows in Complex Geometries

Krishnan Mahesh;G. Constantinescu;S. Apte;G. Iaccarino.

Journal of Applied Mechanics **(2006)**

189 Citations

Reynolds averaged simulation of flow and heat transfer in ribbed ducts

A. Ooi;G. Iaccarino;P.A. Durbin;M. Behnia.

International Journal of Heat and Fluid Flow **(2002)**

180 Citations

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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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