Kristen Matsuno

Kristen Matsuno

Stanford University

H-index: 6

North America-United States

About Kristen Matsuno

Kristen Matsuno, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Stanford University, specializes in the field of turbulence, compressible flow, CFD, mixing, shear.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards adaptive high-order simulations of multiphase compressible turbulent flows at exa-scale

Compact Finite Difference based Framework for Large Scale Simulations of Compressible Turbulent Flows

Enhancement of Applied Aerodynamics Simulations Using Adaptive Mesh Refinement

Scalable parallel linear solver for compact banded systems on heterogeneous architectures

Compressibility, Curvature and Variable Density Effects on Turbulent Shear Layers

Compressibility Variable Density and Curvature Effects on Turbulent Shear Layers

Robust high-resolution simulations of compressible turbulent flows without filtering

Curvature, Variable Density and Compressibility Effects in Turbulent Shear Layers

Kristen Matsuno Information

University

Position

___

Citations(all)

209

Citations(since 2020)

194

Cited By

96

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Kristen Matsuno Skills & Research Interests

turbulence

compressible flow

CFD

mixing

shear

Top articles of Kristen Matsuno

Towards adaptive high-order simulations of multiphase compressible turbulent flows at exa-scale

APS March Meeting Abstracts

2023

Compact Finite Difference based Framework for Large Scale Simulations of Compressible Turbulent Flows

Bulletin of the American Physical Society

2022/11/21

Enhancement of Applied Aerodynamics Simulations Using Adaptive Mesh Refinement

2022/11/1

Scalable parallel linear solver for compact banded systems on heterogeneous architectures

Journal of Computational Physics

2022/11/1

Compressibility, Curvature and Variable Density Effects on Turbulent Shear Layers

2022/1/3

Compressibility Variable Density and Curvature Effects on Turbulent Shear Layers

2022

Robust high-resolution simulations of compressible turbulent flows without filtering

2022

Curvature, Variable Density and Compressibility Effects in Turbulent Shear Layers

2022

Kristen Matsuno
Kristen Matsuno

H-Index: 3

Computational Modeling of Mars Retropropulsion Concepts in the Langley Unitary Plan Wind Tunnel

2022

OVERFLOW Analysis of Supersonic Retropropulsion Testing on the CobraMRV Mars Entry Vehicle Concept

2022

Kristen Matsuno
Kristen Matsuno

H-Index: 3

CFD Validation and Replication of Turbulent, Compressible Shear Layer Data

Bulletin of the American Physical Society

2021/1/24

Variable Density Mixing in Compressible Turbulent Shear Layers

2021

Kristen Matsuno
Kristen Matsuno

H-Index: 3

Internal regulation in compressible turbulent shear layers

Journal of Fluid Mechanics

2021/1

Kristen Matsuno
Kristen Matsuno

H-Index: 3

Compressibility effects in high speed turbulent shear layers–revisited

2020

Kristen Matsuno
Kristen Matsuno

H-Index: 3

See List of Professors in Kristen Matsuno University(Stanford University)