Michelle Bensi

952 total citations
46 papers, 602 citations indexed

About

Michelle Bensi is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Global and Planetary Change. According to data from OpenAlex, Michelle Bensi has authored 46 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 13 papers in Statistics, Probability and Uncertainty and 12 papers in Global and Planetary Change. Recurrent topics in Michelle Bensi's work include Risk and Safety Analysis (12 papers), Flood Risk Assessment and Management (8 papers) and Infrastructure Resilience and Vulnerability Analysis (7 papers). Michelle Bensi is often cited by papers focused on Risk and Safety Analysis (12 papers), Flood Risk Assessment and Management (8 papers) and Infrastructure Resilience and Vulnerability Analysis (7 papers). Michelle Bensi collaborates with scholars based in United States, Germany and China. Michelle Bensi's co-authors include Dániel Straub, Armen Der Kiureghian, Mohammad Modarres, Lingyao Li, Gregory B. Baecher, Jennifer L. Irish, You Huang, Qingbin Cui, Katrina M. Groth and Kaye L. Brubaker and has published in prestigious journals such as Journal of Hydrology, International Journal of Information Management and Applied Soft Computing.

In The Last Decade

Michelle Bensi

43 papers receiving 576 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michelle Bensi United States 13 210 167 121 120 90 46 602
Andrea Staid United States 14 134 0.6× 29 0.2× 98 0.8× 111 0.9× 66 0.7× 26 669
Vipin U. Unnikrishnan United States 8 435 2.1× 104 0.6× 122 1.0× 87 0.7× 19 0.2× 11 588
Abdullahi M. Salman United States 20 758 3.6× 126 0.8× 142 1.2× 194 1.6× 29 0.3× 39 1.2k
Mohsen Ghafory‐Ashtiany Iran 24 1.0k 5.0× 86 0.5× 49 0.4× 74 0.6× 89 1.0× 87 1.7k
David Beaudoin Canada 8 35 0.2× 74 0.4× 103 0.9× 420 3.5× 78 0.9× 11 1.2k
Mehdi Zaré Iran 18 748 3.6× 30 0.2× 63 0.5× 60 0.5× 206 2.3× 99 1.4k
David Lallemant Singapore 15 565 2.7× 100 0.6× 115 1.0× 231 1.9× 48 0.5× 51 954
Eun Jeong United States 14 276 1.3× 127 0.8× 160 1.3× 167 1.4× 4 0.0× 57 643
Xiaoping Sun China 16 115 0.5× 43 0.3× 26 0.2× 43 0.4× 153 1.7× 66 765
Himmet Karaman Türkiye 13 112 0.5× 22 0.1× 30 0.2× 99 0.8× 62 0.7× 39 558

Countries citing papers authored by Michelle Bensi

Since Specialization
Citations

This map shows the geographic impact of Michelle Bensi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michelle Bensi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Bensi more than expected).

Fields of papers citing papers by Michelle Bensi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Bensi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michelle Bensi. The network helps show where Michelle Bensi may publish in the future.

