Rahim Barzegar

Rahim Barzegar

McGill University

H-index: 31

North America-Canada

About Rahim Barzegar

Rahim Barzegar, With an exceptional h-index of 31 and a recent h-index of 31 (since 2020), a distinguished researcher at McGill University, specializes in the field of Hydro(geo)logy, Machine Learning, Water Quality, Environmental Risk, Climate Change.

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

Incorporating Hydraulic Gradient and Pumping Rate into GALDIT Framework for Salinity Hazard Assessment in Coastal Aquifers: A Case Study of Urmia Plain, Iran

Advancing Groundwater Vulnerability Assessment in Coastal Regions: Integrating Machine Learning and Traditional Frameworks

Forecasting water quality variable using deep learning and weighted averaging ensemble models

Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems

A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India

Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada

Multi-step-ahead soil temperature forecasting at multiple-depth based on meteorological data: Integrating resampling algorithms and machine learning models

Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy

Rahim Barzegar Information

University

Position

Ph.D. Faculty of Agricultural and Environmental Sciences

Citations(all)

2776

Citations(since 2020)

2508

Cited By

1062

hIndex(all)

31

hIndex(since 2020)

31

i10Index(all)

41

i10Index(since 2020)

41

Email

University Profile Page

Google Scholar

Rahim Barzegar Skills & Research Interests

Hydro(geo)logy

Machine Learning

Water Quality

Environmental Risk

Climate Change

Top articles of Rahim Barzegar

Title

Journal

Author(s)

Publication Date

Incorporating Hydraulic Gradient and Pumping Rate into GALDIT Framework for Salinity Hazard Assessment in Coastal Aquifers: A Case Study of Urmia Plain, Iran

Mirsajsd Fakhri

Asghar Asghari Moghaddam

Ata Allah Nadiri

Rahim Barzegar

Vincent Cloutier

2024/4/25

Advancing Groundwater Vulnerability Assessment in Coastal Regions: Integrating Machine Learning and Traditional Frameworks

AJ Wiebe

JM McKenzie

E Hamel

H Yin

DL Rudolph

...

2023/5/15

Forecasting water quality variable using deep learning and weighted averaging ensemble models

Environmental Science and Pollution Research

Mohammad G Zamani

Mohammad Reza Nikoo

Sina Jahanshahi

Rahim Barzegar

Amirreza Meydani

2023/12

Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems

Water Resources Management

Farhang Daneshmand

Jan Adamowski

Richard Martel

Rahim Barzegar

Shadi Hatami

2023/11

A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India

Environmental Science and Pollution Research

Murugesan Bagyaraj

Venkatramanan Senapathi

Sang Yong Chung

Gnanachandrasamy Gopalakrishnan

Yong Xiao

...

2023/9

Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada

Journal of Hydrology: Regional Studies

A. Nolin

M. Girardin

J. Adamowski

R. Barzegar

M. Boucher

...

2023/7

Multi-step-ahead soil temperature forecasting at multiple-depth based on meteorological data: Integrating resampling algorithms and machine learning models

Pedosphere

Khabat Khosravi

Ali Golkarian

Rahim Barzegar

Mohammad T Aalami

Salim Heddam

...

2023/6/1

Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy

Journal of Environmental Management

Maryam Gharekhani

Ata Allah Nadiri

Rahman Khatibi

Mohammad Reza Nikoo

Rahim Barzegar

...

2023/4/15

Ensemble learning of decomposition-based machine learning and deep learning models for multi-time step ahead streamflow forecasting in an arid region

Linshan Yang

Haijiao Yu

Qi Feng

Rahim Barzegar

Jan F Adamowski

...

2023/4/5

Establishing a data fusion water resources risk map based on aggregating drinking water quality and human health risk indices

Water

Ata Allah Nadiri

Zahra Sedghi

Rahim Barzegar

Mohammad Reza Nikoo

2022/10/26

Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques

Earth Science Informatics

Ata Allah Nadiri

Iraj Habibi

Maryam Gharekhani

Sina Sadeghfam

Rahim Barzegar

...

2022/6

Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran

Chemosphere

Ata Allah Nadiri

Fariba Sadeghi Aghdam

Siamak Razzagh

Rahim Barzegar

Nasser Jabraili-Andaryan

...

2022/12/1

Developing a data fused water quality index based on artificial intelligence models to mitigate conflicts between GQI and GWQI

Water

Ata Allah Nadiri

Rahim Barzegar

Sina Sadeghfam

Ali Asghar Rostami

2022/10/10

A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning

Geocarto International

Mahdi Panahi

Khabat Khosravi

Ali Golkarian

Mahsa Roostaei

Rahim Barzegar

...

2023

Contributions of climate, elevated atmospheric CO2 concentration and land surface changes to variation in water use efficiency in Northwest China

Catena

Linshan Yang

Qi Feng

Xiaohu Wen

Rahim Barzegar

Jan F Adamowski

...

2022/6/1

Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models

Journal of Hydrology

Rahim Barzegar

Siamak Razzagh

John Quilty

Jan Adamowski

Homa Kheyrollah Pour

...

2021/7/1

Comparing the Soil Conservation Service Model with New Machine Learning Algorithms for Predicting Cumulative Infiltration in Semi-arid Regions

Pedosphere

Khabat Khosravi

TT Phuong

Rahim Barzegar

John Quilty

Mohammad T Aalami

2022/10/1

Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing

EGU General Assembly Conference Abstracts

Rahim Barzegar

Jan Adamowski

John Quilty

2021/4

Improving daily stochastic streamflow prediction: Comparison of novel hybrid data mining algorithms

Hydrological Sciences Journal

Khabat Khosravi

Ali Golkarian

Martijn J Booij

Rahim Barzegar

Wei Sun

...

2021/7/4

Mapping Risk to Land Subsidence: Developing a Two-Level Modeling Strategy by Combining Multi-Criteria Decision-Making and Artificial Intelligence Techniques

Water

Ata Allah Nadiri

Marjan Moazamnia

Sina Sadeghfam

Rahim Barzegar

2021

See List of Professors in Rahim Barzegar University(McGill University)

Co-Authors

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