Ozgur Kisi

Ozgur Kisi

Ilia State University

H-index: 103

Asia-Georgia

About Ozgur Kisi

Ozgur Kisi, With an exceptional h-index of 103 and a recent h-index of 77 (since 2020), a distinguished researcher at Ilia State University, specializes in the field of Developing novel algorithms and methods towards the innovative solution of hydrologic forecasting and modeling, suspended sedime.

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

Utilizing Hybrid Machine Learning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River Basins

Predicting discharge coefficient of weir–orifice in closed conduit using a neuro-fuzzy model improved by multi-phase PSOGSA

Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods

Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship

Developing Extended and Unscented Kalman Filter-Based Neural Networks to Predict Cluster-Induced Roughness in Gravel Bed Rivers

Developing an ensembled machine learning model for predicting water quality index in Johor River Basin

Comparison of improved relevance vector machines for streamflow predictions

Predictive modeling of daily precipitation occurrence using weather data of prior days in various climates

Ozgur Kisi Information

University

Position

Department of Civil Engineering

Citations(all)

34656

Citations(since 2020)

22803

Cited By

20266

hIndex(all)

103

hIndex(since 2020)

77

i10Index(all)

446

i10Index(since 2020)

418

Email

University Profile Page

Ilia State University

Google Scholar

View Google Scholar Profile

Ozgur Kisi Skills & Research Interests

Developing novel algorithms and methods towards the innovative solution of hydrologic forecasting and modeling

suspended sedime

Top articles of Ozgur Kisi

Title

Journal

Author(s)

Publication Date

Utilizing Hybrid Machine Learning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River Basins

Hydrology

Reza Morovati

Ozgur Kisi

2024/4/4

Predicting discharge coefficient of weir–orifice in closed conduit using a neuro-fuzzy model improved by multi-phase PSOGSA

Applied Water Science

Rana Muhammad Adnan

Payam Khosravinia

Ozgur Kisi

Mohammad Reza Nikpour

Hong-Liang Dai

...

2024/3

Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods

Journal of Hydrology and Hydromechanics

Seyed Morteza Seyedian

Ozgur Kisi

2024

Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship

Results in Engineering

Ozgur Kisi

Hazi Mohammad Azamathulla

Fatih Cevat

Christoph Kulls

Mehdi Kuhdaragh

...

2024/6/1

Developing Extended and Unscented Kalman Filter-Based Neural Networks to Predict Cluster-Induced Roughness in Gravel Bed Rivers

Water Resources Management

Masoud Karbasi

Mohammad Ghasemian

Mehdi Jamei

Anurag Malik

Ozgur Kisi

2024/2/29

Developing an ensembled machine learning model for predicting water quality index in Johor River Basin

Environmental Sciences Europe

LM Sidek

HA Mohiyaden

M Marufuzzaman

NSM Noh

Salim Heddam

...

2024/4/1

Comparison of improved relevance vector machines for streamflow predictions

Journal of Forecasting

Rana Muhammad Adnan

Reham R Mostafa

Hong‐Liang Dai

Ehsan Mansouri

Ozgur Kisi

...

2024/1

Predictive modeling of daily precipitation occurrence using weather data of prior days in various climates

Earth Science Informatics

Ghorban Mahtabi

Ozgur Kisi

Saeed Mozaffari

Farshid Taran

2024/3/26

Modeling river water dissolved organic matter using ensemble computing and genetic programming techniques

Ecohydrology & Hydrobiology

Mohammad Zounemat-Kermani

Soudabeh Golestani Kermani

Marzieh Fadaee

Ammar Aldallal

Ozgur Kisi

...

2024/5/1

Daily suspended sediment yield estimation using soft-computing algorithms for hilly watersheds in a data-scarce situation: a case study of Bino watershed, Uttarakhand

Theoretical and Applied Climatology

Paramjeet Singh Tulla

Pravendra Kumar

Dinesh Kumar Vishwakarma

Rohitashw Kumar

Alban Kuriqi

...

2024/2/10

Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data

Theoretical and applied climatology

Rana Muhammad Adnan

Amin Mirboluki

Mojtaba Mehraein

Anurag Malik

Salim Heddam

...

2024/1

Hybrid Approach for Streamflow Prediction: LASSO-Hampel Filter Integration with Support Vector Machines, Artificial Neural Networks, and Autoregressive Distributed Lag Models

Water Resources Management

Maha Shabbir

Sohail Chand

Farhat Iqbal

Ozgur Kisi

2024/4/18

Quantitative forecasting of bed sediment load in river engineering: an investigation into machine learning methodologies for complex phenomena

Water Supply

Mehdi Fuladipanah

H Md Azamathulla

Ozgur Kisi

Mehdi Kouhdaragh

Vishwandham Mandala

2024/2/1

Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data

Stochastic Environmental Research and Risk Assessment

Ozgur Kisi

Salim Heddam

Kulwinder Singh Parmar

Zaheer Mundher Yaseen

Christoph Kulls

2024/3/16

Groundwater level estimation using improved deep learning and soft computing methods

Earth Science Informatics

Amin Mirboluki

Mojtaba Mehraein

Ozgur Kisi

Alban Kuriqi

Reza Barati

2024/4/9

Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms

Earth Science Informatics

Mahdieh Jannatkhah

Rouhollah Davarpanah

Bahman Fakouri

Ozgur Kisi

2024/1/15

Modeling Zn Availability and Uptake by Citrus Plants Using Easily Measured Soil Characteristics

Environmental Modeling & Assessment

Saber Heidari

Meysam Vadiati

Seyed Ali Ghaffari Nejad

Javad Sarhadi

Ozgur Kisi

2024/3/15

An Investigation on Hydraulic Aspects of Rectangular Labyrinth Pool and Weir Fishway Using FLOW-3D

Arabian Journal for Science and Engineering

Parisa Mirkhorli

Amir Ghaderi

Forough Alizadeh Sanami

Mirali Mohammadi

Alban Kuriqi

...

2024/1/4

Random Forest Ensemble-Based Predictions of On-Road Vehicular Emissions and Fuel Consumption in Developing Urban Areas

Sustainability

Muhammed A Hassan

Hindawi Salem

Nadjem Bailek

Ozgur Kisi

2023/1/12

Water temperature prediction using improved deep learning methods through reptile search algorithm and weighted mean of vectors optimizer

Journal of Marine Science and Engineering

Rana Muhammad Adnan Ikram

Reham R Mostafa

Zhihuan Chen

Kulwinder Singh Parmar

Ozgur Kisi

...

2023/2

See List of Professors in Ozgur Kisi University(Ilia State University)

Co-Authors

H-index: 69
Professor Ravinesh Deo, Highly Cited Researcher 2021 - Clarivate Web of Science

Professor Ravinesh Deo, Highly Cited Researcher 2021 - Clarivate Web of Science

University of Southern Queensland

H-index: 63
Ahmed El-Shafie

Ahmed El-Shafie

Universiti Malaya

H-index: 53
Vahid Nourani

Vahid Nourani

University of Tabriz

H-index: 50
Jalal Shiri

Jalal Shiri

University of Tabriz

H-index: 46
Behrooz Keshtegar

Behrooz Keshtegar

University of Zabol

H-index: 41
Mohammad Zounemat-Kermani

Mohammad Zounemat-Kermani

Shahid Bahonar University of Kerman

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