Carlton L. Ho

Carlton L. Ho

University of Massachusetts Amherst

H-index: 18

North America-United States

About Carlton L. Ho

Carlton L. Ho, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Geotechnical Engineering, Railroad Engineering, Railroad Geo-technology, Earthquake Engineering, Engineering Geology.

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

Data-driven track geometry fault localisation using unsupervised machine learning

Stochastic analysis for estimating track geometry degradation rates based on GPR and LiDAR data

Rail Track Monitoring Using AI and Machine Learning

Data-driven methods to predict track degradation: A case study

Impact of climate change on railway construction, maintenance and safety in the United Kingdom

Measuring railroad ballast modulus of elasticity using light weight deflectometer

Repeatability of Minimum and Maximum Density Testing on Clean and Fouled Ballast

Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks

Carlton L. Ho Information

University

Position

Associate Professor of Civil and Environmental Engineering

Citations(all)

2094

Citations(since 2020)

817

Cited By

1679

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

31

i10Index(since 2020)

16

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

Carlton L. Ho Skills & Research Interests

Geotechnical Engineering

Railroad Engineering

Railroad Geo-technology

Earthquake Engineering

Engineering Geology

Top articles of Carlton L. Ho

Title

Journal

Author(s)

Publication Date

Data-driven track geometry fault localisation using unsupervised machine learning

Construction and Building Materials

K Popov

R De Bold

H-K Chai

MC Forde

CL Ho

...

2023/5/9

Stochastic analysis for estimating track geometry degradation rates based on GPR and LiDAR data

Construction and Building Materials

Saeed Goodarzi

Hamed F Kashani

Anahita Saeedi

Jimi Oke

Carlton L Ho

2023/3/10

Rail Track Monitoring Using AI and Machine Learning

Konstantin Popov

Robert DeBold

Hwa-Kian Chai

Michael C Forde

Carlton L Ho

...

2022/9/7

Data-driven methods to predict track degradation: A case study

Construction and Building Materials

Saeed Goodarzi

Hamed F Kashani

Jimi Oke

Carlton L Ho

2022/8/15

Impact of climate change on railway construction, maintenance and safety in the United Kingdom

Nicholas DeVinne

Robert DeBold

Michael C Forde

Carlton L Ho

2022/7/7

Measuring railroad ballast modulus of elasticity using light weight deflectometer

Emily Katherine Akey

Mariel W Jones

Carlton L Ho

Aaron J Rubin

2022

Repeatability of Minimum and Maximum Density Testing on Clean and Fouled Ballast

MW Jones

EK Akey

CL Ho

AJ Rubin

2022

Big-data driven assessment of railway track and maintenance efficiency using Artificial Neural Networks

Construction and Building Materials

K Popov

R De Bold

H-K Chai

MC Forde

CL Ho

...

2022/9/26

Using large datasets for finding the correlation between the rate of track settlement and changes in geometry indices

Transportation Geotechnics

Saeed Goodarzi

Hamed F Kashani

Steven Chrismer

Carlton L Ho

2021/11/1

Soil thermal conductivity estimated using a semi-analytical approach

Geothermics

AJ Rubin

CL Ho

2021/5/1

Differential settlement prediction of ballasted tracks in bridge–embankment transition zones

Journal of Geotechnical and Geoenvironmental Engineering

Yao Shan

Shunhua Zhou

Binglong Wang

Carlton L Ho

2020/9/1

Effects of natural abrasion on railroad ballast strength and deformation properties

Construction and Building Materials

Andrew K Rohrman

Hamed F Kashani

Carlton L Ho

2020/6/30

Laboratory Study of the Failure Characteristics of Fouled Ballast: Phase II

Andrew K Rohrman

Carlton L Ho

Hamed F Kashani

James P Hyslip

2020/2/1

See List of Professors in Carlton L. Ho University(University of Massachusetts Amherst)