Jan Adamowski

Jan Adamowski publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jan Adamowski sits on this spectrum.

Jan Adamowski D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jan Adamowski sits on this spectrum.

Overview

Best Publications

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

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

  798
  Citations

• A wavelet neural network conjunction model for groundwater level forecasting

  Jan Adamowski;Hiu Fung Chan

  762
  Citations

• An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

  Bahram Choubin;Bahram Choubin;Ehsan Moradi;Mohammad Golshan;Jan Adamowski

  725
  Citations

• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

  Khabat Khosravi;Himan Shahabi;Binh Thai Pham;Jan Adamowski

  687
  Citations

• Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

  Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Bogdan Ozga-Zielinski

  582
  Citations

• Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models

  A. Belayneh;J. Adamowski;B. Khalil;B. Ozga-Zielinski

  506
  Citations

• Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

  Rahim Barzegar;Rahim Barzegar;Mohammad Taghi Aalami;Jan Adamowski

  496
  Citations

• Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.

  Jan Adamowski;Karen Sun

  494
  Citations

• Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India

  Santosh M. Pingale;Deepak Khare;Mahesh K. Jat;Jan Adamowski

  393
  Citations

• Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)

  D. Nalley;J. Adamowski;B. Khalil

  330
  Citations

• A Century of Observations Reveals Increasing Likelihood of Continental-Scale Compound Dry-Hot Extremes

  Mohammad Reza Alizadeh;Jan Adamowski;Mohammad Reza Nikoo;Amir AghaKouchak

  325
  Citations

• Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

  Manish Kumar Goyal;Birendra Bharti;John Quilty;Jan Franklin Adamowski

  318
  Citations

• 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

  316
  Citations

• Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

  Mohanad S. Al-Musaylh;Ravinesh C. Deo;Ravinesh C. Deo;Jan Franklin Adamowski;Yan Li

  316
  Citations

• Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms

  Jan Adamowski;Jan Adamowski;Christina Karapataki;Christina Karapataki

  310
  Citations

• A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects

  Shahryar Monghasemi;Mohammad Reza Nikoo;Mohammad Ali Khaksar Fasaee;Jan Adamowski

  262
  Citations

• Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis

  Jan F. Adamowski

  253
  Citations

• Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models

  Mukesh K. Tiwari;Jan Adamowski

  248
  Citations

• Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks

  Jan Franklin Adamowski

  248
  Citations

• A critical review on the application of the National Sanitation Foundation Water Quality Index

  Roohollah Noori;Ronny Berndtsson;Majid Hosseinzadeh;Jan Franklin Adamowski

  238
  Citations

• Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

  Ravinesh C. Deo;Mukesh K. Tiwari;Jan F. Adamowski;John M. Quilty

  232
  Citations

• Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

  Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Vishwa Nath Sharda

  208
  Citations

• Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework.

  John Quilty;Jan Adamowski

  206
  Citations

• Standard precipitation index drought forecasting using neural networks, wavelet neural networks, and support vector regression

  A. Belayneh;J. Adamowski

  197
  Citations