Razi Sheikholeslami

Razi Sheikholeslami

University of Oxford

H-index: 21

Europe-United Kingdom

About Razi Sheikholeslami

Razi Sheikholeslami, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Water Resources, Uncertainty, Sensitivity analysis, Machine Learning, Optimization.

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

Projecting impacts of climate change on water quality and quantity using an AI-based model as an innovative alternative to physically-based models

An Improved Copula-Based Framework for Efficient Global Sensitivity Analysis

Machine learning insights into PM2.5 changes during COVID-19 lockdown: LSTM and RF analysis in Mashhad

Assessing Uncertainties and Hotspots in Synthetic Fertilizer Runoff in Major River Basins

Global patterns and key drivers of stream nitrogen concentration: A machine learning approach

Unpacking the modelling process via sensitivity auditing

How certain are we about the model-based estimations of global irrigation water withdrawal?

The role of livestock in nitrogen pollution of large river basins: A machine learning-based assessment

Razi Sheikholeslami Information

University

Position

Research Associate in Hydrology and Agriculture

Citations(all)

1797

Citations(since 2020)

1238

Cited By

975

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

23

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Razi Sheikholeslami Skills & Research Interests

Water Resources

Uncertainty

Sensitivity analysis

Machine Learning

Optimization

Top articles of Razi Sheikholeslami

Title

Journal

Author(s)

Publication Date

Projecting impacts of climate change on water quality and quantity using an AI-based model as an innovative alternative to physically-based models

Seyed Mohammad Mahdi Moezzi

Ali Abousaeidi

Farkhondeh Khorashadi Zadeh

Razi Sheikholeslami

Albert Nkwasa

...

2024/3/7

An Improved Copula-Based Framework for Efficient Global Sensitivity Analysis

Water Resources Research

Hongli Liu

Martyn P Clark

Shervan Gharari

Razi Sheikholeslami

Jim Freer

...

2024/1/22

Machine learning insights into PM2.5 changes during COVID-19 lockdown: LSTM and RF analysis in Mashhad

Environmental Monitoring and Assessment

Seyed Mohammad Mahdi Moezzi

Mitra Mohammadi

Mandana Mohammadi

Didem Saloglu

Razi Sheikholeslami

2024/5

Assessing Uncertainties and Hotspots in Synthetic Fertilizer Runoff in Major River Basins

Available at SSRN 4666562

Mohammad Kian Golkar

Razi Sheikholeslami

2023/11/1

Global patterns and key drivers of stream nitrogen concentration: A machine learning approach

Science of The Total Environment

Razi Sheikholeslami

Jim W Hall

2023/4/10

Unpacking the modelling process via sensitivity auditing

Futures

Samuele Lo Piano

Razi Sheikholeslami

Arnald Puy

Andrea Saltelli

2022/12/1

How certain are we about the model-based estimations of global irrigation water withdrawal?

EGU General Assembly Conference Abstracts

Arnald Puy

Razi Sheikholeslami

Hoshin Gupta

Jim Hall

Bruce Lankford

...

2022/5

The role of livestock in nitrogen pollution of large river basins: A machine learning-based assessment

EGU General Assembly Conference Abstracts

Razi Sheikholeslami

Jim Hall

2022/5

pyVISCOUS: An open-source tool for computationally frugal global sensitivity analysis

Authorea Preprints

Hongli Liu

Martyn P Clark

Shervan Gharari

Razi Sheikholeslami

Jim Freer

...

2022/11/26

A Machine Learning Approach to Identifying the Key Factors Influencing Global Water Quality

AGU Fall Meeting Abstracts

Razi Sheikholeslami

Jim Hall

2021/12

A global assessment of nitrogen concentrations using spatiotemporal random forests

Hydrology and Earth System Sciences Discussions

Razi Sheikholeslami

Jim W Hall

2022/2/1

VISCOUS: A Variance-Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes

Authorea Preprints

Sheikholeslami Razi

Gharari Shervan

2022/11/16

Uncertainty Quantification and Apportionment of Water Quality Index in South Florida Watershed

Fall Meeting 2022

Farshad Jahangiri

Razi Sheikholeslami

2022/12/12

The delusive accuracy of global irrigation water withdrawal estimates

Nature communications

Arnald Puy

Razi Sheikholeslami

Hoshin V Gupta

Jim W Hall

Bruce Lankford

...

2022/6/8

Why Sensitivity Auditing Matters for the Socio-hydrological Perspective in Water Resources Modelling

Razi Sheikholeslami

Mohammad Ghoreishi

Arnald Puy

Samuele Lo Piano

Andrea Saltelli

2022/12

VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes

Water Resources Research

Razi Sheikholeslami

Shervan Gharari

Simon Michael Papalexiou

Martyn P Clark

2021/7

The future of sensitivity analysis: an essential discipline for systems modeling and policy support

Environmental Modelling & Software

Saman Razavi

Anthony Jakeman

Andrea Saltelli

Clémentine Prieur

Bertrand Iooss

...

2021/3/1

The Agricultural Rebound Phenomenon: Why, What, and How?

AGU Fall Meeting Abstracts

Mohammad Ghoreishi

Saman Razavi

Amin Elshorbagy

Razi Sheikholeslami

Ken Belcher

2021/12

Peering into agricultural rebound phenomenon using a global sensitivity analysis approach

Journal of Hydrology

Mohammad Ghoreishi

Razi Sheikholeslami

Amin Elshorbagy

Saman Razavi

Kenneth Belcher

2021/11/1

An Efficient Data-Driven Variance-Based Global Sensitivity Analysis for Identifying Dominant Factors that Control Unusual Hydrological Events

Razi Sheikholeslami

2020

See List of Professors in Razi Sheikholeslami University(University of Oxford)

Co-Authors

H-index: 96
Martyn Clark

Martyn Clark

University of Saskatchewan

H-index: 88
A. Kaveh

A. Kaveh

Iran University of Science and Technology

H-index: 86
Jim W Hall

Jim W Hall

University of Oxford

H-index: 52
Siamak TalatAhari

Siamak TalatAhari

University of Tabriz

H-index: 35
Saman Razavi

Saman Razavi

University of Saskatchewan

H-index: 32
Simon Michael Papalexiou

Simon Michael Papalexiou

University of California, Irvine

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