Michelle Bensi
About
In The Last Decade
Michelle Bensi
43 papers receiving 576 citations
Peers
Comparison fields: 5 of 90
- Civil and Structural Engineering 210
- Statistics, Probability and Uncertainty 167
- Atmospheric Science 121
- Global and Planetary Change 120
- Artificial Intelligence 90
Countries citing papers authored by Michelle Bensi
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
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | A Monte Carlo augmented Bayesian network approach for external flood PRAs | Nuclear Engineering and Design | Michelle Bensi, Mohammad Modarres et al. | 0 |
| 2 | Machine learning motivated data imputation of storm data used in coastal hazard assessments | Coastal Engineering | Norberto C. Nadal-Caraballo, Alexandros A. Taflanidis et al. | 1 |
| 3 | Identifying human failure events for human reliability analysis: A review of gaps and research opportunities | Reliability Engineering & System Safety | Ahmad Al‐Douri, Michelle Bensi et al. | 9 |
| 4 | Surveying the Use of Social Media Data and Natural Language Processing Techniques to Investigate Natural Disasters | Natural Hazards Review | Zihui Ma, Lingyao Li et al. | 1 |
| 5 | Polychlorinated Biphenyls (PCBs) in Dissolved and Particulate Phases of Urban Stormwater before and after Bioretention Treatment | ACS ES&T Water | Siqi Cao, Michelle Bensi et al. | 5 |
| 6 | Exploring the potential of social media crowdsourcing for post-earthquake damage assessment | International Journal of Disaster Risk Reduction | Lingyao Li, Michelle Bensi et al. | 14 |
| 7 | Proposed Framework to Assess the Influence of Ground Motion Residual Correlation on the Joint Seismic Hazard | Michelle Bensi et al. | 0 | |
| 8 | A mechanistic model of a PWR-based nuclear power plant in response to external hazard-induced station blackout accidents | Frontiers in Energy Research | Michelle Bensi et al. | 2 |
| 9 | Multi-unit seismic probabilistic risk assessment: A Bayesian network perspective | Reliability Engineering & System Safety | Michelle Bensi, Mohammad Modarres et al. | 20 |
| 10 | Social Media Crowdsourcing for Earthquake Damage Assessment | Lingyao Li, Zihui Ma et al. | 1 | |
| 11 | Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data | Journal of Biomedical Informatics | Lingyao Li, Jiayan Zhou et al. | 13 |
| 12 | Spatial correlation in ground motion prediction errors in Central and Eastern North America | Earthquake Spectra | Michelle Bensi et al. | 0 |
| 13 | Constructing a Preliminary Probabilistic Seismic Hazard Analysis for the Moon | LPI | N. C. Schmerr, T. R. Watters et al. | 1 |
| 14 | Application of surrogate models in estimation of storm surge:A comparative assessment | Applied Soft Computing | Michelle Bensi et al. | 46 |
| 15 | Resiliently Engineered Flood and Hurricane Infrastructure: Principles to Guide the Next Generation of Engineers | Gregory B. Baecher, Michelle Bensi et al. | 2 | |
| 16 | Combining Streamflow and Rainfall-Runoff Hydrologic Hazard Estimates for Dam Safety: Data, Physics and Uncertainty | AGU Fall Meeting Abstracts | Michelle Bensi, John F. England | 1 |
| 17 | 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 | Michelle Bensi, Armen Der Kiureghian et al. | 36 |
| 18 | Efficient Bayesian network modeling of systems | Reliability Engineering & System Safety | Michelle Bensi, Armen Der Kiureghian et al. | 93 |
| 19 | A Bayesian Network Framework for Post-Earthquake Infrastructure System Performance Assessment | Michelle Bensi, Armen Der Kiureghian et al. | 15 | |
| 20 | Evaluating the Risk of a Terrorist Attack on a Cable-Stayed Bridge: A Probabilistic, Structural Analysis Based Approach | WIT transactions on the built environment | Michelle Bensi, Baidurya Bhattacharya et al. | 1 |
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.