Michelle T Bensi

Michelle T Bensi

University of Maryland, Baltimore

H-index: 13

North America-United States

About Michelle T Bensi

Michelle T Bensi, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Maryland, Baltimore, specializes in the field of Resilience, Reliability, Risk Analysis, Probabilistic Hazard Assessment.

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

Machine learning motivated data imputation of storm data used in coastal hazard assessments

Identifying human failure events for human reliability analysis: A review of gaps and research opportunities

COMPOUNDFLOODING: AMANUALOFPRACTICE

Exploring the potential of social media crowdsourcing for post-earthquake damage assessment

Bayesian-Motivated Probabilistic Model of Hurricane-Induced Multimechanism Flood Hazards

A mechanistic model of a PWR-based nuclear power plant in response to external hazard-induced station blackout accidents

Multi-unit seismic probabilistic risk assessment: A Bayesian network perspective

Expanding Vulnerability Indices for Pandemic Effects

Michelle T Bensi Information

University

Position

___

Citations(all)

776

Citations(since 2020)

486

Cited By

384

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Michelle T Bensi Skills & Research Interests

Resilience

Reliability

Risk Analysis

Probabilistic Hazard Assessment

Top articles of Michelle T Bensi

Machine learning motivated data imputation of storm data used in coastal hazard assessments

Coastal Engineering

2024/6/1

Ziyue Liu
Ziyue Liu

H-Index: 20

Michelle T Bensi
Michelle T Bensi

H-Index: 6

Identifying human failure events for human reliability analysis: A review of gaps and research opportunities

2024/1/28

COMPOUNDFLOODING: AMANUALOFPRACTICE

Authorea Preprints

2023/12/27

Exploring the potential of social media crowdsourcing for post-earthquake damage assessment

International Journal of Disaster Risk Reduction

2023/11/1

Bayesian-Motivated Probabilistic Model of Hurricane-Induced Multimechanism Flood Hazards

Journal of Waterway, Port, Coastal, and Ocean Engineering

2023/7/1

Somayeh Mohammadi
Somayeh Mohammadi

H-Index: 9

Michelle T Bensi
Michelle T Bensi

H-Index: 6

A mechanistic model of a PWR-based nuclear power plant in response to external hazard-induced station blackout accidents

Frontiers in Energy Research

2023/6/7

Multi-unit seismic probabilistic risk assessment: A Bayesian network perspective

Reliability Engineering & System Safety

2023/6/1

Expanding Vulnerability Indices for Pandemic Effects

Natural Hazards Review

2023/5/1

Drivers of uncertainty in precipitation frequency under current and future climate–application to Maryland, USA

Journal of Hydrology

2023/2/1

Assessment of Uncertainty in Scenario Development for External Hazard Probabilistic Risk Assessment for Nuclear Power Plants

2023

Assessment of Uncertainty Associated with Tropical Cyclone Forecasts to Support Probabilistic Risk Assessments for Nuclear Power Plants

2023

Identification and Prioritization of Sources of Uncertainty in External Hazard Probabilistic Risk Assessment: Project Update

2023

Application of Machine Learning to Predict the Timing and Duration of Flood Caused by Tropical Cyclones to Inform External Hazard Probabilistic Risk Assessment

2023

Short-term and long-term inundation risk insights for contaminated sites in the US

Journal of Hazardous, Toxic, and Radioactive Waste

2023/1/1

Compound flood hazard assessment using a Bayesian framework

AGU Fall Meeting Abstracts

2022/12

Commentary on Assessing the Performance of Machine/Statistical-Learning Models for Severe Natural Hazard Events

AGU Fall Meeting Abstracts

2022/12

Multi-Tier Bayesian Network Models for Coastal Compound Probabilistic Flood Hazard Analysis

AGU Fall Meeting Abstracts

2022/12

AIS-based characterization of navigation conflicts along the US Atlantic Coast prior to development of wind energy

Ocean Engineering

2022/11/15

Hydraulic compatibility of nonwoven conical filters with a backfill material

Geosynthetics International

2022/11/8

Temporal downscaling of precipitation from climate model projections using machine learning

Stochastic Environmental Research and Risk Assessment

2022/8

See List of Professors in Michelle T Bensi University(University of Maryland, Baltimore)