John Quilty
Impact in
- Environmental Engineering top 0.5%
- Hydrological Forecasting Using AI
- Water Science and Technology top 1%
- Hydrology and Watershed Management Studies
Papers in
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- Hydrological Forecasting Using AI 28
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- Hydrology and Watershed Management Studies 17
- Co-authors
- Jan Adamowski (18 shared papers)Ravinesh C. Deo (3 shared papers)Mukesh Tiwari (2 shared papers)Bahaa Khalil (3 shared papers)Özgür Kişi (2 shared papers)Manish Kumar Goyal (1 shared paper)Birendra Bharti (1 shared paper)Ashish Pandey (1 shared paper)
In The Last Decade
John Quilty
34 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 100
- Environmental Engineering 1.6k
- Water Science and Technology 1.0k
- Global and Planetary Change 1.0k
- Atmospheric Science 263
- Ocean Engineering 187
Countries citing papers authored by John Quilty
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
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-authors
The 25 scholars most cited alongside John Quilty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 284 | |
| 2 | 2014 | 261 | |
| 3 | 2016 | 213 | |
| 4 | 2018 | 193 | |
| 5 | 2016 | 157 | |
| 6 | 2020 | 154 | |
| 7 | 2019 | 97 | |
| 8 | 2019 | 88 | |
| 9 | 2016 | 82 | |
| 10 | 2017 | 80 | |
| 11 | 2021 | 77 | |
| 12 | 2020 | 67 | |
| 13 | 2018 | 64 | |
| 14 | 2020 | 58 | |
| 15 | 2021 | 58 | |
| 16 | 2019 | 49 | |
| 17 | 2020 | 46 | |
| 18 | 2023 | 45 | |
| 19 | 2021 | 39 | |
| 20 | 2021 | 32 |
About John Quilty
John Quilty is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Electrical and Electronic Engineering and Ocean Engineering, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (28 papers), Hydrology and Watershed Management Studies (17 papers), Energy Load and Power Forecasting (8 papers), Flood Risk Assessment and Management (7 papers), Hydrology and Drought Analysis (7 papers), Water resources management and optimization (3 papers), Solar Radiation and Photovoltaics (3 papers) and Reservoir Engineering and Simulation Methods (3 papers). The work is most often cited by research in Environmental Engineering (1.6k citations), Water Science and Technology (1.0k citations), Global and Planetary Change (1.0k citations), Atmospheric Science (263 citations) and Ocean Engineering (187 citations). John Quilty has collaborated with scholars based in Canada, Iran and India. Frequent co-authors include Jan Adamowski, Ravinesh C. Deo, Mukesh Tiwari, Bahaa Khalil, Özgür Kişi, Manish Kumar Goyal, Birendra Bharti, Ashish Pandey, Anna E. Sikorska‐Senoner and Othman Jaafar. Their work appears in journals such as Journal of Hydrology, Environmental Modelling & Software, Water Resources Research, Stochastic Environmental Research and Risk Assessment and Expert Systems with Applications.
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.