| A review of recent advances in urban flood research C Agonafir, T Lakhankar, R Khanbilvardi, N Krakauer, D Radell, ... Water Security 19, 100141, 2023 | 50 | 2023 |
| Understanding New York City street flooding through 311 complaints C Agonafir, AR Pabon, T Lakhankar, R Khanbilvardi, N Devineni Journal of Hydrology 605, 127300, 2022 | 23 | 2022 |
| A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints C Agonafir, T Lakhankar, R Khanbilvardi, N Krakauer, D Radell, ... Computers, Environment and Urban Systems 97, 2022 | 20 | 2022 |
| A review of recent advances in urban flood research. Water Secur 19: 100141 C Agonafir, T Lakhankar, R Khanbilvardi, N Krakauer, D Radell, ... | 12 | 2023 |
| A Citizen-Science Approach for Urban Flood Risk Analysis Using Data Science and Machine Learning C Agonafir The City College of New York, 2022 | 4 | 2022 |
| Assessing Reproducibility Standards in Earth Science: Insights from LEAP Lab Research C Agonafir, X Ke, W Li, D Ma, W Xu, Y Zhao, T Zheng AGU24, 2024 | | 2024 |
| Structured exploration of machine learning model complexity for spatio-temporal forecasting of urban flooding C Agonafir, T Zheng EGUsphere 2024, 1-32, 2024 | | 2024 |
| Structured exploration of machine learning model C Agonafir, T Zheng | | |