Sareh Sayari

About Sareh Sayari

Sareh Sayari, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Shahid Bahonar University of Kerman, specializes in the field of Numerical simulation, Hydraulic, Irrigation, Water structures, Open channel flow.

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

Meta-learner methods in forecasting regulated and natural river flow

Irrigation water infiltration modeling using machine learning

Prediction of critical velocity in pipeline flow of slurries using TLBO algorithm: a comprehensive study

Sareh Sayari Information

University

Position

Ph.D hydraulic structure Iran

Citations(all)

79

Citations(since 2020)

77

Cited By

15

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Shahid Bahonar University of Kerman

Google Scholar

View Google Scholar Profile

Sareh Sayari Skills & Research Interests

Numerical simulation

Hydraulic

Irrigation

Water structures

Open channel flow

Top articles of Sareh Sayari

Title

Journal

Author(s)

Publication Date

Meta-learner methods in forecasting regulated and natural river flow

Arabian Journal of Geosciences

Sareh Sayari

Amin Mahdavi Meymand

Ammar Aldallal

Mohammad Zounemat-Kermani

2022/6

Irrigation water infiltration modeling using machine learning

Computers and Electronics in Agriculture

Sareh Sayari

Amin Mahdavi-Meymand

Mohammad Zounemat-Kermani

2021/1/1

Prediction of critical velocity in pipeline flow of slurries using TLBO algorithm: a comprehensive study

Journal of Pipeline Systems Engineering and Practice

Sareh Sayari

Amin Mahdavi-Meymand

Mohammad Zounemat-Kermani

2020

See List of Professors in Sareh Sayari University(Shahid Bahonar University of Kerman)

Co-Authors

H-index: 41
Mohammad Zounemat-Kermani

Mohammad Zounemat-Kermani

Shahid Bahonar University of Kerman

H-index: 13
Majid Rahimpour

Majid Rahimpour

Shahid Bahonar University of Kerman

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