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 27
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- Hydrology and Watershed Management Studies 16
- Co-authors
- Jan Adamowski (18 shared papers)Ravinesh Chand Deo (3 shared papers)Mukesh Kumar Tiwari (2 shared papers)Bahaa Khalil (3 shared papers)Özgür Kişi (2 shared papers)Ashish Dewakar Pandey (1 shared paper)Manish Kumar Goyal (1 shared paper)Birendra Bharti (1 shared paper)
In The Last Decade
John Quilty
32 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 102
- Environmental Engineering 1.6k
- Water Science and Technology 1.0k
- Global and Planetary Change 1.0k
- Atmospheric Science 266
- Ocean Engineering 188
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 286 | |
| 2 | 2014 | 258 | |
| 3 | 2016 | 215 | |
| 4 | 2018 | 197 | |
| 5 | 2016 | 161 | |
| 6 | 2020 | 154 | |
| 7 | 2019 | 96 | |
| 8 | 2019 | 90 | |
| 9 | 2016 | 83 | |
| 10 | 2021 | 82 | |
| 11 | 2017 | 80 | |
| 12 | 2020 | 73 | |
| 13 | 2018 | 63 | |
| 14 | 2020 | 61 | |
| 15 | 2021 | 58 | |
| 16 | 2023 | 51 | |
| 17 | 2019 | 49 | |
| 18 | 2020 | 46 | |
| 19 | 2021 | 41 | |
| 20 | 2021 | 33 |
About John Quilty
John Quilty is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Ocean Engineering and Atmospheric Science, having authored 34 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (27 papers), Hydrology and Watershed Management Studies (16 papers), Energy Load and Power Forecasting (8 papers), Hydrology and Drought Analysis (7 papers), Flood Risk Assessment and Management (6 papers), Water resources management and optimization (3 papers), Meteorological Phenomena and Simulations (3 papers) and Solar Radiation and Photovoltaics (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 (266 citations) and Ocean Engineering (188 citations). John Quilty has collaborated with scholars based in Canada, India and Iran. Frequent co-authors include Jan Adamowski, Ravinesh Chand Deo, Mukesh Kumar Tiwari, Bahaa Khalil, Özgür Kişi, Ashish Dewakar Pandey, Manish Kumar Goyal, Birendra Bharti, Anna E. Sikorska‐Senoner and Rahim Barzegar. 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.