D-Index & Metrics Best Publications
Mechanical and Aerospace Engineering
USA
2022

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
Mechanical and Aerospace Engineering D-index 101 Citations 62,192 310 World Ranking 9 National Ranking 7
Physics D-index 101 Citations 62,836 275 World Ranking 1023 National Ranking 536

Research.com Recognitions

Awards & Achievements

2022 - Research.com Mechanical and Aerospace Engineering in United States Leader Award

2011 - Member of the National Academy of Sciences

2010 - Fellow of the American Academy of Arts and Sciences

1997 - Member of the National Academy of Engineering For the development of direct numerical simulation for understanding turbulent flows.

1996 - Fluid Dynamics Prize, American Physical Society (APS)

1992 - Fellow of American Physical Society (APS) Citation For contributions to the development and use of direct numerical simulations and largeeddy simulations for studying the physics of turbulent flows

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanics
  • Turbulence
  • Fluid dynamics

The scientist’s investigation covers issues in Mechanics, Turbulence, Classical mechanics, Large eddy simulation and Direct numerical simulation. His Mechanics study focuses mostly on Reynolds number, Boundary layer, Turbulence modeling, Vorticity and K-epsilon turbulence model. His research integrates issues of Computational fluid dynamics and Statistical physics in his study of Turbulence.

The study incorporates disciplines such as Drag, Vortex, Mach number and Nonlinear system in addition to Classical mechanics. His work deals with themes such as Numerical analysis, Mathematical analysis, Complex geometry, Combustor and Computer simulation, which intersect with Large eddy simulation. The Direct numerical simulation study combines topics in areas such as Prandtl number, Turbulence kinetic energy and Shear stress.

His most cited work include:

  • A dynamic subgrid‐scale eddy viscosity model (5317 citations)
  • Turbulence statistics in fully developed channel flow at low reynolds number (3807 citations)
  • Application of a Fractional-Step Method to Incompressible Navier-Stokes Equations (2422 citations)

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

Parviz Moin focuses on Mechanics, Turbulence, Large eddy simulation, Classical mechanics and Reynolds number. Boundary layer, Vortex, Turbulence modeling, Flow separation and Vorticity are among the areas of Mechanics where the researcher is concentrating his efforts. His research combines Laminar flow and Boundary layer.

His study in Turbulence focuses on Direct numerical simulation, Open-channel flow, Turbulence kinetic energy, K-epsilon turbulence model and Reynolds stress. He focuses mostly in the field of Large eddy simulation, narrowing it down to topics relating to Statistical physics and, in certain cases, Computer simulation. His Classical mechanics study integrates concerns from other disciplines, such as Drag, Pipe flow, Mach number and Shear stress.

He most often published in these fields:

  • Mechanics (65.16%)
  • Turbulence (51.93%)
  • Large eddy simulation (27.64%)

What were the highlights of his more recent work (between 2014-2021)?

  • Mechanics (65.16%)
  • Turbulence (51.93%)
  • Large eddy simulation (27.64%)

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

Parviz Moin mainly investigates Mechanics, Turbulence, Large eddy simulation, Boundary layer and Reynolds number. His Mechanics research is multidisciplinary, incorporating elements of Boundary and Boundary value problem. His Turbulence research includes themes of Scale model, Breaking wave, Laminar flow and Dissipation.

Parviz Moin has researched Large eddy simulation in several fields, including Marine engineering, Bounded function, Open-channel flow and Shear stress. His Reynolds number research is multidisciplinary, relying on both Instability, Turbulence modeling and Pressure gradient. His work carried out in the field of Direct numerical simulation brings together such families of science as Reynolds stress and Turbulence kinetic energy.

Between 2014 and 2021, his most popular works were:

  • Minimum-dissipation models for large-eddy simulation (70 citations)
  • Transitional–turbulent spots and turbulent–turbulent spots in boundary layers (65 citations)
  • Log-layer mismatch and modeling of the fluctuating wall stress in wall-modeled large-eddy simulations. (57 citations)

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

  • Mechanics
  • Turbulence
  • Fluid dynamics

Parviz Moin spends much of his time researching Mechanics, Turbulence, Large eddy simulation, Reynolds number and Boundary value problem. His research in Mechanics focuses on subjects like Scale model, which are connected to Vector field. His Turbulence study combines topics in areas such as Isotropy, Breaking wave and Grid.

His Large eddy simulation research is multidisciplinary, incorporating perspectives in Shear stress, Open-channel flow, Eddy diffusion and Dissipation. Reynolds stress, Displacement, Blasius boundary layer, Parameter space and Lift is closely connected to Pressure gradient in his research, which is encompassed under the umbrella topic of Reynolds number. His studies in Boundary value problem integrate themes in fields like Reynolds-averaged Navier–Stokes equations and Airfoil.

