World's Best Scientists 2026 revealed!
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Engineering and Technology
Germany
2026

D-Index & Metrics

Engineering and Technology

D-Index
113
Citations
38778
World Ranking
74
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Germany Leader Award

Overview

Ozgur Kisi is affiliated with Ilia State University in Georgia and has contributed extensively to fields related to environmental science and engineering. Their research primarily focuses on hydrological forecasting, watershed management, and artificial intelligence applications in environmental systems.

The main fields of study for Ozgur Kisi include:

  • Environmental Science
  • Engineering

The subfields of study in which they have published are:

  • Environmental Engineering
  • Water Science and Technology
  • Global and Planetary Change
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Their key research topics encompass:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Energy Load and Power Forecasting
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Water Quality Monitoring Technologies
  • Hydrology and Sediment Transport Processes

Ozgur Kisi has been a frequent contributor to several publication venues, including:

  • Water
  • Water Resources Management
  • Environmental Science and Pollution Research
  • Hydrological Sciences Journal
  • Sustainability

They have collaborated with various co-authors multiple times, notably with:

  • Salim Heddam
  • Rana Muhammad Adnan
  • Mohammad Zounemat-Kermani
  • Sungwon Kim
  • Anurag Malik

Ozgur Kisi's recent published papers include:

  • Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization, 2021, Knowledge-Based Systems
  • A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions, 2020, Energy
  • Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization, 2020, Journal of Hydrology
  • Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction, 2020, Stochastic Environmental Research and Risk Assessment
  • Advanced machine learning model for better prediction accuracy of soil temperature at different depths, 2020, PLoS ONE

In addition to articles, Ozgur Kisi has authored books published by Springer International Publishing and the University of Southern Queensland. Titles include "Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation" (2020) and "Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation" (2021).

Best Publications

  • Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

    Vahid Nourani;Aida Hosseini Baghanam;Jan Adamowski;Ozgur Kisi

  • Streamflow Forecasting Using Different Artificial Neural Network Algorithms

    Özgür Kişi

  • Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process

    Vahid Nourani;Vahid Nourani;Özgür Kisi;Mehdi Komasi

  • Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones

    Ozgur Kisi

  • Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey

    Ozgur Kisi;Murat Ay

  • River Flow Modeling Using Artificial Neural Networks

    Özgür Kişi

  • A wavelet-support vector machine conjunction model for monthly streamflow forecasting

    Ozgur Kisi;Mesut Cimen

  • Wavelet and neuro-fuzzy conjunction model for precipitation forecasting

    Turgay Partal;Özgür Kişi

  • Suspended sediment estimation using neuro-fuzzy and neural network approaches

    Ozgur Kisi

  • Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

    Ozgur Kisi;Kulwinder Singh Parmar

  • Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

    Youngmin Seo;Sungwon Kim;Ozgur Kisi;Vijay P. Singh

  • Solar radiation prediction using different techniques: model evaluation and comparison

    Lunche Wang;Ozgur Kisi;Mohammad Zounemat-Kermani;Germán Ariel Salazar

  • Modeling rainfall-runoff process using soft computing techniques

    Ozgur Kisi;Jalal Shiri;Mustafa Tombul

  • Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq

    Zaher Mundher Yaseen;Othman Jaafar;Ravinesh C. Deo;Ozgur Kisi

  • Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation / Prévision et estimation de la concentration en matières en suspension avec des perceptrons multi-couches et l’algorithme d’apprentissage de Levenberg-Marquardt

    Özgür Kisi

  • Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

    Ozgur Kisi

  • Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

    Ravinesh C Deo;Ozgur Kisi;Vijay P Singh

  • A genetic programming approach to suspended sediment modelling

    Ali Aytek;Özgür Kişi

  • Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method

    Rawshan Ali;Alban Kuriqi;Shadan Abubaker;Ozgur Kisi

  • Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data

    H. Kerem Cigizoglu;Özgür Kişi

  • Generalized regression neural networks for evapotranspiration modelling

    Özgür Kişi

  • Daily streamflow prediction using optimally pruned extreme learning machine

    Rana Muhammad Adnan;Zhongmin Liang;Slavisa Trajkovic;Mohammad Zounemat-Kermani

Frequent Co-Authors

Jalal Shiri
Jalal Shiri University of Tabriz
Mohammad Zounemat-Kermani
Mohammad Zounemat-Kermani Shahid Bahonar University of Kerman
Ahmed El-Shafie
Ahmed El-Shafie United Arab Emirates University
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Vijay P. Singh
Vijay P. Singh Texas A&M University
Lunche Wang
Lunche Wang China University of Geosciences
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Xiaohui Yuan
Xiaohui Yuan Huazhong University of Science and Technology
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Jan Adamowski
Jan Adamowski McGill University

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