Robert J. May
Impact in
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
Papers in
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- Hydrological Forecasting Using AI 6
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- Energy Load and Power Forecasting 2
- Advanced Measurement and Detection Methods 2
- Co-authors
- Holger R. Maier (5 shared papers)Graeme C. Dandy (4 shared papers)T.M.K.G. Fernando (1 shared paper)John B. Nixon (1 shared paper)Wenyan Wu (2 shared papers)John Mashford (1 shared paper)David Marlow (1 shared paper)Feifei Zheng (1 shared paper)
- Journals
- Journal of Aircraft (2 papers)Environmental Modelling & Software (2 papers)Journal of Hydrology (1 paper)Educational and Psychological Measurement (1 paper)Journal of Computing in Civil Engineering (1 paper)
- Partner nations
- AustraliaUnited StatesSouth Africa
In The Last Decade
Robert J. May
10 papers receiving 564 citations
Peers
Comparison fields: 5 of 85
- Environmental Engineering 337
- Water Science and Technology 254
- Global and Planetary Change 172
- Civil and Structural Engineering 109
- Ocean Engineering 54
Countries citing papers authored by Robert J. May
This map shows the geographic impact of Robert J. May'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 Robert J. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. May more than expected).
Fields of papers citing papers by Robert J. May
This network shows the impact of papers produced by Robert J. May. 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 Robert J. May. The network helps show where Robert J. May may publish in the future.
Co-authors
The 12 scholars most cited alongside Robert J. May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 246 | |
| 2 | 2008 | 148 | |
| 3 | 2013 | 74 | |
| 4 | 2010 | 65 | |
| 5 | A method for comparing data splitting approaches for developing hydrological ANN models | 2012 | 19 |
| 6 | 2022 | 14 | |
| 7 | 1983 | 3 | |
| 8 | 1971 | 2 | |
| 9 | 1983 | 1 | |
| 10 | 1978 | 1 |
About Robert J. May
Robert J. May is a scholar working on Environmental Engineering, Electrical and Electronic Engineering, Water Science and Technology, Civil and Structural Engineering and Artificial Intelligence, having authored 10 papers that have together received 573 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Water Systems and Optimization (2 papers), Neural Networks and Applications (2 papers), Energy Load and Power Forecasting (2 papers), Hydrology and Watershed Management Studies (2 papers), Advanced Measurement and Detection Methods (2 papers), Rocket and propulsion systems research (2 papers) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Environmental Engineering (337 citations), Water Science and Technology (254 citations), Global and Planetary Change (172 citations), Civil and Structural Engineering (109 citations) and Ocean Engineering (54 citations). Robert J. May has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include Holger R. Maier, Graeme C. Dandy, T.M.K.G. Fernando, John B. Nixon, Wenyan Wu, John Mashford, David Marlow, Feifei Zheng, Hoshin V. Gupta and Junyi Chen. Their work appears in journals such as Journal of Aircraft, Environmental Modelling & Software, Journal of Hydrology, Educational and Psychological Measurement and Journal of Computing in Civil Engineering.
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.