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 dynamic subgrid‐scale eddy viscosity model

Massimo Germano;Ugo Piomelli;Parviz Moin;William H. Cabot.
Physics of Fluids (1991)

7968 Citations

Turbulence statistics in fully developed channel flow at low reynolds number

John Kim;Parviz Moin;Robert D Moser.
Journal of Fluid Mechanics (1987)

5575 Citations

Application of a Fractional-Step Method to Incompressible Navier-Stokes Equations

J Kim;P Moin.
Journal of Computational Physics (1985)

3614 Citations

Application of a fractional-step method to incompressible Navier-Stokes equation

J. Kim;P. Moin.
(1984)

3579 Citations

Eddies, streams, and convergence zones in turbulent flows

J. C. R. Hunt;A. A. Wray;Parviz Moin.
Studying Turbulence Using Numerical Simulation Databases, 2 (1988)

3335 Citations

DIRECT NUMERICAL SIMULATION: A Tool in Turbulence Research

Parviz Moin;Krishnan Mahesh.
Annual Review of Fluid Mechanics (1998)

1730 Citations

A dynamic subgrid‐scale model for compressible turbulence and scalar transport

P. Moin;K. Squires;W. Cabot;S. Lee.
Physics of Fluids (1991)

1694 Citations

Numerical investigation of turbulent channel flow

Parviz Moin;John Kim.
Journal of Fluid Mechanics (1982)

1582 Citations

Direct numerical simulation of turbulent flow over a backward-facing step

Hung Le;Parviz Moin.
arb (1993)

1373 Citations

Direct numerical simulation of turbulent flow over a backward-facing step

Hung Le;Parviz Moin;John Kim.
Journal of Fluid Mechanics (1997)

1371 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Parviz Moin

Sanjiva K. Lele

Sanjiva K. Lele

Stanford University

Publications: 142

Charles Meneveau

Charles Meneveau

Johns Hopkins University

Publications: 133

Wolfgang Schröder

Wolfgang Schröder

RWTH Aachen University

Publications: 114

Bernardus J. Geurts

Bernardus J. Geurts

University of Twente

Publications: 113

Pierre Sagaut

Pierre Sagaut

Aix-Marseille University

Publications: 113

Ugo Piomelli

Ugo Piomelli

Queen's University

Publications: 108

Heinz Pitsch

Heinz Pitsch

RWTH Aachen University

Publications: 106

Javier Jiménez

Javier Jiménez

Technical University of Madrid

Publications: 101

Hyung Jin Sung

Hyung Jin Sung

Korea Advanced Institute of Science and Technology

Publications: 96

Matthias Ihme

Matthias Ihme

Stanford University

Publications: 96

R. A. Antonia

R. A. Antonia

University of Newcastle Australia

Publications: 92

Fotis Sotiropoulos

Fotis Sotiropoulos

Virginia Commonwealth University

Publications: 92

Philipp Schlatter

Philipp Schlatter

Royal Institute of Technology

Publications: 88

Johannes Janicka

Johannes Janicka

TU Darmstadt

Publications: 87

Thierry Poinsot

Thierry Poinsot

Institute of Fluid Mechanics of Toulouse

Publications: 83

John Kim

John Kim

University of California, Los Angeles

Publications: 80

Trending Scientists

Michael W. Marcellin

Michael W. Marcellin

University of Arizona

Christopher K. R. T. Jones

Christopher K. R. T. Jones

University of North Carolina at Chapel Hill

Andrew Granville

Andrew Granville

University of Montreal

Elaine Cohen

Elaine Cohen

University of Utah

Eiyad Abu-Nada

Eiyad Abu-Nada

Khalifa University of Science and Technology

Martin I. Reiman

Martin I. Reiman

Columbia University

Susan L Handy

Susan L Handy

University of California, Davis

Philippe Rocca-Serra

Philippe Rocca-Serra

University of Oxford

Marek Sierka

Marek Sierka

Friedrich Schiller University Jena

W. David Wilson

W. David Wilson

Georgia State University

Mads C. Forchhammer

Mads C. Forchhammer

University of Copenhagen

Ronald J. Moore

Ronald J. Moore

Pacific Northwest National Laboratory

Jan M. van Deursen

Jan M. van Deursen

Mayo Clinic

Lynn A. Staeheli

Lynn A. Staeheli

Durham University

Peter C. Boxall

Peter C. Boxall

University of Alberta

Robert L. Ohsfeldt

Robert L. Ohsfeldt

Texas A&M University

Something went wrong. Please try again later.