Co-authorship network of co-authors of Michelle Bensi

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Bensi. A scholar is included among the top collaborators of Michelle Bensi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle Bensi. Michelle Bensi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bensi, Michelle, et al.. (2025). A Monte Carlo augmented Bayesian network approach for external flood PRAs. Nuclear Engineering and Design. 433. 113840–113840.
2.
Nadal-Caraballo, Norberto C., et al.. (2024). Machine learning motivated data imputation of storm data used in coastal hazard assessments. Coastal Engineering. 190. 104505–104505. 1 indexed citations
3.
Al‐Douri, Ahmad, et al.. (2024). Identifying human failure events for human reliability analysis: A review of gaps and research opportunities. Reliability Engineering & System Safety. 245. 109967–109967. 9 indexed citations
4.
Ma, Zihui, Lingyao Li, Yujie Mao, et al.. (2024). Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters. Natural Hazards Review. 25(4). 1 indexed citations
5.
Cao, Siqi, Michelle Bensi, Allen P. Davis, & Birthe V. Kjellerup. (2023). Polychlorinated Biphenyls (PCBs) in Dissolved and Particulate Phases of Urban Stormwater before and after Bioretention Treatment. ACS ES&T Water. 3(10). 3235–3243. 5 indexed citations
6.
Li, Lingyao, Michelle Bensi, & Gregory B. Baecher. (2023). Exploring the potential of social media crowdsourcing for post-earthquake damage assessment. International Journal of Disaster Risk Reduction. 98. 104062–104062. 14 indexed citations
7.
8.
Bensi, Michelle, et al.. (2023). A mechanistic model of a PWR-based nuclear power plant in response to external hazard-induced station blackout accidents. Frontiers in Energy Research. 11. 2 indexed citations
9.
Bensi, Michelle, et al.. (2023). Multi-unit seismic probabilistic risk assessment: A Bayesian network perspective. Reliability Engineering & System Safety. 234. 109169–109169. 20 indexed citations
10.
Li, Lingyao, Zihui Ma, Michelle Bensi, & Gregory B. Baecher. (2023). Social Media Crowdsourcing for Earthquake Damage Assessment. 161–170. 1 indexed citations
11.
Li, Lingyao, Jiayan Zhou, Zihui Ma, et al.. (2022). Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data. Journal of Biomedical Informatics. 129. 104054–104054. 13 indexed citations
12.
Bensi, Michelle, et al.. (2021). Spatial correlation in ground motion prediction errors in Central and Eastern North America. Earthquake Spectra. 38(1). 543–578.
13.
Schmerr, N. C., et al.. (2020). Constructing a Preliminary Probabilistic Seismic Hazard Analysis for the Moon. LPI. 3064. 1 indexed citations
14.
Bensi, Michelle, et al.. (2020). Application of surrogate models in estimation of storm surge:A comparative assessment. Applied Soft Computing. 91. 106184–106184. 46 indexed citations
15.
Baecher, Gregory B., et al.. (2019). Resiliently Engineered Flood and Hurricane Infrastructure: Principles to Guide the Next Generation of Engineers. 49(2). 2 indexed citations
16.
Bensi, Michelle & John F. England. (2018). Combining Streamflow and Rainfall-Runoff Hydrologic Hazard Estimates for Dam Safety: Data, Physics and Uncertainty. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
17.
Bensi, Michelle, Armen Der Kiureghian, & Dániel Straub. (2015). Framework for Post-Earthquake Risk Assessment and Decision Making for Infrastructure Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 1(1). 36 indexed citations
18.
Bensi, Michelle, Armen Der Kiureghian, & Dániel Straub. (2012). Efficient Bayesian network modeling of systems. Reliability Engineering & System Safety. 112. 200–213. 93 indexed citations
19.
Bensi, Michelle, Armen Der Kiureghian, & Dániel Straub. (2009). A Bayesian Network Framework for Post-Earthquake Infrastructure System Performance Assessment. 1–12. 15 indexed citations
20.
Bensi, Michelle, Baidurya Bhattacharya, & Michael J. Chajes. (2005). Evaluating the Risk of a Terrorist Attack on a Cable-Stayed Bridge: A Probabilistic, Structural Analysis Based Approach. WIT transactions on the built environment. 82. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Andrea Staid Breakdown of academic impact, for papers by Vipin U. Unnikrishnan Breakdown of academic impact, for papers by Abdullahi M. Salman Breakdown of academic impact, for papers by Mohsen Ghafory‐Ashtiany Breakdown of academic impact, for papers by David Beaudoin Breakdown of academic impact, for papers by Mehdi Zaré Breakdown of academic impact, for papers by David Lallemant Breakdown of academic impact, for papers by Eun Jeong Breakdown of academic impact, for papers by Xiaoping Sun Breakdown of academic impact, for papers by Himmet Karaman
Rankless by CCL
2026