Ricardo Mantilla

Ricardo Mantilla

University of Iowa

H-index: 31

North America-United States

About Ricardo Mantilla

Ricardo Mantilla, With an exceptional h-index of 31 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Iowa, specializes in the field of hydrology, geomorphology, floods, river networks.

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

Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins

Interpolation vs. Extrapolation in Flood Forecasting: Exploring the Predictive Capability of Conceptual and Machine Learning Tools in Non-Stationary Scenarios

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Exploring the Potential of SMAP Soil Moisture for Improving Real-time Streamflow Prediction in the US

Ensemble Kalman Inversion for upstream parameter estimation and indirect streamflow correction: A simulation study

Snow-detonated floods: Assessment of the US midwest March 2019 event

Applicability of a flood forecasting system for Nebraska watersheds

Ensemble Kalman Inversion with Limited Observation for Parameter Estimation and Upstream Streamflow Prediction

Ricardo Mantilla Information

University

Position

Assistant Professor The

Citations(all)

3195

Citations(since 2020)

1618

Cited By

2229

hIndex(all)

31

hIndex(since 2020)

25

i10Index(all)

56

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Ricardo Mantilla Skills & Research Interests

hydrology

geomorphology

floods

river networks

Top articles of Ricardo Mantilla

Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins

Hydrology and Earth System Sciences Discussions

2023/8/3

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Interpolation vs. Extrapolation in Flood Forecasting: Exploring the Predictive Capability of Conceptual and Machine Learning Tools in Non-Stationary Scenarios

2024/3/7

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Journal of Hydrology

2024/1/1

Exploring the Potential of SMAP Soil Moisture for Improving Real-time Streamflow Prediction in the US

Authorea Preprints

2023/11/8

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Ensemble Kalman Inversion for upstream parameter estimation and indirect streamflow correction: A simulation study

Advances in water resources

2023/11/1

Snow-detonated floods: Assessment of the US midwest March 2019 event

Journal of Hydrology: Regional Studies

2023/6/1

Applicability of a flood forecasting system for Nebraska watersheds

Environmental Modelling & Software

2023/6/1

Ensemble Kalman Inversion with Limited Observation for Parameter Estimation and Upstream Streamflow Prediction

AGU Fall Meeting Abstracts

2022/12

Xueyu Zhu
Xueyu Zhu

H-Index: 10

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Insights on Physical Controls and Statistical Effects on the Interpretation of Peak Flow Scaling from a Mesoscale Basin to the Mississippi River Basin

AGU Fall Meeting Abstracts

2022/12

Gabriel Perez
Gabriel Perez

H-Index: 4

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

From Hydro-Kansas to the Iowa Flood Center

AGU Fall Meeting Abstracts

2022/12

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

A Note of Caution Regarding the Interpretation of Hydrological Model Predictions under Climate and Anthropogenic Driven Changes

AGU Fall Meeting Abstracts

2022/12

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Regional Flood Frequency Analysis Using Physics-based Hydrologic Modeling

Authorea Preprints

2022/11/26

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Gabriel Perez
Gabriel Perez

H-Index: 4

Guo Yu
Guo Yu

H-Index: 10

Interactive hydrological modelling and simulation on client-side web systems: an educational case study

Journal of hydroinformatics

2022/11/1

Forecasting extreme weather events and associated impacts: case studies

Extreme Weather Forecasting

2022/8/11

The hydrological hillslope-link model for space-time prediction of streamflow: Insights and applications at the Iowa Flood Center

Extreme weather forecasting

2022/8/11

Identification and regionalization of streamflow routing parameters using machine learning for the HLM hydrological model in Iowa

Journal of Advances in Modeling Earth Systems

2022/7

A Client-Side Web Framework for Rainfall-Runoff Modelling in a Hybrid Learning Context

Frontiers in Hydrology 2022

2022/6

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Ibrahim Demir
Ibrahim Demir

H-Index: 23

A Multiscale Visualization Platform for FEWS-based Forecasting Systems: From Flash Floods to Large Regulated Rivers

Frontiers in Hydrology 2022

2022/6

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Andre Della Libera Zanchetta
Andre Della Libera Zanchetta

H-Index: 1

Identifying flood forecasting limitations in the Hillslope Link Model through the hydrograph moments index

Frontiers in Hydrology 2022

2022/6

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

See List of Professors in Ricardo Mantilla University(University of Iowa)

Co-Authors

academic-engine