Navid Jadidoleslam

Navid Jadidoleslam

University of Iowa

H-index: 8

North America-United States

About Navid Jadidoleslam

Navid Jadidoleslam, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Iowa, specializes in the field of Data Science, Statistical modeling, Remote Sensing.

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

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

Forecasting extreme weather events and associated impacts: case studies

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

Capturing Irrigation Quantities from Satellite-based Soil Moisture and Precipitation Observations

Conditional Probability Distribution of Soil Moisture Using Global Satellite-based Precipitation Measurements

Quantifying Net Irrigation from SMAP Retrievals

Analyzing effects of crops on SMAP satellite-based soil moisture using a rainfall–runoff model in the US corn belt

Insights into storm direction effect on flood response

Navid Jadidoleslam Information

University

Position

IIHR Hydroscience & Engineering - The

Citations(all)

209

Citations(since 2020)

179

Cited By

80

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Navid Jadidoleslam Skills & Research Interests

Data Science

Statistical modeling

Remote Sensing

Top articles of Navid Jadidoleslam

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

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

Capturing Irrigation Quantities from Satellite-based Soil Moisture and Precipitation Observations

Frontiers in Hydrology 2022

2022/6

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Mehmet Evren Soylu
Mehmet Evren Soylu

H-Index: 8

Conditional Probability Distribution of Soil Moisture Using Global Satellite-based Precipitation Measurements

Frontiers in Hydrology 2022

2022/6

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Mehmet Evren Soylu
Mehmet Evren Soylu

H-Index: 8

Quantifying Net Irrigation from SMAP Retrievals

AGU Fall Meeting Abstracts

2021/12

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Analyzing effects of crops on SMAP satellite-based soil moisture using a rainfall–runoff model in the US corn belt

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021/11/26

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Insights into storm direction effect on flood response

Journal of Hydrology

2021/7/17

Ganesh R Ghimire
Ganesh R Ghimire

H-Index: 4

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Data assimilation of satellite-based soil moisture into a distributed hydrological model for streamflow predictions

Hydrology

2021/3/20

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Exploring the utility of satellite-based soil moisture in real-time flood forecasting

2021

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Basin Rotation Method to Quantify the Effect of Rainstorm Movement on Flood Peak Response

AGU Fall Meeting Abstracts

2020/12

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Hydrovise: A non-proprietary open-source software for hydrologic model and data visualization and evaluation

Environmental Modelling & Software

2020/12/1

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Ricardo Mantilla
Ricardo Mantilla

H-Index: 23

Insights on streamflow predictability across scales using horizontal visibility graph based networks

Frontiers in water

2020/7/23

Ganesh R Ghimire
Ganesh R Ghimire

H-Index: 4

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Inference On Streamflow Predictability Using Horizontal Visibility Graph Based Networks

EGU General Assembly Conference Abstracts

2020/5

Navid Jadidoleslam
Navid Jadidoleslam

H-Index: 4

Witold Krajewski
Witold Krajewski

H-Index: 39

See List of Professors in Navid Jadidoleslam University(University of Iowa)