World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
77
Citations
25942
World Ranking
1259
National Ranking
33

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Holger R. Maier is affiliated with the University of Adelaide in Australia and focuses their research primarily on environmental science and engineering. Their work spans multiple subfields, including global and planetary change, water science and technology, ocean engineering, environmental engineering, and civil and structural engineering.

The scientist's research topics include hydrology and watershed management studies, water resources management and optimization, flood risk assessment and management, hydrological forecasting using artificial intelligence, water-energy-food nexus studies, water systems and optimization, and reservoir engineering and simulation methods.

Holger R. Maier has contributed numerous publications to various academic venues. Frequent places of publication include:

  • Environmental Modelling & Software
  • Journal of Hydrology
  • Water Resources Research
  • MODSIM2021, 24th International Congress on Modelling and Simulation.
  • SSRN Electronic Journal

Among recent papers authored or co-authored by Holger R. Maier are:

  • "The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support" (2020) published in Environmental Modelling & Software
  • "Explainable artificial intelligence in disaster risk management: Achievements and prospective futures" (2023) in International Journal of Disaster Risk Reduction
  • "Exploding the myths: An introduction to artificial neural networks for prediction and forecasting" (2023) in Environmental Modelling & Software
  • "Water quality modeling in sewer networks: Review and future research directions" (2021) in Water Research
  • "Anthropocene flooding: Challenges for science and society" (2020) in Hydrological Processes

Holger R. Maier collaborates frequently with a number of researchers in their field. Notable co-authors include Aaron C. Zecchin, Seth Westra, Mark Thyer, Hedwig van Delden, and Hoshin V. Gupta, with collaboration counts ranging from 12 to 19 publications each.

Best Publications

  • Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications

    Holger R. Maier;Graeme C. Dandy

  • Review: Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

    Holger R. Maier;Ashu Jain;Graeme C. Dandy;K. P. Sudheer

  • Selecting among five common modelling approaches for integrated environmental assessment and management

    Rebecca A. Kelly;Anthony J. Jakeman;Olivier Barreteau;Mark E. Borsuk

  • The Use of Artificial Neural Networks for the Prediction of Water Quality Parameters

    Holger R. Maier;Graeme C. Dandy

  • Evolutionary algorithms and other metaheuristics in water resources

    H.R. Maier;Z. Kapelan;J. Kasprzyk;J. Kollat

  • Input determination for neural network models in water resources applications. Part 1—background and methodology

    Gavin J. Bowden;Graeme C. Dandy;Holger R. Maier

  • Ant Colony Optimization for Design of Water Distribution Systems

    Holger R. Maier;Angus R. Simpson;Aaron C. Zecchin;Wai Kuan Foong

  • Future research challenges for incorporation of uncertainty in environmental and ecological decision-making

    J. C. Ascough;H. R. Maier;J. K. Ravalico;M. W. Strudley

  • The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support

    Saman Razavi;Anthony Jakeman;Andrea Saltelli;Clémentine Prieur

  • An uncertain future, deep uncertainty, scenarios, robustness and adaptation

    H.R. Maier;J.H.A. Guillaume;H. van Delden;G.A. Riddell

  • Artificial neural network applications in geotechnical engineering

    Mohamed A. Shahin;Mark B. Jaksa;Holger R. Maier

  • PREDICTING SETTLEMENT OF SHALLOW FOUNDATIONS USING NEURAL NETWORKS

    Mohamed A. Shahin;Holger R. Maier;Mark B. Jaksa

  • Review of Input Variable Selection Methods for Artificial Neural Networks

    Robert May;Graeme Dandy;Holger Maier

  • DATA DIVISION FOR DEVELOPING NEURAL NETWORKS APPLIED TO GEOTECHNICAL ENGINEERING

    Mohamed A. Shahin;Holger R. Maier;Mark B. Jaksa

  • Optimal division of data for neural network models in water resources applications

    Gavin J. Bowden;Holger R. Maier;Graeme C. Dandy

  • Non-linear variable selection for artificial neural networks using partial mutual information

    Robert J. May;Holger R. Maier;Graeme C. Dandy;T.M.K. Gayani Fernando

  • Review: Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling

    Wenyan Wu;Graeme C. Dandy;Holger R. Maier

  • The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study

    Holger R. Maier;Graeme C. Dandy

  • Genetic Algorithms for Reliability-Based Optimization of Water Distribution Systems

    Bryan A. Tolson;Holger R. Maier;Angus R. Simpson;Barbara J. Lence

  • Introductory overview: Optimization using evolutionary algorithms and other metaheuristics

    H.R. Maier;S. Razavi;Z. Kapelan;Z. Kapelan;L.S. Matott

  • An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together?

    H. R. Maier;J.H.A. Guillaume;H. van Delden;G.A. Riddell

Frequent Co-Authors

Graeme C. Dandy
Graeme C. Dandy University of Adelaide
Angus R. Simpson
Angus R. Simpson University of Adelaide
Aaron C. Zecchin
Aaron C. Zecchin University of Adelaide
Seth Westra
Seth Westra University of Adelaide
Mohamed A. Shahin
Mohamed A. Shahin Curtin University
Martin F. Lambert
Martin F. Lambert University of Adelaide
Andrea Castelletti
Andrea Castelletti Polytechnic University of Milan
Craig T. Simmons
Craig T. Simmons University of Newcastle Australia
Zoran Kapelan
Zoran Kapelan Delft University of Technology
Jan H. Kwakkel
Jan H. Kwakkel Delft University of Technology

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