| Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design M Zaker Esteghamati, MM Flint Engineering Structures 245, 112971, 2021 | 59 | 2021 |
| The effect of design drift limit on the seismic performance of RC dual high‐rise buildings M Zaker Esteghamati, M Banazadeh, Q Huang The Structural Design of Tall and Special Buildings 27 (8), 2018 | 48 | 2018 |
| Probabilistic seismic performance and loss evaluation of a multi-story steel building equipped with butterfly-shaped fuses MZ Esteghamati, A Farzampour Journal of Constructional Steel Research 172, 106187, 2020 | 41 | 2020 |
| Probabilistic seismic assessment of non-ductile RC buildings retrofitted using pre-tensioned aramid fiber reinforced polymer belts S Tarfan, M Banazadeh, M Zaker Esteghamati Composite Structures 208, 865-878, 2019 | 38 | 2019 |
| Estimating seismic demand models of a building inventory from nonlinear static analysis using deep learning methods MH Soleimani-Babakamali, MZ Esteghamati Engineering Structures 266, 114576, 2022 | 32 | 2022 |
| INSSEPT: An open-source relational database of seismic performance estimation to aid with early design of buildings M Zaker Esteghamati, J Lee, M Musetich, MM Flint Earthquake Spectra, 2020 | 28 | 2020 |
| Sustainable early design exploration of mid-rise office buildings with different subsystems using comparative life cycle assessment MZ Esteghamati, H Sharifnia, D Ton, P Asiatco, G Reichard, MM Flint Journal of Building Engineering, 2022 | 26 | 2022 |
| Do all roads lead to Rome? A comparison of knowledge-based, data-driven, and physics-based surrogate models for performance-based early design MZ Esteghamati, MM Flint Engineering Structures 286, 116098, 2023 | 13 | 2023 |
| A relational database to support post-earthquake building damage and recovery assessment M Omoya, I Ero, M Zaker Esteghamati, HV Burton, S Brandenberg, H Sun, ... Earthquake Spectra 38 (2), 1549-1569, 2022 | 13 | 2022 |
| A data‐driven approach to evaluate site amplification of ground‐motion models using vector proxies derived from horizontal‐to‐vertical spectral ratios M Zaker Esteghamati, AR Kottke, A Rodriguez‐Marek Bulletin of the seismological society of America 112 (6), 3001-3015, 2022 | 9 | 2022 |
| A holistic review of GM/IM selection methods from a structural performance-based perspective M Zaker Esteghamati Sustainability 14 (20), 12994, 2022 | 8 | 2022 |
| An efficient stratified-based ground motion selection for cloud analysis M Zaker Esteghamati, Q Huang 13th International Conference on Applications of Statistics and Probability …, 2019 | 7 | 2019 |
| The impact of hazard-consistent ground motion scenarios selection on structural seismic risk estimation M Zaker Esteghamati, M Bahrampouri, A Rodriguez-Marek Geo-Extreme 2021, 347-356, 2021 | 6 | 2021 |
| Reliability-based assessment of progressive collapse in horizontally irregular multi-story concrete buildings MZ Esteghamati, S Alimohammadi Structures 44, 1597-1606, 2022 | 5 | 2022 |
| Inventory of seismic structural evaluation, performance functions and taxonomies for buildings (INSSEPT) MM Flint, M Zaker Esteghamati, J Lee, M Musetich, M Sharifi Mood DesignSafe-CI, 2019 | 4* | 2019 |
| Building Information and Structural Models of Archetype Commercial Buildings Located in the Central and Eastern United States MM Flint, MR Eatherton, G Reichard, GC Olgun, RT Leon, ... DesignSafe-CI, 2021 | 3* | 2021 |
| Evaluating fire resistance of timber columns using explainable machine learning models MZ Esteghamati, T Gernay, S Banerji Engineering Structures 296, 116910, 2023 | 2 | 2023 |
| Cascading Effects of Mass Gatherings on COVID-19 Infections from a Multihazard Perspective: A Case Study of New York City A Haque, D Pamukcu, R Xie, M Zaker Esteghamati, M Cowell, JL Irish Proceedings of the International ISCRAM Conference, 2021 | 2 | 2021 |
| Evaluating the impact of higher-mode and inelastic dynamic responses of concrete frames on the performance of seismic intensity measures MZ Esteghamati, Q Huang Structures 56, 105029, 2023 | 1 | 2023 |
| Prediction of Compressive Strength of UHPC Mix Designs Based on Mix Components Using Machine Learning Techniques MA Al Sarfin, S Banerji, MZ Esteghamati, A Sorensen International Interactive Symposium on Ultra-High Performance Concrete 3 (1), 2023 | 1 | 2023 |
Qindan HuangAssociate Professor, Civil, Constrution and Enviornmental Engineering, Marquette UniversityVerified email at marquette.edu
