World's Best Scientists 2026 revealed!
Mohammad Zounemat-Kermani

Mohammad Zounemat-Kermani

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
7186
World Ranking
5834
National Ranking
79

Overview

Mohammad Zounemat-Kermani is affiliated with Shahid Bahonar University of Kerman in Iran. Their research primarily spans Environmental Science and Engineering, with significant contributions in Environmental Engineering, Water Science and Technology, Artificial Intelligence, Civil and Structural Engineering, and Global and Planetary Change.

The scientist's work encompasses several main topics, including:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Energy Load and Power Forecasting
  • Water Quality Monitoring Technologies
  • Machine Learning and ELM
  • Hydraulic flow and structures
  • Flood Risk Assessment and Management

Mohammad Zounemat-Kermani has published extensively in leading venues. The most frequent publication outlets include:

  • Journal of Hydrology
  • Water
  • Environmental Science and Pollution Research
  • Earth Science Informatics
  • Research Square (Research Square)

The following recent papers illustrate the scope and focus of their research:

  • Ensemble machine learning paradigms in hydrology: A review, 2021, Journal of Hydrology
  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects, 2020, Journal of Hydrology
  • Groundwater level prediction using machine learning models: A comprehensive review, 2022, Neurocomputing
  • Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization, 2021, Knowledge-Based Systems
  • Climate Change, Water Quality and Water-Related Challenges: A Review with Focus on Pakistan, 2020, International Journal of Environmental Research and Public Health

The scientist has collaborated frequently with several coauthors. These include:

  • Özgür Kişi
  • Salim Heddam
  • Sungwon Kim
  • Amin Mahdavi-Meymand
  • Meysam Alizamir

Best Publications

  • Ensemble machine learning paradigms in hydrology: A review

    Mohammad Zounemat-Kermani;Okke Batelaan;Marzieh Fadaee;Reinhard Hinkelmann

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

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

  • Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models.

    Taher Rajaee;Seyed Ahmad Mirbagheri;Mohammad Zounemat-Kermani;Vahid Nourani

  • Daily streamflow prediction using optimally pruned extreme learning machine

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

  • Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

    Rana Muhammad Adnan;Zhongmin Liang;Salim Heddam;Mohammad Zounemat-Kermani

  • Using adaptive neuro-fuzzy inference system for hydrological time series prediction

    Mohammad Zounemat-Kermani;Mohammad Teshnehlab

  • Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

    Rana Muhammad Adnan;Reham R. Mostafa;Ozgur Kisi;Ozgur Kisi;Zaher Mundher Yaseen;Zaher Mundher Yaseen

  • River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model

    Taher Rajaee;Vahid Nourani;Mohammad Zounemat-Kermani;Ozgur Kisi

  • Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system

    Mohammad Zounemat-Kermani;Ali-Asghar Beheshti;Behzad Ataie-Ashtiani;Saeed-Reza Sabbagh-Yazdi

  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects

    Mohammad Zounemat-Kermani;Elena Matta;Andrea Cominola;Xilin Xia

  • A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions

    Meysam Alizamir;Sungwon Kim;Ozgur Kisi;Mohammad Zounemat-Kermani

  • Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

    Ozgur Kisi;Hadi Sanikhani;Mohammad Zounemat-Kermani;Faegheh Niazi

  • Pan evaporation modeling using six different heuristic computing methods in different climates of China

    Lunche Wang;Ozgur Kisi;Mohammad Zounemat-Kermani;Hui Li

  • Application of improved version of multi verse optimizer algorithm for modeling solar radiation

    Unknown

  • Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff

    Mohammad Zounemat-Kermani;Ozgur Kisi;Taher Rajaee

  • Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data

    Meysam Alizamir;Ozgur Kisi;Mohammad Zounemat-Kermani

  • Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

    Ozgur Kisi;Onur Genc;Semih Dinc;Mohammad Zounemat-Kermani

  • Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree

    Lunche Wang;Ozgur Kisi;Mohammad Zounemat-Kermani;Zhongmin Zhu;Zhongmin Zhu

  • Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration

    Ozgur Kisi;Mohammad Zounemat-Kermani

  • Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models

    Mohammad Zounemat-Kermani;Dietmar Stephan;Matthias Barjenbruch;Reinhard Hinkelmann

  • Evaporation modelling using different machine learning techniques.

    Lunche Wang;Lunche Wang;Ozgur Kisi;Bo Hu;Muhammad Bilal

Frequent Co-Authors

Ozgur Kisi
Ozgur Kisi Technical University of Applied Sciences Lübeck
Miklas Scholz
Miklas Scholz University of Salford
Lunche Wang
Lunche Wang China University of Geosciences
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Vahid Nourani
Vahid Nourani University of Tabriz
Vijay P. Singh
Vijay P. Singh Texas A&M University
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Jalal Shiri
Jalal Shiri University of Tabriz
Wei Gong
Wei Gong Wuhan University
Bo Hu
Bo Hu University of Iowa Health Care

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online urban planning degree options can open doors to careers in city development, environmental management, and public policy. These programs are designed for busy individuals seeking flexible study schedules to balance work and family commitments.

For students eager to advance quickly, 6 month master's degree online options offer a streamlined path to specialization in engineering and technology. These intensive programs help professionals upskill and qualify for advanced roles in a short period.

Careers in technology and engineering also value practical skills. Explore 6-month certificate programs that pay well for a fast, industry-recognized credential. Certificates in IT, data analysis, or project management are in high demand and often lead to well-paying jobs.

Balancing studies with family life? There are tailored online degrees for moms that offer support, flexibility, and practical pathways back into the workforce or toward a career change.

Whether you prefer a comprehensive degree or a short-term certificate, the right online program can support your career goals in engineering and technology.

Best Scientists Citing Mohammad Zounemat-Kermani

Trending Scientists