John Quilty

2.7k total citations
33 papers, 2.2k citations indexed

About

John Quilty is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, John Quilty has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Environmental Engineering, 18 papers in Water Science and Technology and 15 papers in Global and Planetary Change. Recurrent topics in John Quilty's work include Hydrological Forecasting Using AI (28 papers), Hydrology and Watershed Management Studies (17 papers) and Energy Load and Power Forecasting (8 papers). John Quilty is often cited by papers focused on Hydrological Forecasting Using AI (28 papers), Hydrology and Watershed Management Studies (17 papers) and Energy Load and Power Forecasting (8 papers). John Quilty collaborates with scholars based in Canada, Iran and India. John Quilty's co-authors include Jan Adamowski, Ravinesh C. Deo, Mukesh Tiwari, Bahaa Khalil, Özgür Kişi, Birendra Bharti, Ashish Pandey, Manish Kumar Goyal, Anna E. Sikorska‐Senoner and Rahim Barzegar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

John Quilty

32 papers receiving 2.1k citations

Peers

Countries citing papers authored by John Quilty

Since Specialization

Citations

This map shows the geographic impact of John Quilty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Quilty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Quilty more than expected).

Fields of papers citing papers by John Quilty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Quilty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Quilty. The network helps show where John Quilty may publish in the future.

Co-authorship network of co-authors of John Quilty

This figure shows the co-authorship network connecting the top 25 collaborators of John Quilty. A scholar is included among the top collaborators of John Quilty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Quilty. John Quilty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Hierarchical Deep Learning for Consistent Multi‐Timescale Hydrological Forecasting 2025 ·Water Resources Research ·(unknown), John Quilty	1
2	Sequence-to-Sequence Deep Learning for Urban Water Demand Forecasting 2024 ·SHILAP Revista de lepidopterología ·(unknown), John Quilty	0
3	A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting 2023 ·Journal of Hydrology ·(unknown), (unknown), John Quilty	39
4	Generative deep learning for probabilistic streamflow forecasting: Conditional variational auto-encoder 2023 ·Journal of Hydrology ·(unknown), John Quilty	14
5	Bayesian extreme learning machines for hydrological prediction uncertainty 2023 ·Journal of Hydrology ·John Quilty, (unknown), (unknown), H.G. Hughes, (unknown), (unknown)	11
6	Ensemble and stochastic conceptual data-driven approaches for improving streamflow simulations: Exploring different hydrological and data-driven models and a diagnostic tool 2022 ·Environmental Modelling & Software ·(unknown), John Quilty, Anna E. Sikorska‐Senoner	13
7	Probabilistic urban water demand forecasting using wavelet-based machine learning models 2021 ·Journal of Hydrology ·(unknown), John Quilty, (unknown)	38
8	A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations 2021 ·Environmental Modelling & Software ·Anna E. Sikorska‐Senoner, John Quilty	57
9	Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones 2020 ·Journal of Hydrology ·Dilip Kumar Roy, Rahim Barzegar, John Quilty, Jan Adamowski	67
10	Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada 2019 ·Journal of Hydrology ·Rahim Barzegar, (unknown), Zhiming Qi, John Quilty, Jan Adamowski	49
11	On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction 2019 ·Agricultural and Forest Meteorology ·Alireza Ghaemi, Mohammad Rezaie-Balf, Jan Adamowski, Özgür Kişi, John Quilty	93
12	Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting 2019 ·Agricultural Water Management ·(unknown), Jan Adamowski, Mukesh Tiwari, John Quilty	88
13	An ensemble wavelet-based stochastic data-driven framework for addressing nonlinearity, multiscale change, and uncertainty in water resources forecasting 2018 ·eScholarship@McGill (McGill) ·John Quilty	1
14	A Stochastic Data‐Driven Ensemble Forecasting Framework for Water Resources: A Case Study Using Ensemble Members Derived From a Database of Deterministic Wavelet‐Based Models 2018 ·Water Resources Research ·John Quilty, Jan Adamowski, Marie‐Amélie Boucher	64
15	Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle 2017 ·Environmental Research ·Ravinesh C. Deo, Nathan Downs, Alfio V. Parisi, Jan Adamowski, John Quilty	78
16	Using the COMPA autonomous architecture for mobile network security 2017 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), John Keeney, (unknown), John Quilty, Sven van der Meer	6
17	Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model 2016 ·Stochastic Environmental Research and Risk Assessment ·Ravinesh C. Deo, Mukesh Tiwari, Jan Adamowski, John Quilty	203
18	Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq 2016 ·Journal of Hydrology ·Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Othman Jaafar, Ravinesh C. Deo, Özgür Kişi, Jan Adamowski, John Quilty, Ahmed El‐Shafie	268
19	The application of Dynamic Linear Bayesian Models in hydrological forecasting: Varying Coefficient Regression and Discount Weighted Regression 2015 ·Journal of Hydrology ·(unknown), Bogdan Ozga-Zieliński, Jan Adamowski, John Quilty, Bahaa Khalil	8
20	Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS 2014 ·Expert Systems with Applications ·Manish Kumar Goyal, Birendra Bharti, John Quilty, Jan Adamowski, Ashish Pandey	251

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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