Daniel Roten

Daniel Roten

San Diego State University

H-index: 20

North America-United States

About Daniel Roten

Daniel Roten, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at San Diego State University, specializes in the field of Wave Propagation Simulation, Nonlinear Site Response, Rupture Dynamics, High-Performance Computing.

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

Implementation of Iwan‐type nonlinear rheology in a 3D high‐order staggered‐grid finite‐difference method

Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification

TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations

AWP-ODC: A Highly Scalable HPC Tool for Dynamic Rupture and Wave Propagation Simulations

Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction

A high‐order finite‐difference method on staggered curvilinear grids for seismic wave propagation applications with topography

Wellington basin amplification: research goals and update from the National Seismic Hazard Model Programme

Estimation of site amplification from geotechnical array data using neural networks

Daniel Roten Information

University

Position

Computational Research Seismologist

Citations(all)

2034

Citations(since 2020)

1010

Cited By

1386

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

25

i10Index(since 2020)

20

Email

University Profile Page

San Diego State University

Google Scholar

View Google Scholar Profile

Daniel Roten Skills & Research Interests

Wave Propagation Simulation

Nonlinear Site Response

Rupture Dynamics

High-Performance Computing

Top articles of Daniel Roten

Title

Journal

Author(s)

Publication Date

Implementation of Iwan‐type nonlinear rheology in a 3D high‐order staggered‐grid finite‐difference method

Bulletin of the Seismological Society of America

Daniel Roten

Te‐Yang Yeh

Kim B Olsen

Steven M Day

Yifeng Cui

2023/12/1

Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification

Ivannia Gomez Moreno

Isaac Nealey

Daniel Roten

Mai H Nguyen

Daniel Crawl

...

2023/10/9

TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations

Daniel Roten

Lucas Wells

Daniel Crawl

Russell A Parsons

Anthony Marcozzi

...

2023/10/9

AWP-ODC: A Highly Scalable HPC Tool for Dynamic Rupture and Wave Propagation Simulations

Kim Olsen

Daniel Roten

Te-Yang Yeh

Ke Xu

Yifeng Cui

2023/3/16

Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction

Daniel Roten

Jessica Block

Daniel Crawl

Jenny Lee

Ilkay Altintas

2022/12/17

A high‐order finite‐difference method on staggered curvilinear grids for seismic wave propagation applications with topography

Bulletin of the Seismological Society of America

Ossian O’Reilly

Te‐Yang Yeh

Kim B Olsen

Zhifeng Hu

Alex Breuer

...

2022/2/1

Wellington basin amplification: research goals and update from the National Seismic Hazard Model Programme

Anna Kaiser

Matt Hill

Liam Wotherspoon

Brendon Bradley

Robin Lee

...

2021/4/14

Estimation of site amplification from geotechnical array data using neural networks

Bulletin of the Seismological Society of America

Daniel Roten

Kim B Olsen

2021/8/1

Modeling of empirical transfer functions with 3D velocity structure

Bulletin of the Seismological Society of America

Zhifeng Hu

Daniel Roten

Kim B Olsen

Steven M Day

2021/8/1

DEEP LEARNING BASED TRAFFIC FORECASTING IN THE COVID

Aparna Gupta

Kevin Lane

Raul Martinez

Daniel Roten

Akash Shah

2021/6/11

Deep Learning for Site Response Estimation from Geotechnical Array Data

AGU Fall Meeting 2020

Daniel Roten

Kim Bak Olsen

2020/12/15

Numerical simulation of M9 megathrust earthquakes in the Cascadia subduction zone

Pure and Applied Geophysics

D Roten

KB Olsen

R Takedatsu

2020/5

See List of Professors in Daniel Roten University(San Diego State University)